Abstract
Community science (CS), a type of community-based participatory research, plays a crucial role in advancing wide-reaching environmental education and awareness by leveraging the collective power of volunteer participants who contribute to research efforts. The low barriers of entry and well-established methods of participatory monitoring have potential to enable community participant involvement in applications of nature-based solutions (NbS). However, a better understanding of the current state of community-based approaches within NbS could improve feasibility for researchers and practitioners to implement community-based approaches in NbS. Based on the current literature, we discern five community science approaches that support NbS: (1) Environmental monitoring to determine baseline conditions; (2) Involvement of participants in NbS development and planning through discussions and workshops (i.e., co-design of NbS); (3) Using existing CS databases to support NbS design and implementation; (4) Determining the impacts and measuring effectiveness of NbS; and (5) Participation in multifunctional activities. While there are various avenues of participation, we find that CS-driven environmental monitoring (i.e., actions that involve observing, measuring, and assessing environmental parameters and conditions over time) emerges as a cornerstone of planning, implementing, and maintaining the success of NbS. As the proliferation of NbS implementation continues, future work to integrate community-based monitoring studies in NbS applications has potential, albeit far from guaranteed, to improve place-based and local societal and ecological outcomes.
1. Introduction
Given the growing accessibility of communication, technology, and promotion of environmental sustainability, citizen or community science (CS) emerges as an appealing and multifunctional approach to conservation and restoration initiatives. In the context of nature-based solutions (NbS)—a concept that focuses on leveraging natural ecosystems to tackle environmental and social issues—it is important to actively engage the public or community members (i.e., affected parties) in assessing the viability and implementing these solutions. This engagement not only gives the public a voice in decisions that impact them directly but positions them at the center of the process rather than merely at the receiving end. Modern CS approaches have been encouraged in many scientific disciplines, enabling large-scale data collection [1] while supporting public scientific education, environmental stewardship [2], and creating opportunities to engage with local communities who are often the recipients of benefits (e.g., provisioning of food and water, regulating natural hazards, protection of cultural heritage, and maintaining biodiversity) from the ecosystem (also termed as ecosystem services) [3]. The terms “citizen science” and “community science” are intertwined. “Citizen science” typically describes projects that benefit scientists (i.e., aims to answer research questions), while “community science” may be better suited to grassroots projects that benefit community members (i.e., solving problems identified by communities) [4]. The emphasis of community science is on building relationships, fostering trust, and empowering communities. This type of engagement is developed to address local concerns and leverages the knowledge and resources within a specific community to contribute to scientific inquiry. While citizen science usually involves the public with a broader scope of participation, both citizen and community science may include participants of various backgrounds and levels of expertise and can make meaningful contributions to scientific research. In the context of this review, we consider both terms interchangeable and functioning to democratize science and address real-world issues through participation and scientific literacy. The term “community science” (CS) will be used hereinafter as both unless a specific distinction is required in presented cases/methods. Here, we look to Bonney, Ballard [5] to distinguish CS forms of engagement as follows:
- (1)
- Contributory projects (where scientists design and citizens contribute);
- (2)
- Collaborative projects (where scientists design, citizens contribute data, refine project design, analyze data, and/or disseminate findings); and
- (3)
- Co-created projects (where scientists and the public work together, and some public participants have a more active role throughout the scientific process).
The third form of engagement, co-creation, provides an equal platform of inquiry and creativity between citizens and scientists in developing solutions for environmental restoration efforts and creates more buy-in among local stakeholders [3,6]. Adoption of co-creation in NbS projects can result in a wide range of public understanding impacts [2], providing a conduit for knowledge sharing and education between scientists, governance and policy actors, organizations, and community members. Collective actions and responsibilities developed through community-based monitoring (CBM) and participatory research can decolonize conventional relationships between university researchers and Indigenous communities [7]. CBM has been used as a tool for asserting Indigenous sovereignty and jurisdiction, enabling the practice of stewardship and data gathering related to water quality [8], fish toxicology [9], and biodiversity and land change [10], which can inform planning and decision-making around NbS. As stewards of the land, Indigenous peoples and local communities hold knowledge that can support positive and lasting NbS outcomes [11].
Growth and interest in CS initiatives reflect a strong societal interest in actively contributing to knowledge creation and decision-making [12]. Advancements in user-friendly monitoring tools and technologies (e.g., in visual observation through photography, videography, and remote sensing), proliferation of public environmental education, and the numerous forms of participation have revolutionized CS [13]. While it is a means for overcoming data scarcity [14], CS is also often a path for exposure to social activity in the natural environment, and it is an effective way to engage individuals and communities [15] alongside developing changes in attitudes and behaviors that positively impact environmental conservation [16]. Increasing technical and technological competency is expected to advance possibilities in community-based approaches, which, in turn, can lead to a greater adoption of CS. For instance, the use of DNA source tracking in recreational water monitoring (which typically requires scientific expertise and lab resources) shows high reproducibility between non-expert field users and expert laboratory results [17]. While the growth of CS has been observed largely through ecological monitoring with the help of online data collection platforms (e.g., iNaturalist.org, WaterRangers.com), the contributions of CS for various applications of NbS have not been formally presented in a way that can facilitate the use of applications/methods for citizens and community groups.
While many in the scientific, political, and public citizen communities are enthusiastic about the concept of NbS, there is known to be a “general lack of understanding of the multiple benefits” of NbS [18], potentially leading to confusion or greenwashing on the NbS concept. Hence, there is an invaluable opportunity to support communities by listening, taking direction, and learning from historical and current ecological and social contexts before pursuing more complex NbS implementation (i.e., green infrastructure design) that increases public awareness, and along the ladder of participation [19], consultation (inviting citizen’s opinions) and partnership (sharing decision-making responsibilities). To date, the authors have not found a literature review examining the use of CS in various types of NbS. In the context of NbS, the range of participation in CS projects can vary, from collecting input and opinions from the public to understand the implications of NbS for day-to-day lives (e.g., measuring ecosystem services that improve human health, such as improved water or air quality, or cultural services such as esthetic green space), planting native tree and plant species to support local biodiversity, to using complex monitoring tools and technologies (e.g., hydrological monitoring, environmental DNA collection, etc.). Examples of intensive community participation extend from monitoring wildlife [20,21] and environmental parameters like soil and water quality [22,23], to understanding the perceived benefits of biodiversity conservation [24], all of which are ways to monitor ecosystem health (i.e., biodiversity, physical and chemical environment, human wellbeing, etc.). This narrative review aims to highlight CS as a driver for NbS implementation and development. The growing interest among community members in participating in scientific inquiry and investigations serves as a catalyst for the advancement of NbS, ultimately addressing the societal challenges that directly impact communities. This review also proposes a range of potential CS environmental monitoring methods that can be used through CS to evaluate the success of NbS. We aim to provide context and considerations for community groups and participants of community science on their role for NbS planning and implementation.
1.1. Considering CS in NbS Typologies
When examining NbS, which cover a broad spectrum of approaches and strategies, various typologies offer granularity and flexibility to examine how major societal challenges can be addressed by working with ecosystems [25], whether it is through management approaches established using policy and legislation (e.g., establishing protected areas) or grassroots conservation initiatives (e.g., community-based reforestation and urban greening). While the concept of ecosystem services and NbS (particularly when looking at how NbS can address societal challenges) can be critiqued as anthropocentric [26], we promote the immense role of people (as both positive contributors and beneficiaries) to the natural environment. NbS offer a range of sustainability benefits that aim to reduce the consumption of natural capital which allows for both economic development and ecosystem stewardship [27]. Current research is limited to examining levels of participation in NbS [28,29] and overlooks CS as a critical component of NbS. It is important to identify success factors for designing stakeholder engagement methods that are appropriate for the local environment and recognize the use of local inputs for decision-making [30]. Here, we utilize two common NbS typologies to examine potential CS activities that can be integrated in existing frameworks.
1.1.1. The Role of CS in the NbS Interventional Typology
The typology presented by Eggermont et al. [31] is commonly used in NbS guides (e.g., ThinkNature Nature-based Solutions Handbook [32], IUCN Global Standard for Nature-based Solutions [33]) to classify solutions based on the level of engineering or management applied (x-axis), the number of ecosystem services and stakeholder groups impacted, and the maximization of the delivery of key ecosystem services (y-axis) (Figure 1). The definition and examples of the three NbS types of Eggermont et al. are presented below and are related to CS examples in the following text.
Figure 1.
Examples of CS activities that support types of nature-based solutions. Adapted from Eggermont et al. [31].
Type 1 “consists of no or minimal intervention in ecosystems, with the objectives of maintaining or improving the delivery of a range of ES both inside and outside of these preserved ecosystems”. For example, climate resilient coastal mangrove protection to provide benefits and opportunities to local populations [34]; and the establishment of marine or forest protected areas to conserve biodiversity within these areas.
Type 2 “corresponds to the definition and implementation of management approaches that develop sustainable and multi-functional ecosystems and landscapes (extensively or intensively managed), which improves the delivery of selected ES compared to what would be obtained with a more conventional intervention”. For example, enhancing multifunctionality of agricultural landscapes; enhancement of tree species and genetic diversity to increase forest resilience to extreme events; approaches related to concepts of agroecology and natural systems agriculture; and invasive plant management approaches [35].
Type 3 “consists of managing ecosystems in very intrusive ways or even creating new ecosystems”. This type is “linked to objectives like restoration of heavily degraded or polluted areas”. For example, artificial ecosystems with new assemblages of organisms for green roofs and walls to mitigate city warming and clean polluted air; and novel approaches such as animal-aided design which aims to to bridge the gap between biodiversity conservation and landscape architecture [31].
This proposed typology suggests that as efforts aim to target a greater number of services and stakeholder groups (such as local government and residents, academics, and environmental groups/organizations), the ability to maximize the delivery of each service decreases, alongside the challenge of meeting the specific needs of all stakeholder groups simultaneously. From this classification, we posit that the consideration of CS is crucial in increasing the number of services and stakeholders impacted and influencing both the maximization of delivery of key services and the level and type of engineering biodiversity/ecosystems. For example, we expect that incorporating CBM and involving residents in the design and construction of urban green infrastructure (considered a Type 3 NbS) will increase the number of services (e.g., cultural services such as supporting public awareness and knowledge on ecosystem processes) and stakeholders impacted, further maximize delivery of services (e.g., community participants can receive and contribute to the development of provisioning and cultural services than would otherwise occur if no participants were involved), and have an influence on the type of biodiversity engineering being considered. On the opposite end of the range, integrating community partners’ perceptions, observations, and visions (or envisioned ideals) of threatened species to establish a forest protection area (considered a Type 1 NbS) further maximizes services such as spiritual and religious values (e.g., sacred forests and landmarks), and habitat provision (e.g., diverse habitats supporting wildlife); inspires opportunities and plans for ecological engineering (e.g., bioremediation of contaminated areas); and increases the number of stakeholders impacted through community engagement.
1.1.2. Typology Considering NbS Benefits and Functions
Anderson and Gough’s [36] typology classifies five approaches that consider the benefits and functions of various NbS based on the United Nations Sustainable Development Goals (UN SDGs): (1) ecosystem-based protection approaches, (2) ecosystem restoration approaches, (3) issue-specific ecosystem-related approaches, (4) infrastructure-related approaches, and (5) ecosystem-based management approaches. Functions for specific examples of NbS within these five categories are examined, and the UN SDGs are presented as a potential measure for success. Here, we present potential CS actions that can function to enhance these five NbS approaches:
- A.
- Ecosystem-based Protection Approaches (e.g., area-based conservation, protected area management):
- Monitoring and Surveillance: Engaging local communities in monitoring and surveillance activities can help detect environmental changes early, such as habitat degradation, and invasive species.
- Advocacy and Policy Support: Community scientists can advocate for policy changes based on data collected, supporting conservation initiatives and protected area management.
- B.
- Ecosystem Restoration Approaches (e.g., ecological restoration, ecological engineering, forest landscape restoration):
- Data Collection and Analysis: Community scientists can assist in collecting data on biodiversity, soil health, and water quality to evaluate the success of restoration efforts.
- Implementation and Maintenance: Involving local communities in restoration projects promotes stewardship and ensures long-term sustainability of restored ecosystems.
- C.
- Issue-specific Ecosystem-related Approaches (e.g., ecosystem-based adaptation, ecosystem-based mitigation, ecosystem-based disaster risk management):
- Targeted Data Collection: Community scientists can target specific issues such as air or water pollution by collecting data on pollutant levels in collaboration with scientific experts.
- Education and Awareness: CS programs can educate and raise awareness among local communities about the importance of ecosystems and their role in providing protection against natural hazards and disasters.
- D.
- Infrastructure-related Approaches (e.g., natural infrastructure, green infrastructure):
- Green Infrastructure Monitoring: CS can monitor the effectiveness of green infrastructure projects (e.g., green roofs, rain gardens) in mitigating urban heat islands or reducing stormwater runoff.
- Community Engagement in Design: Involve community scientists in the planning and design stages of infrastructure projects to ensure they meet local needs and maximize ecological benefits.
- E.
- Ecosystem-based Management Approaches (e.g., integrated coastal zone management, integrated water resources management):
- Local or Traditional Ecological Knowledge: Indigenous peoples and local community participants often possess local or traditional ecological knowledge that can complement scientific research and inform management decisions.
- Participatory Decision-making: Engaging communities in monitoring and decision-making processes fosters trust and ensures that management strategies align with local priorities.
1.2. The Role of CS in the NbS Co-Benefits Framework
A common characteristic associated with many definitions of NbS is the provision of co-benefits, such as “the improvement of place attractiveness, of health and quality of life, and creation of green jobs” [37]. A seven-stage process to situate co-benefits within policy and project implementation is presented by Raymond, Frantzeskaki [37], which includes the following: (1) Identify problem or opportunity; (2) Select and assess NbS and related actions; (3) Design NBS implementation processes; (4) Implement NbS; (5) Frequently engage stakeholders and communicate co-benefits; (6) Transfer and upscale NbS; and (7) Monitor and evaluate co-benefits across all stages. While it is possible to connect community approaches in each of these stages (e.g., collecting community input in determining problems or opportunities for stage 1, or engaging community members on understanding and monitoring co-benefits across multiple stages for stages 5 and 7), we are in the early stages of defining the real co-benefits of NbS in the short and long term when involving active participation of community members. Procedures to understand how NbS work as a “complex intervention” and the “multiple co-benefits that can be leveraged if strategically applied” [36] have been studied.
Nature-based CS is a mechanism through which people can be exposed to the natural environment (NE) through “systematic, organized, and scalable activity” [15]. While not all collaborative multi-stakeholder forms of engagement will lead to enhanced ecological functions, strengthened social outcomes, such as “social learning, enhanced sense of belonging, environmental stewardship, and inclusiveness and equity”, are examples of benefits from deeper forms of engagement, which is often what NbS set out to have [29]. Active and passive (e.g., reflective activities) CS participation in NbS may provide pathways to supporting socially deprived communities, developing social cohesion, while creating positive returns for nature [38]. Insights on participatory components of environmental and nature-based CS initiatives established in the last two decades indicate that the main driver of CS initiatives for NbS are through academic institutions and that the expansion of digital technologies will improve the control and quality of data collection by community participants [39]. Exploring these established and evolving participatory methods can help overcome obstacles in designing and implementing NbS.
2. Methods
We conducted a narrative literature review to identify common CS approaches in existing NbS publications. We extracted the literature from the two databases to include scientific articles with titles and abstracts containing the keywords “nature-based solutions” and a number of community science terms, such as “community science”, “participatory monitoring”, and “community-based monitoring” (see search criteria in Supplementary Materials). The literature from the databases was also scanned based on common examples and approaches of NbS published in the literature from the International Union for Conservation of Nature (IUCN).
Based on the review of paper abstracts, we selected 19 case examples to represent what we propose are five overarching CS approaches observed in the NbS-related literature (Table S1, Supplementary Materials). Having examined the literature, we expected the intersection of CS and NbS to primarily feature participatory monitoring studies. Accordingly, 61 studies that relate environmental monitoring (categorized into biodiversity-, water-, and soil-related studies) to types of NbS were isolated and presented.
Lastly, we propose how CS activities can be used as metrics for NbS success and in addressing societal challenges. We provide specific links to individual resources for these NbS success metrics in Table S1 (Supplementary Materials) to promote the use of CS in NbS. This narrative review highlights existing approaches for CS in NbS, asserting the necessity of community-based approaches to advance the development, implementation, and, ultimately, the success of NbS.
3. Results and Discussion
3.1. The Use of CS in NbS Planning and Implementation
The use of CS in NbS has been demonstrated to create positive outcomes by fostering public education [29,40], increasing buy-in from citizens on environmental stewardship [41,42] and supporting professional scientists in accomplishing research methods that are otherwise cost-prohibitive [43,44]. The opportunities to involve CS in NbS projects are as wide as the possibilities of NbS designs and programs as reflected in our search. By connecting the term “nature-based solutions” with terms associated with CS, we present five overarching CS approaches used in NbS, as exemplified by twenty studies. We also determine the stage(s) of NbS planning and implementation that the CS approach aligns with (i.e., identification of challenges that NbS can address, creating visions and scenarios using NbS to address challenges, and realizing NbS and monitoring outcomes) [45] (Table 1). The five approaches of CS used in planning and implementation of NbS that we have identified emerge from the current literature and are described in the following Section 3.1.1, Section 3.1.2, Section 3.1.3, Section 3.1.4 and Section 3.1.5.
Table 1.
CS approaches used in NbS.
3.1.1. Environmental Monitoring to Determine Baseline Conditions
Monitoring baseline environmental parameters is the most common function of CS programs. Determining the effectiveness of an NbS requires a baseline of human wellbeing and biodiversity benefits, to understand if societal challenges are being addressed. Some outlined cases indicate the use of CS to gather vegetation and forest data, watershed quality data, flood levels, and species richness, which all play a role in evaluating impacts to the ecosystem. CS approaches for monitoring have led to the development of management guidelines that can be considered Type 2 NbS. For instance, Noël et al. [51] investigated pollinator species using a citizen science approach to develop management guidelines to support nesting species in urbanized areas. Monitoring approaches play a key role in challenge identification and can be used for improvement of ecosystem services after implementation of NbS (more on this in Section 3.1.4). In some cases, simple citizen science monitoring programs act as a catalyst for more complex scientific studies investigating NbS. In the case of Best et al. [14], investigations in urban green space cooling using CS monitoring led to the mitigation strategy development of heat-related health risks in the tropics. While more resources may be required to organize involvement for CSs, community-based data collection through environmental monitoring approaches may create the most opportunities for participants to raise awareness and develop visions and ideas of NbS [48].
3.1.2. Involvement of Participants in NbS Development and Planning Through Discussions and Workshops (Co-Designing Processes)
The involvement of participants in NbS development and planning is often presented as community mapping, workshopping, and involves creative outputs of community members. Utilizing the knowledge of community members who are directly impacted by potential NbS programs and creating community-driven visions facilitate identification of existing societal challenges that proposed NbS may address. These co-creative processes foster innovation by recognizing the needs and expectations of impacted community members. Engagement may also identify community preferences in prioritizing a range of solutions, from highly engineered solutions to nature-based solutions [63].
3.1.3. Using Existing CS Databases to Support NbS Design and Implementation
Numerous publicly available citizen science databases exist, namely for biodiversity monitoring (e.g., eBird, iNaturalist, The Great Backyard Bird Count), weather observation (e.g., Citizen Weather Observer Program (CWOP), Old Weather, ClimateScan, Community Collaborative Rain, Hail & Snow Network (CoCoRaHS)), air quality (e.g., AirVisual Earth), land cover and use (e.g., GLOBE Observer, Land Cover Classification System (LCCS), OpenStreetMap (OSM), Mapillary), and water quality and quantity parameters (e.g., Lake Observations by Citizen Scientists & Satellites (LOCSS), Surfrider Foundation’s Blue Water Task Force, The Riverkeeper Network, The Global rivers Environmental Education Network (GREEN), World Water Monitoring Challenge). These public databases and volunteer-led programs provide a significant resource for baseline environmental measurements that can support identification of societal challenges that NbS can address. Despite not directly working with community participants, researchers have used these databases to develop models to inform place-based conservation prioritization [56] and create avenues to increase awareness for water conservation and management [57]. Studies that have used CS databases and platforms stimulate stakeholder engagement and NbS promotion.
3.1.4. Monitoring Effectiveness of NbS Infrastructure, Soliciting Feedback from Community Members on Impacts of NbS
Community members are integral to assessing the impacts and success of implementing nature-based solutions (NbS) because they directly experience the benefits of NbS initiatives. Typically, the proximity of community members to realized NbS, such as urban green infrastructure, facilitates a more accessible assessment of the benefits for those affected. Involving community participants in monitoring and evaluation of NbS can develop continuous buy-in and spark co-creation opportunities [11]. Volunteer-based identification and mapping of urban green infrastructure (GI) using a smartphone application [58], as well as monitoring GI status through discrete measurements (e.g., infiltration tests) and more complex sensor systems [64] demonstrate key activities in ensuring effective NbS. Wild, Dempsey [59] highlight the role of volunteered information in understanding local activities and contexts to support future NbS applications. CS has also been used as a tool to facilitate exposure to the natural environment in urban areas, potentially presenting psychological and immunological benefits [15,65,66].
3.1.5. Participation in Multifunctional Activities
While it would be ideal to implement CS throughout an NbS project to take advantage of local capacity and promote environmental stewardship and education, there are few projects that can coordinate these programs successfully. Our search indicates cases where community participants make up the primary workforce for the planned and implemented NbS. As such, participants were not only involved in the planning and consultation stages, but also in its construction and maintenance. Some projects rely on local and generational expertise to construct NbS structures [62], while some have integrated CS to include prototype creation, field measurements, and mentorship programs [60]. Intensive community participation throughout an NbS project also allows opportunities to engage in a broader range of disciplines and can cater to the interests of various participants. One CS program found success by incorporating social and cultural events, and opportunities for scientific data collection, resulting in the development of a policy recommendation regarding phytoremediation [61].
3.2. Expanding on Types of Environmental Monitoring Through CS to Enhance NbS Planning and Implementation
In the previous section of this paper, we found that environmental monitoring emerges as a prevalent participatory activity in the reviewed NbS literature. The next stage of this review identifies themes of environmental monitoring that can inform types of NbS based on the considerations of engineering or management applied to biodiversity and ecosystems, the range of ecosystem services to be delivered, the number of stakeholder groups involved, and the expected delivery of targeted ecosystem service, as presented by Eggermont et al. [31]. We present published CS studies into common themes of biodiversity monitoring, soil-related monitoring, and water-related monitoring, based on their prevalence in the reviewed literature (Figure 2). Considering the relevant role of environmental monitoring and the importance of determining a baseline of observable parameters in the literature, we set out to characterize the common themes and examples of participatory environmental monitoring. When we mapped NbS CS approaches to the Eggermont et al.’s typology, we determined that each CS plays a role in all types of NbS (Figure 2).
Figure 2.
Various monitoring techniques play a role across all types of NbS applications. Biodiversity-related monitoring is the most prevalent in the literature where NbS and CS intersect, followed by water- and soil/land-related monitoring.
For example, in the case of a Type 3 NbS, green infrastructure or artificial ecosystem development (e.g., living docks, oyster gardens, and artificial shorelines), CS that can support effective application of the NbS will benefit from measuring species richness of a water ecosystem (biodiversity monitoring) and measuring aquatic biological indicators through invertebrate sampling, benthic algal growth, and benthic oxygen demand (water-related monitoring). The localized nature of implementing increasingly engineered solutions alongside maximizing delivery of key services may explain why more CS monitoring functions support Type 3 NbS. Specialized monitoring and CS projects particularly targeting urban areas, which are often features of Type 3 NbS, promote early detection and rapid response processes to new species invasions in populated areas [67].
In the case of a Type 2 NbS, the example of adaptive forestry or innovative agricultural management (e.g., eliminating invasive plant species and diversifying vegetation for cattle to support landscape ecosystems), habitat, and physical environmental parameters like soil decomposition rates (soil-related monitoring) are opportunities that can effectively support development of adaptive forestry and have been performed by community scientists. While there are disciplines with more established frameworks for public participation such as biodiversity and water quality monitoring, topics such as forest monitoring have limited CS frameworks [68]. As the level and type of engineering of biodiversity/ecosystems increase, as per Eggermont et al.’s (2015) NbS typology [31], there appear to be more opportunities to implement approaches from the three citizen science monitoring examples listed. For example, in the case of green stormwater infrastructure as an NbS, we expect many opportunities in all three themes of monitoring, from determining species richness, enabling reintroduction of native species, to monitoring the water quantity and quality of runoff and physical soil characteristics for potential built interventions. This increase in opportunities for CS aligns with the proposed increased number of services and stakeholder groups involved the further away you are from a Type 1 NbS.
While what is presented is just a present glimpse of CS monitoring techniques related to publications on the term “nature-based solutions”, it serves to present potential monitoring opportunities for themes that have not presented as many cases (i.e., soil/land-related monitoring) and that should be adapted to further support the planning or implementation of NbS.
3.3. Participatory Monitoring as a Factor of Success for NbS
With increasing opportunities to involve CS in NbS implementation, it will be valuable to recognize and determine these successes or impacts of community participation. The IUCN offers eight criteria to evaluate the desired outcomes of NbS in solving one or several societal challenges [33], and here, we have selected to examine the first criterion as it is in line with the prevailing definition of NbS and positions the use of CS to assess the success of the solutions.
Criterion 1: NbS effectively address societal challenges, i.e., the selection process of NbS is according to the societal challenges (such as water security, food security, human health, disaster risk management, and climate change) they are meant to address and includes their benchmarking and periodical assessment.
Community involvement and participation can be a fundamental component in determining how societal challenges are addressed by NbS, considering that community participants are likely to be directly affected (either negatively or positively) by NbS. Based on the identified societal challenges, as presented in the IUCN Global Standard [33], we present a non-comprehensive list of NbS success metrics that can be supported by CS approaches (Table 2). The authors note that the examples of CS approaches can also be examined based on their feasibility in application (i.e., if the method is feasible based on a wide range of suitable participants, technical or procedural complexity, or financial resources required for a method). We find that the success of NbS in addressing a range of societal challenges can be examined with the use of CS approaches.
Table 2.
Non-comprehensive list of measurable success metrics using CS to address societal challenges. NbS success metrics are not exclusive to one type of social challenge and may overlap with one another (e.g., water quality metrics may be evaluated to address the societal challenge of water and food security and climate change). See Table S2 (Supplementary Materials) for weblinks to CS examples and resources.
Direct impacts to human health in the form of both psychological and physiological impacts [69], known impacts (e.g., stress and depression) and the mechanisms that modify these impacts, such as accessibility to NbS sites, nature views, or noise pollution, are expected to result in more direct impacts in the form of being able to take responsibility for these positive changes. “[CS] approaches may also have broader impacts, such as increasing science literacy and the likelihood that participants engage in pro-environmental activities” [70].
While there are no conclusive trials, we demonstrate the availability of CS resources and techniques accessible through the internet and provide direction on a range of CS avenues to assess NbS success. The ease of access to participatory monitoring serves as a primary incentive for integrating CS into NbS planning and implementation, in addition to enhancing community connections and sense of place. CS enables local participants to bring into effect global changes and builds awareness and capacity to gradually address complex societal challenges [71]. Alternatively, examining the capacity of community participants based on access to training and material resources of the CS examples presented in Table 2 is one way to determine which technique applies for NbS initiatives that address societal challenges.
4. Conclusions
As nature-based solutions gain traction in government strategies for sustainable development, there will be a stronger reliance on CS to address the limitations of financial and human resources. The rise in environmental awareness and education is anticipated to further drive public motivation to embrace nature-based approaches. Here, we examined the current role of community in supporting the development and implementation of NbS and identified environmental monitoring as the gateway to advance NbS. We discerned a predominant focus on biodiversity monitoring, followed by water- and soil-related assessments. By prioritizing these monitoring efforts, stakeholders can glean vital insights into ecosystem health, track the effectiveness of interventions, and ensure the long-term sustainability of NbS. CS proves an invaluable step to supporting the multifunctionality of NbS.
The efficacy of NbS hinges upon the integration of CS methods at different stages of their implementation. From establishing baseline environmental parameters to engaging stakeholders in co-design processes, leveraging citizen science tools, monitoring infrastructure effectiveness, and fostering continuous community participation, these approaches collectively enhance the promotion, implementation, and assessment of NbS initiatives. By embracing these participatory methods, stakeholders can foster sustainable solutions that address societal challenges while promoting community engagement and empowerment in environmental conservation efforts.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su162310415/s1.
Author Contributions
Conceptualization, L.P.B.C.; methodology, L.P.B.C.; validation, L.P.B.C.; formal analysis, L.P.B.C.; investigation, L.P.B.C.; writing—original draft preparation, L.P.B.C.; writing—review and editing, L.P.B.C., K.L.D., M.A. and G.B.; visualization, L.P.B.C.; supervision, K.L.D.; project administration, K.L.D.; funding acquisition, K.L.D. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Environment and Climate Change Canada grant EDF-CA-2020j005.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Van Brussel, S.; Huyse, H. Citizen science on speed? Realising the triple objective of scientific rigour, policy influence and deep citizen engagement in a large-scale citizen science project on ambient air quality in Antwerp. J. Environ. Plan. Manag. 2018, 62, 534–551. [Google Scholar] [CrossRef]
- Bonney, R.; Phillips, T.B.; Ballard, H.L.; Enck, J.W. Can citizen science enhance public understanding of science? Public Underst. Sci. 2016, 25, 2–16. [Google Scholar] [CrossRef] [PubMed]
- Kral, R.M.; Maftukhah, R.; Mentler, A.; Murtiningrum, M.; Ngadisih, N.; Keiblinger, K.M. Citizen science in the field: Co-experimentation at pilot scale for sustainable use of natural resources. Sustainability 2020, 12, 7700. [Google Scholar] [CrossRef]
- Lin Hunter, D.E.; Newman, G.J.; Balgopal, M.M. What’s in a name? The paradox of citizen science and community science. Front. Ecol. Environ. 2023, 21, 244–250. [Google Scholar] [CrossRef]
- Bonney, R.; Ballard, H.; Jordan, R.; McCallie, E.; Phillips, T.; Shirk, J.; Wilderman, C.C. Public Participation in Scientific Research: Defining the Field and Assessing Its Potential for Informal Science Education. A CAISE Inquiry Group Report. Online Submiss. 2009. [Google Scholar]
- Nunes, N.; Björner, E.; Hilding-Hamann, K.E. Guidelines for citizen engagement and the co-creation of nature-based solutions: Living knowledge in the URBiNAT project. Sustainability 2021, 13, 13378. [Google Scholar] [CrossRef]
- Denzin, N.K.; Lincoln, Y.S.; Smith, L.T. Handbook of Critical and Indigenous Methodologies; Sage: Southend Oaks, CA, USA, 2008. [Google Scholar]
- Wilson, N.J.; Mutter, E.; Inkster, J.; Satterfield, T. Community-Based Monitoring as the practice of Indigenous governance: A case study of Indigenous-led water quality monitoring in the Yukon River Basin. J. Environ. Manag. 2018, 210, 290–298. [Google Scholar] [CrossRef] [PubMed]
- Brunet, N.D.; Jardine, T.D.; Jones, P.D.; Macdermid, F.; Reed, G.; Bogdan, A.-M.; Tchir, D.R.; Natcher, D.C. Towards indigenous community-led monitoring of fish in the oil sands region of Canada: Lessons at the intersection of cultural consensus and fish science. Extr. Ind. Soc. 2020, 7, 1319–1329. [Google Scholar] [CrossRef]
- Wiseman, N.D.; Bardsley, D.K. Monitoring to Learn, Learning to Monitor: A Critical Analysis of Opportunities for I ndigenous Community-Based Monitoring of Environmental Change in Australian Rangelands. Geogr. Res. 2016, 54, 52–71. [Google Scholar] [CrossRef]
- Brill, G.; Carlin, D.; McNeeley, S.; Griswold, D. Stakeholder Engagement Guide for Nature-Based Solutions; United Nations CEO Water Mandate and Pacific Institute: Oakland, CA, USA, 2022; Available online: https://ceowatermandate.org/nbs/wp-content/uploads/sites/41/2022/11/CEOWater_SEG_F2.pdf (accessed on 24 August 2024).
- Robinson, L.D.; Cawthray, J.L.; West, S.E.; Bonn, A.; Ansine, J. Ten principles of citizen science. In Citizen Science: Innovation in Open Science, Society and Policy; UCL Press: London, UK, 2018; pp. 27–40. [Google Scholar]
- Mazumdar, S.; Ceccaroni, L.; Piera, J.; Hölker, F.; Berre, A.; Arlinghaus, R.; Bowser, A. Citizen Science Technologies and New Opportunities for Participation; UCL Press: London, UK, 2018. [Google Scholar]
- Best, L.; Schwarz, N.; Obergh, D.; Teuling, A.; Van Kanten, R.; Willemen, L. Urban green spaces and variation in cooling in the humid tropics: The case of Paramaribo. Urban For. Urban Green. 2023, 89, 128111. [Google Scholar] [CrossRef]
- Williams, C.R.; Burnell, S.M.; Rogers, M.; Flies, E.J.; Baldock, K.L. Nature-based citizen science as a mechanism to improve human health in urban areas. Int. J. Environ. Res. Public Health 2022, 19, 68. [Google Scholar] [CrossRef] [PubMed]
- Santori, C.; Keith, R.J.; Whittington, C.M.; Thompson, M.B.; Van Dyke, J.U.; Spencer, R.J. Changes in participant behaviour and attitudes are associated with knowledge and skills gained by using a turtle conservation citizen science app. People Nat. 2021, 3, 66–76. [Google Scholar] [CrossRef]
- Rudko, S.P.; Reimink, R.L.; Peter, B.; White, J.; Hanington, P.C. Democratizing water monitoring: Implementation of a community-based qPCR monitoring program for recreational water hazards. PLoS ONE 2020, 15, e0229701. [Google Scholar] [CrossRef] [PubMed]
- Restemeyer, B.; Boogaard, F.C. Potentials and pitfalls of mapping nature-based solutions with the online citizen science platform climatescan. Land 2021, 10, 5. [Google Scholar] [CrossRef]
- Arnstein, S.R. A ladder of citizen participation. J. Am. Plan. Assoc. 2019, 85, 24–34. [Google Scholar] [CrossRef]
- Gibson, M.; Maron, M.; Taws, N.; Simmonds, J.S.; Walsh, J.C. Use of citizen science datasets to test effects of grazing exclusion and replanting on Australian woodland birds. Restor. Ecol. 2022, 30, e13610. [Google Scholar] [CrossRef]
- Strohbach, M.W.; Lerman, S.B.; Warren, P.S. Are small greening areas enhancing bird diversity? Insights from community-driven greening projects in Boston. Landsc. Urban Plan. 2013, 114, 69–79. [Google Scholar] [CrossRef]
- D’Alessio, M.; Rushing, G.; Gray, T.L. Monitoring water quality through citizen science while teaching STEM undergraduate courses during a global pandemic. Sci. Total Environ. 2021, 779, 146547. [Google Scholar] [CrossRef]
- Pudifoot, B.; Cárdenas, M.L.; Buytaert, W.; Paul, J.D.; Narraway, C.L.; Loiselle, S. When It Rains, It Pours: Integrating Citizen Science Methods to Understand Resilience of Urban Green Spaces. Front. Water 2021, 3, 654493. [Google Scholar] [CrossRef]
- Hausmann, A.; Slotow, R.; Burns, J.K.; Di Minin, E. The ecosystem service of sense of place: Benefits for human well-being and biodiversity conservation. Environ. Conserv. 2016, 43, 117–127. [Google Scholar] [CrossRef]
- Cohen-Shacham, E.; Walters, G.; Janzen, C.; Maginnis, S. Nature-based solutions to address global societal challenges. IUCN Gland Switz. 2016, 97, 2016–2036. [Google Scholar]
- Schröter, M.; Van der Zanden, E.H.; van Oudenhoven, A.P.; Remme, R.P.; Serna-Chavez, H.M.; De Groot, R.S.; Opdam, P. Ecosystem services as a contested concept: A synthesis of critique and counter-arguments. Conserv. Lett. 2014, 7, 514–523. [Google Scholar] [CrossRef]
- Dekker, I.; Sharifyazd, S.; Batung, E.; Dubrawski, K.L. Maximizing Benefits to Nature and Society in Techno-Ecological Innovation for Water. Sustainability 2021, 13, 6400. [Google Scholar] [CrossRef]
- Puskás, N.; Abunnasr, Y.; Naalbandian, S. Assessing deeper levels of participation in nature-based solutions in urban landscapes—A literature review of real-world cases. Landsc. Urban Plan. 2021, 210, 104065. [Google Scholar] [CrossRef]
- Kiss, B.; Sekulova, F.; Hörschelmann, K.; Salk, C.F.; Takahashi, W.; Wamsler, C. Citizen participation in the governance of nature-based solutions. Environ. Policy Gov. 2022, 32, 247–272. [Google Scholar] [CrossRef]
- d’Hont, F.M.; Slinger, J.H. Including local knowledge in coastal policy innovation: Comparing three Dutch case studies. Local Environ. 2022, 27, 897–914. [Google Scholar] [CrossRef]
- Eggermont, H.; Balian, E.; Azevedo, J.M.N.; Beumer, V.; Brodin, T.; Claudet, J.; Fady, B.; Grube, M.; Keune, H.; Lamarque, P.; et al. Nature-based Solutions: New Influence for Environmental Management and Research in Europe. GAIA—Ecol. Perspect. Sci. Soc. 2015, 24, 243–248. [Google Scholar] [CrossRef]
- Somarakis, G.; Stagakis, S.; Chrysoulakis, N.; Mesimäki, M.; Lehvävirta, S. ThinkNature Nature-Based Solutions Handbook; European Union: Brussels, Belgium, 2019. [Google Scholar]
- Andrade, A.; Cohen-Shacham, E.; Dalton, J.; Edwards, S.; Hessenberger, D.; Maginnis, S.; Maynard, S.; McElwee, P.; Murti, R.; Nelson, C. IUCN Global Standard for Nature-Based Solutions; IUCN-2020-020; IUCN: Grand, Switzerland, 2020. [Google Scholar]
- Huxham, M.; Dencer-Brown, A.; Diele, K.; Kathiresan, K.; Nagelkerken, I.; Wanjiru, C. Mangroves and people: Local ecosystem services in a changing climate. In Mangrove Ecosystems: A Global Biogeographic Perspective: Structure, Function, and Services; Springer: Cham, Switzerland, 2017; pp. 245–274. [Google Scholar]
- Gioria, M.; O’flynn, C.; Osborne, B.A. Managing invasions by terrestrial alien plants in ireland: Challenges and opportunities. Biol. Environ. 2019, 119B, 37–61. [Google Scholar] [CrossRef]
- Anderson, V.; Gough, W.A. A Typology of Nature-Based Solutions for Sustainable Development: An Analysis of Form, Function, Nomenclature, and Associated Applications. Land 2022, 11, 1072. [Google Scholar] [CrossRef]
- Raymond, C.M.; Frantzeskaki, N.; Kabisch, N.; Berry, P.; Breil, M.; Nita, M.R.; Geneletti, D.; Calfapietra, C. A framework for assessing and implementing the co-benefits of nature-based solutions in urban areas. Environ. Sci. Policy 2017, 77, 15–24. [Google Scholar] [CrossRef]
- Cárdenas, M.L.; Wilde, V.; Hagen-Zanker, A.; Seifert-Dähnn, I.; Hutchins, M.G.; Loiselle, S. The circular benefits of participation in nature-based solutions. Sustainability 2021, 13, 4344. [Google Scholar] [CrossRef]
- Vasiliades, M.A.; Hadjichambis, A.C.; Paraskeva-Hadjichambi, D.; Adamou, A.; Georgiou, Y. A Systematic Literature Review on the Participation Aspects of Environmental and Nature-Based Citizen Science Initiatives. Sustainability 2021, 13, 7457. [Google Scholar] [CrossRef]
- Ferreira, V.; Barreira, A.; Loures, L.; Antunes, D.; Panagopoulos, T. Stakeholders’ Engagement on Nature-Based Solutions: A Systematic Literature Review. Sustainability 2020, 12, 640. [Google Scholar] [CrossRef]
- van der Jagt, A.P.N.; Szaraz, L.R.; Delshammar, T.; Cvejic, R.; Santos, A.; Goodness, J.; Buijs, A. Cultivating nature-based solutions: The governance of communal urban gardens in the European Union. Environ. Res. 2017, 159, 264–275. [Google Scholar] [CrossRef]
- Scolobig, A.; Linnerooth-Bayer, J.; Pelling, M.; Martin, J.G.C.; Deubelli, T.M.; Liu, W.; Oen, A. Transformative adaptation through nature-based solutions: A comparative case study analysis in China, Italy, and Germany. Reg. Environ. Chang. 2023, 23, 69. [Google Scholar] [CrossRef]
- Jones, E.F.; Frei, R.J.; Lee, R.M.; Maxwell, J.D.; Shoemaker, R.; Follett, A.P.; Lawson, G.M.; Malmfeldt, M.; Watts, R.; Aanderud, Z.T.; et al. Citizen science reveals unexpected solute patterns in semiarid river networks. PLoS ONE 2021, 16, e0255411. [Google Scholar] [CrossRef] [PubMed]
- Paul, J.D.; Buytaert, W.; Allen, S.; Ballesteros-Cánovas, J.A.; Bhusal, J.; Cieslik, K.; Clark, J.; Dugar, S.; Hannah, D.M.; Stoffel, M. Citizen science for hydrological risk reduction and resilience building. Wiley Interdiscip. Rev. Water 2018, 5, e1262. [Google Scholar] [CrossRef]
- Albert, C.; Brillinger, M.; Guerrero, P.; Gottwald, S.; Henze, J.; Schmidt, S.; Ott, E.; Schroter, B. Planning nature-based solutions: Principles, steps, and insights. Ambio 2021, 50, 1446–1461. [Google Scholar] [CrossRef]
- Ngao, J.; Cárdenas, M.L.; Améglio, T.; Colin, J.; Saudreau, M. Implications of urban land management on the cooling properties of urban trees: Citizen science and laboratory analysis. Sustainability 2021, 13, 13656. [Google Scholar] [CrossRef]
- Lekshmi, B.; Saha, D.; Sutar, R.S.; Singh, R.; Prabhu, S.D.; Kamat, A.M.; Sharma, S.; Saxena, R.; Loiselle, S.; Asolekar, S.R. Science & technology agenda for blue-green spaces inspired by citizen science: Case for rejuvenation of powai lake. Sustainability 2021, 13, 10061. [Google Scholar] [CrossRef]
- Cendejas, J.C.; Ramírez, L.M.; Zierold, J.R.; Valenzuela, J.D.; Ibarra, M.M.; de Tagle, S.M.S.; Téllez, A.C. Evaluation of the impacts of land use in water quality and the role of nature-based solutions: A citizen science-based study. Sustainability 2021, 13, 10519. [Google Scholar] [CrossRef]
- Cariou, E.; Baltzer, A.; Leparoux, D.; Lacombe, V. Collaborative 3d monitoring for coastal survey: Conclusive tests and first feedbacks using the selphcoast workflow. Geosciences 2021, 11, 114. [Google Scholar] [CrossRef]
- Wolff, E.; Rauf, H.A.; Diep, L.; Natakun, B.; Kelly, K.; Hamel, P. Implementing participatory nature-based solutions in the Global South. Front. Sustain. Cities 2022, 4, 956534. [Google Scholar] [CrossRef]
- Noël, G.; Van Keymeulen, V.; Barbier, Y.; Smets, S.; Van Damme, O.; Colinet, G.; Lokatis, S.; Ruelle, J.; Francis, F. Nest aggregations of wild bees and apoid wasps in urban pavements: A ‘street life’ to be promoted in urban planning. Insect Conserv. Divers. 2024, 17, 396–408. [Google Scholar] [CrossRef]
- Di Grazia, F.; Gumiero, B.; Galgani, L.; Troiani, E.; Ferri, M.; Loiselle, S.A. Ecosystem services evaluation of nature-based solutions with the help of citizen scientists. Sustainability 2021, 13, 10629. [Google Scholar] [CrossRef]
- Lee, K.C.; Karimova, P.G.; Yan, S.Y.; Li, Y.S. Resilience assessment workshops: A biocultural approach to conservation management of a rural landscape in Taiwan. Sustainability 2020, 12, 408. [Google Scholar] [CrossRef]
- Abu Ali, M.; Alawadi, K.; Khanal, A. The role of green infrastructure in enhancing microclimate conditions: A case study of a low-rise neighborhood in Abu Dhabi. Sustainability 2021, 13, 4260. [Google Scholar] [CrossRef]
- Cambria, V.E.; Campagnaro, T.; Trentanovi, G.; Testolin, R.; Attorre, F.; Sitzia, T. Citizen science data to measure human use of green areas and forests in european cities. Forests 2021, 12, 779. [Google Scholar] [CrossRef]
- Beninde, J.; Delaney, T.W.; Gonzalez, G.; Shaffer, H.B. Harnessing iNaturalist to quantify hotspots of urban biodiversity: The Los Angeles case study. Front. Ecol. Evol. 2023, 11, 983371. [Google Scholar] [CrossRef]
- Boogaard, F. Climate Change Adaptation in Africa, Asia, and Europe with the Citizen Science Climate Scan Platform Promoting Nature-Based Solutions. In Handbook of Climate Change Management: Research, Leadership, Transformation; Springer: Cham, Switzerland, 2021; Volume 5, pp. 3761–3799. [Google Scholar]
- Vander Meer, E. Green Infrastructure Mapping for Adaptation, Biodiversity, and Health and Wellbeing: A Tool Development Case Study in Edinburgh. In Palgrave Studies in Sustainable Business in Association with Future Earth; Springer: Cham, Switzerland, 2022; pp. 39–62. [Google Scholar]
- Wild, T.C.; Dempsey, N.; Broadhead, A.T. Volunteered information on nature-based solutions—Dredging for data on deculverting. Urban For. Urban Green. 2019, 40, 254–263. [Google Scholar] [CrossRef]
- Andrews, L.; Mocorro Powell, A.D.; Rottle, N.; Engelke, J. Advancing equity and justice through community science programming in design, construction, and research of a nature-based solution: The Duwamish Floating Wetlands Project. Socio-Ecol. Pract. Res. 2022, 4, 377–391. [Google Scholar] [CrossRef]
- Conte, A.; Brunetti, P.; Allevato, E.; Stazi, S.R.; Antenozio, M.L.; Passatore, L.; Cardarelli, M. Nature Based Solutions on the river environment: An example of cross-disciplinary sustainable management, with local community active participation and visual art as science transfer tool. J. Environ. Plan. Manag. 2020, 66, 2388–2405. [Google Scholar] [CrossRef]
- Rahman, M.M.; Haque, A.; Nakagawa, H.; Zhang, H.; Rahman, A.; Dustegir, M.; Hossain, M.; Hussain, M.M.; Islam, J.; Hore, S.K. Sediment management using bandal-like structures as nature-based solution. Environ. Fluid Mech. 2023. [Google Scholar] [CrossRef]
- Amarakoon, V.; Dharmarathne, G.; Premasiri, R.; Mukherjee, M.; Shaw, R.; Wickramasinghe, D. Potential for the complementary and integrative use of citizen science and modern science in flood risk reduction: A case study from Sri Lanka. Int. J. Disaster Risk Reduct. 2024, 103, 104331. [Google Scholar] [CrossRef]
- Meixner, T.; Berkowitz, A.R.; Downey, A.E.; Pillich, J.; Levea, R.; Smith, B.K.; Chandler, M.; Gupta, N.; Rullman, S.; Woodroof, A.; et al. Rapid assessment and long-term monitoring of green stormwater infrastructure with citizen scientists. Sustainability 2021, 13, 12520. [Google Scholar] [CrossRef]
- Koutsovili, E.I.; Tzoraki, O.; Kalli, A.A.; Provatas, S.; Gaganis, P. Participatory approaches for planning nature-based solutions in flood vulnerable landscapes. Environ. Sci. Policy 2023, 140, 12–23. [Google Scholar] [CrossRef]
- Oral, H.V.; Carvalho, P.; Gajewska, M.; Ursino, N.; Masi, F.; Hullebusch, E.D.v.; Kazak, J.K.; Exposito, A.; Cipolletta, G.; Andersen, T.R.; et al. A review of nature-based solutions for urban water management in European circular cities: A critical assessment based on case studies and literature. Blue-Green Syst. 2020, 2, 112–136. [Google Scholar] [CrossRef]
- Hulbert, J.M.; Agne, M.C.; Burgess, T.I.; Roets, F.; Wingfield, M.J. Urban environments provide opportunities for early detections of Phytophthora invasions. Biol. Invasions 2017, 19, 3629–3644. [Google Scholar] [CrossRef]
- Daume, S.; Albert, M.; von Gadow, K. Assessing citizen science opportunities in forest monitoring using probabilistic topic modelling. For. Ecosyst. 2014, 1, 11. [Google Scholar] [CrossRef]
- Kolokotsa, D.; Lilli, A.A.; Lilli, M.A.; Nikolaidis, N.P. On the impact of nature-based solutions on citizens’ health & well being. Energy Build. 2020, 229, 110527. [Google Scholar]
- Crall, A.W.; Jarnevich, C.S.; Panke, B.; Young, N.; Renz, M.; Morisette, J. Using habitat suitability models to target invasive plant species surveys. Ecol. Appl. 2013, 23, 60–72. [Google Scholar] [CrossRef] [PubMed]
- Balian, E.; Eggermont, H.; Le Roux, X. Outputs of the strategic foresight workshop “nature-based solutions in a BiodivERsA context”. In Proceedings of the Brussels: BiodivERsA Workshop Report, Brussels, Belgium, 11 June 2014. [Google Scholar]
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