Search Results (18)

Meeting global forest restoration targets by 2030 requires a transition from labor-intensive and opaque practices to scalable, intelligent, and verifiable systems. This paper introduces a cyber–physical digital twin architecture for forest restoration, structured across four layers: (i) a Physical Layer with drones and IoT-enabled sensors for in situ environmental monitoring; (ii) a Data Layer for secure and structured transmission of spatiotemporal data; (iii) an Intelligence Layer applying AI-driven modeling, simulation, and predictive analytics to forecast biomass, biodiversity, and risk; and (iv) an Application Layer providing stakeholder dashboards, milestone-based smart contracts, and automated climate finance flows. Evidence from Dronecoria, Flash Forest, and AirSeed Technologies shows that digital twins can reduce per-tree planting costs from USD 2.00–3.75 to USD 0.11–1.08, while enhancing accuracy, scalability, and community participation. The paper further outlines policy directions for integrating digital MRV systems into the Enhanced Transparency Framework (ETF) and Article 5 of the Paris Agreement. By embedding simulation, automation, and participatory finance into a unified ecosystem, digital twins offer a resilient, interoperable, and climate-aligned pathway for next-generation forest restoration. Full article

This work presents a structured methodology for multi-hazard risk assessment in post-mining coal areas, addressing the complex interactions between natural, mining, and technological hazards. The methodology provides a flexible, semi-quantitative mixed-methods framework designed to evaluate multi-hazard risk scenarios through a seven-step process, which includes identification of hazards, analysis of hazard interactions, and calculation of the Multi-Hazard Index (MHI), Vulnerability Index (VI), and Multi-Risk Value (MRV). The MHI assesses the cumulative intensity of hazard interactions, while the MRV quantifies the socio-economic impacts of various multi-hazard scenarios. The framework also incorporates vulnerability assessments, using social and physical vulnerability indices, to better understand the potential risks to communities. The methodology aims to enhance the safety of post-mining areas by mitigating the cascading effects of hazard interactions and by systematically increasing the knowledge of hazard interdependencies. This approach is adaptable to diverse post-mining contexts, offering a comprehensive framework for assessing and managing multi-hazard risks. It aligns with the broader objectives of the European Green Deal by promoting sustainable land management and addressing the transition of coal regions toward a carbon-neutral economy. It equips stakeholders with necessary tools to enhance resilience and ensure the long-term socio-economic and environmental stability and safety of post-mining areas. Full article

The Hellenic Naval Academy (HNA) reports the latest results from a medium-range, near-maritime, free-space laser-communications-testing facility, between the lighthouse of Psitalia Island and the academy’s laboratory building. The FSO link is established within the premises of Piraeus port, with a path length of 2958 m and an average altitude of 35 m, mainly above water. Recently, the facility was upgraded through the addition of a BLS450 scintillometer, which is co-located with the MRV TS5000/155 FSO system and a WS-2000 weather station. This paper presents the preliminary optical turbulence measurements, collected from 24 to 31 of May 2022, alongside the macroscopic meteorological parameters. Four machine-learning algorithms (random forest (RF), gradient boosting regressor (GBR), single layer (ANN), and deep neural network (DNN)) were utilized for refractive-index-structural-parameter regression modeling. Additionally, another DNN was used to classify the strength level of the optical turbulence, as either strong or weak. The results showed very good prediction accuracy for all the models. Specifically, the ANN algorithm resulted in an R-squared of 0.896 and a mean square error (MSE) of 0.0834; the RF algorithm also gave a highly acceptable R-squared of 0.865 and a root mean square error (RMSE) of 0.241. The Gradient Boosting Regressor (GBR) resulted in an R-squared of 0.851 and a RMSE of 0.252 and, finally, the DNN algorithm resulted in an R-squared of 0.79 and a RMSE of 0.088. The DNN-turbulence-strength-classification model exhibited a very acceptable classification performance, given the highly variability of our target value ($C_n^2$), since we observed a predictive accuracy of 87% with the model. Full article

Marine riparian areas and coastal vegetation are essential and important to the coastal marine ecosystem, although their interactions and functions are still unknown and ignored in marine ecological studies and integrated management planning. In southeastern Brazil, allochthonous resources derived from riparian Atlantic rainforests bordering rocky shores have been observed in abundance together with the shallow subtidal rocky reef benthos. In this study, we used stable isotopes (δ¹³C and δ¹⁵N) to characterize the main components in a benthic trophic web on a shallow tropical rocky shore, to identify the proportional contributions of allochthonous (marine riparian vegetation—MRV) to autochthonous (phytoplankton and algae) inputs and to test which basal food resources contributed most to the marine community on the Atlantic Forest–rocky coast interface. We found eight major food resources and seventeen consumers that we classified into different groups according to their feeding habits and biology. Although the main source of basal resources in the benthic trophic web in the present study remained autochthonous, the allochthonous resources were assimilated by all consumers. MRV is thus an important resource for some primary consumers and it should be included as a potential source of basal resources in marine ecosystems adjacent to marine riparian areas. Full article

Community-based monitoring (CBM) is one of the- most sustainable ways of establishing a national forest monitoring system for successful Reduce Emissions from Deforestation and Forest Degradation (REDD+) implementation. In this research, we present the details of the National Forest Conservation Program (PNCB—Programa Nacional de Conservación de Bosques para la Mitigación del Cambio Climático), Peru, from a satellite-based alert perspective. We examined the community’s involvement in forest monitoring and investigated the usability of 1853 CBM data in conjunction with 445 satellite-based alerts. The results confirm that Peru’s PCNB contributed significantly to the REDD+ scheme, and that the CBM data provided rich information on the process and drivers of forest change. We also identified some of the challenges faced in the existing system, such as delays in satellite-based alert transfer to communities, sustaining community participation, data quality and integration, data flow, and standardization. Furthermore, we found that mobile devices responding to alerts provided better and faster data on land-use, and a better response rate, and facilitated a more targeted approach to monitoring. We recommend expanding training efforts and equipping more communities with mobile devices, to facilitate a more standardized approach to forest monitoring. The automation and unification of the alert data flow and incentivization of the participating communities could further improve forest monitoring and bridge the gap between near-real-time (NRT) satellite-based and CBM systems. Full article

Background: Music stimulation is considered a valuable form of intervention in disorders of consciousness (DoC); for instance, verticalization may improve motor and cognitive recovery. Our purpose is to investigate the effects of a novel rehabilitative approach combining robotic verticalization training (RVT) with personalized music stimulation in people with DoC. Methods: Sixteen subjects affected by minimally conscious state due to traumatic brain lesions who attended our Intensive Neuro-Rehabilitation Unit were enrolled in this randomized trial. They received either music robotic verticalization (MRV) using the Erigo device plus a personalized music playlist or only RVT without music stimuli. Each treatment was performed 2 times a week for 8 consecutive weeks in addition to standard neurorehabilitation. Results: We found significant improvements in all patients’ outcomes in the experimental group (who received MRV): Coma Recovery Scale-Revised (CRS-R) (p < 0.01), Level of Cognitive Functioning (LCF) (p < 0.02), Functional Independence Measure (FIM) (p < 0.03), Functional Communication Scale (FCS) (p < 0.007), Trunk Control Test (TCT) (p = 0.05). Significant differences between the two groups were also found in the main outcome measure CRS-R (p < 0.01) but not for TCT and FIM. Conclusions: Our study supports the safety and effectiveness of RVT with the Erigo device in chronic MCS, and the achievement of better outcomes when RVT is combined with music stimulation. Full article

Enteric infections are a major cause of neonatal death in South American camelids (SACs). The aim of this study was to determine the prevalence of enteric viral pathogens among alpacas and llamas in Canchis, Cuzco, located in the southern Peruvian highland. Fecal samples were obtained from 80 neonatal alpacas and llamas and tested for coronavirus (CoV), mammalian orthoreovirus (MRV), and rotavirus A (RVA) by RT-PCR. Of the 80 fecal samples analyzed, 76 (95%) were positive for at least one of the viruses tested. Overall, the frequencies of positive samples were 94.1% and 100% among alpacas and llamas, respectively. Of the positive samples, 33 (43.4%) were monoinfected, while 43 (56.6%) had coinfections with two (83.7%) or three (16.3%) viruses. CoV was the most commonly detected virus (87.5%) followed by MRV (50%). RVA was detected only in coinfections. To our knowledge, this is the first description of MRV circulation in SACs or camelids anywhere. These data show that multiple viruses circulate widely among young alpaca and llama crias within the studied areas. These infections can potentially reduce livestock productivity, which translates into serious economic losses for rural communities, directly impacting their livelihoods. Full article

Community-based forest monitoring is seen as a way both to improve community engagement and participation in national environmental payment schemes and climate mitigation priorities and to implement reducing emissions from deforestation and forest degradation and foster conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+). There is a strong assumption among community-based monitoring advocates that community monitoring is a desirable approach. However, it is unclear why community members would want to participate in their own surveillance or be involved in a program likely to limit livelihood uses of forest areas and possibly even sanction them based on the data provided. This paper explores these issues by examining three communities involved in Peru’s Conditional Direct Transfer Program, in which indigenous communities are compensated for protecting communal forests through various mechanisms, including forest monitoring. The case studies focus specifically on communities that received smartphones and were trained in their use for monitoring. The results affirm the importance that benefits outweigh the costs of local participation to sustain motivation. They also point to key factors supporting the legitimacy of the program, specifically to overcome historical tensions between the state and indigenous communities. These include the nature of engagement by program implementers and the importance of building trust over time. Full article

Since the early design of activities to reduce emissions from deforestation and forest degradation in developing countries (REDD+) under the United Nations Framework Convention on Climate Change (UNFCCC), the need to engage local communities and indigenous groups in monitoring and reporting has been recognized. REDD+ has advanced under the UNFCCC negotiations, but most countries still need to define formally what the role of communities in their national monitoring systems will be. Previous research and experiences have shown that local communities can effectively contribute in the monitoring of natural resources. This editorial introduces a Special Issue of Forests which discusses the implications of and potential for including community based monitoring (CBM) in monitoring and benefit-sharing systems in REDD+. It outlines the main points of the nine contributions to the Special Issue which cover a wide geographical area and report on projects and research which engages more than 150 communities from eight different countries from Africa, Asia and Latin America. The editorial summarizes how the articles and reports build further understanding of the potential of CBM to contribute to the implementation, monitoring and distribution of benefits in REDD+. It also discusses the results of an on-going opinion survey on issues related to CBM and its relation to benefit sharing, which indicates that there is still disagreement on a number of key elements. Full article

A fundamental component of initiatives to reduce emissions from deforestation and forest degradation (REDD+); will be the development of robust and cost-effective measuring, reporting, and verification (MRV) instruments for national forest monitoring and safeguard information systems. It is increasingly recognized that community-based monitoring (CBM) offers a positive model for greater participation and engagement of indigenous and forest-dependent communities within a REDD+ framework. Yet plans for CBM within REDD+ MRV systems remain limited, and there are currently relatively few concrete examples of CBM informing national forest monitoring systems. This paper outlines findings from a community MRV project with Amerindian communities in the North Rupununi, Guyana; and demonstrates that a CBM approach can enable key REDD+ requirements: in understanding local deforestation drivers and measuring carbon stocks; and for providing information on safeguards through social and environmental assessments. In addition, the authors discuss community capacity-building on smartphone technology for monitoring as a challenging yet viable pathway for scaling the use and adoption of indigenous knowledge and local skills for REDD+ programs. Full article

Within the Reducing Emissions from Deforestation and Degradation (REDD+) framework, the involvement of local communities in national forest monitoring activities has the potential to enhance monitoring efficiency at lower costs while simultaneously promoting transparency and better forest management. We assessed the consistency of forest monitoring data (mostly activity data related to forest change) collected by local experts in the UNESCO Kafa Biosphere Reserve, Ethiopia. Professional ground measurements and high resolution satellite images were used as validation data to assess over 700 forest change observations collected by the local experts. Furthermore, we examined the complementary use of local datasets and remote sensing by assessing spatial, temporal and thematic data quality factors. Based on this complementarity, we propose a framework to integrate local expert monitoring data with satellite-based monitoring data into a National Forest Monitoring System (NFMS) in support of REDD+ Measuring, Reporting and Verifying (MRV) and near real-time forest change monitoring. Full article

Reducing emissions from deforestation and forest degradation (REDD+) is an international climate policy instrument that is expected to tap into the large mitigation potential for conservation and better management of the world’s forests through financial flows from developed to developing countries. This paper describes the results and lessons learned from a pioneering REDD+ pilot project in Nepal, which is based on a community forest management approach and which was implemented from 2009–2013 with support from NORAD’s Climate and Forest Initiative. The major focus of the project was to develop and demonstrate an innovative benefit-sharing mechanism for REDD+ incentives, as well as institutionally and socially inclusive approaches to local forest governance. The paper illustrates how community-based monitoring, reporting, and verification (MRV) and performance-based payments for forest management can be implemented. The lessons on REDD+ benefit sharing from this demonstration project could provide insights to other countries which are starting to engage in REDD+, in particular in South Asia. Full article

REDD+ social safeguards have gained increasing attention in numerous forums. This paper reviews the evolution of multi-level policy dialogues, processes, and actions related to REDD+ social safeguards (e.g., Cancun Safeguards 1–5) among policy makers, civil society organizations, and within the media in Brazil, Indonesia and Tanzania, three countries with well advanced REDD+ programs. We find that progress on core aspects of social safeguards is uneven across the three countries. Brazil is by far the most advanced having drafted a REDD+ social safeguards policy. Both Brazil and Indonesia have benefited from progress made by strong sub-national entities in the operationalization of REDD+ safeguards including free prior and informed consent (FPIC), participation, and benefit sharing. Tanzania has weakly articulated how social safeguards will be operationalized and has a more top-down approach. We conclude that in all three countries, measuring, reporting and verifying progress on social safeguards is likely to be a complex issue. Stakeholders with vested interests in REDD+ social safeguards operate in polycentric rather than nested systems, suggesting that aggregation of information from local to national-scale will be a challenge. However, polycentric systems are also likely to support more transparent and comprehensive safeguards systems. Clear direction from the international community and financing for REDD+ safeguard MRV is essential if REDD+ social safeguards are to be meaningfully integrated into forest-based climate mitigation strategies. Full article

Assessing forest changes is the baseline requirement for successful forest management. Measurement, Reporting, and Verification (MRV) are three essential components for achieving such assessments. Community participation in resource monitoring and management is increasingly seen as a scientifically efficient, cost-effective, and equitable way to employ such practices, particularly in the context of REDD+. We developed a multidisciplinary approach to study the feasibility of Participatory MRV (PMRV) across three sites along a forest degradation gradient in Indonesia. We looked at both the local and national level needs of MRV. Our approach combines: (1) social research focusing on the enabling conditions for local participation in MRV; (2) governance analyses of existing MRV systems in forestry and health; and (3) remote sensing work comparing overlaps and gaps between satellite imagery and local assessments of forest changes. We considered in our approach the possible multiple benefits of PMRV (carbon mitigation, biodiversity conservation, livelihood security). Our study helped to identify the multiple stakeholders (communities, NGOs and governments) and what the levels of governance should be to make PMRV design and implementation feasible and sustainable. Full article

Countries at the United Nations Framework on the Convention on Climate Change (UNFCCC) have decided to engage local communities and indigenous groups into the activities for the monitoring, reporting and verification (MRV) of the program to reduce emissions from deforestation and forest degradation and increase carbon removals (REDD+). Previous research and projects have shown that communities can produce reliable data on forest area and carbon estimates through field measurements. The objective of this article is to describe the framework that is being created for REDD+ under the UNFCCC to identify the potential inclusion of local information produced through community-based monitoring (CBM) into monitoring systems for REDD+. National systems could use different sources of information from CBM: first, local information can be produced as part of public programs by increasing sample size of national or regional inventories; second, government can collect information to produce carbon estimates from on-going management practices implemented at local level driven by access to local direct benefits (e.g., forest management plans, watershed conservation); third, national data systems could include information from projects participating in carbon markets and other certification schemes; and finally information will be produced as part of the activities associated to the implementation of social and environmental safeguards. Locally generated data on carbon and areas under different forms of management can be dovetailed into national systems and be used to describe management practices, complement existing information or replace Tier 1/2 values with more detailed local data produced by CBM. Full article