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Review

Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review

by
Tyas Mutiara Basuki
1,*,
Hunggul Yudono Setio Hadi Nugroho
1,
Yonky Indrajaya
1,
Irfan Budi Pramono
2,
Nunung Puji Nugroho
1,
Agung Budi Supangat
1,
Dewi Retna Indrawati
3,
Endang Savitri
1,
Nining Wahyuningrum
1,
Purwanto
1,
Sigit Andy Cahyono
1,
Pamungkas Buana Putra
1,
Rahardyan Nugroho Adi
1,
Agung Wahyu Nugroho
1,
Diah Auliyani
1,
Agus Wuryanta
2,
Heru Dwi Riyanto
1,
Beny Harjadi
4,
Casimerus Yudilastyantoro
3,
Luthfi Hanindityasari
1,
Firda Maftukhakh Hilmya Nada
1 and
Daniel Pandapotan Simarmata
3
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1
Research Center for Ecology and Ethnobiology, National Research and Innovation Agency, Jalan Raya Jakarta-Bogor Km. 46, Cibinong 16911, Indonesia
2
Research Center for Limnology and Water Resources, National Research and Innovation Agency, Jalan Raya Jakarta-Bogor Km. 46, Cibinong 16911, Indonesia
3
Research Center for Population, National Research and Innovation Agency, Jalan Gatot Subroto No. Kav 10, Jakarta 12710, Indonesia
4
Research Center for Geological Disaster, National Research and Innovation Agency, Jalan Sangkuriang, Kompleks BRIN, Coblong, Bandung 40135, Indonesia
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(16), 9997; https://doi.org/10.3390/su14169997
Submission received: 30 June 2022 / Revised: 2 August 2022 / Accepted: 8 August 2022 / Published: 12 August 2022
(This article belongs to the Special Issue Integrated Watershed Management for Adaptation to Climate Change)

Abstract

:
Climate change is a major challenge for Indonesia due to its impact on food, water, energy sustainability, and environmental health. Almost all Indonesian regions are exposed to floods, landslides, soil erosion, drought, and heavy rains. In response to these challenges, the Government of Indonesia has determined integrated watershed management (IWM) to be one of the key programs to reduce greenhouse gas (GHG) emissions, as stated in the updated Indonesian nationally determined contribution (NDC). This paper intends to review Indonesia′s efforts in mitigating and adapting to climate change through an IWM approach, and its attempts to realize a decent life and environment for all communities. Improvement of the IWM can be conducted by strengthening the synergy between the responsible institutions for watershed management and the responsible institutions for handling mitigation and adaptation of climate change impacts. In addition, it is important to prioritize coordination, participation, and collaboration not only at the national government level but also at the international level, since numerous problems may exist in the transboundary between countries, and finding solutions should involve planning, implementation, monitoring, and evaluation. Implementing the micro watershed model (MWM), supported by culture, local wisdom, and traditional knowledge in communities, can be used to improve the current IWM.

1. Introduction

Climate change is one of the greatest threats to human beings and the environment. Concerning this pressing issue, various international commitments and actions have been conducted to mitigate climate change and adapt to its negative impacts. In this regard, the Government of Indonesia has ratified the United Nations Framework Convention on Climate Change and the Kyoto Protocol [1]. The Kyoto Protocol is an international agreement to reduce greenhouse gases (GHGs). Due to its commitment, Indonesia has a responsibility to regularly report the National Communications and Biennial Update Reports of GHGs [2]. To fulfill and implement the commitments, the Government has submitted related documents to the UNFCCC. The submission was conducted in 1999, 2010, and 2017 for the First, Second, and Third National Communication, respectively [3]. The Government also submitted the First, Second, and Third Biennial Update Report in 2016, 2018, and 2021, respectively. The Third Biennial Update Reports presents the updated national GHG inventories, adaptation and mitigation actions, and also the needs and supports received [3].
The Kyoto Protocol is a non-legally binding international commitment, and it was replaced by the Paris Agreement (PA), which is legally binding between developed and developing countries. The PA established a global framework for avoiding dangerous climate change by limiting global warming to below 2 °C and pursuing efforts to limit it to 1.5 °C compared to the pre-industrial level. As a replacement for the 1997 Kyoto Protocol, which expired in 2012, the PA was adopted by 196 parties on 12 December 2015, and it went into effect on 4 November 2016.
Prior to the PA, the Government of Indonesia submitted the document of intended nationally determined contribution (INDC) to the Conference of Parties 21, UNFCCC, on 24 September 2015 [4]. Before COP 22, INDC was improved and known as nationally determined contributions (NDCs) through strengthening its clarity, transparency, and understanding for national and international levels. The NDCs is a national commitment to control global climate change in order to achieve the goals of the PA and the UNFCCC. Through NDCs, countries submit their commitments to reducing GHG emissions and building resilience to adapt to the impacts of rising temperatures [1].
The Government of Indonesia (GoI) has determined that NDCs will reduce GHG emissions by 29% unconditionally and up to 41% with international assistance compared to a business as usual scenario in the 2020–2030 period [3]. This commitment was updated at the 2021 UN Climate Change Conference, known as the 26th Conference of the Parties (COP26) [5]. At the COP26 forum, which was held in Glasgow, Scotland, United Kingdom, from 31 October to 13 November 2021, Indonesia committed to achieving the NDC target in 2030 by carrying out a low carbon compatible with Paris Agreement (LCCP) target scenario with the expectation that net-zero emissions can be achieved by 2060 or earlier. To realize the NDC, the Ministry of Environment and Forestry [6] determined the policy and implementation of Indonesia’s Forestry and Other Land Use Net Sink 2030, abbreviated as Indonesia’s FOLU Net Sink 2030 (Regulation of Minister of Environment and Forestry: SK. No. 168/PKTL/PLA.1/2/2022) with the principal of sustainable forest management, environmental governance, and carbon Governance [7].
Climate change disrupts the hydrological cycle [8,9,10], and the disruptions drive various impacts on watershed systems [11,12]. The diverse impacts are not only related to physical factors [13] but also to socioeconomic factors [14,15]. The physical factors can include a decrease in water resources, drought, and flooding due to extreme weather, land degradation, disease, or loss of agricultural production [16,17,18,19]. Climate change may affect socioeconomics through declining agricultural production because of a lack of water for the plants to grow [18], or by affecting fish production [20].
One of the main goals in watershed management is the continuous adequacy of clean water [21]. Water is the main medium for climate change to influence the Earth’s ecosystem and all its inhabitants [9,22]. Water availability becomes a determining factor in the strategy to reduce emissions and facilitate climate adaptation. For example, planting biodiesel crops as a strategy to mitigate GHG emissions becomes a dilemma when water availability is limited [23]. Therefore, an integrated watershed management (IWM) approach, which deals with flood prevention, drought mitigation, planting for erosion control, and carbon sequestration, including its socioeconomic aspects, is appropriate and relevant for mitigation and adaptation of the climate change impacts [24]. Wang, et al. [25] defined an “IWM as an integration of multidisciplinary aspects in managing a watershed in order to maintain the continuity of productivity and ecosystem function in relation to water, soil, plants, and animals within the watershed. Thus, the IWM activities should involve protection and restoration of ecosystem services for environmental, social, and economic benefit”.
The IWM approach has been explicitly stated in the updated Indonesian NDC and the Roadmap NDC Adaptation for climate change [26], and inexplicitly in the Roadmap NDC Mitigation of climate change [27]. Mitigation as efforts to prevent or reduce the emission of GHGs is mentioned in the Roadmap NDC Mitigation. The mitigation actions as part of IWM activities can be grouped into “reducing deforestation and forest degradation, sustainable forest management, increasing carbon stock through the development of forest plantation in mineral and peat lands, forest and land rehabilitation, increasing the role of conservation, and management of peat land by water management” [27].
The contribution of IWM to the reduction in GHGs emissions can be estimated by the total area of rehabilitated or reforested watersheds. According to MoEF [6], the total area of rehabilitated in watersheds in Indonesia in 2017, 2018, and 2019 was 200,990, 188,630, and 395,168 hectares, respectively. The amounts of CO2 sequestered in the tree biomass planted in the watershed for rehabilitation were 353,151 t CO2e in 2017 [28], 713,079 t CO2e in 2018 [29], and 771,653 t CO2e in 2019 [30].
As an archipelagic country of more than 17,000 islands with highly variable rainfall and altitude, Indonesia is very vulnerable to climate change [31]. Almost all regions in Indonesia are exposed to the risk of floods, landslides, soil erosion, and heavy rains during the rainy season. Meanwhile, some parts of Indonesia, especially in the eastern regions, experience drought. In this context and also considering the disruption of climate change on the hydrological cycle, the use of watersheds as a natural resource management unit that transcends administrative boundaries can be an effective approach to adapting to climate change [32,33]. Further, a watershed approach can be used to measure and evaluate the whole of natural systems in relation to social aspects beyond the administrative boundaries in order to communicate and understand the impact of their activities on the watershed [33]. In the updated Indonesian NDCAdaptation, the IWM is one of the key programs to be achieved through two strategies, i.e., (1) enhancing synergy across sectors and regions in watershed management and (2) mainstreaming/integrating climate change adaptation in watershed management to reduce risks/loss as a result of climate-related natural disasters [3]. Using the IWM approach, the natural processes and socioeconomic dynamics involved, as well as the causal relationship between the two, can be understood by the community in a simple way [32]. The social and economic aspects of IWM include livelihood, resilience, food security, and poverty reduction benefits [33]. Using a watershed as a management unit could reduce uncertainty in the projection of global climate change impacts on hydrology at the regional level. This is because of the large variation in applying global climate models (GCMs) for studying climate change effects on hydrological at the local scale [34].
Although the IWM approach has been stated in the NDC documents, it has not been completely implemented, especially at the local level. Apart from the IWM, the monitoring and evaluation (MONEV) of catchment hydrology have been affirmed in the regulation of the Director of Land Rehabilitation and Social Forestry No. P.15/V-SET/2009 on the development of the micro watershed model (MWM) [35]. In this regulation, the hydrological MONEV is intended to observe and measure the effects of the applied treatments, i.e., forest and land rehabilitation and soil and water conservation measurements in the catchments/micro watersheds, on hydrological conditions. This MONEV has not directly interlinked with the NDC program to mitigate GHG emissions because the MONEV regulation was issued earlier than the determination of NDC. Recently, the implementation of watershed management at the local scale emphasized the rehabilitation of woody plants in the expanse lands, or site levels and plots. Commonly, rehabilitation using woody plants is focused on preventing runoff and soil erosion of the degraded lands [36]. Thus, the communities receive less information on the benefits of woody plants for climate change mitigation [37].
At the local level, the integration of projects dealing with climate change mitigation and adaptation with watershed management projects has not been completely realized yet. Hence, the environmental issues, i.e., the impact of climate change and watershed degradation, cannot be solved within a project. Meanwhile, climate change and degraded watersheds affect the availability of water sources, and they can be quantified using a watershed approach [38].
In this paper, we present a narrative literature review. A narrative review provides an essential scientific role by presenting various sources of information on a certain topic within an article [39]. This paper aims to provide an overview of the roles of the existing IWM in mitigation and adaptation to the impacts of climate change, and to provide insights for IWM improvement in Indonesia. This paper is based on an analysis of published research papers, unpublished reports, books, and related documents. The overview is started from the international agreement to the national commitment and strategy, as well as the current role of IWM in mitigating and adapting to climate change. Then, the implementation and barriers of the existed IWM, including regulations, institution, planning, implementation, monitoring, and evaluation systems, are presented. In addition, this paper discusses climate change threats and challenges in Indonesia’s watershed, consisting of national adaptation strategy, threats, and challenges in biophysical, economic, and sociocultural aspects. The closing remarks section will provide recommendations for improving IWM on climate change mitigation and adaptation. In summary, the perspective of the review that will be discussed throughout this paper is illustrated in Figure 1. This figure shows the cause of climate change, its environmental impacts, and the existing condition. The negative impacts of climate change will be solved through improvements of IWM to achieve the expected condition.

2. IWM in Indonesia: Concept and Reality

2.1. Regulation

Law No. 7/2004 on Water Resources [40], as amended by Law No. 17/2019 [41], states that water resources should be managed following the principles of sustainability, balance, public benefit, integration and harmony, justice, independence, transparency, and accountability. Furthermore, according to Article 5, Law No. 17/2019, water resources should be controlled and used to maximize people’s prosperity. This is in accordance with the management principles of natural resources outlined in the 1945 Constitution of the Indonesian Government [42].
The first regional government law, Law No. 22/1999 on Regional Government, was enacted in 1999 [43]. The responsibility for watershed and forestry management is delegated to the provincial and district/city governments under this law. Law No. 22/1999 was amended by Law No. 23/2014 [44] on Regional Government. Based on this law, responsibility for watershed management and forestry was transferred to the provincial level, and the forestry services and watershed management activities in districts and cities no longer exist [44].
Article 3 of Law No. 41/1999 on Forestry states that forest management aims to maximize people’s prosperity, justice, and sustainability. The third verse of this law determines that forest management is conducted to increase the carrying capacity of the watershed [45]. According to Government Regulation No. 37/2012 on Watershed Management [46], watershed management activities include planning, implementation, monitoring, and evaluation, as well as training and supervision. In addition, watersheds are divided into two categories based on their carrying capacity, i.e., (1) those that must be restored and (2) those that must be maintained. A guideline for developing and determining a watershed management plan is provided in the Ministry of Forestry Regulation No. P.60/Menhut-II/2013 [47]. Meanwhile, a guideline for the MONEV of watershed management is stipulated by the Regulation of the Ministry of Forestry No. P.61/Menhut-II/2014 [48].
At the implementation level, there are several regulations, including (1) Law No. 37/2014 on Soil and Water Conservation [49], (2) Law No. 17/2019 on Water Resources [41], and (3) Government Regulation No. 26, 2020 concerning Forest Reclamation and Rehabilitation, which mentions general planning for watershed rehabilitation. The general planning is based on national forest planning, watershed planning, water resources planning, spatial planning, degraded land maps, mangrove maps, the ground water basin, and land cover map.
Before the laws mentioned above, Law No. 5/1960 on Basic Agrarian was issued [50]. Article 15 of Law No. 5/1960 obligates every citizen to preserve soil, including increasing its fertility and preventing damage. However, no land and water violators or destroyers have been brought to court so far. It is understood that those who are responsible for an area are the stakeholders of that area. However, the law does not stipulate what concepts are related to territorial maintenance, and it does not refer to using the watershed approach in the forestry law itself. Article 43 of Law No. 41/1999 concerning forestry states that everyone who owns, manages, and/or utilizes critical or unproductive forests is obliged to carry out forest rehabilitation for the purpose of protection and conservation [51].
The integrated management of watersheds requires the coherence of various regulations related to environmental conservation and the use of natural resources. Regulations are a framework for stakeholders, especially government agencies, to act and, therefore, these regulations greatly affect the efficiency and effectiveness of the implemented watershed management strategies. The reality of regulations, as found by Irawan and Dharmawan [52] shows that watershed management regulations in Indonesia have a very high level of complexity and tend to be sectoral in nature, so regulatory disconnections are still very prominent. This complexity, on the one hand, indicates that watershed management has been regulated in detail and, on the other hand, shows that there is a neglect of complexity and ambiguity in implementation. Weak law enforcement also adds to implementation problems. The implication of this is that government efforts are needed to synchronize various regulations in watershed management.

2.2. Institution

Watershed management can be viewed institutionally as the management of natural resources with various ownership, roles, actors, powers, and interests [21]. Effective watershed management requires better compatibility between those with authority over land use and those who own it and govern it. Lastiantoro and Cahyono [53] discovered that various stakeholders have an interest and power in the effectiveness of watershed management. The institution′s primary tasks and functions define its level of interest and power. This means that the institution which is responsible for watershed management must consider the public’s aspirations and roles to achieve success in the implementation of watershed management.
Contextually, watershed management in Indonesia is based on the Government Regulation No. 37/2012 with the following principles: (1) watershed management is conducted through the stages of planning, implementing, monitoring, evaluating, and directing and controlling, (2) watershed management is harmonized and mainstreamed with spatial planning and water resource management patterns, and (3) the coordination is carried out across institutions, sectors, and administrative areas while still involving communities. Watersheds are managed by involving many parties with various roles and functions at various scale levels. The non-linear watershed boundaries with administrative boundaries cause the complexity of governance to integrate management circulation with stakeholders’ involvement [54,55]. Government Regulation No. 37/2012 mandates that the MoEF, a government institution in charge of the forestry sector, serves as the main authority for watershed management [46]. The involvement of several key institutions is also explicitly mentioned, namely the Ministry of Public Works and Housing, the Ministry of Agriculture, the governors, and the regents/mayors [55].
The institutional framework for integrated watershed management consists of established rules, norms, practices, and organizations that provide a structure for human activities in watershed management [56]. According to Narendra et al. [21], institutional challenges in the IWM include hierarchical confusion, inconsistency, asynchrony among legislation, and a lack of participation, synchronization, and coordination among watershed management stakeholders. Limitations at the planning stage include a lack of integration between sectors, a lack of community participation, and a reluctance to integrate watershed planning into regional planning [55,57,58].
In the reality of implementing institutions for watershed management, there is no mechanism that encourages conservation activities and integrated natural resource management on a watershed scale between sectors and between regions, as well as strict sanctions against mismanagement of natural resources [59]. Furthermore, these shifts were closely linked to the power balance between central and local governments, which saw extreme decentralization followed by recentralization. This shift in the institution has a significant impact on regional governance. For example, in the Bribin watershed, management has been hampered by Law No. 23 of 2014. These limitations are related to the availability of human resources in the field and local government participation in the Bribin watershed’s management plans [60]. A study conducted by Harmiati, et al. [61] has concluded that some district governments′ failure to realize the institutions′ aspect in IWM is caused by the absence of a legal rule, lack of coordination, low participation, a top-down approach, and a lack of transparency in watershed management. Conflicts of interest between central and local governments and/or between local governments have exacerbated the situation upstream. Many regulations have been adopted (central and local), but in reality, many regulations overlap. There is confusion in this area in terms of authorities [62].

2.3. Planning, Implementation, and Monitoring and Evaluation Systems

The concept of watershed management has been recognized for thousands of years. A study of ancient civilizations showed that humanity was experienced in the use and management of water [63]. In China, the concept of watershed management, including soil and water resources, was introduced around 2880 BC, and regulations concerning forest protection laws have been applied since 300 BC [64].
At the end of the 20th century, an increasing population and demand for land, water, and other natural resources resulted in the need for more intensive watershed management. Ensuring the continuity of watersheds’ services in a changing climate requires the application of technical breakthroughs and holistic, cross-disciplinary methods in watershed management [25].
Planning, implementation, and MONEV in watershed management are needed for mitigation and adaptation to climate change. Monitoring and evaluation of watershed management can be used to detect climate change, especially from the hydrological aspect, and MONEV related to the increase or decrease in the forest or other land covers within watersheds can be used to calculate carbon stock in the plantation. Thus, it can be used to estimate the reduction in CO2 in the atmosphere. If any indication of climate change is observed, then watershed management planning and implementation must be adjusted for climate change mitigation and adaptation.

2.3.1. Watershed Management Planning

In Indonesia, watershed management planning is carried out based on the Ministry of Forestry Regulation No. P.60/Menhut-II/2013 on Guidelines for the Development and Determination of Watershed Management Plans [47]. The concept of a watershed management plan in the regulation has accommodated the roles of all parties, from planning, implementation, and MONEV. All parties are involved in identifying watershed management problems. Afterwards, the goals and objectives of watershed management are set. Subsequently, a program plan is prepared to address watershed management problems.
The National Planning Board coordinates the watershed management planning process if the watershed is located in two or more provinces, while planning is coordinated by the Provincial Planning Board if the watershed is located between districts within a province [47]. The results of the watershed management plan are signed by the Governor as a planning document. The watershed management plan is used as a reference by the sectors in preparing more detailed programs and activities. It also becomes the input for provincial and district governments in the Long Term Development Plan (RPJP), Medium Term Development Plan (RPJM), and Regional Government Activity Plan (RKPD) [47].
In fact, the watershed management plan that has been approved by the Governor is rarely referred to by the sectors involved in watershed management. This is due to the absence of legal force underlying the watershed management plan [62]. Other sectors are more compliant with the RPJP, RPJM, and RKPD, which have a strong legal basis, i.e., regional regulations. For the watershed management plan to be referenced by other sectors, the watershed management plan must be integrated into the RPJP, RPJM, and RKPD. Unfortunately, this integration has not been fully performed, because each region is more interested in obtaining economic benefits [65]. Consequently, the watershed management plan is only implemented by the forestry sector, and the results have not met the determined targets.

2.3.2. Watershed Management Implementation

Technically, the implementation of watershed management is closely related to soil and water conservation (SWC) activities, whether aimed at soil conservation, water conservation, or both. The applied SWC can be mechanical or vegetative measures. Soil conservation has typically been discussed concerning crop production and maintaining the soil in place. Soil conservation was studied in the early 2000s in terms of its benefits for boosting crop yields, reducing water pollution, and reducing GHG concentrations in the atmosphere as an impact of the climate change phenomenon [66]. In the watershed context, these impacts need attention in their management by utilizing technological advances in a holistic and interdisciplinary approaches to ensure that watersheds can continue to serve their ecological, social, and economic functions sustainably [67].
The implementation of inter-provincial watershed management by the central government involves the Ministry of National Development Planning, the Ministry of Environment and Forestry, and the Ministry of Public Works and Public Housing (see Figure 2). Meanwhile, the implementation of watershed management in the province involves the Ministry of National Development Planning and the Ministry of Home Affairs (see Figure 3).
The target area for watershed management implementation is generally divided into upstream and downstream areas, depending on the region. An upstream area is a conservation and water-producing area with sections of significant rainfall and a sloping landscape with high altitudes [68,69]. A downstream area is a lowland area that is frequently classified as a disaster-affected area, as well as a benefit area in terms of water supplies [69]. The upstream–downstream distribution has ramifications for differences in SWC implementation, both in terms of activity types and field implementation strategies [36].
Spatial integration (upstream–downstream) and sectoral integration in watershed management in Indonesia has not yet fully occurred. Since 1983, a watershed management pattern has been developed, and in 2009 it was updated with an integrated watershed management plan. The Governor signs the integrated watershed planning document when a watershed is in his/her administration area. Unfortunately, this document has not been used for guidance by all stakeholders [70].
Although there is a lack of integration in watershed management, there is an example of good watershed management in Indonesia. The management of the Cidanau Watershed is an example of the successful integration of resource sharing between the upstream and downstream areas of a watershed. Integration between sectors is also built in the management of the watershed. The private sector downstream of Cidanau, namely the industry in Cilegon City, offers a payment for environmental services to farmers to maintain the trees on their land. This activity was initiated by the non-governmental organization Rekonvasi Bhumi, and the Serang Regency Government acts as a mediator for transactions between water users from Cidanau watershed and land managers in the upstream part of the watershed [71]. The success of this sectoral integration is due to the commitment of all parties [72]. In this way, the sustainability of the Cidanau watershed can be guaranteed.
The key issue in the upstream areas that requires watershed management activities is the high level of soil erosion produced by intensive cultivation of seasonal crops on steep slope lands [73,74]. This is exacerbated by the lack of proper implementation of the SWC measures, particularly in terms of the suitability of the technique chosen to solve the problems [75,76]. The downstream area issues are mostly related to hydrometeorological disasters, such as floods, sedimentation, and drought [57].
One of the reasons for the less successful implementation of upstream watershed management in Indonesia is the lack of integration in the application of SWC and the lack of integration among the parties in carrying out management activities [77,78]. In addition, a less optimal selection of activities that correspond to the root of the problems frequently leads to partial and ineffective problem solving [79]. Therefore, MWM was developed as a management model in the upstream watershed and is expected to be a prototype for the implementation stage. A micro watershed is a cohesive ecosystem unit with natural features, such as slope, soil, drainage, and geomorphology, covering one or more villages or one or more sub-districts, and functions to collect, store, and drain rainwater [80,81]. According to the Director General of Land Rehabilitation and Social Forestry Regulation No. P.15/V-SET/2009 concerning the Guidelines for the Development of Micro Watershed Model Areas (MWM), the area of a micro watershed is less than 5000 ha, and the management plan is prepared by the stakeholders. However, the field reality shows that the development of the MWM has not been carried out as expected. The large area of the micro watershed (5000 ha) makes integration among stakeholders and building community participation difficult [57,67]. Therefore, several improvements must be made to realize MWM as an implementation unit.

2.3.3. Watershed Management Monitoring and Evaluation

Climate change causes changes in rainfall patterns and increases in temperature. Along with climate change impacts, water demand in Indonesia will increase by 31% from 2015 to 2045 [33]. Consequently, efforts to meet future water needs must be performed intensively and in an integrative manner with the watershed as a management unit. Based on their research findings, Marshall and Randhir [12] predicted that climate change would significantly affect river flow, sediment and nutrient loads, and the timing and peak of flooding. Therefore, MONEV is essential in watershed management to obtain activity-related data or information for the improvement of watersheds, and also to observe the changes in some climate variables.
Monitoring and evaluation are undertaken to determine the progress of watershed management and to assess whether the managed watershed is heading towards improvement or is still degraded. Based on the Ministry of Forestry Regulation No. P.61/Menhut-II/2014, MONEV of watershed performance indicators comprises five criteria, i.e., (1) land, (2) water quality, quantity, and continuity (hydrology), (3) socioeconomic, (4) building investment value, and (5) regional space utilization [48]. The results of MONEV can be used to determine the condition of a watershed, either as healthy and should be maintained, or degraded and should be restored [82]. The results also provide information on the severity level of the watershed degradation as a basis for selecting priority areas for restoration. Thus, the results of the MONEV can serve as inputs for watershed management planning improvement in the following period. However, these results have not been widely used to improve the plan. This is due to the lack of communication between the parties conducting MONEV and the parties developing watershed management planning [21]. In IWM, all the parties should work together to establish the priority areas to restore and assign the targets to achieve.
Almost all watershed management projects have not performed sufficient MONEV on the impacts of watershed improvements in the upstream and downstream areas [83]. Similar to the implementation aspect, MONEV of watershed management in Indonesia has only been conducted by the forestry sector, especially the Watershed and Protected Forest Management Office, and the results have not been socialized to the parties. Ideally, MONEV of watershed management is executed jointly by related parties, such as the monitoring of water management and building investment by the Ministry of Public Works and Housing (MoPWH), monitoring of land use and land cover (LULC) by the MoEF and MoA, monitoring of regional space utilization by the Ministry of National Development Planning (MoNDP), and monitoring of socioeconomic conditions by the Ministry of Agriculture [84]. Then, the evaluation of watershed management is carried out together by the parties coordinated by the Governor. Unfortunately, the integration of MONEV has not been implemented. This happens because each party feels they have the same position. In fact, in Government Regulation No. 37/2012, it has been stated in Article 50 that the Minister, in this case, the Minister of Forestry, under his authority and responsibility, carries out monitoring and evaluation of watershed management across provinces, and the Governor carries out monitoring and evaluation of inter-districts. Therefore, the Government may need to issue a Presidential Regulation that authorizes the minister and the Governor to coordinate MONEV of watershed management, and to divide the tasks of MONEV of watershed management among the parties involved.

3. Climate Change Threats and Challenges to Indonesian’s Watershed

Starting in the industrial era, GHG emissions, especially CO2, have increased rapidly. The main factor in GHG emissions is the use of fossil fuels, such as coal, natural gas, and petroleum. According to data released by the US Department of Energy′s Center for Carbon Dioxide Information Analysis Center (CDIAC), humans have added more than 400 billion metric tons of CO2 into the atmosphere since 1751. About half of that amount was produced from the late 1980s to the present and, in 2014, the global carbon emissions estimated from fossil fuels was 9855 million metric tons of carbon [85]. This increase in GHGs has caused an increase in temperature and induced global warming.
Climate change due to global warming can be observed from changes in the pattern and intensity or shifts in climate’s main parameters, such as precipitation, temperature, humidity, wind, cloud cover, and evaporation [86]. In general, climate change affects water availability, water-related ecosystems, and also the magnitude and occurrence of hydrometeorological disasters, such as floods and droughts [87,88]. Eventually, it will influence many sectors, including agriculture, energy, fisheries, tourism, health, and biodiversity [87]. It is projected that increasing global warming will increase the frequency and intensity of hot extremes, heavy precipitation, and, in some areas, agricultural and ecological droughts [89]. It will certainly pose greater threats and challenges for watershed management. The strengths, weaknesses, opportunities, and threats of integrated watershed management in Indonesia are shown in the SWOT framework (Table 1).

3.1. National Regulation and Policy on Climate Change Adaptation

Indonesia has been actively involved in efforts to combat global climate change since the ratification of the United Nations Framework Convention on Climate Change [1] through Law No. 6/1994 [90], followed by the ratification of the Kyoto Protocol in 2004 through Law No. 17/2004 [91]. By ratifying the Kyoto Protocol, Indonesia has committed to take real actions and efforts to reduce GHG emissions, increase carbon sequestration, and improve social welfare and environmental quality [92]. Furthermore, in 2009, the Government of Indonesia (GoI) issued Law No. 32/2009 on the Protection and Management of the Environment, which authorizes the Ministry of Environment (MoE, later MoEF) to determine and implement policy on controlling the impact of climate change [140].
As a vulnerable country, Indonesia urgently needs to develop climate change adaptation actions as a process to strengthen and develop a strategy to anticipate the negative impacts of climate change [141]. The adaptation efforts should be integrated and synergistic with the mitigation efforts to increase local community acceptance and guarantee the sustainability of the programs [26]. Implementing climate change adaptation efforts in Indonesia has been a lengthy process. It began in 2010 with the development of the Indonesia Climate Change Sectoral Roadmap (ICCSR), which was later translated into the 2014 National Action Plan for Climate Change Adaptation (Rencana Aksi Nasional Adaptasi Perubahan Iklim/RAN-API) [142,143]. The RAN-API provides a framework for adaptation initiatives that have been mainstreamed into the National Development Plan [144]. The main objective of climate change adaptation in the RAN-API was the implementation of a development system that is sustainable and has high resilience to the impacts of climate change [143].
To strengthen its commitment to tackling global climate change, Indonesia has signed and ratified the Paris Agreement through Law No. 16/2016 [145]. In 2016, the first NDC document as the state′s commitment to supporting climate change action had also been submitted to the UNFCCC [26,144]. However, since it was submitted in 2016, Indonesia′s NDC-adaptation is still a commitment, and has not been formulated in quantitative target numbers as the climate change mitigation target, with a commitment to reduce GHG emissions from 29% (unconditional) to 41% (conditional) by 2030, compared to a business as usual scenario [26].
In 2016, the MoEF issued Regulation No. P.33/Menlhk/Setjen/Kum.1/3/2016 on Guidelines for Developing Climate Change Adaptation Actions [141]. This regulation aims to guide the Government and local governments in developing climate change adaptation plans for specific regions and/or sectors, which consists of five steps, i.e., (1) identification of area coverage and/or specific sector targets and climate change impact problems, (2) preparation of climate change vulnerability and risk assessments, (3) preparation of climate change adaptation action options, (4) prioritization of climate change adaptation actions, and (5) integration of climate change adaptation actions into policy, planning, and/or development program [141]. To support the preparation of climate change vulnerability and risk assessments, the MoEF developed an information system for vulnerability index data [146], which was initiated in 2015 [105] to identify an area′s exposure, sensitivity, and adaptability to climate change (http://sidik.menlhk.go.id/ accessed on 28 May 2022). Moreover, the Directorate of Climate Change Adaptation [147] states that (1) exposure to climate change is related to the location of an area; for example, the coastal area is highly exposed to climate change because it is affected by the increase in tidal waves, (2) the sensitivity of an area depends on how the area is affected by climate change, and (3) adaptability is associated to the capability of a system/area to adapt to climate change.
At the end of 2016, the MoEF reissued the Climate Village Program, which was previously launched by the MoE in 1992, through Regulation No. P.84/Menlhk/Setjen/Kum.1/11/2016 [94]. The Climate Village Program, or ProKlim, is a site-based climate change adaptation and mitigation activity that involves the community, government, businesses, universities, and non-profit organizations [86]. As a national-level program managed by the MoEF, the ProKlim is intended to increase community and stakeholder participation in strengthening adaptation capacity to climate change impacts and reducing GHG emissions, as well as to recognize adaptation and mitigation efforts that can improve local welfare [94]. In 2017, the Directorate General of Climate Change Control (DGCCC) published a roadmap of ProKlim, which outlines the national policy steps in increasing community climate resilience at the local level, both in the pre-2020 (2017–2019) and post-2020 (2020–2030) periods, to calculate its contribution to the achievement of GHG emission reduction [148]. To facilitate monitoring activities related to the first NDC implementation pre-2020 and post-2020, the MoEF issued Decree No. SK.679/MENLHK/SETJEN/KUM.1/12/2017 on Monitoring the Implementation of Nationally Determined Contribution [95]. This decree stipulated the establishment of a steering team and, also, a technical team, for monitoring the NDC’s implementation.
In 2018, the DGCCC issued Regulation No. P.2/PPI/SET/KUM.1/1/2018 on Guidelines for Facilitating Climate Change Adaptation Plan Development in the Regions [149]. It was intended to serve as a guide for the Climate Change and Land–Forest Fire Control Agency (Badan Pengendalian Perubahan Iklim dan Kebakaran Hutan dan Lahan—BPPIKHL) in implementing regional capacity building through facilitation activities for the preparation of climate change adaptation plans in the regions. In addition, the MoEF issued MoEF Regulation No. P.7/Menlhk/Setjen/Kum.1/2/2018 on Guidelines for Assessing Vulnerability, Risk, and the Impact of Climate Change [150]. It was issued to follow up Law No. 32/2009 on the Protection and Management of the Environment, which stipulates that the Government and local government must prepare the Strategic Environmental Assessment, which consists of, among others, assessments of vulnerability and capacity for adaptation to climate change [140], and also the MoEF Regulation No. P.33/Menlhk/Setjen/Kum.1/3/2016 on Guidelines for Developing Climate Change Adaptation Actions [141], which requires information on climate change impacts, vulnerability assessment, and climate change risks.
Indonesia is committed to realizing ecosystem and landscape resilience from the impacts of climate change following the NDC. In 2019, the DGCCC issued Regulation No. P.4/PPI/SET/KUM.1/11/2019 on Guidelines for the Identification of Ecosystem-based Climate Change Adaptation [151]. Based on this regulation, ecosystem-based climate change adaptation is an adaptation activity to protect or maintain ecosystems from the impacts of climate change while at the same time assisting communities in adapting to the impacts of climate change through the services they produce. Identification of ecosystem-based climate change adaptation is needed to support the implementation of the MoEF Regulation No. P.33/Menlhk/Setjen/Kum.1/3/2016, as well as the MoEF Regulation No. P.7/Menlhk/Setjen/Kum.1/2/2018, and aids in assisting the implementation of the assessment of climate change impact on ecosystems, as well as in the preparation of adaptation action options related to the existence of ecosystem services [151].
The MoNDP/Bappenas reformulated the 2014 RAN-API, i.e., National Adaptation Plan (NAP). The NAP is a document that will serve as the primary reference for planning climate change adaptation efforts that are on target through adaptive criteria [152]. The NAP was created through a scientific, inclusive, and iterative process that considered the characteristics of the sector and region through scientific studies that were strengthened by experiences and practices from various parties on the ground. The NAP, as a national strategic plan, includes four priority sectors for climate change adaptation, i.e., (1) marine and coastal, (2) water, (3) agriculture, and (4) health, as well as four clusters of adaptation strategies, i.e., (1) infrastructure, (2) technology, (3) capacity building, and (4) governance, that must be developed in each priority sector [152]. To provide technical direction on the adaptation aspect of the NDC implementation needed to achieve the NDC 2030 target, the MoEF published the NDC Adaptation Roadmap in 2020 [26]. This document serves as a reference for the preparation of more technical planning and implementation of climate change adaptation at sectoral and regional levels to realize climate change adaptive national development. In 2021, the MoEF published an updated NDC by enhancing, among others, Indonesia’s ambition for adaptation as specified in the programs, strategies, and actions to achieve economic, social, and livelihood resilience, as well as ecosystem and landscape resilience [3].
To fulfill the Paris Agreement commitment, the MoNDP/Bappenas has designated Climate Resilience Development (Pembangunan Berketahanan Iklim-PBI) as one of the seven Development Agenda/National Priorities (Prioritas Nasional-PN) in the 2020–2024 National Medium-Term Development Plan (Rencana Pembangunan Jangka Menengah Nasional-RPJMN), i.e., PN.6 enhancing the environment and resilience to natural disaster and climate change impacts, as stipulated by Presidential Regulation No. 18/2020 [3,153]. In 2021, the MoNDP/Bappenas published Climate Resilience Development Policy 2020–2045 as a reference for stakeholders in implementing PN.6 of RPJMN 2020–2040, consisting of six books, i.e., (1) a list of locations and actions of climate resilience, (2) institutional arrangement for climate resilience, (3) roles of non-government institutions in climate resilience, (4) climate resilience funding, (5) monitoring, evaluating, and reporting on climate resilience actions within the framework of national development planning, and (6) an executive summary of the Climate Resilience Development Policy 2020–2045 [142].
Referring to the first and updated NDC documents, the strategic approach used to achieve the NDC target employed an integrated landscape-scale approach, covering terrestrial, coastal, and marine ecosystems [3,144]. The IWM was one of the key programs of climate resilience activities, particularly to support economic resilience and also the ecosystem and landscape resilience [3,95]. Climate resilience is a planned or unplanned anticipatory action to reduce the value of potential losses caused by climate change threats, vulnerabilities, impacts, and risks on people′s lives in affected areas [142]. There is a need to integrate climate change into public policy and planning initiatives. Climate change integration is a process that involves strengthening links between scientific and policy communities and learning from past experiences [154]. Implementing best management practices (BMPs) at the sub-watershed level is an effective way to enforce climate resilience in a watershed [10,155].

3.2. Threats and Challenges of Climate Change on the Biophysical Aspect of Watershed Management

3.2.1. Climate Change Impacts on the Land Productivity

Disruption of the hydrological cycle due to changes in temperature and rainfall patterns can affect the biophysical conditions of watersheds, i.e., land, hydrology, and vegetation. As an agricultural country, Indonesia is highly dependent on agricultural products. Rising temperature and changes in the rainfall pattern significantly affect the agricultural sector [120], causing a significant loss of agricultural products and threatening food security [121,122]. Several modeling studies suggested that the mean rice yield will decrease in 2040–2050 by 11.7% in the Keduang Sub watershed, Central Java [156], 32.0% in Sumedang, West Java [157], and 12.1% for all of Indonesia [158]. A simulation model estimated that Indonesia will have a husked rice deficit of 90 million tons by 2050 [159]. In addition, extreme weather also causes a decline in the production of coffee [160], cassava [161], and tobacco [162].
Climate change has forced farmers to adapt to changes in cropping patterns [121] and select more tolerant species [163]. Over generations, the farmers used a traditional system called Pranotomongso (in Java) and Kerta Masa (in Bali) as part of the agronomy calendar to determine the beginning of the planting season, the crop selection, and the crop rotation time [162,164,165,166]. The system was based on the signals of the environment; for example, when a specific tree grows its leaves, a certain type of insect emerges [162]. However, this system has now become less accurate due to climate change with its unpredictable weather [162], and farmers have been forced to reconsider their current agricultural practices. Adjusted planting time to rainfall patterns could suppress the yield reduction by 16.2% [157]. Moreover, adjustments to varieties, fertilizer, and feed should be made to be more compatible with local conditions to prevent further decline in agriculture productivity [167].

3.2.2. Climate Change Impacts on Hydrometeorological Disasters

Climate change also increases the incidence of disasters [123], especially hydrometeorological disasters, such as floods, droughts, and landslides [124,125,126,127], as a result of changes in rainfall patterns and intensity [125]. Warmer temperatures on land and oceans cause more water to evaporate, change the intensity and frequency of rainfall events and, in turn, affect the magnitude and frequency of river flooding [168,169]. Paradoxically, the dry season in some places becomes more intense due to more water evaporating from the land and changing global weather patterns [170]. From observing 50 years of flood events at 774 stream gauge stations in the central United States, climate change has led to a significant increase in the frequency of flooding events, but not in peak floods [171]. However, the same data shows that, in a small number of areas, the frequency of flooding has decreased. Over the past two decades, climate change has resulted in floods and droughts affecting 3 billion people [170].
In Indonesia, data from the National Disaster Management Agency shows that over the last two centuries, the frequency of flood events, as the type of disaster that most often occurs with the most casualties, has steadily and significantly increased as the country entered the 21st century [172,173]. Climate change has caused high rainfall, particularly in the western region of Indonesia, triggering floods [174]. In 2020, there were 1518 flood occurrences across all Indonesian regions, causing 132 deaths and displacing 782,054 people [173].
In contrast to flood disasters, which occur in a relatively short time and affect smaller areas, drought occurs gradually and over a large area [175]. In terms of impacts, drought also adversely impacts the environment, the economy, and wider society [176]. It will significantly threaten food security through its impacts on food availability (crop production, stock, and trade), food accessibility (food trade, income, and market price), and food stability (adequate access to food) [177]. In Indonesia, drought needs more attention, considering that, as a tropical country, Indonesia is very sensitive to the El Niño-Southern Oscillation [178], which is the cause of drought [179]. From historical records, the greatest drought experienced by Indonesia was in 1997/98, when the ENSO phenomenon occurred [126]. Due to increasing global warming, it is projected that some regions will experience agricultural and ecological droughts [89]. The provinces most vulnerable to drought in Indonesia are Riau, Jambi, South and North Sumatra, and all Kalimantan, except for North Kalimantan [179].
Drought also triggers forest and land fires. During the 1997/98 ENSO drought period, forest and land fires were estimated to have affected 11.7 million hectares (ha) of areas, mostly forested peatland [180]. The fires significantly threaten sustainable development due to their direct impacts, such as the decline in forest vegetation and biodiversity, loss of property and even lives, and their indirect impacts, such as air pollution due to smoke, carbon emissions, and a decline in human health [180,181]. Forest fires are not only caused by drought but also by human behavior [182], such as using fire for land clearing [181] and drainage in peatland preparation that makes peatland susceptible to fire [183].
Extreme weather conditions, in particular increasing rainfall intensity, escalate the landslide risk for areas with unstable steep slopes, such as in mountainous regions [127,184]. Landslides are one of the most disastrous natural hazards in terms of fatalities and economic losses [185], particularly in highly populated and developed areas. In 2021, landslides were the third most frequent natural disaster after floods and hurricanes, causing 124 casualties and 5192 refugees [173]. From 2003 to 2008, Indonesia was one of the top three countries with the highest percentage of landslide fatalities [185]. As a result of the changing climate, it was predicted that the damage and loss due to landslide events would significantly increase [128].
Climate change has also triggered other hydrometeorological hazards, such as coastal erosion, inundation, tropical cyclones, and heatwaves. As an archipelagic country with many small islands, Indonesia is highly vulnerable to coastal erosion and inundation [186]. Several studies reported the phenomena of coastal erosion and inundation in Indonesia, which were intensified by an increase in sea level due to global warming [131,187,188,189]. Coastal erosion and inundation cause shoreline change, coastal wetlands and settlements losses, and household displacement, as well as damage to fishponds, agricultural lands, and infrastructure [131,187], negatively affecting the environment and socioeconomic aspects of human life.
Recently, tropical cyclones struck the Indonesia region annually, i.e., there were tropical cyclones in the southeastern Indian Ocean between January and April, and there were tropical cyclones in the eastern Pacific Ocean between May and December [190]. During 1983–2017, 51 tropical cyclone incidents were reported in the southern region of Indonesia [191]. Although tropical cyclones tend to move away from the equator, they can still cause high-intensity rainfall and strong wind, leading to severe storm surges and floods [191,192,193]. There were several notable tropical cyclones reported across Indonesia which caused heavy rainfall and strong wind, including Tropical Cyclone Cempaka in 2017, Tropical Cyclone Mangga in 2020, and Tropical Cyclone Seroja in 2021 [192,193,194].
The phenomena of heatwaves due to rising surface air temperature become more frequent and intense under a changing climate [195,196,197,198]. Due to the urban heat island (UHI) effect, urban areas tend to be more vulnerable to heatwaves [197]. Heatwaves cause adverse effects on human health, increasing mortality and morbidity globally [198,199], particularly in elderly people over 65 years old [198]. In addition, heatwaves, as a specific type of extreme temperature event, negatively affect agriculture, workplace productivity, wildfire frequency and intensity, and public infrastructure [200]. Several studies also reported the increase in marine heatwaves (MHWs) in Indonesia [201]. Indeed, MHWs have significant impacts on marine biodiversity and ecosystems [178,202], such as coral bleaching [203] and the mass mortality of marine invertebrates due to heat stress [204], as well as impacting regional fisheries [205,206].

3.2.3. Climate Change Impacts on Environmental Quality

Landscape-scale soil erosion rates are affected by geology, topography, slope, climate, soil type, and vegetation [207]. The changes in temperature and precipitation due to climate change [208,209] have an impact on plant biomass production, infiltration rate, soil moisture, land use, and crop management, which cause the escalation of surface runoff and soil erosion [210]. The declining quality of rivers, lakes, and drinking water due to eutrophication is also affected by climate change [211], exacerbated by human activities that trigger a high rate of nutrient input of point and non-point sources into the water bodies [212,213]. Eutrophication is considered the most serious water pollution problem in aquatic ecosystems, such as lakes [214,215,216,217].
Pollution that occurs on agricultural land or other water bodies is caused by nutrient leaching and sedimentation processes from the upstream areas, which are accelerated by climate change. Research results from Biswas, et al. [218] suggested that climate change affects the movement and storage of pollutants in the soil, increasing human exposure to soil contaminants. Leached nutrients in the intensive agricultural land may also contaminate groundwater [219]. The major sources of water pollution include human settlements, industries, and agriculture [220]. In addition to water pollution, air pollution due to forest and land fires increases with global warming.

3.3. Threats and Challenges of Climate Change on the Economic Aspect of Watershed Management

Climate change adversely affects all aspects of human life. Changes in water supply and demand pose significant threats to global food security and peace. [221]. It also negatively impacts the agricultural sector, such as in terms of crop productivity and food supply [222,223,224,225,226]. Consequently, climate change causes economic loss and jeopardizes livelihood security [227,228,229].
Numerous studies have been conducted to quantify the economic impact of climate change. Frankhauser and Pearce [230] estimated that each ton of carbon released into the atmosphere costs USD (United States Dollar) 20. Brown [231] estimated that the economic benefit lost from climate change is between USD 0 and USD 300 per ton of carbon. Stern [232] estimated that the damage from climate change is between 1.5% and 2% of gross domestic product (GDP). Due to climate change, direct and indirect economic losses in Indonesia range between 2.5% and 7% of GDP [233]. In addition, as the world′s largest archipelagic country, Indonesia might lose 2000 islands and its coastline, resulting in a loss of USD 11,307 million per year for every 60 cm rise in sea level [234]. Indonesia also faces difficulties transporting food between the cities, and approximately 6000 inhabited islands exacerbate issues with its food delivery system [235].
The Jakarta flood due to the overflow of the Ciliwung River caused an economic loss of IDR 6.7 billion in 2002 [236], IDR 1.5 billion in 2013, IDR 5 billion in 2014, IDR 1.5 billion in 2015, and IDR 960 million in 2020 [237]. Economic loss due to the Solo River flood was IDR 33 billion in 2016 [238], IDR 10.5 billion in 2018 [239], IDR 1.8 billion in 2019 [240], and IDR 22.3 billion in 2021 [241]. Prihantini [242] reported that the total economic losses affected by the flood in Dalpinang District, Madura Island were over IDR 5.8 billion. In Indramayu District, the flood caused an economic loss of about IDR 744 million [243]. From 2014 to 2019, it was estimated that the average economic loss due to flooding in North Aceh Regency was approximately IDR 675.35 billion [244].
In addition, economic losses due to floods and droughts also cause significant economic losses to communities. Nabila [245] reported that the total economic loss for the community due to drought in Gunung Sari Village, Pamijahan District, Bogor Regency exceeded IDR 131 million in 2018. The drought in Ciderum Village, Caringin District, and Bogor Regency resulted in economic losses reaching IDR 118.23 million/year [246]. Nationally, rice fields that experienced drought in 2018 reached 127,101 ha, and harvest failure was 25,405 ha [247]. Moreover, drought has reduced rice productivity in two sub-districts in East Nusa Tenggara, namely Boronubaen Village, and East Taunbaen Village, by 1810 kg/ha/year and 2400 kg/ha/year, respectively [248].
Based on the data above, poor people and developing nations consistently bear the brunt of climate-related calamities [249]. Poverty has several complex effects on access to resources and, thus, triggers vulnerability [250]. In this regard, vulnerability is determined by the economic, institutional, and political capacities of the many groups of people impacted by climate change [251].
Climate change threatens economic losses caused by damage to ecosystems and human activity systems. On the other hand, climate change presents challenges for efficient use of resources with green technology, better resource management, such as forest rehabilitation and restoration activities in watersheds, tree planting for conservation and capturing carbon in watersheds, and soil and water conservation that can maintain land fertility and prevent erosion. These activities can not only mitigate the damage caused by climate change in the watershed, but also generate new economic potential from activities in watershed management and more sustainable development.
Ecosystems in watersheds offer crucial functions that can aid in climate change adaptation. According to Pramova, et al. [252], forests and trees can aid in adaptation in the following ways: (1) by providing goods to local communities facing climatic threats; (2) by regulating water, soil, and microclimate in agricultural fields for more resilient production; (3) by regulating water and protecting soils in forested watersheds to reduce climate impacts; (4) by protecting coastal areas from climatic threats; and (5) by regulating temperature and air quality in urban areas.

3.4. Threats and Challenges of Climate Change on the Sociocultural Aspects of Watershed Management

The impact of climate change on agriculture and fishery productivity results in threats to food security that lead to malnutrition and human health as long-term effects [129,130,131,132]. Malnutrition is a condition of inadequate, excessive, and unbalanced nutritional intake in human physiology [253]. Malnutrition, as a long-term effect of climate change, commonly occurs in the developing world, particularly in countries with low-middle income and tropical climates [254]. The World Food Program (WFP) estimates that malnutrition and famine could increase by approximately 20% by 2050. Thus, global society should cooperate to address this challenge by mitigating and preventing the adverse effects of climate change [255].
The climate change threat to human health is a consequence of food insecurity, decreased air quality, extreme weather, the scarcity of safe drinking water, and infectious diseases [131,133]. According to a World Health Organization (WHO) assessment, between 2030 and 2050, there will be 250,000 additional deaths per year from malnutrition, malaria, diarrhea, and heat stress due to climate change [256]. Moreover, food insecurity following climate change intensifies disease transmission through high temperatures and heavy rain [257]. The risk of water-borne disease outbreaks, such as cholera, will likely be exacerbated during extreme rainstorms, particularly in poor water and drainage management area [258]. Furthermore, other illnesses related to climate change are stress, fatigue, heatstroke, respiratory problems, cardiovascular disease, chronic diseases including cancer, and low birth weight of newborns [84,259,260]. Grace, et al. [261] stated that the decreased precipitation and food insecurity caused by the increase in global temperatures give rise to the number of low birth weight (LBW) infants, with a decrease in weight of 4.3%. Similarly, Hajdu and Hajdu [262] found that the weight of a fetus decreased by 0.46 g as a result of exposure to temperatures of more than 25 °C during the gestation period of pregnancy, and also determined that the number of LBW infants was predicted to increase as a result of climate change by the middle of the 21st century.
Climate change also affects social conflicts, especially conflicts over natural resources, such as a diminishing clean water supply due to long-term drought [134], land tenure, and changes in social interactions within a society [135]. In addition, Fritsche et al. [136] indicated that the impact of climate change on social conflict is that a group of people in a certain area tend to be more sensitive and cautious of other groups that they feel can threaten their lives and disrupt stability within the group. Climate change also causes an escalating number of car accidents during the rainy season, where heavy rains can increase the likelihood of errors while driving [135]. Koubi [137] stated that there is an increasing tendency for conflict to occur as the impact of climate change, particularly in people who live in areas that are very precarious to certain weather, less effective government, and poor access to public services.
Culture is also threatened by climate change. In the past, the Javanese people used Pranotomongso when regulating the planting season but, due to climate change, this is no longer appropriate and must be modified according to existing conditions [263]. The livestock herding culture is no longer being carried out due to the increasing area affected by drought, which threatens the availability of fodder grass in nature [138]. Climate change threats to culture can also occur as a result of a loss of access to places due to climate disasters or adaptation and mitigation efforts [138].
The last factor to consider is climate change′s impact on indigenous people′s existence. Commonly, indigenous people live in forest areas. Thus, they depend on natural resources around them. Ironically, they are the first group of society facing the impact of climate change and the loss of land and resources, as well as violations of human rights, discrimination, unemployment, and marginalization [139]. The International Labor Organization (ILO) reported that many indigenous communities are not involved in the policymaking process, particularly in exploiting natural resources. Hence, they lose their living space and source of livelihood, experience a faded way of life, and eventually migrate to urban areas where they are commonly marginalized and cannot access public health properly [264]. Nevertheless, indigenous peoples have great potential to become change agents in overcoming climate change impacts because they have unique skills and knowledge when it comes to managing natural resources [264].
The complexity of social threats due to climate change is a challenge for the government to overcome. The challenge is very difficult because it involves aspects of human security, such as food and water security, livelihood, and health. Therefore, adaptation and mitigation to climate change must be carried out systematically and integrated by involving stakeholders from the government, private sector, NGOs, and the community [131,265].

4. Improvement Strategy of IWM for Mitigation and Adaptation of Climate

Watershed management is a natural resource management concept that is the most appropriate hydrological unit to assess, predict, and manage water to achieve the objectives of optimizing the quality, quantity, and spatial and temporal distribution. Watershed management includes assessing water resources for the benefit of human welfare and the sustainability of natural resources. The strategy to improve IWM for climate change mitigation and adaptation can holistically be in line with efforts to achieve sustainable development goals. Potential trade-offs between different SDG targets could lead to sub-optimal or even detrimental results. This can be anticipated with a properly designed course of action to consider these interrelationships [266,267]. In this context, IWM is the most relevant approach due to its simultaneous contribution potential to the achievement of several SDGs, especially among other goals, such as #1 (no poverty), #2 (zero hunger), #3 (good health and well-being), #6 (clean water and proper sanitation), #7 (affordable and clean energy), #13 (climate action), and #15 (life on land).
Based on the implementation of IWM in Indonesia as the existing condition, as well as the constraints analysis and the existing challenges, some essential efforts are needed to fill the gaps and improve the current IWM. The improvements of IWM for all elements of the process, consisting of planning, implementation, monitoring, and evaluation, are intended to address real-world challenges of watershed management.

4.1. Planning Stage: Integrated Approaches

Watershed planning is the stage where management options are identified and developed based on evidence-based knowledge coupled with the management objectives of a particular watershed [97]. The evidence-based knowledge needed to support decision-making results from a structured and reliable set of watershed analysis processes. Meanwhile, determining appropriate activities for a particular watershed relies on considering potential future conditions, objectives, legal mandates, and management constraints. There is a trade-off between the cost of doing something versus the quality and quantity of output achieved. The main constraints include political, policy, economic, social or institutional, and technical factors [67]. In fact, planning procedures often do not allow sufficient scope for an interdisciplinary, rather than multidisciplinary, or holistic approach to landscape conditions and potential management options [97]. Hence, in adaptive management, the watershed management plan should be adaptable to dynamic changes in external and internal conditions and should involve the parties transparently, as we formulated in the flow chart in Figure 4.
Facing the global situation which results in increasing watershed vulnerabilities on a national and regional scale, watershed management must take into account the impacts of climate change using technological advances and a holistic and cross-disciplinary approach to ensure that watersheds are able to continue to perform their ecological, social, and economic functions optimally [25]. Thus, the improvement of IWM must be started from the planning stage. Programs to mitigate and adapt to climate change must be arranged and incorporated into watershed rehabilitation or restoration programs.
Building a holistic watershed management system involving orderly and coherent management is very important [268]. Watershed management must start from the “upstream”. In watershed management, the concept of upstream–downstream is not only related to the physical or spatial context but also to the context of the planning system.
In the physical or spatial context, upstream is related to the improvement of the MWM approach. To overcome the obstacle in stakeholders′ collaboration and monitoring, the area of a micro watershed should be ±1000 ha in densely populated regions, such as Java Island, and ±5000 ha in non-densely populated regions, such as Sumatra and Kalimantan [57,80]. A micro watershed allows problems and needs to be adapted to the characteristics of the community effectively and specifically [269,270]. In addition, small-scale watershed management will facilitate community participation, coordination, and collaboration among stakeholders and MONEV [271]. This is also relevant to the upstream context in planning. Upstream in the context of planning is upstream in the context of the basic planning material, that is, in terms of data; the availability of valid data as a basis for planning is a deciding factor [36]. In developing such a system, it is very important to ensure the availability of high-quality data for planning [98,99]. It is crucial to ensure data quality by employing GIS, remote sensing, and technology information, including temporal and spatial resolution, reliability, ownership, and accessibility of data, which will be closely related to the resources that can be utilized effectively [98]. Montgomery et al. [97] emphasized that incorporating scientific input at the front end of the planning process can help avoid crisis management through more effective and complete use of such information in decision-making. In Indonesia, to support the implementation of IWM, the Government established an information system for watershed management, which is part of the national spatial data node in each province, and which can be accessed by related agencies [46].
The next upstream factor in the context of planning concerns actors. Planning must involve as many parties or communities as possible, including upstream, middle, and downstream communities [36]. One of the important effects of the participatory process is its potential use as an instrument for learning, empowering, and articulating the voices of previously marginalized people [272]. A demonstration plot developed collaboratively should be made to show a concrete example of best practice for applying a watershed management model based on a combination of local knowledge and modern science-based knowledge in a scope that can be managed according to shared interests or needs [98]. However, the participatory process must consider the long-term political and environmental implications, jurisdiction, time frame, and suitability of complex scientific procedures [272]. The Government of Indonesia, through Government Regulation No. 37, 2012, formally stipulates that community participation can be carried out individually or through watershed management coordination forums to support the integrated implementation of watershed management [46].
Another “upstream” prerequisite for the watershed management process is to increase literacy and understanding of watersheds, forests, potential disasters, and how to mitigate and adapt them to the community, especially those living in upstream areas as potential “disaster sources,” as well as downstream areas; one way to do this is by incorporating this education into the curriculum of local content in schools in the upstream to urban watershed areas. The development of a culture of environmental awareness, and disaster alertness, must start from an early age [36,273]. Indeed, UNICEF and UNESCO agree that education plays an important role in reducing vulnerability and building resilience to disasters by increasing the knowledge, skills, and attitudes needed to prepare for and cope with disasters and to help accelerate recovery from disaster trauma [274]. In Indonesia, in early 2019, the President of the Republic of Indonesia requested that relevant ministries and institutions increase disaster preparedness, part of which involves incorporating learning about disasters into school education [275]. This was then followed up with communication between the head of the National Disaster Management Agency and the Ministry of Education to hasten the inclusion of disaster-related information into the national education curriculum [276]. In Garut Regency, West Java, the disaster preparedness school curriculum is even implemented from kindergarten to junior high school [277].

4.2. Implementation Stage

4.2.1. Change in Paradigm

The IWM is participatory and collaborative watershed management among regions and stakeholders to harmonize management between upstream and downstream areas [55,57,271]. However, the IWM still faces several challenges, such as weak coordination among sectors and regions, lack of community participation, overlapping regulations, overlapping management areas, and asymmetric information among sectors in watershed management activities [21,56,57,65]. As a result, the watershed condition has not been optimally improved. However, climate change also threatens the sustainability of the watershed. Therefore, improving the IWM in Indonesia for mitigation and adaptation to climate change can be realized through a paradigm change (as depicted in Figure 1), especially by prioritizing coordination, participation, and collaboration [57,81], including ensuring a transparent and accountable implementation process [278], clarity of authority [56], and opening up opportunities for sustainable funding from various sources [279].
The concepts of coordination, participation, and collaboration in watershed management in Indonesia began in the 1980s to 1990s, but these concepts have not been successfully implemented [36]. This is not only because of sectoral egos and a lack of commitment from each stakeholder, but also because of the absence of regulation that rules each stakeholder to implement the IWM plan [96]. Therefore, to integrate the watershed management plan into regional spatial planning, regulations with a strong legal position are needed from the level of laws, government regulations, and regional regulations.
An inappropriate participatory approach will hamper community self-reliance and commitment in carrying out activities, thus, affecting the sustainability of watershed management [280]. Therefore, since the 2000s, the Indonesian government has included community empowerment programs in every program related to watershed management [36]. In empowerment programs, the community is the decision-maker, so the approach is purely bottom-up. This is because, at the implementation stage, the community is the main implementer of watershed management activities to promote community welfare and sustainability [281]. Economic considerations usually influence community decisions more than watershed sustainability [81]. Therefore, a combination of bottom-up and top-down approaches is needed to achieve sustainable watershed management. The bottom-up approach is used in the community decision-making, such as the type of activity, land use, and other resource use, while the top-down approach is used as a guide for decision-making by the community because it contains guidance for appropriate management based on biophysical conditions.
Humans are an inseparable part of watershed management. Human behavior affects watershed conditions and vice versa. In addition, human activities or actions are the main contributors to climate change [100,133]. One of the causes of forest and land rehabilitation failure, as well as mitigation and adaptation efforts to climate change, is the absence of a sociocultural approach [138]. Culture is closely related to consumption, production, and lifestyle patterns that affect the increase in emissions of GHGs, so culture is important to understand the community′s mitigation and adaptation capabilities to climate change [138]. Indonesians have significant local wisdom and culture in natural resource management, which also affects mitigation and the community adaptation capacity to disasters and climate change. Unfortunately, several local pearls of wisdom are currently being neglected [100,101]. Considering the role of sociocultural aspects, utilizing local wisdom and culture in IWM for climate change mitigation and adaptation is necessary.

4.2.2. Technical Aspect Improvement

Soil conservation was studied in the early 2000s in terms of its benefits for boosting crop yields, reducing water pollution, and reducing GHG concentrations in the atmosphere as an impact of the climate change phenomenon [66]. However, improvements in SWC technology in developed countries are based more on the phenomenon of erosion as a danger to food security, agricultural sustainability, and a country′s environment. As a result, proper and stronger soil conservation measures based on an integrated agronomic, economic, social, and political approach are required to counteract soil erosion [25,66]. Existing SWC practices should be improved and developed based on the level of natural resource degradation [79]. A collaborative management pattern preceded by participatory planning is one of the improvements needed to overcome the weak integration of management at the site level. The MWM approach is a practice which facilitates this improvement.
The MWM has some benefits over the prior pattern. The MWM, as the most appropriate planning unit, can help to encourage sustainable development [282]. The source of the problem will be more accurately identified with the MWM, allowing for more targeted implementation strategies to be chosen. The MWM also prioritizes participatory planning as a planning pattern that emphasizes the bottom-up idea. The MWM enables more coordination amongst stakeholders in watershed implementation operations at the site level. The MWM′s planning and management units maximize and rationalize local potential. The impact of management operations will be easier to quantify with a small hydrological unit [81,283,284].
Techniques for improving vegetative land management can be performed by developing agroforestry patterns. It has been empirically tested that the agroforestry pattern is the best land management method in terms of the ecological and economic aspects [106,107]. Agroforestry is categorized as an integrated soil and water conservation measure practice [36]. An agroforestry system with high canopy densities will lead to high infiltration rates and can positively impact the maintenance of hydrological functions [108,109,110,111], increasing soil porosity and soil cover, which can improve retention in the soil profile, thereby reducing moisture stress in low rainfall years [112], reducing surface runoff and erosion [116]. In addition, the agroforestry system plays a key role in climate change mitigation [113,114] and adaptation [114,117,118].
Agroforestry makes a very important contribution to environmental services, including maintaining forest functions in supporting watershed management, reducing GHG concentrations through the absorption of CO2 in the atmosphere and accumulating it in the form of plant biomass, and maintaining biodiversity. Given the magnitude of this role, agroforestry is often used as an example of a “Healthy Agricultural System” [285]. In addition, an agroforestry system contributes to climate change mitigation by significantly increasing carbon stock and reducing net emission rates [115].
Regarding watershed management, upstream–downstream connections are critical in adopting SWC approaches [286,287,288]. A comprehensive water management and disaster reduction program, including overcoming water scarcity in downstream areas, might be a successful implementation method upstream [286,288]. Watershed management in downstream areas, including urban areas, was initially more directed at efforts to mitigate the impacts of disasters, such as floods, flash floods, droughts, and environmental pollution [288]. In terms of IWM, this approach has been abandoned because it is merely curative and does not address the basis of the disaster problem, which is linked to the upstream area. Integrated water resources management (IWRM) is a technique for improving downstream watershed management strategies. Hydrometeorological catastrophe mitigation is performed in an IWRM, commencing upstream and working downstream. The IWRM can also be used to improve climate resilience and adapt to calamities, such as floods and droughts [289].
For example, in dealing with downstream floods, the activity will begin with the deployment of SWC in the upstream watershed to reduce the potential for runoff, which will then become a source of flood water downstream. Meanwhile, in the downstream and urban regions, greater efforts are being made to modify infrastructure to reduce flood water damage, such as by building infiltration wells, retention ponds, and bio-pores. These water conservation buildings are intended to be able to recharge groundwater levels, in addition to lowering surface runoff [290]. Technical integration is also achieved by combining efforts to improve catchment cover through vegetative land rehabilitation activities, with the implementation of technical civil SWC buildings that are quick to respond to climate events [21,36].
Another technological improvement is the modification of traditional processes by modifying specific site conditions. The silt pit technique, used in forest regions to prevent erosion and sedimentation, is one example of these alterations [291,292]. In addition, bio-pore infiltration holes are an appropriate technology to overcome flooding that is very environmentally friendly [293]. Another environmentally friendly drainage system suitable for application in urban areas is infiltration wells [294].
The use of remote sensing (RS) and geographic information system [15] technologies in watershed management is also a solution and an improvement strategy. Many domains benefit from the use of RS and GIS applications, such as identifying areas prone to hydrometeorological disasters [295], identifying degraded land as possible sites for reforestation and restoration initiatives [296], as well as identifying erosion sources for mechanical SWC works [297]. Modeling tools, weather forecasting methodologies, and weather modification technology can all be used to implement an integrated early warning system for hydrometeorological disasters [298].

4.2.3. Socioeconomic Aspect Improvement

Ensuring Livelihood Resilience

Based on the livelihoods of the Indonesian population aged 15 years and over who are working, data from 1986–2022 show that their main livelihood is related to agriculture. By 2022, the livelihood of around 30% of the 135.6 million-strong population in the agricultural sector will depend on nature to a great extent. Although still dominant, this percentage is much lower than the 1986 data, where 52% of the working-age population worked in the agricultural sector [299]. Moreover, more than 50% of farmers have an agricultural land ownership of less than 0.5 ha [300]. From this real condition, improving the management of natural resources in terms of technical, socioeconomic, and institutional aspects must be directed to create resilience agricultural-based livelihoods that are adaptive to climate change.
Climate change adaptation aims to maximize the positive effects of climate change while minimizing the negative effects. Adaptation activities can include infrastructure repair, as well as farming and commodity capacity building [301]. Improvement of IWM in the climate change adaptation activities in Indonesia includes the following: (1) the development and acceleration of farming technology that is more productive and adaptable to climate change; (2) the provision of effective agricultural infrastructure to support the application of climate change adaptive technology; (3) the development of an agricultural climate information network; (4) the development of institutional protection for farmers against the negative impact of extreme weather on farming; and (5) a farming input and output price policy that is conducive to farmers′ income [302]. In their research in Kebumen, Central Java, Sekaranom et al. [163] stated that local farmers had implemented some adaptation measures, primarily crop diversification, crop intensification, and socioeconomic adaptation. The study results show the importance of building climate-resistant infrastructure in the agricultural sector, developing the technical capacity of farmers, and increasing farmers′ knowledge regarding climate change and its implications as an effective adaptation and mitigation effort.

Mainstreaming Local Wisdom and Traditional Knowledge

Traditional knowledge, a distinct culture, norms, beliefs, and value systems, and strong links to surrounding natural resources are considered to be the true characteristics of the indigenous people of Indonesia [303]. Traditional values from different places, times, and communities are still relevant today [304]. Local wisdom is a product of a cultural community formed by values, norms, and rules as a model which guides actions. However, in the last few decades, there have been allegations that the norms and values of indigenous peoples are slowly being eroded due to consumerism and short-term pragmatism culture triggered by sociocultural assimilation [303]. Internalizing ecological values from local wisdom can help develop a good ecological attitude [237].
Climate change adaptation requires collective adaptation, which is a collective action of a community or ecosystem in response to climate change, both reactive and anticipative. The synergy of norms, values, beliefs, and local wisdom can help foster this collective action [237].
In his study in Tanzania, Theodory [305] concluded that the challenge of adapting to climate change is to integrate indigenous and modern knowledge with balanced priorities. The essential measure in adapting to climate change by mainstreaming local wisdom and traditional knowledge, however, is adapting indigenous knowledge to meet current needs and conditions. Agriculture-based activities that enhance farming income while avoiding forest and land degradation must be promoted and supported by implementing formal laws that respect local norms, values, and beliefs [306].
Local wisdom and traditional values related to natural resource management play a role in mitigating and adapting to climate change, including Subak and Kerta Masa in Bali, Sasi in Maluku and East Indonesia, Pranotomongso and Samin in Central Java and West Java (Kampung Naga, Ciptagelar, Baduy), Ruwatan, Selamatan, Merti Kali, Memetri, and Metri Desa in Java, Lubuk Larangan, Rimbo Larangan, and Alam Takambang Jadi Guru in Minangkabau, as well as others. Improvement of traditional values and local wisdom needs to be combined with modern scientific knowledge so that it is more appropriate, effective, and not mystical in order to mitigate and adapt to climate change. The improvement that can incorporate local wisdom and traditional values in the education system starts from basic/early education. This will allow students to internalize the value of local wisdom that is wise, friendly, and ethical when it comes to natural resource management.

Prioritizing Villages as the Spearhead of Sustainable Development

The present Indonesian government, under President Joko Widodo, through Nawacita, emphasized the phrase of developing Indonesia from the periphery by strengthening regions and villages within the framework of a unitary state. Law No. 6 of 2014 concerning villages mandates improving the welfare and quality of life of rural communities by encouraging independent and sustainable village development in line with social, economic, and environmental concerns [307].
The main priority in order to achieve the SDGs is to change strategies and methods that are appropriate and in accordance with social, economic, environmental, cultural, and local wisdom conditions, as well as Indonesia′s geography. The gaps that occur between regions, archipelagic geography, and data that are not integrated require a more rooted approach, one of which is the step initiated by the Ministry of Villages, Development of Disadvantaged Regions and Transmigration (KEMENDES PDTT) through Ministry Regulation (PERMENDES) No. 13 of 2020, which focuses on the use of village funds to achieve village SDGs [308]. This regulation regulates the priority of using village funds in 2021, which leads to the achievement of SDGs. The village SDGs are a derivative of Presidential Regulation No. 59 of 2017 concerning the implementation of sustainable national development goals or the national SDGs. The goal is that the national SDGs be achieved through achieving village SDGs in an integrated manner, tailored to local culture, social, and environmental conditions and resources.
With the focused development based on the village SDGs, it is expected to be able to provide results in the form of village development planning directions based on factual conditions (evidence) in the village, thereby facilitating the intervention of ministries and agencies, regional governments (provincial, regency, and city), and the private sector to support village development [309].
Considering the unique and diverse culture and wisdom of each village in Indonesia, the village SDGs consist of 18 goals, with 1 additional goal compared to the global SDGs, namely the 18th goal, which is related to dynamic village institutions and adaptive village culture. According to the village SDGs′ 18 goals, the government and community will undoubtedly participate actively and collaborate to implement these 18 goals in stages and on time. As a result, a strong community and village government will facilitate the attainment of the SDGs at the national level and establish prosperous, strong, and independent communities [310].
In PERMENDES No. 7 of 2021 concerning priority for the use of village funds in 2022, village development priorities through village funds can be focused on four important points, namely the achievement of the village SDGs, national economic recovery, national priority programs, and mitigation and handling of natural and non-natural disasters [311]. The improvements made are to increase the capacity of the Climate Village Program, or the ProKlim, and village SDGs so that they can mitigate and adapt to climate change in villages or local communities and improve local welfare.

4.2.4. Institutional Aspect

In general, Indonesia′s watershed is cross-border management not only across villages, regencies, or provincial boundaries, but also across national borders [312]. Some of Indonesia’s land areas are directly adjacent to neighboring countries, i.e., Timor Leste (south), Malaysia (north), and Papua New Guinea (east), so there is a transboundary watershed [313]. Thus, it is ensured that the management of watersheds will involve stakeholders from many national institutions, neighboring countries′ institutions, and possibly international institutions. Moreover, it is related to the issue of climate change adaptation and mitigation and, therefore, it is necessary to have good alignment and multi-stakeholder cooperation. Indeed, the sectoral approach makes it complicated and difficult to understand the watershed system as an integrated management unit, and this, therefore, is the challenge in watershed management in Indonesia [65]. The IWM must take a participatory approach involving multiple stakeholders by considering the diversity of biophysical, socioeconomic and cultural, and climate change aspects in Indonesia and neighboring countries [312,314].
The complexity of IWM for sustainable resource use is exacerbated by climate change. Thus, mitigation and adaptation efforts need to be integrated into IWM. Strategic approaches concerning mitigation and adaptation of climate change as an integral part of the country’s NDC should be mainstreamed in the IWM activities.
Participatory, community empowerment, and increasing prosperity programs in the context of IWM and climate change mitigation-adaptation efforts that are carefully practiced and implemented by the village government and local government with the support of the central government, private sectors, and each stakeholder show a better level of success. This can be observed in some areas of watersheds in Indonesia. In the slum area of Tallo Watershed, Macassar, the local government preserves the environment by considering the socioeconomic conditions of the community through strengthening institutional capacity, community participation, and the use of social knowledge based on local wisdom [281]. In the slum area of Maros city, community empowerment was able to control 72.83% of water pollution [315]. Furthermore, empowering women in community-driven development (CDD) programs to contribute to climate resilience in Indonesia, which has been operating in more than 60,000 villages across the country, will also be an entry point for IWM [316].
Participatory watershed management in Indonesia is easy to implement in the micro catchment management promoted by the Ministry of Forestry in 2014 as a community-based watershed management system. The village government will feel that watershed management is mandatory. Therefore, they take the initiative to form a farmer group to carry out environmental conservation activities using village funds. For example, the community in the Naruan micro catchment, upstream of the Bengawan Solo watershed, Indonesia, managed to inhibit 52–58% of gully development by building bamboo as slope stabilization [36]. On the other hand, in the Munding and Gebugan micro catchment, upstream of the Garang watershed, Semarang city, Indonesia, participatory water conservation is carried out by building ponds, and this can reduce the total watershed runoff potential, minimizing potential flooding downstream to 26.5% of what it would be without any intervention [80]. However, managing this micro watershed requires the presence of a watershed management technician in the village, assistance from relevant stakeholders, and funding sources [80]. In general, strengthening the active role of village governments and local governments supported by the central government and stakeholders will be promoted as governance for climate change-adaptive IWM in Indonesia.
Integrated management is also very much needed in transboundary watersheds. However, integrated transboundary watershed management (ITWM) is very complex due to the involvement of two or more countries, which have different characteristics and interests in the management process, from planning to monitoring and evaluation [313]. As part of managing transboundary watersheds, climate change adaptation requires appropriate institutional arrangements, flexible legal frameworks (transboundary agreement), and proper communication to support transboundary cooperation and foster a common understanding. In addition, a joint group of experts should be made available to provide a scientific basis for watershed assessment (problems, priorities, solutions, vulnerabilities, scenarios, and modeling), supported by comprehensive data and information, and decision-makers involvements to ensure the connection to policymaking and to facilitate the transfer of knowledge [87]. Referring to Mekong RB management, Mohammed, et al. [317] suggested that ITWM under a changing climate requires improving current transboundary water governance, strategic planning, financial capacity, information sharing, and law enforcement. They emphasize that water governance needs more stakeholder engagement, comprehensive strategic and adaptive planning, strong transboundary cooperation, adequate financial support for water resource development and management, effective information access and knowledge sharing, and the strengthening of law enforcement and compliance.
The MoEF, as the executing agency for watershed management, has technical implementing units spread throughout Indonesia to function as an integrated watershed management orchestration effort at the levels of government territory. Meanwhile, for the critical point, improvement can be conducted by promoting the role of the village government in watershed management at a micro level. In accordance with Nugroho et al. [36], the village government is the backbone of the implementation of management and development.
Bilateral cooperation between countries at the central government level is commonly conducted for watershed management at an international transboundary level, such as with Timor Leste. Improvements should be promoted to reduce conflicts and achieve the goal of sustainable watershed management. The improvement can be multilateral cooperation for all sub-regional areas.

4.3. Monitoring and Evaluation Stage

4.3.1. Monitoring

Smart management is needed to carry out monitoring activities for watershed management in the future. Smart management is monitoring watershed management, including data collection using information technology to produce better decision-making [318].
Monitoring watershed management in the future should also involve the communities and citizen scientists. The results of ecological, social, and economic monitoring should be presented on an online webGIS [319,320]. Development of an online mapping website or webGIS and supporting web content presents watershed management monitoring information, including land, water, social and economic aspects, as have been conducted by Marshall and Randhir [12] in the Colorado Watershed Planning Tool Box.
Monitoring of watershed management covers many aspects and is carried out by many stakeholders; therefore, it needs a coordinator to handle it. The coordinator collects the monitoring results from each stakeholder and then presents them on a publicly accessible website. According to authority, the coordinator for monitoring watershed management can be appointed by the governor for watersheds in one province or the ministry for inter-provincial watersheds. Each stakeholder can upload the monitoring results on the website. Therefore, the public can find out trends in the results of watershed management. For example, MoPWH can announce water management results in a watershed, including daily discharge data, maximum and minimum discharge, and sedimentation. The BMKG can provide instantaneous and daily rainfall data. Meanwhile, the MoEF can announce the development of the degraded land area in each watershed. The MoA or BPS can announce each watershed′s social and economic conditions. Currently, only the MoPWH has provided online data through the Tech4water (Flood Forecasting and Warning System) website in real-time; however, the data are still in the form of stream water levels, and these still need to be upgraded to discharge data using rating curves for each river.
Parameters for monitoring watershed management need to be simplified. According to Supangat et al. [81], the percentage and distribution of permanent vegetation can be used as a simple indicator. The distribution of permanent vegetation, such as shrub, swamp shrub, secondary mangrove forest, secondary swamp forest, secondary forest, plantation forest, and plantation, particularly in an area with a slope >15%, can give a clearer picture of the success of land rehabilitation because land rehabilitation using vegetation methods to combat soil degradation must be able to control erosion that occurs primarily on the sloping area. In addition, the more permanent the vegetation cover, the more carbon will be stocked in the vegetation.
Regarding hydrology, emphasis should be placed on water quality parameters, water volume, and flow continuity. The MoF Guidelines No. 61, 2014 does not include water quality parameters. Water quality parameters should not be too detailed to determine the current state of river flow quality because of drinking water requirements. Chaves and Alipaz [321] stated that BOD5 could represent water quality. Another water quality parameter is sediment load because Indonesia, with high its rainfall, will produce high sediment from degraded lands. The water use index can represent the quantity parameter, while the flow regime coefficient can represent the continuity parameter. The socioeconomic aspect, which previously consisted of population pressure, the level of population welfare, and the existence and enforcement of rules, should be simplified into one representing socioeconomic conditions, namely the human development index [239]. The HDI data is already available at the Central Bureau of Statistics. Using the HDI parameters will make monitoring and evaluating socioeconomic aspects easier, cheaper, and faster. This parameter was also used by [321].
Watershed management, especially hydrology monitoring, needs improvements to detect and anticipate climate change. Hydrological alterations due to climate change include the increase in air temperature and variations in rainfall which will change the flow of water and cause intensive extreme hydrological events [322]. Teshager, et al. [323], in the evaluation of agricultural and climate change scenarios′ effects on water quantity and quality, as well as crop production, concluded that maize-intensive farming scenarios with higher CO2 emissions consistently produce more water in rivers but cause more water quality problems. On the other hand, planting more switchgrass produces less river water and a better water quality relative to the baseline. To anticipate impacts of climate change, the improvement in IWM, namely MONEV, must be conducted by including monitoring of water yields and water quality.

4.3.2. Evaluation

Evaluation in watershed management is required to observe and assess whether the objectives of the watershed management are being achieved. If the goals are not achieved, they require improvement in the next period. To anticipate climate change impacts, data availability for the evaluation of watershed management is required. The improvement can be undertaken through the provision of baseline data. Before and after the implementation, the monitoring data may become the reference. A lesson learned can be obtained from watershed management in the Himalayas. The assessment results of watershed management in the Himalayas indicate that there has been an improvement in socioeconomic factors, agricultural yields, and the environment. In addition, there has also been an increase in job opportunities, wages, and a reduction in poverty [324]. With the results of the evaluation mentioned above, it can be stated that the objectives of watershed management in the Himalayas have been successful and need to be maintained. The evaluation of the watershed management should be carried out annually so that the results can be used to improve planning for the following year.
Another factor in improving the evaluation of watershed management is the classification of the assessments. Based on several results of the application of the MoF No. 61, 2014, the status or condition of the watershed is included in the moderate criteria, and it is difficult to follow up on the watershed conditions with moderate criteria. Therefore, it is better if the watershed conditions are divided into good criteria (maintained) and bad (restored) by Government Regulation No. 37, 2012.
Dissemination and publication of the results from MONEV may increase public participation in watershed management and can be referenced by stakeholders. The use of the website may extend the dissemination of this information. They can be used as material to revise the RTRW (regional spatial plan) until its derivatives reach the work plans of regional units. In addition, to assess the success of environmentally sound development in a district or province, the results of the evaluation of watershed management can be seen as an indicator of the success of a regional head (district head or governor).

5. Closing Remarks

The IWM approach has been globally applied to manage natural resources. In Indonesia, the IWM has also been used to manage natural resources with the main activities related to SWC to preserve and ensure water availability, land productivity, social welfare, and economics. Owing to the benefit of using the IWM approach for combating climate change, the Government of Indonesia has emphasized using IWM as one of the key programs to achieve the NDC targets. Mitigation and adaptation of climate change as an integral part of the country’s NDC should be incorporated into the IWM activities. Climate change has emerged as an important issue that necessitates adaptation in rules and policies governing IWM. As a result, new paradigms and innovations are required to improve the IWM approach in numerous aspects, including biophysics, economics, and sociocultural factors.
The improvement of the IWM approach must be carried out holistically, covering all iterative steps of watershed management, i.e., planning, implementation, and MONEV. In addition, the improved IWM approach encompasses the interlink between restoring degraded watersheds and mitigating climate change impacts. In this case, improving the IWM for mitigation and adaptation to climate change needs a change in paradigm by prioritizing coordination, participation, and collaboration in all management processes. This is essential to ensure all parties are involved and responsible in every step of the IWM process. Prioritization in coordination, participation, and collaboration is implemented at the local or national government level and the international level. This becomes a high priority since numerous problems exist in transboundary watershed management.
Integration of the watershed management plan into regional spatial planning is still facing obstacles. Hence, improvement of IWM through a strong legal position is needed from the level of laws, government regulations, and regional regulations. All of these instruments must explicitly integrate management to restore degraded watersheds and mitigate and adapt to climate change impacts.
Various barriers are still faced in applying the IWM for managing natural resources and mitigating and adapting to climate change. For example, the lack of coordination between the institutions responsible for watershed management and those responsible for mitigation and adaptation of climate change impacts at the local level. In this regard, the IWM improvement can be performed by strengthening the synergy between these institutions in handling the problems of watershed degradation and the impact of climate change simultaneously within a project.
Improvement of IWM implementation using a micro watershed approach provides some benefits, mainly its ability to identify existing problems and plan a strategy to solve the problems. In this small unit, exploring the local potential, participation, and coordination among stakeholders is easier to conduct. Using a micro watershed, the impact of the treatments can be easily monitored and quantified.
The agroforestry system is the technical improvement of IWM in mitigating and adapting to climate change impacts. It can fulfill the requirements for ecological and economic sustainability. The agroforestry system maintains and improves the hydrological functions, reduces CO2 emissions through carbon accumulation in vegetation, litter, and soil, and increases community income through cash crops, fisheries, and livestock. Improvement of the implementation of IWM can be carried out through the modification of traditional processes by modifying specific site conditions, including biophysical and socioeconomic conditions.
Adaptation of climate change impact linked to the IWM must involve the governments at all levels. Therefore, funding sources and the active roles of the related stakeholders are needed. Strengthening the active role of the village and local governments supported by the central government and other stakeholders can be considered as governance for climate change-adaptive IWM in Indonesia. This is also considered one of the IWM improvements that should be promoted. To reach a meeting point between community needs and government plans, IWM improvement can be achieved by a combination of bottom-up and top-down approaches. The bottom-up approach can accommodate the aspirations of the local communities, while the top-down approach can serve as guidance for government programs.
Incorporation of culture, local wisdom, and local knowledge that exist in communities into IWM is also an improvement of IWM. These elements are believed to facilitate the conservation of natural resources and, at the same time, mitigate climate change impacts in watersheds. Meanwhile, adaptation measures can be carried out primarily through crop diversification, crop intensification, and socioeconomic adaptation. Monitoring and evaluation of watershed management related to mitigation and adaptation of climate change must pay attention to the climate parameters. In this regard, improvement in MONEV is achieved by including water quantity and quality. Lastly, the improvement of the IWM should consider the application of the appropriate technologies. Geographic information systems, remote sensing, and website applications are needed in all management stages. A publicly accessible website may be used to inform communities related to activities, progress, and achievement of the IWM from every stakeholder involved.

Author Contributions

T.M.B., H.Y.S.H.N., Y.I., I.B.P., N.P.N., A.B.S., D.R.I., E.S., N.W., P., S.A.C., P.B.P., R.N.A., A.W.N., D.A., A.W., H.D.R., B.H., C.Y., L.H., F.M.H.N. and D.P.S. had an equal role as the main contributors in discussing the concept of each chapter, writing the manuscript, providing feedback, and revising the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. UNFCCC. The Paris Agreement. Available online: https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (accessed on 8 February 2022).
  2. Government of Indonesia. Indonesia First Biennial Update Report (BUR); Government of Indonesia: Jakarta, Indonesia, 2015.
  3. Government of Indonesia. Updated Nationally Determined Contribution Republic of Indonesia; Directorate General of Climate Change, Ministry of Environment and Forestry: Jakarta, Indonesia, 2021.
  4. Imelda, H.; Tumiwa, F. INDC Indonesia: Sebuah Langkah Yang Maju Membutuhkan Sejumlah Perbaikan; Institute for Essesntial Services Reform: Jakarta, Indonesia, 2015. [Google Scholar]
  5. Maizland, L. Global Climate Agreements: Successes and Failures. Available online: https://www.cfr.org/backgrounder/paris-global-climate-change-agreements (accessed on 8 February 2022).
  6. MoEF. The State of Indonesia’s Forests 2020; Ministry of Environment and Forestry: Jakarta, Indonesia, 2021.
  7. Ministry of Environment and Forestry. Rencana Operasional Indonesia’s FOLU Net Sink 2030 (Keputusan Menteri Lingkungan Hidup dan Kehutanan); Ministry of Environment and Forestry: Jakarta, Indonesia, 2022.
  8. Marx, A.; Kumar, R.; Thober, S.; Rakovec, O.; Wanders, N.; Zink, M.; Wood, E.F.; Pan, M.; Sheffield, J.; Samaniego, L. Climate change alters low flows in Europe under global warming of 1.5, 2, and 3 °C. Hydrol. Earth Syst. Sci. 2018, 22, 1017–1032. [Google Scholar] [CrossRef]
  9. Giupponi, C.; Gain, A.K. Integrated water resources management (IWRM) for climate change adaptation. Reg. Environ. Change 2017, 17, 1865–1867. [Google Scholar] [CrossRef]
  10. Qiu, J.; Shen, Z.; Leng, G.; Xie, H.; Hou, X.; Wei, G. Impacts of climate change on watershed systems and potential adaptation through BMPs in a drinking water source area. J. Hydrol. 2019, 573, 123–135. [Google Scholar] [CrossRef]
  11. Dudula, J.; Randhir, T.O. Modeling the influence of climate change on watershed systems: Adaptation through targeted practices. J. Hydrol. 2016, 541, 703–713. [Google Scholar] [CrossRef]
  12. Marshall, E.; Randhir, T. Effect of climate change on watershed system: A regional analysis. Clim. Change 2008, 89, 263–280. [Google Scholar] [CrossRef]
  13. Kim, Y.; Chung, E.-S. An index-based robust decision making framework for watershed management in a changing climate. Sci. Total Environ. 2014, 473–474, 88–102. [Google Scholar] [CrossRef] [PubMed]
  14. Aryal, J.P.; Sapkota, T.B.; Khurana, R.; Khatri-Chhetri, A.; Rahut, D.B.; Jat, M.L. Climate change and agriculture in South Asia: Adaptation options in smallholder production systems. Environ. Dev. Sustain. 2020, 22, 5045–5075. [Google Scholar] [CrossRef]
  15. Poortinga, W.; Whitmarsh, L.; Steg, L.; Böhm, G.; Fisher, S. Climate change perceptions and their individual-level determinants: A cross-European analysis. Glob. Environ. Change 2019, 55, 25–35. [Google Scholar] [CrossRef]
  16. Mekonnen, M.; Abeje, T.; Addisu, S. Integrated watershed management on soil quality, crop productivity and climate change adaptation, dry highland of Northeast Ethiopia. Agric. Syst. 2021, 186, 102964. [Google Scholar] [CrossRef]
  17. Singh, C.; Bazaz, A.; Ley, D.; Ford, J.; Revi, A. Assessing the feasibility of climate change adaptation options in the water sector: Examples from rural and urban landscapes. Water Secur. 2020, 11, 100071. [Google Scholar] [CrossRef]
  18. Kolokytha, E. Adaptation: A Vital Priority for Sustainable Water Resources Management. Water 2022, 14, 531. [Google Scholar] [CrossRef]
  19. Enríquez-de-Salamanca, Á. Vulnerability reduction and adaptation to climate change through watershed management in St. Vincent and the Grenadines. GeoJournal 2019, 84, 1107–1119. [Google Scholar] [CrossRef]
  20. Rahman, M.S.; Toiba, H.; Huang, W.-C. The Impact of Climate Change Adaptation Strategies on Income and Food Security: Empirical Evidence from Small-Scale Fishers in Indonesia. Sustainability 2021, 13, 7905. [Google Scholar] [CrossRef]
  21. Narendra, B.H.; Siregar, C.A.; Dharmawan, I.W.S.; Sukmana, A.; Pratiwi; Pramono, I.B.; Basuki, T.M.; Nugroho, H.Y.S.H.; Supangat, A.B.; Purwanto; et al. A review on sustainability of watershed management in Indonesia. Sustainability 2021, 13, 11125. [Google Scholar] [CrossRef]
  22. Babel, M.S.; Shinde, V.R.; Sharma, D.; Dang, N.M. Measuring water security: A vital step for climate change adaptation. Environ. Res. 2020, 185, 109400. [Google Scholar] [CrossRef]
  23. Hejazi, M.I.; Edmonds, J.; Clarke, L.; Kyle, P.; Davies, E.; Chaturvedi, V.; Wise, M.; Patel, P.; Eom, J.; Calvin, K. Integrated assessment of global water scarcity over the 21st century under multiple climate change mitigation policies. Hydrol. Earth Syst. Sci. 2014, 18, 2859–2883. [Google Scholar] [CrossRef]
  24. Tripathi, K.P.; Sharda, V.N. Mitigation of impact of climate change through watershed management. J. Agric. Engeenering 2011, 48, 38–44. [Google Scholar]
  25. Wang, G.; Mang, S.; Cai, H.; Liu, S.; Zhang, Z.; Wang, L.; Innes, J.L. Integrated watershed management: Evolution, development and emerging trends. J. For. Res. 2016, 27, 967–994. [Google Scholar] [CrossRef]
  26. Ministry of Environment and Forestry. Roadmap Nationally Determined Contribution (NDC)—Climate Change Adaptation; Ministry of Environment and Forestry (MoEF), Republic of Indonesia: Jakarta, Indonesia, 2020; p. 168.
  27. Ministry of Environment and Forestry. Roadmap Nationally Determined Contribution (NDC)—Climate Change Mitigation; Ministry of Environment and Forestry (MoEF), Republic of Indonesia: Jakarta, Indonesia, 2019; p. 310.
  28. Ministry of Environment and Forestry. Laporan Inventarisasi Gas Rumah Kaca (GRK) dan Monitoring, Pelaporan, Verifikasi (MPV) 2018; Directorate General of Climate Change Control, Ministry of Environment and Forestry: Jakarta, Indonesia, 2019; p. 145.
  29. Ministry of Environment and Forestry. Laporan Inventarisasi Gas Rumah Kaca (GRK) dan Monitoring, Pelaporan, Verifikasi (MPV) 2019; Directorate General of Climate Change Control, Ministry of Environment and Forestry: Jakarta, Indonesia, 2020; p. 142.
  30. Ministry of Environment and Forestry. Laporan Inventarisasi Gas Rumah Kaca (GRK) dan Monitoring, Pelaporan, Verifikasi (MPV) 2020; Directorate General of Climate Change Control, Ministry of Environment and Forestry: Jakarta, Indonesia, 2021; p. 167.
  31. Government of Indonesia. Law Number 6, 1996 Concerning Indonesian Waters; Government of Indonesia: Jakarta, Indonesia, 1996.
  32. CCAFS. A Watershed Approach to Building Climate Resilience in Nepal’s Mountain Eco-Regions; CGIAR-CCAFS: Wageningen, The Netherlands, 2012. [Google Scholar]
  33. Joosten, K.; Grey, S. Integrating Climate Change Adaptation and Mitigation into the Watershed Management Approach in Eastern Africa —Discussion Paper and Good Practices; FAO, United Nations: Addis Ababa, Ethiopia, 2017. [Google Scholar]
  34. Bastola, S.; Murphy, C.; Sweeney, J. The role of hydrological modelling uncertainties in climate change impact assessments of Irish river catchments. Adv. Water Resour. 2011, 34, 562–576. [Google Scholar] [CrossRef]
  35. Director of Land Rehabilitation and Social Forestry (Ed.) Regulation of the Director of Land Rehabilitation and Social Forestry No. P.15/V-SET/2009; Ministry of Forestry: Jakarta, Indonesia, 2009.
  36. Nugroho, H.Y.; Basuki, T.M.; Pramono, I.B.; Savitri, E.; Purwanto; Indrawati, D.R.; Wahyuningrum, N.; Adi, R.N.; Indrajaya, Y.; Supangat, A.B.; et al. Forty Years of Soil and Water Conservation Policy, Implementation, Research and Development in Indonesia: A Review. Sustainability 2022, 14, 2972. [Google Scholar] [CrossRef]
  37. Indrajaya, Y.; Yuwati, T.W.; Lestari, S.; Winarno, B.; Narendra, B.H.; Nugroho, H.Y.; Rachmanadi, D.; Pratiwi; Turjaman, M.; Adi, R.N.; et al. Tropical Forest Landscape Restoration in Indonesia: A Review. Land 2022, 11, 328. [Google Scholar] [CrossRef]
  38. Vose, J.M.; Ford, C.R.; Laseter, S.; Dymond, S.; Sun, G.E.; Adams, M.B.; Sebestyen, S.; Campbell, J.; Luce, C.; Amatya, D.; et al. Can forest watershed management mitigate climate change impacts on water resources? In Proceedings of the Workshop Held during the XXV International Union of Geodesy and Geophysics, Melbourne, Australia, 27 June–8 July 2011. [Google Scholar]
  39. Baumeister, R.F.; Leary, M.R. Writing narrative literature reviews. Rev. Gen. Psychol. 1997, 1, 311–320. [Google Scholar] [CrossRef]
  40. Government of Indonesia. Law Number 7 of 2004 Concerning Water Resources; Government of Indonesia: Jakarta, Indonesia, 2004.
  41. Government of Indonesia. Law Number 17 of 2019 about Water Resources; Government of Indonesia: Jakarta, Indonesia, 2019.
  42. Government of Indonesia. Constitution of the Republic of Indonesia of 1945; Government of Indonesia: Jakarta, Indonesia, 1945.
  43. Government of Indonesia. Law Number 22, 1999 Concerning Regional Government; Government of Indonesia: Jakarta, Indonesia, 1999.
  44. Government of Indonesia. Law Number 23, 2014 Concerning Regional Government; Government of Indonesia: Jakarta, Indonesia, 2014.
  45. Government of Indonesia. Law Number 41, 1999 Concerning Forestry; Government of Indonesia: Jakarta, Indonesia, 1999.
  46. Government of Indonesia. Law Number 37, 2012 Concerning Watershed Management; Government of Indonesia: Jakarta, Indonesia, 2012.
  47. Ministry of Forestry (Ed.) Ministry of Forestry Regulation No. P.60/Menhut-II/2013 Regarding Procedures for Preparation and Determination of Watershed Management Plans; Ministry of Forestry: Jakarta, Indonesia, 2013.
  48. Ministry of Forestry (Ed.) Regulation No. P. 61/Menhut-II/2014 Concerning Watershed Management Monitoring and Evaluation; Ministry of Forestry: Jakarta, Indonesia, 2014.
  49. Government of Indonesia. Law Number 37 of 2014 concerning Soil and Water Conservation; Government of Indonesia: Jakarta, Indonesia, 2014.
  50. Government of Indonesia. Law Number 5, 1960 Concerning Basic Agrarian; Government of Indonesia: Jakarta, Indonesia, 1960.
  51. Cahyono, S.A. Kelembagaan pengelolaan daerah aliran sungai pada pulau-pulau kecil: Kasus Pulau Batam, Bintan, Moyo dan Rote. In Rampai Pengelolaan Sumber Daya Air Lestari; Gintings, N., Pratiwi, Eds.; IPB Press: Bogor, Indonesia, 2019. [Google Scholar]
  52. Irawan, E.; Dharmawan, I.W.S. Diskoneksitas regulasi pengelolaan daerah aliran sungai di Indonesia. In Proceedings of the Seminar Asional Restorasi DAS: Mencari Keterpaduan Di Tengah Isu Perubahan Iklim, Surakarta, Indonesia, 25 August 2015. [Google Scholar]
  53. Lastiantoro, C.Y.; Cahyono, S.A. Analisis Peran Para Pihak Dalam pengelolaan Daerah Aliran Sungai Bengawan Solo Hulu. J. Anal. Kebijak. Kehutan. 2015, 12, 203–2012. [Google Scholar] [CrossRef]
  54. Watson, N.; Shrubsole, D.; Mitchell, B. Governance Arrangements for Integrated Water Resources Management in Ontario, Canada, and Oregon, USA: Evolution and Lessons. Water 2019, 11, 663. [Google Scholar] [CrossRef]
  55. Pambudi, A. Watershed Management in Indonesia: A Regulation, Institution, and Policy Review. J. Perenc. Pembang. Indones. J. Dev. Plan. 2019, 3, 185–202. [Google Scholar] [CrossRef]
  56. Sulistyaningsih, T.; Nurmandi, A.; Salahudin, S.; Roziqin, A.; Kamil, M.; Sihidi, I.T.; Romadhan, A.A.; Loilatu, M.J. Public policy analysis on watershed governance in Indonesia. Sustainability 2021, 13, 6615. [Google Scholar] [CrossRef]
  57. Supangat, A.B.; Agus, C.; Wahyuningrum, N.; Indrawati, D.R.; Purwanto. Soil and water conservation planning toward sustainable management of upstream watershed in Indonesia. World Sustain. Ser. 2021, 77–91. [Google Scholar] [CrossRef]
  58. Putra, P.B.; Agus, C.; Adi, R.N.; Susanti, P.D.; Indrajaya, Y. Land Use Change in Tropical Watersheds: Will It Support Natural Resources Sustainability? In Sustainability in Natural Resources Management and Land Planning; Leal Filho, W., Azeiteiro, U.M., Setti, A.F.F., Eds.; Springer International Publishing: Cham, Switzerland, 2021; pp. 63–75. [Google Scholar] [CrossRef]
  59. Suryawan, E. Pengaturan Pengelolaan Daerah Aliran Sungai Terpadu dalam Pelaksanaan Otonomi Daerah di Kawasan Jawa Tengah; Universitas Gadjah Mada: Yogyakarta, Indonesia, 2007. [Google Scholar]
  60. Raharjo, S.A.S.; Purwanto, P.; Haryanti, N. Pengelolaan Daerah Aliran Sungai Bribin Pasca Implementasi Uu Nomer 23 Tahun 2014 Tentang Pemerintahan Daerah. J. Penelit. Ekosist. Dipterokarpa 2020, 6, 33–40. [Google Scholar] [CrossRef]
  61. Harmiati; Aprianty, H.; Triyanto, D.; Alexsander. Implementasi good enviromental governance dalam pengelolaan Daerah Aliran Sungai (DAS) Bengkulu. J. Ilmu Pemerintah. Kaji. Ilmu Pemerintah. Dan Polit. Drh. 2018, 3, 136–148. [Google Scholar] [CrossRef]
  62. Arief, A. Watershed Management in Indonesia: Behavior and Strategic Interaction Between Upstream and Downstream (Case Study: Ciliwung Watershed); Institut Teknologi Bandung & University of Groningen: Bandung, Indonesia, 2010. [Google Scholar]
  63. McCulloch, J.S.G.; Robinson, M. History of forest hydrology. J. Hydrol. 1993, 150, 189–216. [Google Scholar] [CrossRef]
  64. Neary, D.G.; Ice, G.G.; Jackson, C.R. Linkages between forest soils and water quality and quantity. For. Ecol. Manag. 2009, 258, 2269–2281. [Google Scholar] [CrossRef]
  65. Waskitho, N.; Pratama, A.; Muttaqin, T. Sectoral Integration in Watershed Management in Indonesia: Challenges and Recomendation. IOP Conf. Ser. Earth Environ. Sci. 2021, 752, 012035. [Google Scholar] [CrossRef]
  66. Blanco, H.; Lal, R. Principles of Soil Conservation and Management; Springer: Dordrecht, The Netherlands, 2008; p. 617. [Google Scholar]
  67. Gregersen, H.; Ffolliott, P.F.; Brooks, K.N. Integrated Watershed Management: Connecting People to Their Land and Water; CABI: Cambridge, UK, 2007; pp. 1–201. [Google Scholar]
  68. Asdak, C. Hidrologi dan Pengelolaan Daerah Aliran Sungai, 6th ed.; Gajah Mada University Press: Yogyakarta, Indonesia, 2014; p. 615. [Google Scholar]
  69. Nepal, S.; Neupane, N.; Shrestha, H.; Tharu, B.R. Upstream-Downstream Linkages Catchment Level Water Use Master Plans (WUMP) in the Mid-hills of Nepal; International Centre for Integrated Mountain Development (ICIMOD): Kathmandu, Nepal, 2017. [Google Scholar]
  70. Ekawati, S. Kelembagaan Pengelolaan DAS Lokal (Sebagai Wacana Dalam Pengelolaan Sub DAS Cicatih). Available online: https://kelembagaandas.wordpress.com/kelembagaan-pengelolaan-das/sulistya-ekawati/ (accessed on 21 June 2022).
  71. Amaruzaman, S.; Rahadian, N.; Leimona, B. Role of intermediaries in the Payment for Environmental Services scheme: Lessons learnt in the Cidanau watershed, Indonesia. In Co-Investment in Ecosystem Services: Global Lessons from Payment and Incentive Schemes; World Agroforestry Centre (ICRAF): Nairobi, Kenya, 2017. [Google Scholar]
  72. McGrath, F.L.; Leimona, B.; Amaruzaman, S.; Rahadian, N.P.; Carrasco, L.R. Identifying payments for ecosystem services participants through social or spatial targeting? Exploring the outcomes of group level contracts. Conserv. Sci. Pract. 2019, 1, e49. [Google Scholar] [CrossRef]
  73. Suprayogo, D.; Prayogo, C.; Saputra, D.D.; Sari, R.R.; Nugraha, A.; Hadiwijoyo, E.; Andhika, Y.; Ishaq, R.M.; Purnamasari, E.; Irawan, D.B. The capacity of community on running soil and water conservation in Bangsri micro-catchment, Upper Brantas Watershed, Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2019, 393, 012054. [Google Scholar] [CrossRef]
  74. Aprisal; Istijono, B.; Juniarti; Harianti, M. The study of soil water infiltration under horticultural at the upstream of Sumani Watershed. Int. J. GEOMATE 2019, 17, 147–152. [Google Scholar] [CrossRef]
  75. Achouri, M. Preparing the Next Generation of Watershed Management Programmes (Chapter 1). In Proceedings of the Asian Regional Workshop, Kathmandu, Nepal, 11–13 September 2003; Achouri, M., Ed.; Food and Agriculture Organization of the United Nations: Rome, Italy, 2003. [Google Scholar]
  76. Molla, T.; Sisheber, B. Estimating soil erosion risk and evaluating erosion control measures for soil conservation planning at Koga watershed in the highlands of Ethiopia. Solid Earth 2017, 8, 13–25. [Google Scholar] [CrossRef]
  77. Sanders, D.W. Sloping Land: Soil Erosion Problems and Soil Conservation Requirements; ILRI: Nairobi, Kenya, 1986. [Google Scholar]
  78. Zapata, F.; Zaman, M.; Nguyen, M.L.; Heng, L.K.; Sakadevan, K.; Dercon, G.; Mabit, L. Innovations in Soil and Water Management/Conservation Research through Integrated Approaches of Nuclear and Isotopic Techniques and Precision Agriculture; CRC Press: Boca Raton, FL, USA, 2015; Volume 12980, pp. 247–282. [Google Scholar]
  79. Kumawat, A.; Yadav, D.; Samadharmam, K.; Rashmi, I. Soil and Water Conservation Measures for Agricultural Sustainability; IntechOpen: London, UK, 2020; pp. 1–22. [Google Scholar]
  80. Sriyana, I.; De Gijt, J.G.; Parahyangsari, S.K.; Niyomukiza, J.B. Watershed management index based on the village watershed model (VWM) approach towards sustainability. Int. Soil Water Conserv. Res. 2020, 8, 35–46. [Google Scholar] [CrossRef]
  81. Supangat, A.B.; Indrawati, D.R.; Wahyuningrum, N.; Purwanto; Donie, S. Membangun proses perencanaan pengelolaan daerah aliran sungai mikro secara partisipatif: Sebuah pembelajaran (Developing a participatory planning process of micro-watershed management: A lesson learned). J. Penelit. Dan Pengelolaan Drh. Aliran Sungai 2020, 4, 17–36. [Google Scholar] [CrossRef]
  82. Basuki, T.M. Indikator dan parameter kriteria lahan untuk monitoring dan evaluasi kinerja sub-das. J. Penelit. Hutan Dan Konserv. Alam 2014, 11, 281–297. [Google Scholar] [CrossRef]
  83. Anwar, S. Watershed Management in Indonesia. In Proceedings of the Preparing for the Next Generation of Watershed Management Programmes and Projects—Asia, Kathmandu, Nepal, 11–13 September 2003. [Google Scholar]
  84. Ansah, E.W.; Ankomah-Appiah, E.; Amoadu, M.; Sarfo, J.O. Climate change, health and safety of workers in developing economies: A scoping review. J. Clim. Change Health 2021, 3, 100034. [Google Scholar] [CrossRef]
  85. Boden, T.; Marland, G.; Andres, R.J. Global, Regional, and National Fossil-Fuel CO2 Emissions (1751–2014) (V. 2017). Available online: https://data.ess-dive.lbl.gov/portals/%20CDIAC/FossilFuel-Emissions/CDIAC/FossilFuel-Emissions (accessed on 27 June 2022).
  86. Albar, I.; Emilda, A.; Tray, C.S.; Sugiatmo; Aminah; Haska, H. Road Map Program Kampung Iklim (ProKlim). Direktorat Adaptasi Perubahan Iklim, Direktorat Jenderal Pengendalian Perubahan Iklim; Kementerian Lingkungan Hidup dan Kehutanan: Jakarta, Indonesia, 2017; p. 49.
  87. United Nations. Water and Climate Change Adaptation in Transboundary Basins: Lessons Learned and Good Practices; United Nations Economic Commission for Europe and International Network of Basin Organizations: Geneva, Switzerland, 2015; p. 128. [Google Scholar]
  88. Jentsch, A.; Beierkuhnlein, C. Research frontiers in climate change: Effects of extreme meteorological events on ecosystems. Comptes Rendus—Geosci. 2008, 340, 621–628. [Google Scholar] [CrossRef]
  89. Intergovernmental Panel on Climate Change (IPCC). Summary for Policymakers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M.I., et al., Eds.; Intergovernmental Panel on Climate Change (IPCC): Geneva, Switzerland, 2021; p. 40. [Google Scholar]
  90. Government of Indonesia. Law Number 6 of 1994 Concerning Ratification of the United Nations Framework Convention on Climate Change; Government of Indonesia: Jakarta, Indonesia, 1994.
  91. Government of Indonesia. Law Number 17 of 2004 Concerning Ratification of the Kyoto Protocol to the United Nations Framework Convention on Climate Change; Government of Indonesia: Jakarta, Indonesia, 2004.
  92. Government of Indonesia. National Action Plan Addressing Climate Change; State Ministry of Environment and Forestry: Jakarta, Indonesia, 2007; p. 107.
  93. Alisjahbana, A.S.; Busch, J.M. Forestry, Forest Fires, and Climate Change in Indonesia. Bull. Indones. Econ. Stud. 2017, 53, 111–136. [Google Scholar] [CrossRef]
  94. Ministry of Environment and Forestry (Ed.) Ministry of Environment and Forestry Regulation Number P.84/Menlhk-Setjen/Kum.1/11/2016 on Climate Village Program (PROKLIM); Ministry of Environment and Forestry: Jakarta, Indonesia, 2016.
  95. Ministry of Environment and Forestry (Ed.) Ministry of Environment and Forestry Decree Number SK.679/MENLHK/SETJEN/KUM.1/12/2017 on Monitoring the Implementation of Nationally Determined Contribution; Ministry of Environment and Forestry: Jakarta, Indonesia, 2017.
  96. Aldrian, E. Sistem Peringatan Dini Menghadapi Iklim Ekstrem. J. Sumberd. Lahan 2016, 10, 79–90. [Google Scholar]
  97. Montgomery, D.R.; Grant, G.E.; Sullivan, K. Watershed Analysis as a Framework for Implementing Ecosystem Management. J. Am. Water Resour. Assoc. 1995, 31, 369–386. [Google Scholar] [CrossRef]
  98. Council of The Great Lakes Region. Water Management and Big Data Analytics: Examination of Opportunities and Approaches to Leverage Data Science, Analytics and AI to Support Watershed Planning and the Health of our Great Lakes’ Ecosystem; Council of the Great Lakes Region: Ontario, Canada, 2019. [Google Scholar]
  99. Schafer, D.; Hanlon, G. Data Collection for Watershed Management. In Proceedings of the World Water and Environmental Resources Congress 2001, Orlando, FL, USA, 20–24 May 2001; pp. 1–11. [Google Scholar] [CrossRef]
  100. Thomas, K.; Hardy, R.D.; Lazrus, H.; Mendez, M.; Orlove, B.; Rivera-Collazo, I.; Roberts, J.T.; Rockman, M.; Warner, B.P.; Winthrop, R. Explaining differential vulnerability to climate change: A social science review. Wiley Interdiscip. Rev. Clim. Change 2019, 10, e565. [Google Scholar] [CrossRef] [PubMed]
  101. Maridi. Mengangkat budaya dan kearifan lokal dalam sistem konservasi Tanah dan Air. In Proceedings of Biology Education Conference: Biology, Science, Enviromental, and Learning: Surakarta, Indonesia. pp. 20–39. Available online: https://jurnal.uns.ac.id/prosbi/article/view/6672 (accessed on 20 April 2022).
  102. Savedoff, W. How the Green Climate Fund Could Promote REDD+ through a Cash on Delivery Instrument: Issues and Options; CGD Policy Paper; Center for Global Development: Washington, DC, USA, 2016; p. 72. [Google Scholar]
  103. Smith, J.B.; Dickinson, T.; Donahue, J.D.B.; Burton, I.; Haites, E.; Klein, R.J.T.; Patwardhan, A. Development and climate change adaptation funding: Coordination and integration. Clim. Policy 2011, 11, 987–1000. [Google Scholar] [CrossRef]
  104. Bhandary, R.R. National climate funds: A new dataset on national financing vehicles for climate change. Clim. Policy 2022, 22, 401–410. [Google Scholar] [CrossRef]
  105. Directorate of Climate Change Adaptation. SIDIK: Sistem Informasi Data Indeks Kerentanan. Directorate of Climate Change Adaptation; Directorate General of Climate Change Control, Ministry of Environment and Forestry: Jakarta, Indonesia, 2015.
  106. Dollinger, J.; Jose, S. Agroforestry for soil health. Agrofor. Syst. 2018, 92, 213–219. [Google Scholar] [CrossRef]
  107. Jose, S. Agroforestry for ecosystem services and environmental benefits: An overview. Agrofor. Syst. 2009, 76, 1–10. [Google Scholar] [CrossRef]
  108. Coble, A.P.; Contosta, A.R.; Smith, R.G.; Siegert, N.W.; Vadeboncoeur, M.; Jennings, K.A.; Stewart, A.J.; Asbjornsen, H. Influence of forest-to-silvopasture conversion and drought on components of evapotranspiration. Agric. Ecosyst. Environ. 2020, 295, 106916. [Google Scholar] [CrossRef]
  109. Klos, P.Z.; Chain-Guadarrama, A.; Link, T.E.; Finegan, B.; Vierling, L.A.; Chazdon, R. Throughfall heterogeneity in tropical forested landscapes as a focal mechanism for deep percolation. J. Hydrol. 2014, 519, 2180–2188. [Google Scholar] [CrossRef]
  110. Marin, C.T.; Bouten, W.; Sevink, J. Gross rainfall and its partitioning into throughfall, stemflow and evaporation of intercepted water in four forest ecosystems in western Amazonia. J. Hydrol. 2000, 237, 40–57. [Google Scholar] [CrossRef]
  111. Suprayogo, D.; van Noordwijk, M.; Hairiah, K.; Meilasari, N.; Rabbani, A.L.; Ishaq, R.M.; Widianto, W. Infiltration-friendly agroforestry land uses on volcanic slopes in the Rejoso Watershed, East Java, Indonesia. Land 2020, 9, 240. [Google Scholar] [CrossRef]
  112. Jose, S.; Holzmueller, E.J.; Gillespie, A.R. Tree-Crop interactions in temperate agroforestry. In North American Agroforestry: An Integrated Science and Practice; Wiley: Hoboken, NJ, USA, 2009; pp. 57–74. [Google Scholar]
  113. Kumar, B.M.; Nair, P.K.R. Carbon Sequestration Potential of Agroforestry Systems; Springer: Berlin/Heidelberg, Germany, 2011. [Google Scholar]
  114. Mbow, C.; Smith, P.; Skole, D.; Duguma, L.; Bustamante, M. Achieving mitigation and adaptation to climate change through sustainable agroforestry practices in africa. Curr. Opin. Environ. Sustain. 2014, 6, 8–14. [Google Scholar] [CrossRef]
  115. Markum; Ariesoesiloningsih, E.; Suprayogo, D.; Hairiah, K. Contribution of agroforestry system in maintaining carbon stocks and reducing emission rate at Jangkok watershed, Lombok Island. Agrivita 2013, 35, 54–63. [Google Scholar] [CrossRef]
  116. Mwangi, H.M.; Julich, S.; Patil, S.D.; McDonald, M.A.; Feger, K.H. Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa. Hydrol. Processes 2016, 30, 3139–3155. [Google Scholar] [CrossRef]
  117. Van Noordwijk, M.; Coe, R.; Sinclair, F.L.; Luedeling, E.; Bayala, J.; Muthuri, C.W.; Cooper, P.; Kindt, R.; Duguma, L.; Lamanna, C.; et al. Climate change adaptation in and through agroforestry: Four decades of research initiated by Peter Huxley. In Mitigation and Adaptation Strategies for Global Change; Media, B.V., Ed.; Springer: Berlin/Heidelberg, Germany, 2021; Volume 26. [Google Scholar]
  118. Verchot, L.V.; Van Noordwijk, M.; Kandji, S.; Tomich, T.; Ong, C.; Albrecht, A.; Mackensen, J.; Bantilan, C.; Anupama, K.V.; Palm, C. Climate change: Linking adaptation and mitigation through agroforestry. Mitig. Adapt. Strateg. Glob. Chang. 2007, 12, 901–918. [Google Scholar] [CrossRef]
  119. Wijaya, A.; Chrysolite, H.; Ge, M.; Wibowo, C.K.; Pradana, A.; Utami, A.F.; Austin, K. How Can Indonesia Achieve Its Climate Change Mitigation Goal? An Analysis of Potential Emissions Reductions from Energy and Land-Use Policies; World Resources Institute: Washington, DC, USA, 2017; pp. 1–36. [Google Scholar]
  120. Iswoyo, H.; Stoeber, S.; Yassi, A.; Dermawan, R.; Ramba, T. Empowering upland farmers to become more resilient towards climate change–experiences from Toraja, Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2019, 235, 012039. [Google Scholar] [CrossRef]
  121. Simarmata, T.; Khais Proyoga, M.; Herdiyantoro, D.; Setiawati, M.R.; Adinata, K.; Stöber, S. Climate Resilient Sustainable Agriculture for Restoring the Soil Health and Increasing Rice Productivity as Adaptation Strategy to Climate Change in Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2021, 748, 012039. [Google Scholar] [CrossRef]
  122. Murniati, K.; Mutolib, A. The impact of climate change on the household food security of upland rice farmers in Sidomulyo, Lampung Province, Indonesia. Biodiversitas J. Biol. Divers. 2020, 21, 3487–3493. [Google Scholar] [CrossRef]
  123. Malhi, Y.; Franklin, J.; Seddon, N.; Solan, M.; Turner, M.G.; Field, C.B.; Knowlton, N. Climate change and ecosystems: Threats, opportunities and solutions. Philos. Trans. R. Soc. B Biol. Sci. 2020, 375, 20190104. [Google Scholar] [CrossRef] [PubMed]
  124. Ghozali, A.; Ariyaningsih; Sukmara, R.B.; Aulia, B.U. A Comparative Study of Climate Change Mitigation and Adaptation on Flood Management Between Ayutthaya City (Thailand) and Samarinda City (Indonesia). Procedia Soc. Behav. Sci. 2016, 227, 424–429. [Google Scholar] [CrossRef]
  125. Rudianto, I.; Handayani, W.; Setyono, J.S. A Regional Perspective on Urbanization and Climate-Related Disasters in the Northern Coastal Region of Central Java, Indonesia. Land 2018, 7, 34. [Google Scholar] [CrossRef]
  126. De Priester, L. An approach to the profile of disaster risk of Indonesia (Monographic issue). Emerg. Disaster Rep. 2016, 3, 5–66. [Google Scholar]
  127. Uly, N.B.; Lobo, M.A.A.; Eclesi, M.D.; Prasetyo, S.Y.J. Analisis Resiko Longsor berbasis Citra Landsat-8 menggunakan Interpolasi Spasial. Indones. J. Comput. Model. 2020, 3, 17–23. [Google Scholar]
  128. Chae, B.-G.; Park, H.-J.; Catani, F.; Simoni, A.; Berti, M. Landslide prediction, monitoring and early warning: A concise review of state-of-the-art. Geosci. J. 2017, 21, 1033–1070. [Google Scholar] [CrossRef]
  129. Bradbear, C.; Friel, S. Integrating climate change, food prices and population health. Food Policy 2013, 43, 56–66. [Google Scholar] [CrossRef]
  130. Thiede, B.C.; Gray, C. Climate exposures and child undernutrition: Evidence from Indonesia. Soc. Sci. Med. 2020, 265, 113298. [Google Scholar] [CrossRef]
  131. Rizal, A.; Anna, Z. Climate Change and Its Possible Food Security Implications Toward Indonesian Marine and Fisheries. World News Nat. Sci. 2019, 22, 119–128. [Google Scholar]
  132. Sari, D.A.A.; Indriyani, R. Loss and Damage Due To Climate Change in Indonesia: An Overview of the Asean Cooperation Adapting To Global Warming. Indones. J. Int. Law 2015, 12, 382–398. [Google Scholar] [CrossRef]
  133. Sun, Y.; Han, Z. Climate change risk perception in taiwan: Correlation with individual and societal factors. Int. J. Environ. Res. Public Health 2018, 15, 91. [Google Scholar] [CrossRef] [PubMed]
  134. Unfried, K.; Kis-Katos, K.; Poser, T. Water scarcity and social conflict. J. Environ. Econ. Manag. 2022, 113, 102633. [Google Scholar] [CrossRef]
  135. Brown, N. Climate and Conflict. RUSI J. 1990, 135, 79–83. [Google Scholar] [CrossRef]
  136. Fritsche, I.; Cohrs, J.C.; Kessler, T.; Bauer, J. Global warming is breeding social conflict: The subtle impact of climate change threat on authoritarian tendencies. J. Environ. Psychol. 2012, 32, 1–10. [Google Scholar] [CrossRef]
  137. Koubi, V. Climate change and conflict. Annu. Rev. Political Sci. 2019, 22, 343–360. [Google Scholar] [CrossRef]
  138. Adger, W.N.; Barnett, J.; Brown, K.; Marshall, N.; O’Brien, K. Cultural dimensions of climate change impacts and adaptation. Nat. Clim. Chang. 2013, 3, 112–117. [Google Scholar] [CrossRef]
  139. Abate, R.; Kronk Warner, E. Climate Change and Indigenous Peoples; Edward Elgar Publishing: Cheltenham, UK, 2013. [Google Scholar] [CrossRef]
  140. Government of Indonesia. Law Number 32 of 2009 on Protection and Management of the Environment; Government of Indonesia: Jakarta, Indonesia, 2009.
  141. Ministry of Environment and Forestry. Ministry of Environment and Forestry Regulation Number P.33/Menlhk/Setjen/Kum.1/3/2016 on Guidelines for Developing Climate Change Adaptation Actions; Ministry of Environment and Forestry: Jakarta, Indonesia, 2016.
  142. Mahyastuti, P.; Mufida, S.F.; Sesotyaningtyas, M.; Utomo, E.T.; Ariyanto, Y.; Nurwanda, A.; Panduswanto, P.; Maulana, R.F. Ringkasan Eksekutif Kebijakan Pembangunan Berketahanan Iklim 2020–2045; Pratiwi, S., Utomo, E.T., Eds.; Ministry of National Development Planning: Jakarta, Indonesia, 2021; p. 44.
  143. Ministry of National Development Planning. Rencana Aksi Nasional Adaptasi Perubahan Iklim (RAN-API); Ministry of National Development Planning/National Development Planning Agency (Bappenas): Jakarta, Indonesia, 2014; p. 204.
  144. Government of Indonesia. First Nationally Determined Contribution Republic of Indonesia; Ministry of Environment and Forestry: Jakarta, Indonesia, 2016; p. 19.
  145. Government of Indonesia. Law Number 16 of 2016 on Ratification of the Paris Agreement to the United Nations Framework Convention on Climate Change; Government of Indonesia: Jakarta, Indonesia, 2016.
  146. Pambudi, A.S.; Moersidik, S.S. Conservation direction based on estimation of erosion in Lesti sub-watershed, Malang District. IOP Conf. Ser. Earth Environ. Sci. 2019, 399, 012097. [Google Scholar] [CrossRef]
  147. Directorate of Climate Change Adaptation. Sistem Informasi dan Data Indeks Kerentanan (SIDIK). Available online: https://www.apiki.or.id/wp-content/uploads/2021/10/SIDIK-_-Sistem-Informasi-Data-Indeks-Kerentanan-_-Arif-Wibowo-_-API-PPI-KLHK.pdf (accessed on 12 June 2022).
  148. Directorate General of Climate Change. Road Map Program Kampung Iklim (ProKlim): Gerakan Nasional Pengendalian Perubahan Iklim Berbasis Masyarakat; Directorate General of Climate Change, Ministry of Environment and Forestry: Jakarta, Indonesia, 2017; p. 57.
  149. Directorate General of Climate Change Control. Director General of Climate Change Control Regulation Number P.2/PPI/SET/KUM.1/1/2018 on Guidelines for Facilitation of Climate Change Adaptation Plan Development in the Regions; Directorate General of Climate Change Control, Ministry of Environment and Forestry: Jakarta, Indonesia, 2018.
  150. Ministry of Environment and Forestry. Ministry of Environment and Forestry Regulation Number P.7/Menlhk/Setjen/Kum.1/2/2018 on Guidelines for Assessing Vulnerability, Risk, and Impact of Climate Change; Ministry of Environment and Forestry: Jakarta, Indonesia, 2018.
  151. Directorate General of Climate Change Control. Director General of Climate Change Control Regulation Number P.4/PPI/SET/KUM.1/11/2019 on Guidelines for Identification of Ecosystem-Based Climate Change Adaptation; Directorate General of Climate Change Control, Ministry of Environment and Forestry: Jakarta, Indonesia, 2019.
  152. Ministry of National Development Planning. National Adaptation Plan: Executive Summary 2019; Ministry of National Development Planning/National Development Planning Agency (Bappenas): Jakarta, Indonesia, 2019; p. 32.
  153. President of the Republic of Indonesia. Presidential Regulation (PERPRES) Number 18 of 2020 on 2020–2024 National Medium-Term Development Plan; Government of Indonesia: Jakarta, Indonesia, 2020.
  154. Lemieux, C.J.; Gray, P.A.; Douglas, A.G.; Nielsen, G.; Pearson, D. From science to policy: The making of a watershed-scale climate change adaptation strategy. Environ. Sci. Policy 2014, 42, 123–137. [Google Scholar] [CrossRef]
  155. Chiang, L.-C.; Chaubey, I.; Hong, N.-M.; Lin, Y.-P.; Huang, T. Implementation of BMP Strategies for Adaptation to Climate Change and Land Use Change in a Pasture-Dominated Watershed. Int. J. Environ. Res. Public Health 2012, 9, 3654–3684. [Google Scholar] [CrossRef]
  156. Ansari, A.; Lin, Y.-P.; Lur, H.-S. Evaluating and Adapting Climate Change Impacts on Rice Production in Indonesia: A Case Study of the Keduang Subwatershed, Central Java. Environments 2021, 8, 117. [Google Scholar] [CrossRef]
  157. Candradijaya, A.; Kusmana, C.; Syaukat, Y.; Syaufina, L.; Faqih, A. Climate change impact on rice yield and adaptation response of local farmers in Sumedang District, West Java, Indonesia. Int. J. Ecosyst. 2014, 4, 212–223. [Google Scholar] [CrossRef]
  158. Kinose, Y.; Masutomi, Y.; Shiotsu, F.; Hayashi, K.; Ogawada, D.; Gomez-Garcia, M.; Matsumura, A.; Takahashi, K.; Fukushi, K. Impact assessment of climate change on the major rice cultivar Ciherang in Indonesia. J. Agric. Meteorol. 2020, 76, 19–28. [Google Scholar] [CrossRef]
  159. Syaukat, Y. The impact of climate change on food production and security and its adaptation programs in Indonesia. J. Int. Soc. Southeast Asian Agric. Sci. 2011, 17, 40–51. [Google Scholar]
  160. Sujatmiko, T.; Ihsaniyati, H. Implication of climate change on coffee farmers’ welfare in Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2018, 200, 012054. [Google Scholar] [CrossRef]
  161. Murniati, K.; Widjaya, S.; Rabiatul, A.; Listiana, I. Climate change adaptation strategy for sustainability and food security of cassava farming households in Lampung, Indonesia. J. Agric. Ext. 2019, 23, 138–146. [Google Scholar] [CrossRef]
  162. Nurjani, E.; Harini, R.; Sekaranom, A.; Mutaqqin, A. Tobacco farmers Perspective towards increasing climate change risk on agriculture sector: A case study of Temanggung-Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2020, 451, 012101. [Google Scholar] [CrossRef]
  163. Sekaranom, A.B.; Nurjani, E.; Nucifera, F. Agricultural climate change adaptation in Kebumen, central Java, Indonesia. Sustainability 2021, 13, 7069. [Google Scholar] [CrossRef]
  164. Lansing, J.S.; Thurner, S.; Chung, N.N.; Coudurier-Curveur, A.; Karakaş, Ç.; Fesenmyer, K.A.; Chew, L.Y. Adaptive self-organization of Bali’s ancient rice terraces. Proc. Natl. Acad. Sci. USA 2017, 114, 6504–6509. [Google Scholar] [CrossRef]
  165. Suryadarma, I. Biodiversity and ecological phenomena in pranatamongso calendar: Basic knowledge and goal for optimizing of crop production in javanese farmers. J. Phys. Conf. Ser. 2019, 1317, 012183. [Google Scholar] [CrossRef]
  166. Norken, I.N.; Suputra, I.K.; Arsana, I. Water Resources Management of Subak Irrigation System in Bali. Appl. Mech. Mater. 2015, 776, 139–144. [Google Scholar] [CrossRef]
  167. Apriyana, Y.; Surmaini, E.; Estiningtyas, W.; Pramudia, A.; Ramadhani, F.; Suciantini, S.; Susanti, E.; Purnamayani, R.; Syahbuddin, H. The Integrated Cropping Calendar Information System: A coping mechanism to climate variability for sustainable agriculture in Indonesia. Sustainability 2021, 13, 6495. [Google Scholar] [CrossRef]
  168. EPA. Climate Change Indicators: River Flooding. Available online: https://www.epa.gov/climate-indicators/climate-change-indicators-river-flooding (accessed on 28 May 2022).
  169. UNEP. How Climate Change Is Making Record-Breaking Floods the New Normal. Available online: https://www.unep.org/news-and-stories/story/how-climate-change-making-record-breaking-floods-new-normal (accessed on 28 May 2022).
  170. The World Bank Floods and Droughts: An EPIC Response to These Hazards in the Era of Climate Change. Available online: https://www.worldbank.org/en/news/feature/2021/06/17/floods-and-droughts-an-epic-response-to-these-hazards-in-the-era-of-climate-change (accessed on 28 May 2022).
  171. Mallakpour, I.; Villarini, G. The changing nature of flooding across the central United States. Nat. Clim. Chang. 2015, 5, 250–254. [Google Scholar] [CrossRef]
  172. Fitriyani, J.; Apriyadi, R.K.; Winugroho, T.; Hartono, D.; Widana, I.D.K.K.; Wilopo, W. Karakteristik histori bencana Indonesia periode 1815–2019 berdasarkan jumlah bencana, kematian, keterpaparan dan kerusakan rumah akibat bencana. PENDIPA J. Sci. Educ. 2021, 5, 322–327. [Google Scholar] [CrossRef]
  173. BNPB. Korban dan Kerusakan Menurut Bencana (Data Informasi Bencana Indonesia); Badan Nasional Penanggulangan Bencana (BNPB): Badan, Indonesia, 2021.
  174. Case, M.; Ardiansyah, F.; Spector, E. Climate Change in Indonesia: Implications for Humans and Nature. In World Wide Fund for Nature, UK (WWF) Report; World Wide Fund for Nature, UK (WWF): Godalming, UK, 2007; pp. 1–13. [Google Scholar]
  175. Lanen, H.A.J.V. Drought: How to be Prepared for the Hazard? In Hydrometeorological Hazards, 1st ed.; Quevauviller, P., Ed.; John Wiley & Sons Ltd.: Hoboken, NJ, USA, 2015; Volume 1, pp. 171–201. [Google Scholar]
  176. Bachmair, S.; Svensson, C.; Prosdocimi, I.; Hannaford, J.; Stahl, K. Developing drought impact functions for drought risk management. Nat. Hazards Earth Syst. Sci. 2017, 17, 1947–1960. [Google Scholar] [CrossRef]
  177. He, X.; Estes, L.; Konar, M.; Tian, D.; Anghileri, D.; Baylis, K.; Evans, T.P.; Sheffield, J. Integrated approaches to understanding and reducing drought impact on food security across scales. Curr. Opin. Environ. Sustain. 2019, 40, 43–54. [Google Scholar] [CrossRef]
  178. Garrabou, J.; Coma, R.; Bensoussan, N.; Bally, M.; ChevaldonnÉ, P.; Cigliano, M.; Diaz, D.; Harmelin, J.G.; Gambi, M.C.; Kersting, D.K.; et al. Mass mortality in Northwestern Mediterranean rocky benthic communities: Effects of the 2003 heat wave. Glob. Change Biol. 2009, 15, 1090–1103. [Google Scholar] [CrossRef]
  179. Mursidi, A.; Sari, D.A.P. Management of Drought Disaster in Indonesia. J. Terap. Manaj. Dan Bisnis 2017, 3, 165–171. [Google Scholar] [CrossRef]
  180. Tacconi, L. Fires in Indonesia: Causes, costs and policy implications. In CIFOR Occasional Paper; Center for International Forestry Research (CIFOR): Bogor, Indonesia, 2003; Volume 38, p. 34. [Google Scholar]
  181. Herawati, H.; Santoso, H. Tropical forest susceptibility to and risk of fire under changing climate: A review of fire nature, policy and institutions in Indonesia. For. Policy Econ. 2011, 13, 227–233. [Google Scholar] [CrossRef]
  182. Thoha, A.; Saraswati, N.; Sulistiyono, N.; Wiranata, D.; Sirait, S.; Inaldi, R. Analysis of land cover changes due to forest fires in Gunung Leuser National Park, North Sumatra Province, Indonesia. Biodiversitas 2022, 23, 1420–1426. [Google Scholar] [CrossRef]
  183. Brasika, I. The Role of El Nino Variability and Peatland in Burnt Area and Emitted Carbon in Forest Fire Modeling. For. Soc. 2022, 6, 84–103. [Google Scholar] [CrossRef]
  184. Ahmad, A.; Lopulisa, C.; Imran, A.M.; Baja, S. Rainfall erosivity in climate changes and the connection to landslide events. IOP Conf. Ser. Earth Environ. Sci. 2019, 280, 012007. [Google Scholar] [CrossRef]
  185. Kirschbaum, D.B.; Adler, R.; Hong, Y.; Hill, S.; Lerner-Lam, A. A global landslide catalog for hazard applications: Method, results, and limitations. Nat. Hazards 2010, 52, 561–575. [Google Scholar] [CrossRef]
  186. Kantamaneni, K.; Christie, D.; Lyddon, C.E.; Huang, P.; Nizar, M.; Balasubramani, K.; Ravichandran, V.; Prasad, K.A.; Pushparaj, R.R.B.; Robins, P. A Comprehensive Assessment of Climate Change and Coastal Inundation through Satellite-Derived Datasets: A Case Study of Sabang Island, Indonesia. Remote Sens. 2022, 14, 2857. [Google Scholar] [CrossRef]
  187. Marfai, M.A. Preliminary assessment of coastal erosion and local community adaptation in Sayung Coastal Area, Central Java–Indonesia. Quaest. Geogr. 2012, 31, 47–55. [Google Scholar] [CrossRef]
  188. Choirunnisa, A.K.; Giyarsih, S.R. The socioeconomic vulnerability of coastal communities to abrasion in Samas, Bantul Regency, Indonesia. Quaest. Geogr. 2018, 37, 115–126. [Google Scholar] [CrossRef]
  189. Dewi, R.S.; Bijker, W. Dynamics of shoreline changes in the coastal region of Sayung, Indonesia. Egypt J. Remote Sens. Space Sci. 2020, 23, 181–193. [Google Scholar] [CrossRef]
  190. Central Pacific Hurricane Center. Tropical Cyclone Climatology. Available online: https://www.nhc.noaa.gov/climo/ (accessed on 29 June 2022).
  191. Mulyana, E.; Prayoga, M.B.R.; Yananto, A.; Wirahma, S.; Aldrian, E.; Harsoyo, B.; Seto, T.H.; Sunarya, Y. Tropical cyclones characteristic in southern Indonesia and the impact on extreme rainfall event. MATEC Web Conf. 2018, 229, 02007. [Google Scholar] [CrossRef]
  192. Samrin, F.; Irwana, I.; Trismidianto; Hasanah, N. Analysis of the Meteorological Condition of Tropical Cyclone Cempaka and Its Effect on Heavy Rainfall in Java Island. IOP Conf. Ser. Earth Environ. Sci. 2019, 303, 012065. [Google Scholar] [CrossRef]
  193. Cahyadi, A.; Haryono, E.; Adji, T.N.; Widyastuti, M.; Riyanto, I.A.; Nurteisa, Y.T.; Fatchurohman, H.; Reinhard, H.; Agniy, R.F.; Nurkholis, A.; et al. Groundwater Flooding due to Tropical Cyclone Cempaka in Ngreneng Karst Window, Gunungsewu Karst Area, Indonesia. E3S Web Conf. 2019, 125, 01020. [Google Scholar] [CrossRef]
  194. Destantyo Nugroho, A.; Habib Muzaki, N. Study of surface and vertical sea temperatures during the process of tropical cyclone formation in the territory of Indonesia (case study 2019–2021). IOP Conf. Ser. Earth Environ. Sci. 2022, 989, 012006. [Google Scholar] [CrossRef]
  195. Clarke, T.M.; Wabnitz, C.C.C.; Frölicher, T.L.; Reygondeau, G.; Pauly, D.; Cheung, W.W.L. Linking observed changes in pelagic catches to temperature and oxygen in the Eastern Tropical Pacific. Fish Fish. 2022. [Google Scholar] [CrossRef]
  196. Dong, Z.; Wang, L.; Sun, Y.; Hu, T.; Limsakul, A.; Singhruck, P.; Pimonsree, S. Heatwaves in Southeast Asia and Their Changes in a Warmer World. Earth’s Future 2021, 9, e2021EF001992. [Google Scholar] [CrossRef]
  197. Setiawati, M.D.; Jarzebski, M.P.; Gomez-Garcia, M.; Fukushi, K. Accelerating Urban Heating Under Land-Cover and Climate Change Scenarios in Indonesia: Application of the Universal Thermal Climate Index. Front. Built Environ. 2021, 7, 622382. [Google Scholar] [CrossRef]
  198. Chambers, J. Global and cross-country analysis of exposure of vulnerable populations to heatwaves from 1980 to 2018. Clim. Change 2020, 163, 539–558. [Google Scholar] [CrossRef]
  199. Campbell, S.; Remenyi, T.A.; White, C.J.; Johnston, F.H. Heatwave and health impact research: A global review. Health Place 2018, 53, 210–218. [Google Scholar] [CrossRef] [PubMed]
  200. Perkins-Kirkpatrick, S.E.; Lewis, S.C. Increasing trends in regional heatwaves. Nat. Commun. 2020, 11, 3357. [Google Scholar] [CrossRef] [PubMed]
  201. Iskandar, M.R.; Ismail, M.F.A.; Arifin, T.; Chandra, H. Marine heatwaves of sea surface temperature off south Java. Heliyon 2021, 7, e08618. [Google Scholar] [CrossRef] [PubMed]
  202. Wernberg, T.; Smale, D.A.; Tuya, F.; Thomsen, M.S.; Langlois, T.J.; de Bettignies, T.; Bennett, S.; Rousseaux, C.S. An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot. Nat. Clim. Change 2013, 3, 78–82. [Google Scholar] [CrossRef]
  203. Hughes, T.P.; Barnes, M.L.; Bellwood, D.R.; Cinner, J.E.; Cumming, G.S.; Jackson, J.B.C.; Kleypas, J.; van de Leemput, I.A.; Lough, J.M.; Morrison, T.H.; et al. Coral reefs in the Anthropocene. Nature 2017, 546, 82–90. [Google Scholar] [CrossRef] [PubMed]
  204. Oliver, E.C.; Perkins-Kirkpatrick, S.E.; Holbrook, N.J.; Bindoff, N.L. Anthropogenic and natural influences on record 2016 marine heat waves. Bull. Am. Meteorol. Soc. 2018, 99, S44–S48. [Google Scholar] [CrossRef]
  205. Mills, K.E.; Pershing, A.J.; Brown, C.J.; Chen, Y.; Chiang, F.-S.; Holland, D.S.; Lehuta, S.; Nye, J.A.; Sun, J.C.; Thomas, A.C.; et al. Fisheries Management in a Changing Climate: Lessons from the 2012 Ocean Heat Wave in the Northwest Atlantic. Oceanography 2013, 26, 191–195. [Google Scholar] [CrossRef]
  206. Caputi, N.; Kangas, M.; Denham, A.; Feng, M.; Pearce, A.; Hetzel, Y.; Chandrapavan, A. Management adaptation of invertebrate fisheries to an extreme marine heat wave event at a global warming hot spot. Ecol. Evol. 2016, 6, 3583–3593. [Google Scholar] [CrossRef] [PubMed]
  207. Brooks, K.N.; Ffolliott, P.F.; Gregersen, H.M.; DeBano, L.F. Hydrology and The Management of Watersheds; John Wiley & Sons, Inc.: Oxford, UK, 2013. [Google Scholar]
  208. Nearing, M.A.; Pruski, F.F.; O’Neal, M.R. Expected Climate Change Impacts on Soil Erosion Rates: A Review. J. Soil Water Conserv. 2004, 59, 43–50. [Google Scholar]
  209. Wang, Z.; Xu, M.; Liu, X.; Singh, D.K.; Fu, X. Quantifying the impact of climate change and anthropogenic activities on runoff and sediment load reduction in a typical Loess Plateau watershed. J. Hydrol. 2022, 39, 10092. [Google Scholar] [CrossRef]
  210. Zhiying, L.; Haiyan, F. Impacts of climate change on water erosion: A review. Earth Sci. Rev. 2016, 163, 94–117. [Google Scholar] [CrossRef]
  211. Delpla, I.; Jung, A.V.; Baures, E.; Clement, M.; Thomas, O. Impacts of Climate Change on Surface Water Quality in Relation to Drinking Water Production. Environ. Int. 2009, 35, 1225–1233. [Google Scholar] [CrossRef] [PubMed]
  212. Ansari, A.A.; Gill, S.S.; Lanza, G.R.; Rast, W. (Eds.) Eutrophication: Causes, Consequences and Control; Springer: Dordrech, The Netherlands, 2011; p. 401. [Google Scholar]
  213. Chislock, M.F.; Doster, E.; Zitomer, R.A.; Wilson, A.E. Eutrophication: Causes, consequences, and controls in aquatic ecosystems. Nat. Educ. Knowl. 2013, 4, 10. [Google Scholar]
  214. Jorgensen, S.; Tundisi, J.G.; Tundisi, T.M. Handbook of Inland Aquatic Ecosystem Management; CRC Press: Boca Raton, FL, USA, 2012; Volume 5. [Google Scholar]
  215. Han, B.; Reidy, A.; Li, A. Modeling nutrient release with compiled data in a typical Midwest watershed. Ecol. Indic. 2021, 121, 107213. [Google Scholar] [CrossRef]
  216. Khan, M.N.; Mohammad, F. Eutrophication: Challenges and solutions. In Eutrophication: Causes, Consequences and Control; Ansari, A., Gill, S., Eds.; Springer: Berlin/Heidelberg, Germany, 2014; pp. 1–15. [Google Scholar]
  217. Sharabian, M.N.; Ahmad, S.; Karakouzian, M. Climate Change and Eutrophication: A Short Review. Eng. Technol. Appl. Sci. Res. 2018, 8, 3668–3672. [Google Scholar] [CrossRef]
  218. Biswas, B.; Qi, F.; Biswas, J.K.; Wijayawardena, A.; Khan, M.A.I.; Naidu, R. The Fate of Chemical Pollutants with Soil Properties and Processes in the Climate Change Paradigm—A Review. Soil Syst. 2018, 2, 51. [Google Scholar] [CrossRef]
  219. Lehmann, J.; Schroth, G. Nutrient leaching. In Trees, Crops and Soil Fertility—Concepts and Research Methods; Schroth, G., Sinclair, F.L., Eds.; CAB International: Wallingford, UK, 2003; pp. 151–166. [Google Scholar]
  220. Mateo-Sagasta, J.; Zadeh, S.M.; Turral, H.; Burke, J. Water Pollution from Agriculture: A Global Review. Executive Summary; Food and Agriculture Organization of the United Nations (FAO): Rome, Italy; International Water Management Institute (IWMI): Colombo, Sri Lanka, 2017; p. 35. [Google Scholar]
  221. Alcamo, J.; Flörke, M.; Märker, M. Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrol. Sci. J. 2007, 52, 247–275. [Google Scholar] [CrossRef]
  222. Ali, S.; Liu, Y.; Ishaq, M.; Shah, T.; Abdullah; Ilyas, A.; Din, I.U. Climate change and its impact on the yield of major food crops: Evidence from pakistan. Foods 2017, 6, 39. [Google Scholar] [CrossRef] [PubMed]
  223. Thornton, P.K.; Whitbread, A.; Baedeker, T.; Cairns, J.; Claessens, L.; Baethgen, W.; Bunn, C.; Friedmann, M.; Giller, K.E.; Herrero, M.; et al. A framework for priority-setting in climate smart agriculture research. Agric. Syst. 2018, 167, 161–175. [Google Scholar] [CrossRef]
  224. Raza, A.; Razzaq, A.; Mehmood, S.S.; Zou, X.; Zhang, X.; Lv, Y.; Xu, J. Impact of climate change on crops adaptation and strategies to tackle its outcome: A review. Plants 2019, 8, 34. [Google Scholar] [CrossRef] [PubMed]
  225. Droogers, P.; Aerts, J. Adaptation strategies to climate change and climate variability: A comparative study between seven contrasting river basins. Phys. Chem. Earth 2005, 30, 339–346. [Google Scholar] [CrossRef]
  226. Arnell, N.W. Climate change and global water resources: SRES emissions and socio-economic scenarios. Glob. Environ. Chang. 2004, 14, 31–52. [Google Scholar] [CrossRef]
  227. Kandlikar, M.; Risbey, J. Agricultural impacts of climate change: If adaptation is the answer, what is the question? An editorial comment. Clim. Chang. 2000, 45, 529–539. [Google Scholar] [CrossRef]
  228. Hanjra, M.A.; Qureshi, M.E. Global water crisis and future food security in an era of climate change. Food Policy 2010, 35, 365–377. [Google Scholar] [CrossRef]
  229. Cahyono, S.A.; Warsito, S.P.; Andayani, W.; Darwanto, D.H. Corruption eradication impacts on the economy, carbon emissions and forestry sector in Indonesia. J. Mns. Dan Lingkung 2015, 22, 388. [Google Scholar] [CrossRef]
  230. Frankhauser, S.; Pearce, D. The Social Costs of Greenhouse Gas Emission. Economics of Climate Change. Organization for Economic Cooperation and Development; International Association for Energy Economics: Paris, France, 1994. [Google Scholar]
  231. Brown, S.P.A. Global Warming Policy: Some Economic Implications. In Economic Review Fourth Quarter 1998; Federal Reserve Bank of Dallas: Dallas, TX, USA, 1998; pp. 1–10. [Google Scholar]
  232. Stern, N. The Economics of Climate Change: The Stern Review; Cambridge University Press: Cambridge, UK, 2007. [Google Scholar]
  233. Cahyono, S.A. Kebijakan Pembangunan Sektor Kehutanan dan Ekonomi sebagai Antisipasi Dampak Perubahan Iklim; Fakultas Kehutanan, Universitas Gadjah Mada: Yogyakarta, Indonesia, 2015. [Google Scholar]
  234. Rozari, M.D. Climatic change in Indonesia. In South East Asia’s Environmental Future: The Search for Sustainability; Brookfield, H.C., Byron, Y., Eds.; Oxford University Press: Kuala Lumpur, Malaysia, 1993; p. 422. [Google Scholar]
  235. Rizal, A.; Nurruhwati, I. Contribution of Human and Capital Toward Regional Economic Growth of Garut District of West Java Province of Indonesia. Glob. Sci. J. 2018, 6, 172–179. [Google Scholar]
  236. Lestari, S. Analisis Kerugian Banjir dan Biaya Penerapan Teknologi Modifikasi Cuaca Dalam Mengatasi Banjir di DKI Jakarta. J. Sains Teknol. Modif. Cuaca 2002, 3, 155–159. [Google Scholar] [CrossRef]
  237. Wibowo, A.; Sugihardjo; Lestari, E. Synergy between myth and local wisdom in ecology balance of climate change in Java, Indonesia. IOP Conf. Ser. Earth Environ. Sci. 2021, 724, 012110. [Google Scholar] [CrossRef]
  238. Sarnia, P. Kerugian Banjir Bengawan Solo Capai Rp 33 Miliar. Available online: https://regional.kontan.co.id/news/kerugian-banjir-bengawan-solo-capai-rp-33-miliar (accessed on 20 March 2022).
  239. Mahdi, D. Hujan Deras dan Angin Kencang Terjang Bojonegoro, Sejumlah Rumah Rusak. Available online: https://jatim.inews.id/berita/hujan-deras-dan-angin-kencang-terjang-bojonegoro-sejumlah-rumah-rusak (accessed on 20 June 2022).
  240. CNN Indonesia. BPBD Sebut Kerugian Banjir Bengawan Solo Capai Rp1 Miliar. Available online: https://www.cnnindonesia.com/nasional/20190307174830-20-375356/bpbd-sebut-kerugian-banjir-bengawan-solo-capai-rp1-miliar (accessed on 20 June 2022).
  241. Gunawan, I. Banjir Bengawan Jero Meluas, Kerugian Ditaksir Rp 22.3 M. Available online: https://radarbojonegoro.jawapos.com/nasional/08/01/2021/banjir-bengawan-jero-meluas-kerugian-ditaksir-rp-223-m/ (accessed on 20 June 2022).
  242. Prihantini, C.I. Estimating the Economic Losses Value Caused by Flood Disaster in Sampang Regency Using Tangible Damage Assessment. IOP Conf. Ser. Earth Environ. Sci. 2020, 469, 012091. [Google Scholar] [CrossRef]
  243. Perdinan, P.; Boer, R.; Kartikasari, K.; Dasanto, B.D.; Hidayanti, R.; Oktavariani, D. Economic and Adaptation Costs of Climate Change: Case Study of Indramayu, West Java Indonesia. J. Kesejaht. Sos. 2018, 1, 101–112. [Google Scholar] [CrossRef]
  244. Zalmita, N.; Fitria, A.; Thaher, A. Tingkat Kerugian Ekonomi pada Bencana Banjir di Aceh Utara Tahun 2014–2019. J. Geogr. 2021, 19, 61–68. [Google Scholar] [CrossRef]
  245. Nabila, A. Estimasi Kerugian Ekonomi Masyarakat Akibat Kekeringan (Studi Kasus Desa Gunung Sari, Kecamatan Pamijahan, Kabupaten Bogor); IPB University: Bogor, Indonesia, 2018. [Google Scholar]
  246. Pratama, M.S.A. Analisis Dampak Sosial Ekonomi Bencana Kekeringan (Studi Kasus Desa Ciderum, Kecamatan Caringin, Kabupaten Bogor); Skripsi; Institut Pertanian Bogor (IPB): Bogor, Indonesia, 2020. [Google Scholar]
  247. Khomsan, A. Risiko Pertanian Akibat Kekeringan. Available online: https://mediaindonesia.com/opini/181683/risiko-pertanian-akibat-kekeringan (accessed on 22 March 2022).
  248. Wahyuni, K.I. Penilaian Ekonomi dan Indeks Kerentanan Rumahtangga Petani Padi di Kabupaten Timor Tengah Utara, Provinsi Nusa Tenggara Timur; Sekolah Pascasarjana, Institut Pertanian Bogor (IPB): Bogor, Indonesia, 2016; p. 118. [Google Scholar]
  249. Roberts, J.T.; Parks, B.C. A Climate of Injustice: Global Inequality, North-South Politics, and Climate Policy; The MIT Press: Cambridge, MA, USA, 2007; p. 384. [Google Scholar]
  250. Leichenko, R.; Silva, J.A. Climate change and poverty: Vulnerability, impacts, and alleviation strategies. Wiley Interdiscip. Rev.: Clim. Chang. 2014, 5, 539–556. [Google Scholar] [CrossRef]
  251. Bohle, H.G.; Downing, T.E.; Watts, M.J. Climate change and social vulnerability. Toward a sociology and geography of food insecurity. Glob. Environ. Chang. 1994, 4, 37–48. [Google Scholar] [CrossRef]
  252. Pramova, E.; Locatelli, B.; Djoudi, H.; Somorin, O.A. Forests and trees for social adaptation to climate variability and change. WIREs Clim. Change 2012, 3, 581–596. [Google Scholar] [CrossRef]
  253. World Health Organization. Malnutrition; World Health Organization (WHO): Geneva, Switzerland, 2020. [Google Scholar]
  254. McMahon, K.; Gray, C. Climate change, social vulnerability and child nutrition in South Asia. Glob. Environ. Chang. 2021, 71, 102414. [Google Scholar] [CrossRef]
  255. World Food Programme. Climate Crisis and Malnutrition: A Case for Acting Now; World Food Programme (WFP): Rome, Italy, 2021.
  256. World Health Organization. Climate Change and Health; World Health Organization (WHO): Geneva, Switzerland, 2021. [Google Scholar]
  257. Schmidhuber, J.; Tubiello, F.N. Global food security under climate change. Proc. Natl. Acad. Sci. USA 2007, 104, 19703–19708. [Google Scholar] [CrossRef]
  258. Leffers, J.M. Climate Change and Health of Children: Our Borrowed Future. J. Pediatric Health Care 2022, 36, 12–19. [Google Scholar] [CrossRef] [PubMed]
  259. Langkulsen, U.; Vichit-Vadakan, N.; Taptagaporn, S. Health impact of climate change on occupational health and productivity in Thailand. Global Health Action 2010, 3, 5607. [Google Scholar] [CrossRef] [PubMed]
  260. Frimpong, K.; Odonkor, S.T.; Kuranchie, F.A.; Nunfam, V.F. Evaluation of heat stress impacts and adaptations: Perspectives from smallholder rural farmers in Bawku East of Northern Ghana. Heliyon 2020, 6, e03679. [Google Scholar] [CrossRef] [PubMed]
  261. Grace, K.; Davenport, F.; Hanson, H.; Funk, C.; Shukla, S. Linking climate change and health outcomes: Examining the relationship between temperature, precipitation and birth weight in Africa. Glob. Environ. Chang. 2015, 35, 125–137. [Google Scholar] [CrossRef]
  262. Hajdu, T.; Hajdu, G. Temperature, climate change, and birth weight: Evidence from Hungary. Popul. Environ. 2021, 43, 131–148. [Google Scholar] [CrossRef]
  263. Rühlemann, A.; Jordan, J.C. Risk perception and culture: Implications for vulnerability and adaptation to climate change. Disasters 2021, 45, 424–452. [Google Scholar] [CrossRef] [PubMed]
  264. International Labour Office. Indigenous peoples and climate change: From victims to change agents through decent work. In Gender, Equality and Diversity Branch; International Labour Office (ILO): Geneva, Switzerland, 2017; pp. 1–56. [Google Scholar]
  265. Froese, R.; Schilling, J. The Nexus of Climate Change, Land Use, and Conflicts. Curr. Clim. Change Rep. 2019, 5, 24–35. [Google Scholar] [CrossRef]
  266. UN Water. Sustainable Development Goal 6: Synthesis Report 2018 on Water and Sanitation; The United Nations: New York, NY, USA, 2018. [Google Scholar]
  267. Bhaduri, A.; Bogardi, J.; Siddiqi, A.; Voigt, H.; Vörösmarty, C.; Pahl-Wostl, C.; Bunn, S.E.; Shrivastava, P.; Lawford, R.; Foster, S.; et al. Achieving Sustainable Development Goals from a Water Perspective. Front. Environ. Sci. 2016, 4, 64. [Google Scholar] [CrossRef]
  268. Villela, R.; Sánchez-Chávez, J.; Bravo-Inclán, L.; Carro, M.; Izurieta, A.; Tomasini Ortiz, A.; Rivera Ruiz, P.; Mantilla, G.; Tarabay, A.G. Holistic Approach to Watershed Management and Freshwater Conservation and Rehabilitation: A Case Study. Mod. Environ. Sci. Eng. 2017, 3, 451–459. [Google Scholar] [CrossRef]
  269. Ofi, A.; Saragih, S. Protect the water sources through community participation on the micro-watershed management in the Region of Oecusse Timor Leste. IOP Conf. Series: Earth Environ. Sci. 2019, 256, 012006. [Google Scholar] [CrossRef]
  270. Wu, C.; Ju, M.; Wang, L.; Gu, X.; Jiang, C. Public participation of the river chief system in china: Current trends, problems, and perspectives. Water 2020, 12, 3496. [Google Scholar] [CrossRef]
  271. Indrawati, D.R. Stakeholders Participation and Collaboration in Naruan Micro Watershed Management; Supangat, A.B., Dharmwan, I.W.S., Eds.; IPB Press: Bogor, Indonesia, 2019; pp. 45–55. [Google Scholar]
  272. Perkins, P.E. Public participation in watershed management: International practices for inclusiveness. Phys. Chem. Earth Parts A/B/C 2011, 36, 204–212. [Google Scholar] [CrossRef]
  273. Ahmad, N.S.B.A.; Mustafa, F.B.; Yusoff, S.Y.M.; Didams, G. A systematic review of soil erosion control practices on the agricultural land in Asia. Int. Soil Water Conserv. Res. 2020, 8, 103–115. [Google Scholar] [CrossRef]
  274. Selby, D.; Kagawa, F. Disaster Risk Reduction in School Curricula: Case Studies from Thirty Countries; UNICEF-UNESCO: Barcelona, Spain, 2012. [Google Scholar]
  275. BBC News Indonesia Jika Ada Kurikulum Bencana, Maka Apa Saja Yang Harus Diajarkan? Available online: https://www.bbc.com/indonesia/trensosial-46792396 (accessed on 20 March 2022).
  276. BNPB. Data Informasi Bencana Indonesia (DIBI). Available online: https://bnpb.cloud/dibi/laporan5 (accessed on 15 June 2022).
  277. Antara. Kurikulum Sekolah Siaga Bencana di Garut Disiapkan Untuk TK Hingga SMP. Available online: https://www.antaranews.com/berita/785384/kurikulum-sekolah-siaga-bencana-di-garut-disiapkan-untuk-tk-hingga-smp (accessed on 18 March 2022).
  278. Minang, P.; Duguma, L.; Bernard, L.; Nzyoka, J. Transparent and Accountable Management of Natural Resources in Developing Countries: The Case of Forests; Policy Department, Directorate-General for External Policies: Brussels, Belgium, 2017. [Google Scholar]
  279. OECD. Ensuring sustainable finance, investment and pricing for water and water services. In Toolkit for Water Policies and Governance: Converging Towards the OECD Council Recommendation on Water; Organisation for Economic Co-Operation and Development: Berlin/Heidelberg, Germany, 2021. [Google Scholar]
  280. Indrawati, D.R.; Awang, S.A.; Faida, L.R.W.; Maryudi, A. Community Empowerment in Micro Watershed Management: Concept and Implementation. Kawistara J. Ilm. Sos. Dan Hum. 2016, 6, 175–187. [Google Scholar]
  281. Surya, B.; Syafri, S.; Sahban, H.; Sakti, H.H. Natural resource conservation based on community economic empowerment: Perspectives on watershed management and slum settlements in Makassar City, South Sulawesi, Indonesia. Land 2020, 9, 104. [Google Scholar] [CrossRef]
  282. Shukla, P.R. A Multiple Objective Model for Sustainable Micro-Watershed Planning with Application; Indian Institute of Management Ahmedabad: Ahmedabad, India, 1992. [Google Scholar]
  283. Gunasena, C. Micro Catchment Management and Its Importance in the Next Century. Available online: https://www.academia.edu/26366518/Micro_catchment_management_planning_for_Tea_small_holders (accessed on 15 January 2022).
  284. Nabi, G.; Hussain, F.; Wu, R.S.; Nangia, V.; Bibi, R. Micro-watershed management for erosion control using soil and water conservation structures and SWAT modeling. Water 2020, 12, 1439. [Google Scholar] [CrossRef]
  285. Widianto; Hairiah, K.; Suharjito, D.; Sardjono, M.A. Fungsi dan peran agroforestri. World Agrofor. Cent. (ICRAF) 2003, 3, 1–49. [Google Scholar]
  286. Munia, H.A.; Guillaume, J.H.A.; Mirumachi, N.; Wada, Y.; Kummu, M. How downstream sub-basins depend on upstream inflows to avoid scarcity: Typology and global analysis of transboundary rivers. Hydrol. Earth Syst. Sci. 2018, 22, 2795–2809. [Google Scholar] [CrossRef]
  287. Piliouras, A.; Kim, W. Upstream and Downstream Boundary Conditions Control the Physical and Biological Development of River Deltas. Geophys. Res. Lett. 2019, 46, 11188–11196. [Google Scholar] [CrossRef]
  288. Thu Ha, D.T.; Kim, S.H.; Bae, D.H. Impacts of upstream structures on downstream discharge in the transboundary imjin river basin, Korean Peninsula. Appl. Sci. 2020, 10, 3333. [Google Scholar] [CrossRef]
  289. Antwi, D.Y.; Boateng; Soliman, K.M.A.; Thilakarathna, M.P.; Akbar, A.; Ali, M.; Ullah, S. Using IWRM as a Tool for Climate Resilience and Adaptation to Flood and Drought Disaster. Available online: https://www.researchgate.net/publication/340717780 (accessed on 20 February 2022).
  290. Subagyono, K.; Pawitan, H. Water harvesting techniques for sustainable water resources management in catchments area. In Proceedings of the International Workshop on Integrated Watershed Management for Sustainable Water Use in a Humid Tropical Region, Tsukuba, Japan, 31 October 2007; pp. 18–30. [Google Scholar]
  291. Pratiwi; Gustiani Salim, A. Aplikasi Teknik Konservasi Tanah dengan Sistem Rorak pada Tanaman Gmelina (Gmelina Arborea Roxb.) di KHDTK Carita, Banten. J. Penelit. Hutan Dan Konserv. Alam 2013, 10, 273–282. [Google Scholar] [CrossRef]
  292. Sallata, M.K. Pentingnya Aplikasi Teknik Konservasi Air Dengan Metode Struktur Fisik di Wilayah Hulu DAS. Info Tek. Eboni 2017, 14, 47–62. [Google Scholar] [CrossRef]
  293. Samadikun, B.P. Penerapan Biopori untuk Meningkatkan Peresapan Air Hujan di Kawasan Perumahan. J. Presipitasi Media 2019, 16, 126–132. [Google Scholar] [CrossRef]
  294. Guntara, A.Y.; Sutarto, T.E.; Banjarsanti, S.S. Perencanaan Sumur Resapan Sebagai Alternatif Dalam Upaya Mengatasi Masalah Banjir Di Kota Samarinda. J. Inersia 2016, 8, 39–47. [Google Scholar] [CrossRef]
  295. Pramono, B.A.S.; Kusumawardani, K.P.; Yuendini, E.P.; Sudaryatno. Aplikasi Penginderaan Jauh Dan Sig Dengan Metode Analytical Hierarchy Process Untuk Kajian Kerawanan Banjir Di Das Jali Cokroyasan Purworejo. J. Meteorol. Klimatol. Dan Geofis. 2018, 5, 1–10. [Google Scholar] [CrossRef]
  296. Narendra, B.H.; Salim, A.G. Aplikasi Teknologi di Bidang Kehutanan dalam Mendukung Kegiatan Rehabilitasi Lahan Kritis untuk Perbaikan Fungsi DAS.; Pratiwi, Narendra, B.H., Pamungkas, A.G., Eds.; IPB Press: Bogor, Indonesia, 2020; pp. 23–46. [Google Scholar]
  297. Yusuf, S.M.; Murtilaksono, K.; Lawaswati, D.M. Pemetaan sebaran erosi tanah prediksi melalui integrasi model USLE ke dalam Sistem Informasi Geografis. J. Pengelolaan Sumberd. Alam Dan Lingkung. (J. Nat. Resour. Environ. Manag.) 2020, 10, 594–606. [Google Scholar] [CrossRef]
  298. Kristianto, A.; Saragih, I.J.A.; Ryan, M.; Wandarana, W.; Pratiwi, H.N.; Gaol, A.L.; Pratama, K.; Siadari, E.L. Pemanfaatan Data Pengamatan Cuaca Berbasis Data Penginderaan Jauh dan Model Cuaca Numerik Bencana Hidrometeorologi. J. Geol. Edukasi Dan Lingkung. 2018, 2, 87–96. [Google Scholar]
  299. Badan Pusat Statistik Penduduk 15 Tahun Ke Atas yang Bekerja menurut Lapangan Pekerjaan Utama 1986–2022. Available online: https://www.bps.go.id/statictable/2009/04/16/970/penduduk-15-tahun-ke-atas-yang-bekerja-menurut-lapangan-pekerjaan-utama-1986---2018.html (accessed on 19 June 2022).
  300. Susilowati, S.H.; Maulana, M. Luas Lahan Usaha Tani dan Kesejateraan Petani: Eksistensi Petani Gurem dan Urgensi Kebijakan Reforma Agraria. Anal. Kebijak. Pertan. 2016, 10, 17–30. [Google Scholar] [CrossRef]
  301. Perdinan; Atmaja, T.; Adi, R.F.; Estiningtyas, W. Adaptasi perubahan iklim dan ketahanan pangan: Telaah inisiatif dan kebijakan. J. Huk. Lingkung. Indones. 2018, 5, 60–87. [Google Scholar] [CrossRef]
  302. Sumaryanto. Strategi Peningkatan Kapasitas Adaptasi Petani Tanaman Pangan Menghadapi Perubahan Iklim. Forum Penelit. Agro Ekon. 2012, 30, 73–89. [Google Scholar]
  303. Nugroho, H.Y.S.H.; Skidmore, A.; Hussin, Y.A. Verifying Indigenous based-claims to forest rights using image interpretation and spatial analysis: A case study in Gunung Lumut Protection Forest, East Kalimantan, Indonesia. GeoJournal 2020. [Google Scholar] [CrossRef]
  304. Hilman, I.; Hendriawan, N.; Sunaedi, N. Culture of Local Wisdom of Kampung Kuta Community in Facing Climate Changes in Ciamis Regency, West Java. IOP Conf. Ser. Earth Environ. Sci. 2019, 338, 012006. [Google Scholar] [CrossRef]
  305. Theodory, T.F. Dealing with Change: Indigenous Knowledge and Adaptation to Climate Change in the Ngono River Basin, Tanzania. Ph.D. Thesis, Rheinische Friedrich-Wilhelms-University of Bonn, Bonn, Germany, 2016. [Google Scholar]
  306. Nugroho, H.Y.S.H. Engaging with Adat People in Sustainable Forest Management. Ph.D. Thesis, The University of Twente, Enschede, The Netherlands, 2019. [Google Scholar]
  307. Setiawan, A. Membangun Indonesia Dari Pinggiran Desa. Available online: https://setkab.go.id/membangun-indonesia-dari-pinggiran-desa/ (accessed on 19 June 2022).
  308. Reza, M. SDGs Desa dan Rekonstruksi Paradigma Pembangunan Berkelanjutan. Available online: https://sdgsdesa.kemendesa.go.id/sdgs-desa-dan-rekonstruksi-paradigma-pembangunan-berkelanjutan/ (accessed on 19 May 2022).
  309. Ghufran, M.H.; Kordi, K. Mencapai Tujuan Pembangunan Berkelanjutan dari Desa. Available online: https://baktinews.bakti.or.id/artikel/mencapai-tujuan-pembangunan-berkelanjutan-dari-desa (accessed on 31 January 2022).
  310. Permatasari, P.; Ilman, A.S.; Tilt, C.A.; Lestari, D.; Islam, S.; Tenrini, R.H.; Rahman, A.B.; Samosir, A.P.; Wardhana, I.W. The Village Fund Program in Indonesia: Measuring the Effectiveness and Alignment to Sustainable Development Goals. Sustainability 2021, 13, 12294. [Google Scholar] [CrossRef]
  311. Masterplan Desa Tahun 2022 Waktunya Kolaborasi Membangun Desa. Available online: https://www.masterplandesa.com/penataan-desa/tahun-2022-waktunya-kolaborasi-membangun-desa/ (accessed on 7 October 2021).
  312. President of the Republic of Indonesia. Presidential Decree Number 12 of 2012 Concerning Determination of River Basin. Government of Indonesia; Government of Indonesia: Jakarta, Indonesia, 2012.
  313. Mangku, D.G.S. Peran Border Liasion Committee (BLC) Dalam Pengelolaan Perbatasan Antara Indonesia dan Timor Leste. Perspektif 2017, 22, 99–114. [Google Scholar]
  314. Djalante, R.; Thomalla, F. Disaster risk reduction and climate change adaptation in Indonesia. Int. J. Disaster Resil. Built Environ. 2012, 3, 166–180. [Google Scholar] [CrossRef]
  315. Syafri, S.; Surya, B.; Ridwan, R.; Bahri, S.; Rasyidi, E.S.; Sudarman, S. Water Quality Pollution Control and Watershed Management Based on Community Participation in Maros City, South Sulawesi, Indonesia. Sustainability 2020, 12, 10260. [Google Scholar] [CrossRef]
  316. Arnold, M.; Mearns, R.; Oshima, K.; Prasad, V. Climate and Disaster Resilience: The Role for Community-Driven Development; Social Development Department, World Bank: Washington, DC, USA, 2014. [Google Scholar]
  317. Mohammed, I.N.; Bolten, J.D.; Souter, N.J.; Shaad, K.; Vollmer, D. Diagnosing challenges and setting priorities for sustainable water resource management under climate change. Sci. Rep. 2022, 12, 796. [Google Scholar] [CrossRef]
  318. Kalehhouei, M.; Hazbavi, Z.; Slapevic, V.; Mincato, R.L.; Sestras, P. What is Smart Watershed Management? Agric. For. 2021, 67, 195–209. [Google Scholar]
  319. Mourato, S.; Fernandez, P.; Marques, F.; Rocha, A.; Pereira, L. An interactive Web-GIS fluvial flood forecast and alert system in operation in Portugal. Int. J. Disaster Risk Reduct. 2021, 58, 102201. [Google Scholar] [CrossRef]
  320. Randazzo, G.; Italiano, F.; Micallef, A.; Tomasello, A.; Cassetti, F.; Zammit, A.; D’Amico, S.; Saliba, O.; Maria, C.; Cavallaro, F.; et al. WebGIS Implementation for Dynamic Mapping and Visualization of Coastal Geospatial Data: A Case Study of BESS Project. Appl. Sci. 2021, 11, 8233. [Google Scholar] [CrossRef]
  321. Chaves, H.M.L.; Alipaz, S. An integrated indicator based on basin hydrology, environment, life, and policy: The watershed sustainability index. Water Resour. Manag. 2007, 21, 883–895. [Google Scholar] [CrossRef]
  322. Abba Omar, S.; Abiodun, B.J. Simulating the characteristics of cut-off low rainfall over the Western Cape using WRF. Clim. Dyn. 2021, 56, 1265–1283. [Google Scholar] [CrossRef]
  323. Teshager, A.D.; Gassman, P.W.; Secchi, S.; Schoof, J.T.; Misgna, G. Modeling Agricultural Watersheds with the Soil and Water Assessment Tool (SWAT): Calibration and Validation with a Novel Procedure for Spatially Explicit HRUs. Environ. Manag. 2016, 57, 894–911. [Google Scholar] [CrossRef] [PubMed]
  324. Bhardwaj, P.; Sharma, T.; Singh, O. Impact evaluation of watershed management programmes in Siwalik Himalayas of Haryana, India. Environ. Dev. Sustain. 2021, 23, 5251–5276. [Google Scholar] [CrossRef]
Figure 1. Perspective improvement of integrated watershed management for mitigation and adaptation of climate change in Indonesia.
Figure 1. Perspective improvement of integrated watershed management for mitigation and adaptation of climate change in Indonesia.
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Figure 2. Organogram implementation of watershed management at the national level. Source: Reproduced with permission from [55].
Figure 2. Organogram implementation of watershed management at the national level. Source: Reproduced with permission from [55].
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Figure 3. Organogram implementation of watershed management at the provincial level. Source: Reproduced with permission from [55].
Figure 3. Organogram implementation of watershed management at the provincial level. Source: Reproduced with permission from [55].
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Figure 4. Planning improvement in adaptive watershed management (based on the analysis for this current study).
Figure 4. Planning improvement in adaptive watershed management (based on the analysis for this current study).
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Table 1. The SWOT framework for integrated watershed management improvement and climate change in Indonesia.
Table 1. The SWOT framework for integrated watershed management improvement and climate change in Indonesia.
StrengthWeaknesses
  • Indonesia has committed to take real actions and efforts to reduce GHG emissions, increase carbon sequestration, ratification international, IFOLU net sink, use watershed to mitigate-adaptation climate change, and improve social welfare and environmental quality [3,5,7,32,33,90,91,92,93].
  • The Climate Village Program or the ProKlim and SDGs that intended to increase community and stakeholder participation in strengthening adaptation capacity to climate change impacts and reducing GHG emissions, as well as to recognize adaptation and mitigation efforts that can improve local welfare [86,94].
  • IWM was one of the key programs of the climate resilience activities, particularly to support economic resilience and also the ecosystem and landscape resilience [3,95].
  • Weak coordination among sectors and regions, lack of community participation, overlapping regulations, sectoral egos, lack of commitment, absence of regulation that rules each stakeholder to implement the IWM plan, very high complexity, overlapping management areas, and asymmetric information among sectors in watershed management activities [21,36,52,56,57,65,96].
  • The IWM approach has not been completely implemented, lack integration, and ambiguity in implementation, especially at the local level [26,52,77,78,79].
  • The results of the monitoring and evaluation (MONEV) cannot serve as inputs for watershed management planning improvement in the following period [21].
  • The availability of high-quality data is not ready and not real-time [97,98,99].
  • Indonesians have a lot of local wisdom and culture in natural resources management, which also affects mitigation and community adaptation capacity to disasters and climate change. Unfortunately, several local pearls of wisdom are currently being neglected [100,101].
OpportunitiesThreats
  • Climate change funding from international and multilateral [102,103,104].
  • The best practice for applying a watershed management model is based on a combination of local knowledge and modern science-based knowledge in a scope that can be managed according to shared interests or needs [105].
  • Development of agroforestry pattern is the best land management from ecological and economic aspects [36,106,107,108,109,110,111,112] to climate change mitigation [113,114,115] and adaptation [114,116,117,118].
  • Strengthening and extending the forest moratorium policy, restoring degraded forest and peatland, implementing energy conservation efforts, renewable energy development, a carbon tax on fossil-fuel power plants, replacing new development of coal power plants with clean and renewable energy sources (wind or solar), and providing subsidies and better feed-in tariffs for promoting renewable energy sources [119].
  • The sectors rarely refer to the watershed management plan that has been approved by the Governor. Involved in watershed management [62], and each region is more interested in obtaining economic benefits [65].
  • Climate change influences many sectors, including economy, agriculture, food security, energy, fisheries, tourism, health, flood, disaster, drought, forest fire, landslide, fishery, human health, conflict, culture, indigenous people’s existence, and biodiversity [87,88,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139].
Source: Based on the analysis for the current study.
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Basuki, T.M.; Nugroho, H.Y.S.H.; Indrajaya, Y.; Pramono, I.B.; Nugroho, N.P.; Supangat, A.B.; Indrawati, D.R.; Savitri, E.; Wahyuningrum, N.; Purwanto; et al. Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review. Sustainability 2022, 14, 9997. https://doi.org/10.3390/su14169997

AMA Style

Basuki TM, Nugroho HYSH, Indrajaya Y, Pramono IB, Nugroho NP, Supangat AB, Indrawati DR, Savitri E, Wahyuningrum N, Purwanto, et al. Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review. Sustainability. 2022; 14(16):9997. https://doi.org/10.3390/su14169997

Chicago/Turabian Style

Basuki, Tyas Mutiara, Hunggul Yudono Setio Hadi Nugroho, Yonky Indrajaya, Irfan Budi Pramono, Nunung Puji Nugroho, Agung Budi Supangat, Dewi Retna Indrawati, Endang Savitri, Nining Wahyuningrum, Purwanto, and et al. 2022. "Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review" Sustainability 14, no. 16: 9997. https://doi.org/10.3390/su14169997

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