Search Results (66)

New regulations, such as the EU Deforestation-Free Regulation (EUDR), make verifiable agricultural data (AgData) essential for global trade. However, its value is compromised by a widespread “AgData Paradox”, characterized by distrust and fragmentation. To address this problem, we present AgriTrust, a federated semantic governance framework that automates and governs data sharing. Its key methodological innovation lies in the deep integration of a multi-sectorial governance model with a semantic digital layer, implemented through the AgriTrust Ontology (an OWL ontology for tokenization and traceability) and a multi-vendor, blockchain-agnostic architecture that avoids single-vendor dependence. We demonstrate the framework’s feasibility through simulated case studies in three critical Brazilian supply chains: coffee (EUDR compliance), soybean (mass balance), and beef (animal traceability). Using a semantic reasoning pipeline on a proof-of-concept federated knowledge graph of 2010 triples, we show how AgriTrust enables verifiable provenance representation, automated compliance checking via executable data contracts, and cross-platform asset management. The results provide initial evidence that AgriTrust offers a conceptually coherent blueprint for agricultural data sharing, though operational deployment, scalability testing, and performance validation under real-world conditions remain as future work. Full article

In healthy ecosystems, large raptors such as the White-tailed Eagle perform the essential roles of predators, bioindicators, and umbrella species. Despite their importance, many species of raptors are globally endangered, and similarly, in the Republic of Moldova, 13 species of diurnal birds of prey went extinct in the last 7 decades. The White-tailed Eagle (Haliaeetus albicilla) is the only example of a raptor that has regionally made a demographic and distributional comeback after decades of absence. Following this comeback, a national monitoring scheme during 2014–2025, including a nest counting survey in 2022–2024, has been implemented to understand what the current national situation of the species is and its ecological preferences and threats, together with the fundamental ecological context that allowed the breeding population to adapt to an ever-changing landscape. Field research conducted over 12 years confirmed the breeding of eight pairs, with data indicating a minimum of 19–23 nesting pairs. Pairs generally avoid human-dominated landscapes, preferring higher coverage of wetlands and forests, but current data suggests frequent occupancy of suboptimal territories and increasing tolerance towards human activity and infrastructure. Although currently small, the breeding population experiences high breeding success with no negative outcomes recorded. However, droughts and forestry activities in the proximity of the nests potentially reduced and delayed breeding success. Current forestry and fish farming practices increase the vulnerability of the few known breeding pairs to habitat degradation, poaching, and deforestation. To improve the conservation status of this endangered raptor in the Republic of Moldova, as close as possible to Least Concern status, it is crucial to implement multi-purpose buffer zones around active nests during the breeding season and to further survey the breeding population and assess any demographic trends. Full article

This study investigates the spatial exposure of Brazil’s Legal Amazon (BLA) as the deforestation frontier, operationalized as Brazil’s legally defined Amazon Legal administrative region, in Brazil’s commodity exports to its two largest partners: the European Union (EU) and China. Focusing on agricultural, forestry and mining commodity groups, a destination-specific Relative Concentration Ratio (RCR) and Compound Annual Growth Rate (CAGR) on physical trade data (2002–2024) were used to examine whether contrasting trade governance logics—the regulatory “Brussels Effect” and the scale-driven “Beijing Effect”—are associated with different sourcing geographies from the BLA frontier. We test three competing expectations: EU spatial avoidance, higher Chinese frontier dependence, and compliance-driven consolidation. The results reveal a counterintuitive paradox: despite stricter sustainability governance, the EU displays persistently higher frontier dependence than China in key commodity groups, with RCR trajectories indicating stabilization rather than spatial avoidance. In contrast, China’s frontier dependence declines over time in selected sectors even as import volumes expand substantially, highlighting that changes in frontier exposure cannot be inferred from trade scale alone. CAGR patterns further show strong growth in China-related trade at the national level across commodity groups, alongside sector-specific frontier dynamics within BLA. Overall, the findings provide the strongest support for the consolidation hypothesis: compliance and traceability requirements—public and private—may concentrate EU-linked sourcing among highly auditable, capitalized producers embedded in established frontier zones. These results imply that without explicit spatial targeting, demand-side regulations such as the EUDR may improve product-level assurances yet fail to induce a geographic shift away from deforestation frontiers, potentially reinforcing trade links with established producers in high-risk regions. Full article

Agricultural production is becoming increasingly difficult due to various environmental fluctuations brought on by climate change. Overall increase in atmospheric temperatures due to greenhouse gases, changing rainfall patterns leading to severe water shortages, and deforestation have led to many areas facing drought conditions, causing more stress for producing enough food crops to fulfil increasing global demand. This is also exacerbated by emerging phytopathogens causing severe disease outbreaks, making it difficult to control them without drastic measures. Excessive use of agrochemicals in these areas could lead to more ecological displacements and therefore, sustainable agricultural practices are required to avoid causing more harm. Microorganisms with climate-adaptive characteristics and qualities that would be helpful in acting as bioinoculants and biological control, could prove to be more successful in sustainably controlling emerging pathogens as well as improving the overall plant immunity and health in drought affected areas. We discuss how climate change driven changes in farming areas have made them vulnerable towards emerging pathogens, and highlight how biological control agents can be successfully utilized to possibly overcome this without causing more environmental damage. This review provides a background for future research by linking the climate adaptive characteristics of microorganisms with biocontrol and plant health improving capabilities and how they can effectively be used for eco-friendly agricultural practices in agroecosystems impacted by climate change. Full article

Despite substantial investments to curb tropical deforestation, effective conservation incentives for Indigenous peoples and local communities is not well-defined and generally under-researched. This study assessed an incentive mechanism in Peru for Indigenous communities that protect enrolled forests to explore whether the stated program goals are actualized in programmatic elements like the requirements, monitoring, and assessment of prioritized outcomes. The research team worked with Indigenous partners to develop key questions regarding how the mechanism could better support their values of conservation and development. Data were sourced from interviews with implementation experts and participants in eight Indigenous communities, a review of programmatic documents, and an assessment of nationally aggregated community data. The results revealed challenges in program capacity, a lack of cultural awareness, and a reliance on capitalistic economic indicators that exclude other aspects of well-being important for Indigenous peoples. We find that the program’s success indicators do not adequately align with conservation or social realities on the ground and that enhanced indicators are needed to ensure success and avoid negative unintended consequences. We demonstrate that enhancing the assessment of governance, economics, engagement, and social inclusion can improve the design, implementation, and monitoring in this and similar programming. We conclude with generalizable recommendations for establishing requirements and monitoring in existing and future conservation incentive programs that target Indigenous communities. Full article

The distribution of forest aboveground biomass density (AGBD) is a key indicator of carbon stock and ecosystem health in the Eastern Himalayas, which represents a global biodiversity hotspot that sustains diverse forest types across an elevation gradient from lowland rainforests to alpine meadows and contributes to the livelihoods of more than 200 distinct indigenous communities. This study aimed to identify the key factors influencing forest AGBD across this region by analyzing the underlying biophysical and anthropogenic drivers through machine learning (random forest). We processed AGBD data from the Global Ecosystem Dynamics Investigation (GEDI) spaceborne LiDAR and applied filtering to retain 30,257 high-quality footprints across ten ecoregions. We then analyzed the relationship between AGBD and 17 climatic, topographic, soil, and anthropogenic variables using random forest regression models. The results revealed significant spatial variability in AGBD (149.6 ± 79.5 Mg ha⁻¹) across the region. State-wise, Sikkim recorded the highest mean AGBD (218 Mg ha⁻¹) and Manipur the lowest (102.8 Mg ha⁻¹). Within individual ecoregions, the Himalayan subtropical pine forests exhibited the highest mean AGBD (245.5 Mg ha⁻¹). Topographic factors, particularly elevation and latitude, were strong determinants of biomass distribution, with AGBD increasing up to elevations of 2000 m before declining. Protected areas (PAs) consistently showed higher AGBD than unprotected forests for all ecoregions, while proximity to urban and agricultural areas resulted in lower AGBD, pointing towards negative anthropogenic impacts. Our full model explained 41% of AGBD variance across the Eastern Himalayas, with better performance in individual ecoregions like the Northeast India-Myanmar pine forests (R² = 0.59). While limited by the absence of regionally explicit stand-level forest structure data (age, stand density, species composition), our results provide valuable evidence for conservation policy development, including expansion of PAs, compensating avoided deforestation and modifications in shifting cultivation. Future research should integrate field measurements with remote sensing and use high-resolution LiDAR with locally derived allometric models to enhance biomass estimation and GEDI data validation. Full article

Fungal biodiversity and ethnomycological knowledge are fundamental components of the biocultural identity of communities within the La Malinche National Park (PNM), a region of ecological and cultural significance in Mexico. This study documented the diversity of wild fungi and their uses in San Miguel Canoa, Puebla, through field excursions with local mushroom gatherers, interviews, and qualitative analysis. Key species such as Russula delica, Boletus aff. edulis, and Amanita basii were identified, playing a vital role in local gastronomy with traditional recipes like mole and pipián. Intergenerational knowledge transmission, crucial for identifying edible fungi and avoiding intoxications, highlights the importance of oral tradition. However, deforestation, illegal logging, and land-use change threaten fungal diversity, a problem exacerbated by the lack of effective conservation policies. The discussion highlights the interplay between biodiversity and culture, emphasizing the significance of the Wild Mushroom Fair organized by the Yolaltepetl collective as an effort to disseminate ethnomycological knowledge and promote the conservation of the PNM. Such community-driven initiatives represent a sustainable model that integrates environmental protection with cultural strengthening. The study concludes that protecting the PNM requires a holistic approach, merging ecological conservation with the recognition of biocultural knowledge. This is essential to preserve both biodiversity and cultural heritage, ensuring their sustainability for future generations. Full article

The Amazonian forests located within the Guiana Shield store above-average levels of biomass per hectare. However, considerable uncertainty remains regarding carbon stocks in this region, mainly due to limited inventory data and the lack of spatial datasets that account for factors influencing variation among forest types. The present study investigates the spatial distribution of original total forest biomass in the state of Amapá, located in the northeastern Brazilian Amazon. Using data from forest inventory plots, we applied geostatistical interpolation techniques (kriging) combined with environmental variables to generate a high-resolution map of forest biomass distribution. The stocks of biomass were associated with different forest types and land uses. The average biomass was 536.5 ± 64.3 Mg ha⁻¹ across forest types, and non-flooding lowland forest had the highest average (619.1 ± 38.3), followed by the submontane (521.8 ± 49.8) and the floodplain (447.6 ± 45.5) forests. Protected areas represented 84.1% of Amapá’s total biomass stock, while 15.9% was in agriculture and ranching areas, but the average biomass is similar between land-use types. Sustainable-use reserves stock more biomass (40%) than integral-protection reserves (35%) due to the higher average biomass associated with well-structured forests and a greater density of large trees. The map generated in the present study contributes to a better understanding of carbon balance across multiple spatial scales and demonstrates that forests in this region contain the highest carbon stocks per hectare (260.2 ± 31.2 Mg ha⁻¹, assuming that 48.5% of biomass is carbon) in the Amazon. To conserve these stocks, it is necessary to go further than merely maintaining protected areas by strengthening the protection of reserves, restricting logging activities in sustainable-use areas, promoting strong enforcement against illegal deforestation, and supporting the implementation of REDD+ projects. These actions are critical for avoiding substantial carbon stock losses and for reducing greenhouse-gas emissions from this region. Full article

This paper was concerned with individual difference correlates of preferences for three issues associated with ethical investing. Five hundred adults completed a long, 60-item, questionnaire concerning personal details, including demographic (sex, age, education) and ideological (political and religious beliefs), as well as a three-part measure of their investment attitudes: what investments to avoid, what general issues to consider when investing and what people issues to consider when investing. The results indicated that they most wanted to avoid investments concerning weapons, animal testing and fossil fuels. The most important issues when investing were thought to be pollution, deforestation and carbon footprint, which all have at heart the sustainability philosophy. With regards to workers, they noted child labour, wages and worker rights as the most important issues. Correlations showed relatively few demographic correlates, but there were a number of religious belief and political attitude correlates of investment preferences. The strongest relationship was between political beliefs and anything associated with global warming. Implications and limitations are acknowledged, in particular with respect to having rank-order data and not knowing important information about the respondents. Full article

Reforestation is widely promoted as a nature-based solution for climate change, yet its unintended consequences, such as deforestation leakage, remain under-investigated. This study provides empirical evidence of reforestation-induced leakage in the Brazilian Amazon, using municipality-level panel data from 2000 to 2023 and spatial Durbin panel models to estimate both the magnitude and spatial reach of agricultural displacement. Despite the positive local effects of reforestation projects, we found a significant displacement of deforestation to the vicinity of municipalities. We estimated a statistically significant deforestation leakage effect of approximately 12% from the reforested area, due to the agricultural displacement of cattle ranching activities. Spatial spillovers are strongest within a 150 km radius and within two years after reforestation onset. Sensitivity tests using alternative spatial weight matrices, including distance decay and land rent-weighted specifications, confirm the robustness of these findings. Livestock intensification, proxied by cattle stocking rates, does not significantly mitigate displacement effects, challenging assumptions about land sparing benefits. These results suggest that current carbon market protocols (e.g., Verra, ART-TREES) may improve their leakage analysis to avoid under- or over-estimating net carbon benefits. Incorporating spatial econometric evidence into offset methodologies and reforestation planning can improve climate policy integrity and reduce unintended environmental trade-offs. Full article

The overexploitation of forest resources in the Lubumbashi Charcoal Production Basin in the southeastern Democratic Republic of the Congo (DR Congo) leads to deforestation and miombo woodlands degradation, threatening local livelihoods. Current forestry policies are ineffective, partly due to neglecting traditional ecological knowledge (TEK). This study identifies and describes TEK and practices related to biodiversity conservation and sustainable miombo woodlands management. Focus groups and interviews were conducted in four villages (Maksem, Mwawa, Nsela, and Texas), selected based on forest resource availability and population size. Data on sacred sites, conservation practices, knowledge transmission, ceremonies, and socio-demographic factors were analyzed using descriptive statistics, Fisher’s exact test, and Jaccard’s similarity index. The findings revealed that 75% of respondents identified sacred sites where logging activities are strictly prohibited. Thirty sacred tree species were identified, with stronger compliance in villages with a high availability of forest resources. This TEK is predominantly transmitted orally through family councils, as well as traditional ceremonies or rituals. Conservation practices include small-scale farming, intercropping, avoiding tree cutting in sacred sites, and using deadwood. However, only farming and intercropping are still commonly practiced, particularly in resource-scarce villages (64%). Women and elders are primary custodians of TEK, though its application is constrained by population growth and dwindling forest resources. The findings emphasize the crucial role of TEK in strengthening forest restoration initiatives by selecting key woody species and sustainable practices, while fostering community involvement. As such, decision makers should prioritize integrating TEK into DR Congo’s forest policies to support biodiversity conservation and miombo woodlands restoration efforts. Full article

Simple theoretical von Thünenian models of deforestation and agricultural expansion have been extensively studied in the literature but have not yet been adapted to reflect contemporary conservation paradigms, such as the emergence of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) initiatives, related payments for forest conservation, and payments for ecosystem services (PES) more broadly. We revisit Angelsen’s 1999 seminal adaptation of the 1826 von Thünenian model of deforestation and agricultural expansion and propose a “toy model” to incorporate the potential revenues from conservation payments and build on the concept of additionality in the payments for environmental services literature. As theorized, our extended model illustrates how such payments are more effective when they approach the profit margins of geographically peripherical crops that replace the forest. Moreover, it illustrates how conservation payments influence the agricultural frontier while quantifying the avoided deforestation area. Full article

The study quantifies the benefits of expanding electric cooking in the residential sector in replacement of liquefied petroleum gas (LPG), including economic savings and the avoided emissions resulting from this transition, viewed through the perspective of a long-range optimal energy system model developed for the Ecuadorian energy system under the LEAP (Long-range Energy Alternative Planning) framework. In Ecuador, electricity generation is predominantly based on hydropower obtained from run-of-the-river schemes. The model results indicate that a sectorial-level policy to promote electric cooking reduces the use of LPG per annum, which consequently leads to reductions in greenhouse gas emissions. Additionally, the electric cooking scenario also complements the Ecuadorian vision of reducing deforestation and reaching carbon neutrality. Furthermore, the subsidies to LPG will be reduced, improving energy sovereignty. Finally, the paper discusses the effects and implications of this policy implementation over the nationally determined contributions (NDC). Full article

Forest degradation is a major issue in ecosystem monitoring, and to take reformative measures, it is important to detect, map, and quantify the losses of forests. Synthetic Aperture Radar (SAR) time-series data have the potential to detect forest loss. However, its sensitivity is influenced by the ecoregion, forest type, and site conditions. In this work, we assessed the accuracy of open-source C-band time-series data from Sentinel-1 SAR for detecting deforestation across forests in Africa, South Asia, and Southeast Asia. The statistical Cumulative Sums of Change (CuSUM) algorithm was applied to determine the point of change in the time-series data. The algorithm’s robustness was assessed for different forest site conditions, SAR polarizations, resolutions, and under varying moisture conditions. We observed that the change detection algorithm was affected by the site- and forest-management activities, and also by the precipitation. The forest type and eco-region affected the detection performance, which varied for the co- and cross-pol backscattering components. The cross-pol channel showed better deforested region delineation with less spurious detection. The results for Kalimantan showed a better accuracy at a 100 m spatial resolution, with a 25.1% increase in the average Kappa coefficient for the VH polarization channel in comparison with a 25 m spatial resolution. To avoid false detection due to the high impact of soil moisture in the case of Haldwani, a seasonal analysis was carried out based on dry and wet seasons. For the seasonal analysis, the cross-pol channel showed good accuracy, with an average Kappa coefficient of 0.85 at the 25 m spatial resolution. This work was carried out in support of the upcoming NISAR mission. The datasets were repackaged to the NISAR-like HDF5 format and processing was carried out with methods similar to NISAR ATBDs. Full article

Tanzania dedicates a substantial proportion (38%) of its territory to conservation, with a large number of Protected Areas (PAs) managed under various regimes. Nevertheless, the country still experiences high rates of deforestation, which threaten the ecological integrity and socio-economic benefits of its forests. We utilized the Global Forest Change Dataset (2012–2022) and implemented a Propensity Score Matching (PSM) approach followed by a series of binomial logit regression modeling. Our objectives were to evaluate (1) the likelihood of PAs in avoiding deforestation compared with unprotected forest landscapes, (2) the variability in effectiveness among the different PA management regimes in avoiding deforestation, (3) evidence of leakage, defined here as the displacement of deforestation beyond PA boundaries as a result of protection inside PAs. Our findings reveal that, despite ongoing deforestation within and outside of PAs, conservation efforts are, on average, three times more likely to avoid deforestation compared with unprotected landscapes. However, the effectiveness of avoiding deforestation significantly varies among the different management regimes. National Parks and Game Reserves are nearly ten times more successful in avoiding deforestation, likely because of the stringent set of regulations and availability of resources for implementation. Conversely, Nature Forest Reserves, Game Controlled Areas, and Forest Reserves are, on average, only twice as likely to avoid deforestation, indicating substantial room for improvement. We found little evidence of the overall leakage as a consequence of protection. These results highlight the mixed success of Tanzania’s conservation efforts, suggesting opportunities to enhance the effectiveness of many less protected PAs. We conclude by proposing potential strategic pathways to enhance further the climate and ecosystem benefits of conservation in Tanzania. Full article