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This study addressed the need for a more comprehensive inventory of pit and quarry operations in Tetouan province and M’diq-Fnideq prefecture. It employed a Geographic Information System (GIS) approach, integrating various spatial remote sensing (RS) and field data to identify suitable areas for extracting alluvial, rocky, and clay materials. The used data includes quarry inventory, geological information, hydrographic networks, slope, and land use. The finding revealed 72 quarries and assessed their suitability for resource extraction. Alluvial deposits, approximately 127 million m³, were identified mainly in the primary wadis (river valley), including Oued Laou, Oued Amsa, Oued Mhajrate, and Oued Khemis. Massive rock deposits, consisting of limestone and sandstone, were estimated at 3.4 billion m³ . Clay deposits, suitable for various industrial applications, were also identified in significant quantities. In addition to confirming potential quarry deposits, our field surveys indicate that exploitation activities contribute to deforestation, and quarry waste often invades agricultural lands and forests. This information can facilitate sustainable resource management, environmental conservation, and informed policy and planning. The results highlighted the economic significance of geological resources in the study areas, contributing to various industries. Furthermore, by examining the relationship between quarries and the environment, including hydrographic networks, the study provides insights into eco-friendly quarrying practices. This methodology is expected to offer valuable insights into geological resources, guide sustainable resource management, and inform decision-making processes for regional development. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Debates about the impacts of human settlement on Madagascar's habitat have missed the Malagasy perspective. Using indigenous and local knowledge in the form of toponyms, we find many regions across today's treeless grasslands are named after forest/trees, suggesting they may be novel. Where observed habitat does not match toponyms, erosion is significantly more likely at landscape scales. This suggests rapid expansion of erosion following human removal and burning of endemic forest, savanna woodland, heathland and grass assemblages. Findings also provide a timely warning: current practices may be unsustainable and may impact not only biodiversity but also human wellbeing unless urgently addressed. Summary: The debate surrounding the extent of Madagascar's treeless grasslands at human settlement is important because introduced disturbance can negatively impact the biodiversity and productivity of systems that evolved under different regimes. Indigenous and local knowledge (ILK), often overlooked, can provide information about past vegetation structure. To test whether clearance of forest and trees, frequent fires and pasture preparation have accelerated today's island‐wide erosion, we use vegetation toponyms and assess whether mismatches between these and current vegetation types are significantly more likely to be associated with erosion.Using Malagasy and Imerina linguistic records spanning 150 years, we mapped forest‐related and grassland‐related extensive toponyms in current grassland and forest, respectively. We then assessed whether remotely‐sensed erosion was more likely when toponyms and current habitat did not match.We found 316 sites in treeless grasslands, named after forest/clusters of trees, but no grassland‐named sites in forest. Globally, natural forest and grasslands both constrain erosion. Forest toponyms in grassland were significantly more likely to reflect erosion than sites in extant forest.These findings concur with palaeoecological, geomorphological, molecular and rangeland palatability studies. Malagasy ILK, hitherto largely ignored as a source of information, strongly suggests vegetation clearance and human disturbance have exacerbated the degradation of terrestrial, freshwater and marine ecosystems through topsoil loss and siltation and selected fire‐adapted, less‐palatable grasslands. Malagasy ILK in the form of toponyms highlights the need to address the negative impacts of burning and land‐clearance practices (e.g., loss of biodiversity and ecological function, decreased agricultural productivity, collapsed fisheries), given island‐wide challenges to food security and conservation. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Unmanned aerial vehicle (UAV) imagery highlights the extent of illegal deforestation in protected areas for the biodiverse humid forest of central Madagascar. The ultra‐high‐resolution (<10‐cm pixel) images enable the creation of detailed forest 3D base maps and provide the means to quantify forest stand losses. To help communities safeguard their forests, local non‐governmental organisations can use UAV maps in combination with weekly deforestation alerts to facilitate an immediate on‐ground response that significantly restricts illegal activity. Integrating ultra‐high‐resolution UAV mapping and coarse‐resolution freely available satellite imagery should have much wider applications in Madagascar and the humid tropics for community‐based conservation. Summary: This study of the Ambohimahamasina humid forest shows that small UAVs offer a detailed (<10‐cm pixel), rapid and cost‐effective solution to provide maps of detailed deforestation patterns not visible in satellite imagery.Calculating forest extent and volume are valuable ways to rapidly assess forest losses and prioritise areas for ground patrols. The use of 3‐dimensional measurements for above ground carbon estimates indicate how, in the future, these metrics could be used to calculate carbon payments for conservation programs.By combining UAV and free satellite imagery, an effective alert system has been developed that supports community initiatives in the protection of their natural forest resources.The wealth of ultra‐high‐resolution UAV data collected in this study provides insights into forest dynamics, supports local community forest management, and has the potential to measure the value of the forest. [ABSTRACT FROM AUTHOR]

This case study contributes to the research on the environmental beliefs of extractive industry workers in an illiberal populist regime. This research is based on semi-structured interviews with logging sector workers of the Russian Northwest—a severely understudied population directly involved in resource extraction. The data shows that these workers understand forestland as two separate localities: the northwestern region of Russia, in which the loggers have expertise and knowledge, and the rest of the country, in which workers don't have any work or travel experience. This division facilitates a process of hybridization of populist environmental narratives on one hand, and loggers' science-supported knowledge and experiences on the other. This hybridization of the workers' beliefs is anchored in, and perpetuated by, Russia's state-controlled media and its modern authoritarian populist regime. This research offers policy implications and encourages future studies on the politicization of the environment and resources in authoritarian populist states. [ABSTRACT FROM AUTHOR]

The presence of livestock in riparian areas raises several questions about the conservation and sustainable use of water resources and biodiversity in Brazil. Although the Native Vegetation Protection Law (No. 12,651) focuses on riparian vegetation, protected as Permanent Preservation Areas (APPs), it does not exclude the presence of livestock in these fragile areas. Here, we provide an overview of APPs in Brazil and analyze the legal instruments that enable livestock in these areas, gathering the scientific evidence on associated environmental impacts. Currently, cattle in riparian areas represent a direct threat to biodiversity and ecosystem functioning and services, especially because these animals promote trampling, loss of vegetation, soil erosion, siltation, and pollution through urine and feces. To avoid cattle in APPs, legislation should be revised to implement more stringent restrictions; in parallel, alternatives for watering the animals must be sought, such as, for example, the installation of artificial ponds and drinking fountains. It would be appropriate to propose legislation or create incentives to fence livestock in pasture areas to preventing it from accessing APPs. Increasing cattle confinement is an alternative measure to traditional ranching in open pasture. Riparian zones represent a critical environment for biodiversity and society, so the presence of cattle and its associated negative impacts should be seriously considered by authorities. [ABSTRACT FROM AUTHOR]

Deforestation is an important environmental issue that involves the removal of forests on a large scale, resulting in ecological imbalance and biodiversity loss. Synthetic Aperture Radar (SAR) images are widely used as a valuable tool to detect deforestation effectively. The SAR technology allows capturing high-resolution images irrespective of weather conditions or daylight, making it helpful to monitor remote and densely vegetated areas. Recently, deep learning techniques used on SAR images have showcased promising results in the automation of deforestation detection and mapping processes. By leveraging neural networks (NNs) and machine learning (ML) systems, these approaches examine SAR data to recognize deforestation patterns and estimate deforestation rates over time. Therefore, this study develops a cross-breed multilayer convolutional neural network (CNN) for deforestation rate estimation in the Amazon. The proposed model initially preprocesses the input SAR data to remove the speckle noise using a box car mean squared sparse coding filter (BCMSSCF). Besides, crossbreed multilayer CNN (CM_CNN) is used for mapping and segmentation of the deforested area. To determine the pace of deforestation in the Amazon region, a widespread experimental analysis was performed on the LBA-ECO LC-14 dataset. A detailed comparative result analysis of the proposed model is made with recent approaches. The experimental results stated that the proposed model shows promising results in terms of different performance measures. [ABSTRACT FROM AUTHOR]

Lualaba Province, located in the southeastern Democratic Republic of the Congo (DRC), consists of five territories with varied dominant land uses: agriculture (Dilolo, Kapanga, and Musumba in the west) and mining (Mutshatsha and Lubudi in the east). The province also includes protected areas with significant governance challenges. The tropical dry forests that cover the unique Miombo woodland of Lualaba are threatened by deforestation, which poses risks to biodiversity and local livelihoods that depend on these forests for agriculture and forestry. To quantify the spatio-temporal dynamics of Lualaba's landscape, we utilized Landsat images from 1990 to 2024, supported by a Random Forest Classifier. Landscape metrics were calculated at multiple hierarchical levels: province, territory, and protected areas. A key contribution of this work is its identification of pronounced deforestation trends in the unique Miombo woodlands, where the overall woodland cover has declined dramatically from 62.9% to less than 25%. This is coupled with a marked increase in landscape fragmentation, isolation of remaining woodland patches, and a shift toward more heterogeneous land use patterns, as evidenced by the Shannon diversity index. Unlike previous research, our study distinguishes between the dynamics in agricultural territories—which are particularly vulnerable to deforestation—and those in mining areas, where Miombo forest cover remains more intact but is still under threat. This nuanced distinction between land use types offers critical insights into the differential impacts of economic activities on the landscape. Our study also uncovers significant deforestation within protected areas, underscoring the failure of current governance structures to safeguard these critical ecosystems. This comprehensive analysis offers a novel contribution to the literature by linking the spatial patterns of deforestation to both agricultural and mining pressures while simultaneously highlighting the governance challenges that exacerbate landscape transformation. Lualaba's Miombo woodlands are at a critical juncture, and without urgent, coordinated intervention from local and international stakeholders, the ecological and socio-economic foundations of the region will be irreversibly compromised. Urgent action is needed to implement land conservation policies, promote sustainable agricultural practices, strengthen Miombo woodland regulation enforcement, and actively support protected areas. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study provides a comprehensive overview of Phase I of the deforestation dryland alert system. It focuses on its operation and outcomes from 2020 to 2022 in the Caatinga biome, a unique Brazilian dryland ecosystem. The primary objectives were to analyze deforestation dynamics, identify areas with highest deforestation rates, and determine regions that require prioritization for anti-deforestation efforts and conservation actions. The research methodology involved utilizing remote sensing data, including Landsat imagery, processed through the Google Earth Engine platform. The data were analyzed using spectral unmixing, adjusted Normalized Difference Fraction Index, and harmonic time series models to generate monthly deforestation alerts. The findings reveal a significant increase in deforestation alerts and deforested areas over the study period, with a 148% rise in alerts from 2020 to 2022. The Caatinga biome was identified as the second highest in detected deforestation alerts in Brazil in 2022, accounting for 18.4% of total alerts. Hexagonal assessments illustrate diverse vegetation cover and alert distribution, enabling targeted conservation efforts. The Bivariate Choropleth Map demonstrates the nuanced relationship between alert and vegetation cover, guiding prioritization for deforestation control and native vegetation restoration. The analysis also highlighted the spatial heterogeneity of deforestation, with most deforestation events occurring in small patches, averaging 10.9 ha. The study concludes that while the dryland alert system (SAD-Caatinga—Phase I) has effectively detected deforestation, ongoing challenges such as cloud cover, seasonality, and more frequent and precise monitoring persist. The implementation of DDAS plays a critical role in sustainable forestry by enabling the prompt detection of deforestation, which supports targeted interventions, helps contain the process, and provides decision makers with early insights to distinguish between legal and illegal practices. These capabilities inform decision-making processes and promote sustainable forest management in dryland ecosystems. Future improvements, including using higher-resolution imagery and artificial intelligence for validation, are essential to detect smaller deforestation alerts, reduce manual efforts, and support sustainable dryland management in the Caatinga biome. [ABSTRACT FROM AUTHOR]

Forest ecosystems play a crucial role in regulating greenhouse gas (GHG) emissions and mitigating climate change. This research aimed to evaluate the GHG emissions of various sources within forested ecosystems and assess their respective contributions to global warming potential (GWP), vital for developing more targeted strategies to mitigate climate change, shaping climate policies, carbon accounting, sustainable forest management, and advancing scientific comprehension of ecosystem-climate dynamics. The study comprehensively analysed carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions EDGAR data of deforestation, fires, and natural processes such as organic soil decomposition within forested ecosystems. The assessment quantified the CO2 equivalent emissions for each category from 1990 to 2022 and forecasted till 2030. Our forecast shows that CO2 emissions from deforestation could reach between 3,990 and 4,529 metric ton (Mt) by 2030, with forest fires contributing an additional 750 Mt. Forestland CO2 absorption is expected to decline to -5134.80 Mt by 2030. There is uncertainty surrounding the forecasts for Organic soil CO2 (829.78 Mt) and Other land CO2 (-764.53 Mt). In addition, deforestation was a significant contributor to CO2 emissions, with a GWP ranging from 4000 to 4500, highlighting the complex interplay between natural processes and human activities in shaping atmospheric warming patterns. Additionally, forest fires emit a complex mix of GHGs. The potency of these gases in warming the planet varies considerably, with CH4 exhibiting a GWP range of 500 to 700 Mt CO2 equivalent, and CO2 ranging from 900 and 1350 Mt. These variations depend on fire intensity and its overall impact on the climate system. Forestland acts as powerful carbon sink, capturing atmospheric CO2 with negative GWP values between -7000 and -6000. Researchers suggest a multifaceted strategy such as stricter enforcement of sustainable forestry regulations, investing in projects that promote carbon sequestration, and reforestation. Additionally, advancements in drone technology, satellite imagery, remote sensing and advanced data analytics can aid in detecting and mitigating climate change impacts, ultimately paving the way for carbon neutrality. Highlights: • Deforestation exacerbates CO2 emissions, with the additional threat of fires compounding the issue. • Forest CO2 sink weakens to -5,135 Mt by 2030. Soil stores 829.78 Mt, and Other land -764.53 Mt. • Deforestation's GWP (4,000–4,500 Mt) shows complex human and nature impact on CO2. • Varying fire emissions (methane 550–650t, CO2 900–1,350t) highlight need for sustainable land use. [ABSTRACT FROM AUTHOR]

This review surveys recent evidence on environmental security, bringing diverse approaches to the subject and evidence relating to different environmental issues into conversation with one another. We focus on the five environmental issues most commonly viewed as having conflict or security effects: climate change, water, forests and deforestation, biodiversity and conservation, and mining and industrial pollution. For each issue, we consider evidence along three dimensions: the impacts of environmental variables on violent conflict, the conflict impacts of policy and development interventions vis-à-vis these environmental issues, and their global policy framing and institutionalization. Through this, we draw particular attention to the poverty and/or inconsistency of the evidence relating to environmental variations, which stands in stark contrast to the extensive evidence on policy and development interventions; noting that policymakers have been much more concerned with the former theme than the latter, we call for this imbalance to be addressed. [ABSTRACT FROM AUTHOR]

Habitat degradation can increase zoonotic disease risks by altering infection dynamics in wildlife and increasing wildlife–human interactions. Bats are an important taxonomic group to consider these effects, because they harbour many relevant zoonotic viruses and have species‐ and context‐dependent responses to degradation that could affect zoonotic virus dynamics. Yet our understanding of the associations between habitat degradation and bat virus prevalence and seroprevalence are limited to a small number of studies, which often differ in the bats or viruses sampled, the study region, and methodology. To develop a broad understanding of the associations between bat viruses and habitat degradation, we conducted an initial phylogenetic meta‐analysis that combines published prevalence and seroprevalence ('(sero)prevalence') with remote‐sensing habitat degradation data. Our dataset includes 588 unique records of (sero)prevalence across 16 studies, 64 bat species, and five virus families. We quantified the overall strength and direction of the relationship between habitat degradation and bat virus outcomes and tested how this relationship is moderated by the time between habitat degradation and bat sampling and by ecological traits of bat hosts while controlling for phylogenetic non‐independence among bat species. We found no effect of degradation on prevalence overall, although a weak effect may exist when forest loss occurs the year prior to bat sampling. In contrast, we detected a negative but weak association between degradation and seroprevalence overall that was strengthened when forest loss occurred the year prior to bat sampling. No bat traits that we investigated interacted with habitat degradation to impact virus outcomes, suggesting observed trends are independent of these traits. Biases in our initial dataset highlight opportunities for future work; prevalence was highly zero‐inflated, and seroprevalence was dominated by Desmodus rotundus and rabies virus. These findings and subsequent analyses will improve our understanding of how global change affects host–pathogen dynamics. [ABSTRACT FROM AUTHOR]

Human activities have triggered profound changes in natural landscapes, resulting in species loss and disruption of pivotal ecological interactions such as insect herbivory. This antagonistic interaction is affected by complex pathways (e.g., abundance of herbivores and predators, plant chemical defenses, and resource availability), but the knowledge regarding how forest loss and fragmentation affect insect herbivory in human‐modified tropical landscapes still remains poorly understood. In this context, we assessed multi‐pathways by which changes in landscape structure likely influence insect herbivory in 20 Atlantic forest fragments in Brazil. Using path analysis, we estimated the direct effects of forest cover and forest edge density, and the indirect effect via canopy openness, number of understory plants and phenolic compounds, on leaf damage in understory plants located in the edge and interior of forest fragments. In particular, plants located in forest edges experienced greater leaf damage than interior ones. We observed that landscape edge density exerted a positive and direct effect on leaf damage in plants sampled at the edge of forest fragments. Our findings also indicated that forest loss and increase of edge density led to an increase in the canopy opening in the forest interior, which causes a reduction in the number of understory plants and, consequently, an increase in leaf damage. In addition, we detected that phenolic compounds negatively influence leaf damage in forest interior plants. Given the increasing forest loss in tropical regions, in which forest fragments become stranded in highly deforested, edge‐dominated and degraded landscapes, our study highlights the pervasive enhancement in insect herbivory in remaining forest fragments—especially along forest edges and canopy gaps in the forest interior. As a result, increased herbivory is likely to affect forest regeneration and accelerate the ecological meltdown processes in these highly deforested and disturbed anthropogenic landscapes. [ABSTRACT FROM AUTHOR]

REDD+ (Reducing Emissions from Deforestation and Degradation) is a potentially powerful policy instrument for climate change, considering the continued loss of tropical forests. While emissions reductions are the primary aim, the Warsaw Framework for REDD+ recognizes the significance of non-carbon benefits to countries in the Global South. We here attempt to provide a balanced assessment of the achievements over the first decade of this policy instrument, paying special attention to whether non-carbon benefits to tropical countries are materialising. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses principles, 136 studies were identified and screened for evidence. We observe that, while forest governance structures have been strengthened, delivery of environmental and socio-economic non-carbon benefits to forest communities appears to be unsystematic, partly due to the absence of formally agreed guidance on how they could be provided. As REDD+ programmes often impinge directly on the livelihoods of local communities, non-timber forest products are sometimes promoted as alternatives to forestry commodities, even if they provide scant compensation. Except for Ghana's cocoa program, commodity-driven value chains tend to be neglected. As more funds are expected to finance REDD+ programmes, there could be opportunities for innovation in the delivery of non-carbon benefits. [ABSTRACT FROM AUTHOR]

Fire occurrence, intensity, and spread are highly influenced by climatic variables. This study investigates the correlation between burned area, precipitation, and temperature in Rondônia, an agricultural frontier in the southwestern Brazilian Legal Amazon, from 2001 to 2022. The analysis utilized climatological data from the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) and MODIS product MOD11A1.061 for temperature, along with MODIS product MCD64A1 for burned area. The study was conducted on a monthly scale, employing the cross-correlation function to determine the lagged effects of temperature and precipitation on burned areas. Trend analysis was performed using the Mann–Kendall test, with the magnitude of trends estimated by Sen's Slope. Results indicated a significant negative correlation between burned areas and precipitation, with a 2-month lag and an R2 of − 0.51. In contrast, temperature exhibited a significant positive correlation with burned areas, showing a 1-month lag and an R2 of 0.55. Trend analysis revealed a decrease in precipitation by − 0.0542 mm.month−1, temperature increased by 0.006 °C.month−1, while burned areas decreased by − 111.13 km2.month−1. These findings underscore the intricate relationship between climate variables and fire occurrences, highlighting the urgent need for policies addressing climate change and environmental degradation in the Amazon. [ABSTRACT FROM AUTHOR]

Understanding the effects of mining activities on Amazonian streams and their impact on aquatic communities is of paramount importance in the current context of resource overexploitation in society. In this study, we assessed the significance of the environment and interspecific interactions on the organization patterns of semiaquatic insect species in a mineral extraction region in the eastern Amazon. We utilized the morpho functional characteristics of 22 species from the suborder Gerromorpha (Heteropteran), considering both the abundance and sexual dimorphism of these species. Additionally, we quantified the density of riparian vegetation surrounding each stream to categorize sampling points and evaluate whether there are differences in species distribution patterns among categories. We sampled 16 sites, categorized into two treatments based on the percentage of riparian vegetation in forested and deforested areas located in the Capim River Basin. We did not find the action of environmental filters on the total assembly; however, we found significant morphological divergence for all the traits analyzed. On the other hand, the separation of streams into treatments with different portions of riparian vegetation showed that there are significant differences between them regarding species distribution patterns. Forested streams within a 500-m radius have species distributed over a larger area, indicating that these streams have greater resource availability or that species can use these resources more efficiently. Our results demonstrate the importance of riparian vegetation for the studied communities, as well as for mitigating the impacts caused by mining activities. [ABSTRACT FROM AUTHOR]

The rapid reduction of forests due to environmental impacts such as deforestation, global warming, natural disasters such as forest fires as well as various human activities is an escalating concern. The increasing frequency and severity of forest fires are causing significant harm to the ecosystem, economy, wildlife, and human safety. During dry and hot seasons, the likelihood of forest fires also increases. It is crucial to accurately monitor and analyze the large-scale changes in the forest cover to ensure sustainable forest management. Remote sensing technology helps to precisely study such changes in forest cover over a wide area over time. This research analyzes the impact of forest fires over time, identifies hotspots, and explores the environmental factors that affect forest cover change. Sentinel-2 imagery was utilized to study changes in Brunei Darussalam's forest cover area over five years from 2017 to 2022. An object-based approach, Simple Non-Iterative Clustering (SNIC), is employed to cluster the region using NDVI values and analyze the changes per cluster. The results indicate that the area of the clusters reduced where fire incidence occurred as well as the precipitation dropped. Between 2017 and 2022, the increased forest fires and decreased precipitation levels resulted in the change in cluster areas as follows: 66.11%, 69.46%, 68.32%, 73.88%, 77.27%, and 78.70%, respectively. Additionally, hotspots in response to forest fires each year were identified in the Belait district. This study will help forest managers assess the causes of forest cover loss and develop conservation and afforestation strategies. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of trade-related illicit financial flows (IFFs) on tropical deforestation. To adjust for pre-exposure differences in deforestation rates between countries exposed to IFFs and their counterfactuals, this study adopts propensity score matching and doubly robust weighted regression estimators. The results suggest substantial increases in forest loss in countries exposed to large IFFs. Specifically, the treated countries exposed to IFFs experience an annual increase in forest loss of approximately 10,344.167 hectares compared to their counterfactual controls. This finding is largely driven by macro-financial instability resulting from real currency depreciation and tax revenue losses due to illicit financial outflows. The results highlight the merit of capital controls and state ownership of assets in mitigating the impact of exposure to IFFs on forest loss. [ABSTRACT FROM AUTHOR]

Deforestation poses a significant environmental challenge that demands global efforts to address, aiming to preserve forest ecosystems and promote sustainable development worldwide. This study investigates the global phenomenon of deforestation convergence from 1990 to 2020 across 149 countries, employing state transition probabilities assessed using Markov chains, dispersion indicators, and average deforestation rates. The analysis indicates a consistent decrease in dispersion indicators and average deforestation rates observed across the studied countries over three decades, coupled with high probabilities of maintaining current forest ecosystem states. These findings suggest the presence of sigma and beta convergence phenomena in the shift towards sustainable development, akin to patterns observed in economic growth. Furthermore, our research identifies the emergence of a Kuznets curve based on deforestation growth rates and dispersion indicators relative to GDP per capita since 2010. This also suggests a potential global convergence in sustainable forest-related activities. Hence, it is clear that coordinating environmental development policies among countries is crucial for achieving global ecological stability. This underscores the necessity for proactive measures to ensure worldwide forest conservation and sustainable management. [ABSTRACT FROM AUTHOR]

AbstractThis study examines the effect of forest loss on child health and educational outcomes in Indonesia, a country that has experienced one of the highest deforestation rates in the world. In line with the findings in the medical and biological literature that deforestation can encourage the breeding of malaria-carrying mosquitoes through changes in local ecosystems, our estimation results show that deforestation significantly increases child fever but not other infectious diseases, implying an increased incidence of malaria infection due to deforestation. In addition, the results from the education analysis show that children exposed to larger-scale deforestation in early childhood are afterwards more likely to fall behind academically in terms of years of education. Various robustness checks suggest that these adverse health and educational effects are driven by forest loss but not by other possible preexisting trends or confounders. [ABSTRACT FROM AUTHOR]

Scholars have largely blamed shipbuilding for maritime expansion for being the main driver of deforestation in early modern Portugal. This article sets out to revisit the origins and reproduction of this narrative by analysing three interconnected elements in a case study of Lisbon's shipyards. Firstly, it studies the claims of forestry policies from the 1400s to the mid‐1600s. Secondly, it addresses Portuguese writers and foresters of the nineteenth century. Thirdly, it surveys the calculations of deforestation rates provided by Portuguese and foreign authors and foresters. Three main conclusions can be drawn: (1) scholars’ arguments that shipbuilding was chiefly responsible for deforestation are based on the claims set out in Portuguese forestry policies, (2) nineteenth‐century authors and writers stated multiple causes to explain the significant deforestation in early modern Portugal, and (3) it is very likely that the high deforestation rates that nineteenth‐ and early twentieth‐century authors reported are partially due to shifts in the meaning of ‘woodland’. [ABSTRACT FROM AUTHOR]

Forest change affects local and global climate by altering the physical properties of the land surface. Accurately assessing urban forest changes in local land surface temperature (LST) is a scientific and crucial strategy for mitigating regional climate change. Despite this, few studies have attempted to accurately characterize the spatial and temporal pattern of afforestation, reforestation, and deforestation to optimize their effects on surface temperature. We used the China Land Cover Dataset and knowledge criterion-based spatial analysis model to map urban forestation (e.g., afforestation and reforestation) and deforestation. We then analyzed the impacts of these activities on LST from 2010 to 2020 based on the moving window strategy and the spatial–temporal pattern change analysis method in the urban agglomerations of the Yangtze River Delta (YRD) and Pearl River Delta (PRD), China. The results showed that forest areas declined in both regions. Most years, the annual deforestation area is greater than the yearly afforestation areas. Afforestation and reforestation had cooling effects of −0.24 ± 0.19 °C and −0.47 ± 0.15 °C in YRD and −0.46 ± 0.10 °C and −0.86 ± 0.11 °C in PRD. Deforestation and conversion of afforestation to non-forests led to cooling effects in YRD and warming effects of 1.08 ± 0.08 °C and 0.43 ± 0.19 °C in PRD. The cooling effect of forests is more evident in PRD than in YRD, and it is predominantly caused by reforestation. Moreover, forests demonstrated a significant seasonal cooling effect, except for December in YRD. Two deforestation activities exhibited seasonal warming impacts in PRD, mainly induced by deforestation, while there were inconsistent effects in YRD. Overall, this study provides practical data and decision-making support for rational urban forest management and climate benefit maximization, empowering policymakers and urban planners to make informed decisions for the benefit of their communities. [ABSTRACT FROM AUTHOR]

Visceral leishmaniasis (VL) is an urgent public health concern in Brazil. We evaluated the spatiotemporal distribution of VL to better understand the effects of economic activities related to agriculture, livestock, and deforestation on its incidence in the Brazilian Legal Amazon (BLA). The data on newly confirmed cases of VL in Brazilian municipalities from 2007 to 2020 were extracted from the Brazilian Notifiable Diseases Information System (SINAN) and analyzed. The data on agricultural production (planted area in hectares) and livestock (total number of cattle) were obtained from the Brazilian Institute of Geography and Statistics (IBGE), whereas deforestation data (in hectares) were obtained from the Amazon Deforestation Estimation Project (PRODES). SatScan and the local indicators of spatial association (LISA) were used to identify the spatial and temporal patterns of VL and its relationships with economic and environmental variables. The cumulative incidence rate was found to be 4.5 cases per 100,000 inhabitants. Based on the LISA results, areas with a high incidence of VL and deforestation were identified in the states of Roraima, Pará, and Maranhão. Strengthening deforestation monitoring programs and environmental enforcement actions can help implement public policies to control illegal deforestation and mitigate the socio-environmental vulnerability in the BLA. Therefore, areas identified in this study should be prioritized for controlling VL. [ABSTRACT FROM AUTHOR]

High forest low deforestation jurisdictions (HFLDs) contain many of the world's last intact forests with historically low deforestation. Since carbon financing typically uses historical deforestation rates as baselines, HFLDs facing the prospect of future threats may receive insufficient incentives to be protected. We found that from 2002 to 2020, HFLDs (n = 310) experienced 44% higher deforestation rates than their historical baselines, and 60 HFLDs underwent periods of high deforestation (deforestation rate > 0.501%) at 0.983 ± 0.649% (mean ± SD)--a rate 7.5 times higher than the 10-y historical baseline of all HFLDs. For HFLDs to receive sufficient carbon finance requires baselines that can better reflect future deforestation trajectories of HFLDs. Using an empirical multifactorial model, we show that most contemporary HFLDs are expected to undergo higher deforestation from 2020 to 2038 than their historical baselines, with 72 HFLDs likely (>66% probability) to undergo high deforestation. Over the next 18 y, HFLDs are expected to lose 2.16 Mha y-1 of forests corresponding to 585 ± 74 MtCO2e y-1 (mean ± SE) of emissions. Efforts to protect HFLD forests from future threats will be crucial. In particular, improving baselining methods is key to ensuring that sufficient financing can flow to HFLDs to prevent deforestation. [ABSTRACT FROM AUTHOR]

The global human population was 8 billion in 2022 and it is projected to reach 9 billion by 2031, leading to a significant shift in environmental issues with a decline in biodiversity. We need to develop people-centred cities by 2050, since two-thirds of the total population is going to live in urban areas. Cities grow by urbanization of villages. As the cities grow, biodiversity is challenged. India is the second country in the world, next only to Brazil, where green cover is being significantly lost due to deforestation. Gomalas are the lands in the villages reserved for grazing by animals and serve as a lung space for humans when the villages are urbanized. It is time to act to maintain greenery of the gomalas for sustenance of lives in the urban environment. Maintenance of green cover with biodiversity is essential for sustenance of life. We have nearly 1.75 million species on our planet and many more are yet to be discovered. Biodiversity has continued to decline during the past two decades. Nearly 58% of vertebrates and 51% of freshwater species are now extinct and acceleration of extinction of 1,000-10,000 species is predicted during the next decade due to anthropogenic activities. The World Environmental Day theme for 2024 is to 'Protect, preserve and prosper for a greener future' for all on the planet with living and non-living systems in our environment. [ABSTRACT FROM AUTHOR]

We aimed at an inventory of all populations of wild Phaseolus (bean) species in Costa Rica, in relation to future plant breeding. During the field work in 2003–2018, three new and rare bean species (i.e. P. albicarminus, P. angucianae and P. hygrophilus) were found in different montane forest habitats which originally occupy a small acreage. Field observations, together with satellite images, indicate deforestation due to coffee plantations or pastures. To date only eleven populations of these species are known, distributed along the Talamanca and Fila Cruces mountainous ranges, making them endemic. Their narrow distribution, deforestation affecting the original habitats, and occurrence outside established and enforced protected areas motivate the assessment of their conservation status as ‘Endangered' (EN). [ABSTRACT FROM AUTHOR]

Agroforestry is practiced in Africa for food production and reducing biodiversity loss among others. Despite the potential of agroforestry, inadequate information exists on how women and youth practice it to combat food insecurity and income poverty in semi-arid lands. We assessed the contributions of women and youth in agroforestry to enhance food security and income generation. Data collection methods included household surveys, focus group discussions, and key informant interviews. We employed Kruskal-Wallis statistical test to examine variations in responses between villages using SPSS, while content analysis was applied for qualitative data. Estimated mean crop yields in tons per hectare for agroforestry included: maize (1.98), sunflower (1.43), millet (2.34), sorghum (1.92), and cassava (32.1). For land without agroforestry, the yields were 1.08, 1.50, 1.72, 1.02, and 36.8 tons per hectare, respectively. The estimated average annual income per household from agroforestry was Tsh 1,367,304 (USD 586), compared to Tsh 767,211 (USD 329) from non-agroforestry systems. The main scholarly contributions of the paper are that engaging women and youth in agroforestry improves food security and alleviate poverty in Africa. Therefore, women and youth should receive technical and financial support to practice agroforestry for sustainable food production and reduced income poverty. [ABSTRACT FROM AUTHOR]

The authors offer a commentary on the article "Commentary: The role of palaeoecology in reconciling biodiversity conservation, livelihoods and carbon storage in Madagascar" by G. S. Joseph and C. L. Seymour. Topics include the investigation made by the authors on the longevity of open grasslands in the Highlands of Madagascar, reason that binary allocations to forest and/or grassland habitats are problematic, and evidence for the effects of anthropogenic fire according to Seymour and Joseph.

Conservationists have long argued that inadequate funding for managing protected areas (PAs) jeopardizes their ability to achieve conservation goals. However, this claim has rarely been substantiated by quantitative evaluations. To address this, we examined the impact of funding on PA effectiveness both at the scale of 17 national PA systems across Latin America and within a PA system (Ecuador), for which we had precise historical financial data. Most PAs reduced deforestation between 2000 and 2010, demonstrating their crucial role in forest conservation. However, large deficits in funding considerably reduced the effectiveness of PAs in Ecuador (on average, a unit decrease in deficit leads to a 3.07% increase in effectiveness in avoiding deforestation). While differences in effectiveness between individual PAs in Ecuador were associated with funding deficits, national-level socioeconomic metrics (e.g., the Human Development Index) were the major factor when comparing PA system-level effectiveness among countries. This result suggests that while funding plays a major role in the performance of individual PAs, the quality of the socioeconomic context at the country level is critical for the overall performance of the PA systems. We, therefore, emphasize that maximizing the effectiveness of PAs requires a multilevel approach that includes better and more strategic resource allocation for individual PAs, combined with actions for strengthening the governance and institutions that regulate PA systems. [ABSTRACT FROM AUTHOR]

Drama has been shown to change attitudes and inspire action on topics as diverse as health, sanitation, intergroup conflict, and gender equality, but rarely have randomized trials assessed the influence of narrative entertainment programs focusing on climate change and environmental protection. We report the results of an experiment in which young Indonesian adults were sampled from five metropolitan areas. Participants were randomly assigned to watch a condensed two-hour version of a new award-winning TV drama series #CeritaKita (Our Story)--and accompanying social media discussion program Ngobrolin #CeritaKita (Chatter--Our Story)--as opposed to a placebo drama/discussion that lacked climate and environmental content. Outcomes were assessed via survey 1-7 days after exposure to the shows, and through a follow up survey after 5 months. We find that the treatment group became significantly more knowledgeable about environmental issues such as deforestation, an effect that persists long term. Other outcomes, such as motivation to participate in public discussion on climate change, willingness to follow influencers who post about environmental issues on social media, support for policies to address climate change and support for more media coverage of this issue, moved initially after viewing but subsided over time, possibly due to lack of continued exposure and other changes in context. This pattern of results suggests that ongoing/seasonal programming may be needed in order to sustain attitudinal and behavioral change. [ABSTRACT FROM AUTHOR]

Anthropogenic land cover change is directly responsible for the deforestation and degradation of tropical forests. In this context, assessing soil organic carbon (SOC) stocks is key to understanding the impact of anthropogenic activities on SOC so that we can implement management practices that effectively reduce emissions or promote carbon sequestration. Our objective was to assess the effect of land-use change on the dynamics and distribution of SOC in three systems (agriculture, pasture and agroforestry) after 40 years of deforestation in a tropical dry forest in the central–eastern region of Honduras. For this purpose, the bulk density, percentage of coarse fragments (>2 mm) and soil organic carbon content were determined at three depths (0.00–0.10 m, 0.10–0.20 m and 0.20–0.30 m). The results showed an increase in bulk density for all new uses, although soil compaction had not yet occurred. In terms of total soil organic carbon (TOC) stocks, deforestation caused a decrease from 17% to 48% in agricultural and agroforestry soils, respectively; on the other hand, grasslands did not show significant differences compared to tropical dry forest, suggesting that they have a high potential as carbon sinks in deforested tropical areas. However, this did not imply a better state of the system, as the greatest increases in bulk density were found in pastures. [ABSTRACT FROM AUTHOR]

Carnivore guilds are charismatic and have vital and irreplaceable roles in their native ecosystems, yet many of these species are threatened and remain understudied. Borneo is a biodiversity hotspot that hosts a rich diversity of endemic wildlife but is threatened by deforestation and habitat loss. Using cameras placed by the Smithsonian Institution in Sabah, Borneo, we assessed the detection rates and diel activity patterns of the native felid species. Across 51 camera trap sites between 2016 and 2019, felids were detected 55 times across a combined 9958 trap nights, including 20 independent detection events for Sunda leopard cats, 15 for Sunda clouded leopards, 12 for Borneo bay cats, and 5 for marbled cats, with no detections of flat‐headed cats. Collectively, this demonstrates the challenge of sampling cryptic species that have declined due to habitat loss and conflict with humans. Despite this, we show that Borneo bay cats and marbled cats exhibited different diel activity patterns than Sunda cloud leopards, suggesting the smaller species use temporal displacement to avoid competition and predation. Sunda leopard cats exhibited broadly similar activity patterns to Sunda clouded leopard, potentially because the two species typically occupy different dietary and habitat niches. These results demonstrate the importance of devoting future research towards monitoring these species and understanding the mechanisms by which they co‐exist. [ABSTRACT FROM AUTHOR]

[Display omitted] • Blood source analysis shows complex interactions in diverse habitats favoring pathogen transmission in disturbed environments. • Significant correlations were found between Rhodnius prolixus and specific environments. • Adult insects exhibit higher parasitic loads in dwelling and pasture habitats. Chagas disease affects millions of people in Colombia and worldwide, with its transmission influenced by ecological, environmental, and anthropogenic factors. There is a notable correlation between vector transmission cycles and the habitats of insect vectors of the parasite. However, the scale at which these cycles operate remains uncertain. While individual triatomine ecotopes such as palms provide conditions for isolated transmission cycles, recent studies examining triatomine blood sources in various habitats suggest a more intricate network of transmission cycles, linking wild ecotopes with human dwellings. This study aims to provide further evidence on the complexity of the scale of Trypanosoma cruzi transmission cycles, by exploring the different blood sources among developmental stages of infected triatomines in different habitats. We evaluated infection rates, parasite loads, feeding sources, and the distribution of Rhodnius prolixus insects in Attalea butyracea palms across three distinct habitats in Casanare, Colombia: peridomestics, pastures, and woodlands. Our results show that there is no clear independence in transmission cycles in each environment. Analyses of feeding sources suggest the movement of insects and mammals (primarily bats and didelphids) among habitats. A significant association was found between habitat and instar stages in collected R. prolixus. The N1 stage was correlated with pasture and woodland, while the N4 stage was related to pasture. Additionally, adult insects exhibited higher T. cruzi loads than N1, N2, and N3. We observed higher T. cruzi loads in insects captured in dwelling and pasture habitats, compared with those captured in woodland areas. Effective Chagas disease control strategies must consider the complexity of transmission cycles and the interplay between domestic and sylvatic populations of mammals and vectors. [ABSTRACT FROM AUTHOR]

Tropical forests are being reduced by human activities. The use of fire for agricultural expansion generates areas dominated by the bracken fern Pteridium, where forest regeneration is slow. This may be caused by seed limitation, especially of animal‐dispersed seeds, due to the absence of seed dispersers from the forest in deforested areas, calling for restoration strategies to assist forest regeneration. We installed bird perches and artificial bat roosts to evaluate their effect on the density, species richness, and composition of animal‐dispersed seeds and seedlings of tree and non‐tree species in bracken‐dominated areas in the tropical montane forest of Bolivia. We found that perches and bat roosts increased the density and species richness of animal‐dispersed seeds and established seedlings. The seeds and seedlings dispersed by birds were clumped under the perches, while the seeds and seedlings dispersed by bats were distributed around the roosts. Perches had a higher density and species richness of seeds and seedlings compared to bat roosts, suggesting that the use of perches could be a better option as a restoration tool in bracken‐dominated areas. The increase in seed rain and seedling establishment of animal‐dispersed species in perches and bat roosts supports seed limitation, hindering forest succession in bracken‐dominated areas. The use of bird perches accompanying other restoration techniques is a promising restoration strategy to accelerate forest regeneration in tropical areas dominated by Pteridium, which are widely distributed. [ABSTRACT FROM AUTHOR]

The African continent, renowned for its diverse landscapes and abundant biodiversity, grapples with a critical environmental challenge - deforestation. The swift depletion of forests, serving as the primary habitat for 80% of the world's terrestrial animals and plants, poses a severe threat in Africa. Human activities, including logging, agricultural expansion, and urbanization, have jeopardized numerous ecosystems, exacerbating the overarching global climate crisis. Beyond serving as mere collections of trees, forests are intricate ecosystems supporting a staggering diversity of flora and fauna. The repercussions of forest loss in Africa are profound, resulting in a significant decline in biodiversity. Numerous species, some exclusive to these ecosystems and found nowhere else on the planet, now teeter on the brink of extinction. The predicament of deforestation in Africa is intimately intertwined with the broader global challenge of climate change. Urgency is paramount in addressing this crisis, as the loss of forests impacts not only local ecosystems but also exacerbates the overarching climate emergency. Reforestation emerges as a pivotal solution, offering an opportunity to reverse the damage inflicted on these vital ecosystems. This study examines whether forest natural resources can explain the environmental Kuznets curve hypothesis in African countries. The empirical strategy is based on the second-generation cointegration approach, cross-sectional dependency autoregressive distributed lag (CS-ARDL) and Augmented Mean Group (AMG) estimator. The findings show a potential long-run relationship between the forest rent and the environment. Further analysis highlights the importance of effective management of natural forest resources for improving environmental quality in Africa. We recommend that policymakers prioritize the restoration of ecosystems that have suffered carbon depletion due to human activities. Restoration efforts should strategically aim to enhance carbon sequestration capacity and rebuild biodiversity. Additionally, the establishment of robust monitoring and reporting systems is imperative to track current carbon emissions from forests. This entails regular assessments of forest carbon stocks, landuse changes, and the effectiveness of ongoing conservation and restoration initiatives. [ABSTRACT FROM AUTHOR]

Trees provide vital ecosystem services, yet anthropogenic activities have continued to reduce tree cover (TC) globally, leading to disparities in the distribution of ecosystem services at various scales. Similarly, empirical analysis of indicators that measure variations in TC at various temporal and spatial scales is limited in the semi-arid regions where global environmental challenges such as climate change are already affecting TC distribution. This paper quantified recent (2017 - 2019) TC changes in the semi-arid region of Ghana using Sentinel-2 times series data and the application of landscape metrics. The results showed that TC declined by 30% within two years. Urbanizing areas showed more rapid TC depletion rates, while some rural areas experienced a slight increase in TC. The findings suggest the need for local environmental governance by consolidating actions towards conserving semi-arid TC. Sustainable charcoal and fuelwood production are imperative for a long-term sustainable supply of ecosystem services. [ABSTRACT FROM AUTHOR]

Forest is one the symbols values of the native centric ecology, it enhances biodiversity, interconnectedness of species and sacredness of nature. The destruction of forests in Nigeria represents a complex and pressing challenge with far-reaching implications for cultural conservation, environment, and society. Although, forest is criticized as a home of evil that hinders urbanization but the consequences of the destruction of forests have led to the loss of eco-spirituality, biodiversity loss, climate change, environmental degradation, soil erosion, and many others. Using the philosophical method of analysis, this study maintains that the forest is eco-spiritual, a symbol of identity and culture, revered as a sacred space by indigenous communities across Nigeria. Addressing the challenges of forest in Nigeria requires concerted efforts from multiple stakeholders, including governments, civil society organizations, indigenous communities, and the private sector, to implement the indigenous ecological wisdom of the native-centric ecology. Native-centric ecology involves the ecological restoration, the eco-spirituality and the intrinsic worth's of forest will help to restore cultural heritage and ecological diversity. This is a holistic conservation strategy that prioritizes community participation for sustainable development and continuous of forest and its resources without destroying the self including ecological posterity and restoration of the sacred groves. [ABSTRACT FROM AUTHOR]

The Teknaf Wildlife Sanctuary (TWS), situated in the southeastern part of Bangladesh, is a crucial forest biodiversity hotspot in Bangladesh currently having tremendous pressure due to various socioeconomic factors. The key objective of the study is to find out the degradation of the forest cover by land use and land cover (LULC) classification of TWS from 1991 to 2021 using Google Earth Engine (GEE) application programming interface (API)-based supervised classification approaches. The study used satellite and key informant interviews (KIIs) data to detect the forest landscape’s degradation and find the potential solution to combat the degradation. It also used ArcGIS spatial analysis tools for LULC change detection and mapping. The investigation found that the dense forest vegetation in the TWS decreased by 1389 ha from 1991 (4665 ha) to 2021 (3277 ha), which is 12% of the study area. Similarly, the agricultural land, covering 3.34% of TWS, decreased by 388 ha from 1991 to 2021. The human settlement, light forests, and built-up areas showed an increase of 8% (930 ha), 6% (694 ha), and 1.3% (148 ha), respectively, in the last three decades. Although the increment of the built-up area is small, it poses severe threats to the biodiversity and flow of ecosystem services from TWS. The KIIs indicated that the Rohingya influx, overexploitation by high population density, lack of mass awareness, illegal felling, expansion of human settlements, and fuelwood supply to the brick fields, factories, government and non-government organization’s offices and warehouses are abiotic drivers of forest degradation. At the same time, cyclones, reduced rainfall, and increased temperature were the natural causes. The study suggested measures to combat the degradation of the forest landscape, enabling policymakers to plan measures to retard further degradation of the TWS and conserve the threatened and rare species for reinstalling the ecosystem services. [ABSTRACT FROM AUTHOR]

Tropical dry forests are the most threatened of all the major tropical forest types and less than 25% of TDF currently remain worldwide. They are located mostly in South America. Parameters such as habitat loss, fragmentation and loss of connectivity have been identified as the main threats to biodiversity. This research aims to discover the forests changes, the evolution of connectivity and fragmentation of the South American tropical dry forest between 1992 and 2020. Land uses layers provided by the Copernicus program were employed, and land uses change, fragmentation and structural connectivity were analyzed in GIS systems. To calculate the functional connectivity, the Graphab software was used. The results showed a loss of forest surface, where fragmentation increased and a loss of functional connectivity between 25% and 49% occurs depended on the parameter analysed. On the other hand, some areas were recovered. Brazil is the country that recovered the most forest area and Argentina, Paraguay and Bolivia those that lost the most area. Only 31% of the area was not altered between 1992 and 2020. Human activities such as deforestation, agriculture expansion, and urbanization have led these forests to become increasingly fragmented and worse connected impacting on both ecological and socio-economic aspects. Supranational measures must be taken to mitigate the negative impacts of fragmentation and the loss of connectivity. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study evaluated vegetation management (VM) strategies under electricity distribution lines (EDLs) through ecosystem service (ES) criteria. Deforestation, worsened by insufficient VM practices, poses a threat to ecosystem stability. Using a hybrid FAHP (Fuzzy Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach, ten VM strategies were assessed based on 15 ES criteria. The FAHP results identified biodiversity, timber resources, and erosion control as the most crucial criteria due to their significant weights. The TOPSIS analysis determined that VM6 (creation and restoration of scrub edges) was the most effective strategy, achieving a value of 0.744 for reducing deforestation and enhancing energy security. VM6 helps preserve forest cover and protect infrastructure by creating a "V"-shaped structures within the EDLs corridor. This study underscores the importance of ES-oriented VM strategies for sustainable vegetation management and deforestation mitigation. It also highlights the need for incorporating scientific, ES-based decision support mechanisms into VM strategy development. Future research should expand stakeholder perspectives and conduct a comprehensive assessment of ESs to ensure that VM strategies align with ecological and socio-economic sustainability. This study provides a framework for improving VM practices and offers directions for future sustainable energy management research. This study focuses exclusively on ecological criteria for evaluating VM strategies, neglecting other dimensions. Future research should use methods like ANP and fuzzy cognitive maps to explore inter-dimension relationships and their strengths. Additionally, employing SWARA, PIPRECIA, ELECTRE, and PROMETHEE for ranking VM strategies is recommended. [ABSTRACT FROM AUTHOR]

Piper mollicomum Kunth (Piperaceae) plays a vital role in the preservation of the Brazilian Atlantic Forest by contributing to the regeneration of deforested areas. Recent scientific investigations have analyzed the chemical constituents and seasonal dynamics of essential oils (EO) from various Piper L. species, highlighting the need to elucidate their chemical–ecological interactions. This study aims to expand the chemical–ecological knowledge of this important taxon in neotropical forests, using P. mollicomum as a model. The methodologies employed include the collection of plant material, EO extraction by hydrodistillation, analysis of EO by gas chromatography–mass spectrometry (GC–MS) and gas chromatography–flame ionization detector (GC–FID), recording the frequency of visits by potential pollinators and microclimatic variables, and by conducting calculations of chemodiversity and chemophenetic indices. Chemical analyses indicated that the diversity of EO and environmental factors are linked to the activities of potential pollinators. In the Tijuca Forest, P. mollicomum revealed significant interactions between its volatile constituents and microclimatic variables, showing that the chemodiversity of the leaves and reproductive organs correlates with pollinator visitation. Additionally, a notable difference in chemical evenness was observed between these vegetative structures. The chemophenetic indices by Ramos and Moreira also revealed correlations with chemical diversity. [ABSTRACT FROM AUTHOR]

The integrated use of remote sensing and machine learning stands out as a powerful and well-established approach for dealing with various environmental monitoring tasks, including deforestation detection. In this paper, we present a tunable, data-driven methodology for assessing deforestation in the Amazon biome, with a particular focus on protected conservation reserves. In contrast to most existing works from the specialized literature that typically target vast forest regions or privately used lands, our investigation concentrates on evaluating deforestation in particular, legally protected areas, including indigenous lands. By integrating the open data and resources available through the Google Earth Engine, our framework is designed to be adaptable, employing either anomaly detection methods or artificial neural networks for classifying deforestation patterns. A comprehensive analysis of the classifiers' accuracy, generalization capabilities, and practical usage is provided, with a numerical assessment based on a case study in the Amazon rainforest regions of São Félix do Xingu and the Kayapó indigenous reserve. [ABSTRACT FROM AUTHOR]

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Forest ecosystems are critical components of Earth's biodiversity and play vital roles in climate regulation and carbon sequestration. They face increasing threats from deforestation, wildfires, and other anthropogenic activities. Timely detection and monitoring of changes in forest landscapes pose significant challenges for government agencies. To address these challenges, we propose a novel pipeline by refining the U-Net design, including employing two different schemata of early fusion networks and a Siam network architecture capable of processing RGB images specifically designed to identify high-risk areas in forest ecosystems through change detection across different time frames in the same location. It annotates ground truth change maps in such time frames using an encoder–decoder approach with the help of an enhanced feature learning and attention mechanism. Our proposed pipeline, integrated with ResNeSt blocks and SE attention techniques, achieved impressive results in our newly created forest cover change dataset. The evaluation metrics reveal a Dice score of 39.03%, a kappa score of 35.13%, an F1-score of 42.84%, and an overall accuracy of 94.37%. Notably, our approach significantly outperformed multitasking model approaches in the ONERA dataset, boasting a precision of 53.32%, a Dice score of 59.97%, and an overall accuracy of 97.82%. Furthermore, it surpassed multitasking models in the HRSCD dataset, even without utilizing land cover maps, achieving a Dice score of 44.62%, a kappa score of 11.97%, and an overall accuracy of 98.44%. Although the proposed model had a lower F1-score than other methods, other performance metrics highlight its effectiveness in timely detection and forest landscape monitoring, advancing deep learning techniques in this field. [ABSTRACT FROM AUTHOR]

This study comprehensively analyses spatiotemporal land use/land cover (LULC) dynamics within a 10-km buffer zone surrounding Volcanoes National Park (VNP), Rwanda, from 2000 to 2019, integrating biophysical and socio-economic drivers. It aims to quantify LULC change extent, rate, and type around VNP and inside the park; identify socio-economic, demographic, and policy drivers of LULC change; and evaluate the impact of LULC changes on VNP's biodiversity via habitat fragmentation, connectivity, and species diversity. Employing remote sensing, spatial modelling, and field data, we reveal profound transformations within the park's periphery. Forests and woodlots have significantly declined, replaced by agriculture, grasslands, and built-up areas, particularly in the 5.1–10 km belt (92.29% forest loss). While reforestation efforts exist, they are outpaced by deforestation, creating a stark deforestation-to-reforestation ratio of 12:1 in the 5.1 10 km belt and 6:1 in the 0–5 km belt. This alarming trend threatens VNP's biodiversity as resource dependent communities continue to extract firewood, construction materials, and beanpoles from the park. To mitigate these impacts, we propose integrated strategies encompassing strengthened law enforcement, sustainable land management practices, community-based conservation initiatives, and alternative livelihood development. [ABSTRACT FROM AUTHOR]

Since the 1970s, remote sensing has been used to monitor the environment, address national security concerns, and manage Earth resources within a market framework. However, environmental organizations can also utilize remote sensing data infrastructure to support oppositional narratives, legal processes, and direct action. We present a framework for the socio-technical practice of remote sensing in alliance with those communities and organizations that are struggling for environmental justice on the global commodity frontiers. Positioned at the intersection of critical geography and political ecology, we examine the ways that critical remote sensing has been adopted in five major types of environmental conflict: struggles opposing fossil fuel exploitation, timber extraction, intensive food production, water management practices, and the effects of mining. We present a baseline inventory of remote sensing resources that are useful to the five conflict types and are freely accessible online. A global perspective on the planetary environmental crisis is essential, and we suggest that remote sensing practitioners can, through workshops or online tutorials, help environmental justice organizations towards independent use of remote sensing data. The local communities should then determine whether remote sensing products can contribute to their struggles. [ABSTRACT FROM AUTHOR]

Satellite-based remote sensing approaches provide a cost-efficient means to collect information on the world’s forests and to repeatedly survey large, or inaccessible, forest areas. However, it may not always be possible to ground truth–associated findings using direct ecological field surveys conducted by trained forest scientists. Local ecological knowledge (LEK) is an alternative form of data which could be used to complement, interpret and verify information from satellite data. Using a case study on the Democratic People’s Republic of Korea (North Korea), we evaluate the potential for integrating remote sensing and LEK data, gathered with non-specialist former residents, to understand patterns and drivers of forest cover change. LEK reports often concurred with, or provided key information to enable interpretation of, satellite data. This revealed that between 1986 and 2021, North Korea experienced high, but uneven, rates of deforestation. There was a pronounced northwards deforestation shift in the mid-1990s, coinciding with a period of extreme hardship and famine (the “Arduous March”), and associated with clearance of trees in more forested northern provinces as an economic and fuel resource, and conversion of forest to agricultural cropland. Loss of forest cover in North Korea has continued and recently accelerated, to a rate of > 200 km2 per annum between 2019 and 2021. This increases the vulnerability of North Korean socio-ecological systems to future environmental change and is an obstacle to the recovery of threatened species across the Korean Peninsula. We recommend that LEK- and remote sensing–based approaches are considered within a suite of complementary techniques to analyse forest changes where ecological field surveys cannot be conducted. [ABSTRACT FROM AUTHOR]

Forests provide invaluable ecosystem services, including critical services such as climate regulation. Increasing rates of deforestation in Brazil, home of some of the world's largest and most ecologically diverse tropical forests, poses several threats to businesses; companies face the challenge of intensified physical risks, stringent regulations, and pressure from investors and consumers demanding low‐carbon investment and product practices. This study investigated a sample of 232 listed Brazilian companies to understand their awareness of the forest agenda and commitment to forest protection. Although most companies are aware of forest‐related issues, risk management and impact monitoring are lacking. This analysis provides qualitative insights into listed Brazilian companies' perceptions of forest‐related issues, demonstrating the need to raise risk awareness and increase engagement. The study findings suggest that regulatory measures can leverage corporate disclosure of forest engagement, encouraging risk reduction and maximizing opportunities aligned with the climate agenda. [ABSTRACT FROM AUTHOR]