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Groundwater is the most ubiquitous source of liquid freshwater globally, yet its role in supporting diverse ecosystems is rarely acknowledged1,2. However, the location and extent of groundwater-dependent ecosystems (GDEs) are unknown in many geographies, and protection measures are lacking1,3. Here, we map GDEs at high-resolution (roughly 30 m) and find them present on more than one-third of global drylands analysed, including important global biodiversity hotspots4. GDEs are more extensive and contiguous in landscapes dominated by pastoralism with lower rates of groundwater depletion, suggesting that many GDEs are likely to have already been lost due to water and land use practices. Nevertheless, 53% of GDEs exist within regions showing declining groundwater trends, which highlights the urgent need to protect GDEs from the threat of groundwater depletion. However, we found that only 21% of GDEs exist on protected lands or in jurisdictions with sustainable groundwater management policies, invoking a call to action to protect these vital ecosystems. Furthermore, we examine the linkage of GDEs with cultural and socio-economic factors in the Greater Sahel region, where GDEs play an essential role in supporting biodiversity and rural livelihoods, to explore other means for protection of GDEs in politically unstable regions. Our GDE map provides critical information for prioritizing and developing policies and protection mechanisms across various local, regional or international scales to safeguard these important ecosystems and the societies dependent on them.

The expansion of marine protected areas (MPAs) is a core focus of global conservation efforts, with the 30x30 initiative to protect 30% of the ocean by 2030 serving as a prominent example of this trend. We consider a series of proposed MPA network expansions of various sizes, and we forecast the impact this increase in protection would have on global patterns of fishing effort. We do so by building a predictive machine learning model trained on a global dataset of satellite-based fishing vessel monitoring data, current MPA locations, and spatiotemporal environmental, geographic, political, and economic features. We then use this model to predict future fishing effort under various MPA expansion scenarios compared to a business-as-usual counterfactual scenario that includes no new MPAs. The difference between these scenarios represents the predicted change in fishing effort associated with MPA expansion. We find that regardless of the MPA network objectives or size, fishing effort would decrease inside the MPAs, though by much less than 100%. Moreover, we find that the reduction in fishing effort inside MPAs does not simply redistribute outside-rather, fishing effort outside MPAs would also decline. The overall magnitude of the predicted decrease in global fishing effort principally depends on where networks are placed in relation to existing fishing effort. MPA expansion will lead to a global redistribution of fishing effort that should be accounted for in network design, implementation, and impact evaluation.

Ninu (greater bilby, Macrotis lagotis) are desert-dwelling, culturally and ecologically important marsupials. In collaboration with Indigenous rangers and conservation managers, we generated the Ninu chromosome-level genome assembly (3.66 Gbp) and genome sequences for the extinct Yallara (lesser bilby, Macrotis leucura). We developed and tested a scat single-nucleotide polymorphism panel to inform current and future conservation actions, undertake ecological assessments and improve our understanding of Ninu genetic diversity in managed and wild populations. We also assessed the beneficial impact of translocations in the metapopulation (N = 363 Ninu). Resequenced genomes (temperate Ninu, 6; semi-arid Ninu, 6; and Yallara, 4) revealed two major population crashes during global cooling events for both species and differences in Ninu genes involved in anatomical and metabolic pathways. Despite their 45-year captive history, Ninu have fewer long runs of homozygosity than other larger mammals, which may be attributable to their boom-bust life history. Here we investigated the unique Ninu biology using 12 tissue transcriptomes revealing expression of all 115 conserved eutherian chorioallantoic placentation genes in the uterus, an XY1Y2 sex chromosome system and olfactory receptor gene expansions. Together, we demonstrate the holistic value of genomics in improving key conservation actions, understanding unique biological traits and developing tools for Indigenous rangers to monitor remote wild populations.

Legacy effects describe the persistent, long-term impacts on an ecosystem following the removal of an abiotic or biotic feature. Redlining, a policy that codified racial segregation and disinvestment in minoritized neighborhoods, has produced legacy effects with profound impacts on urban ecosystem structure and health. These legacies have detrimentally impacted public health outcomes, socioeconomic stability, and environmental health. However, the collateral impacts of redlining on wildlife communities are uncertain. Here, we investigated whether faunal biodiversity was associated with redlining. We used home-owner loan corporation (HOLC) maps [grades A (i.e., "best" and "greenlined"), B, C, and D (i.e., "hazardous" and "redlined")] across four cities in California and contributory science data (iNaturalist) to estimate alpha and beta diversity across six clades (mammals, birds, insects, arachnids, reptiles, and amphibians) as a function of HOLC grade. We found that in greenlined neighborhoods, unique species were detected with less sampling effort, with redlined neighborhoods needing over 8,000 observations to detect the same number of unique species. Historically redlined neighborhoods had lower native and nonnative species richness compared to greenlined neighborhoods across each city, with disparities remaining at the clade level. Further, community composition (i.e., beta diversity) consistently differed among HOLC grades for all cities, including large differences in species assemblage observed between green and redlined neighborhoods. Our work spotlights the lasting effects of social injustices on the community ecology of cities, emphasizing that urban conservation and management efforts must incorporate an antiracist, justice-informed lens to improve biodiversity in urban environments.

As representative of the water-energy-food nexus, fossil fuel development and industrial agriculture are rural industries that continue to expand and increasingly occur in the same areas. Being a top agricultural export county and the fossil fuel capital of California while ranking among the worst in the US for industrial pollution, Kern County is a poster child of rural nexus development and, thus, an essential place for initiating sustainability transitions. Such transitions rely on policy support and the adoption of methods by individuals and communities who may disagree with such changes. While sense of place and impact perceptions are recognized as playing critical roles in sustainability management, they have yet to be utilized in nexus research. A survey (N = 256) of the perceived impacts of nexus industries with place meaning and place attachment as possible drivers for perceptions was conducted in nexus industry pollution exposure risk zones. Factor analysis and bivariate correlations showed that place meaning and place attachment are drivers for perceptions while also being drivers for concern for changes in nexus industries. While perceptions of impacts indicated contested place meanings, participants strongly perceive the economy and environment as being in decline. To build support for sustainability policy, directing funds from Kern Countys renewable energy industry to local sectors of society, implementation of regenerative agriculture, cooperative management, and nurturing place meaning as aligned with natures restorative quality are important paths forward. These nexus management foci could strengthen place attachment, build trust in government, and repair environmental alienation.

Contemporary resource management is doubly burdened by high rates of organic material disposal in landfills, generating potent greenhouse gases (GHG), and globally degraded soils, which threaten future food security. Expansion of composting can provide a resilient alternative, by avoiding landfill GHG emissions, returning valuable nutrients to the soil to ensure continued agricultural production, and sequestering carbon while supporting local communities. Recognizing this opportunity, California has set ambitious organics diversion targets in the Short-Lived Climate Pollutant Law (SB1383) which will require significant increases (5 to 8 million tonnes per year) in organic material processing capacity. This paper develops a spatial optimization model to consider how to handle this flow of additional material while achieving myriad social and ecological benefits through compost production. We consider community-based and on-farm facilities alongside centralized, large-scale infrastructure to explore decentralized and diversified alternative futures of composting infrastructure in the state of California. We find using a diversity of facilities would provide opportunity for cost savings while achieving significant emissions reductions of approximately 3.4 ± 1 MMT CO2e and demonstrate that it is possible to incorporate community protection into compost infrastructure planning while meeting economic and environmental objectives.

The fundamental goal of a rare plant translocation is to create self-sustaining populations with the evolutionary resilience to persist in the long term. Yet, most plant translocation syntheses focus on a few factors influencing short-term benchmarks of success (e.g., survival and reproduction). Short-term benchmarks can be misleading when trying to infer future growth and viability because the factors that promote establishment may differ from those required for long-term persistence. We assembled a large (n = 275) and broadly representative data set of well-documented and monitored (7.9 years on average) at-risk plant translocations to identify the most important site attributes, management techniques, and species' traits for six life-cycle benchmarks and population metrics of translocation success. We used the random forest algorithm to quantify the relative importance of 29 predictor variables for each metric of success. Drivers of translocation outcomes varied across time frames and success metrics. Management techniques had the greatest relative influence on the attainment of life-cycle benchmarks and short-term population trends, whereas site attributes and species' traits were more important for population persistence and long-term trends. Specifically, large founder sizes increased the potential for reproduction and recruitment into the next generation, whereas declining habitat quality and the outplanting of species with low seed production led to increased extinction risks and a reduction in potential reproductive output in the long-term, respectively. We also detected novel interactions between some of the most important drivers, such as an increased probability of next-generation recruitment in species with greater seed production rates, but only when coupled with large founder sizes. Because most significant barriers to plant translocation success can be overcome by improving techniques or resolving site-level issues through early intervention and management, we suggest that by combining long-term monitoring with adaptive management, translocation programs can enhance the prospects of achieving long-term success.

Global change is currently impacting ecosystems and their contributions to people (i.e. ecosystem services). These impacts have consequences for societies and human well-being, especially in Africa. Historically, efforts have focused on assessing global change from a social or biophysical perspective, treating them as separate entities. Yet, our understanding of impacts to social-ecological systems remains limited, particularly in the Global South, due to a lack of data, tools, and approaches accounting for social and ecological aspects of ecosystem services. This is especially relevant for cultural ecosystem services as they are less tangible. We use a simple indicator and important provider of a multitude of cultural ecosystem services, birding, to understand how climate, biodiversity, and land use change will impact cultural ecosystem services across Africa. We explore how emerging tools and data can overcome limitations in mapping and modeling cultural ecosystem services, particularly in analyzing human preferences and behavior at large spatiotemporal scales and in data-poor regions. Leveraging crowdsourced data from eBird and using machine learning techniques we map and model recreational birding to assess the underlying social-ecological relationships and the impact of future climate and environmental change. We show that bird species richness, protected areas, accessibility, and max temperature contribute most to birding suitability across the continent. Further, we show spatial shifts in the suitability of birding under three future climate scenarios (SSP126, 370, and 585). Models suggest climate and biodiversity change will increasingly constrain the flow of birding related cultural ecosystem services across Africa. This has implications for human-nature interactions, development of countries, management of protected areas, and overall human well-being in the future. More generally, we highlight opportunities for crowdsourced datasets and machine learning to integrate non-material ecosystem services in models and thus, enhance the understanding of future impacts to ecosystem services and human well-being.

Sub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate intactness scores: the remaining proportion of an intact reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the regions major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems.

Human-wildlife conflict is an important factor in the modern biodiversity crisis and has negative effects on both humans and wildlife (such as property destruction, injury, or death) that can impede conservation efforts for threatened species. Effectively addressing conflict requires an understanding of where it is likely to occur, particularly as climate change shifts wildlife ranges and human activities globally. Here, we examine how projected shifts in cropland density, human population density, and climatic suitability-three key drivers of human-elephant conflict-will shift conflict pressures for endangered Asian and African elephants to inform conflict management in a changing climate. We find that conflict risk (cropland density and/or human population density moving into the 90th percentile based on current-day values) increases in 2050, with a larger increase under the high-emissions regional rivalry SSP3 - RCP 7.0 scenario than the low-emissions sustainability SSP1 - RCP 2.6 scenario. We also find a net decrease in climatic suitability for both species along their extended range boundaries, with decreasing suitability most often overlapping increasing conflict risk when both suitability and conflict risk are changing. Our findings suggest that as climate changes, the risk of conflict with Asian and African elephants may shift and increase and managers should proactively mitigate that conflict to preserve these charismatic animals.

Terrestrial and ocean ecosystems are increasingly under threat from an array of anthropogenic pressures. And while threats mount, how people view and value nature is changing. In the United States (U.S.) in particular, there is a shift away from viewing nature as something to dominate, as evidenced in the decline in hunting. However, it is unclear if or how opinions around environmental issues and conservation need might differ when comparing ocean versus terrestrial ecosystems, especially given the prevalence and continued importance of wild capture fishing in the U.S. We employed two national parallel surveys, one focused on oceans, the other land, receiving responses from nearly every state in the U.S. (N = 1,973). While we found only slight, but statistically significant more concern for ocean habitats and animals over terrestrial ecosystems, this did not translate to increased willingness to monetarily support more ocean conservation actions. Using Random Forest models, we also found the best predictor of conservation need was feeling most impacted by environmental issues personally (self and/or community), regardless of ecosystem type. In fact, land versus sea (survey) had the lowest rank in the models, underscoring the importance of general nature-based interactions. Instead, the number of outdoor recreational activities was a highly ranked variable explaining the level of reported impact to self/community, with people who participate in 2 or more activities scoring higher levels of impact, on average. Notably, people who hunt and fish, versus only do one or the other, reported higher levels of impact and participated in more activities overall, providing a more nuanced finding regarding the nature dominance hypothesis. Voting, not political affiliation, was also important in explaining responses, and governmental mechanisms to fund conservation were favored over voluntary. Overall, our results add to the strong existing literature that access and connection to nature is key, but uniquely broad connection may float all boats, especially when diversified.

In response to biodiversity loss and biotic community homogenization in urbanized landscapes, there are increasing efforts to conserve and increase biodiversity within urban areas. Accordingly, around the world, previously extirpated species are (re)colonizing and otherwise infiltrating urban landscapes, while other species are disappearing from these landscapes. Tracking the occurrence of traditionally urban intolerant species and loss of traditionally urban tolerant species should be a management goal of urban areas, but we generally lack tools to study this phenomenon. To address this gap, we first used species occurrences from iNaturalist, a large collaborative dataset of species observations, to calculate an urban association index (UAI) for 967 native animal species that occur in the city of Los Angeles. On average, the occurrence of native species was negatively associated with our composite measure of urban intensity, with the exception of snails and slugs, which instead occur more frequently in areas of increased urban intensity. Next, we assessed 8,348 0.25 x 0.25 mile grids across the City of Los Angeles to determine the average grid-level UAI scores (i.e., a summary of the UAIs present in a grid cell, which we term Community Urban Tolerance Index or CUTI). We found that areas of higher urban intensity host more urban tolerant species, but also that taxonomic groups differ in their aggregate tolerance of urban areas, and that spatial patterns of tolerance vary between groups. The framework established here has been designed to be iteratively reevaluated by city managers of Los Angeles in order to track the progress of initiatives to preserve and encourage urban biodiversity, but can be rescaled to sample different regions within the city or different cities altogether to provide a valuable tool for city managers globally.

The global population consumes more seafood from aquaculture today than from capture fisheries and although the aquaculture industry continues to grow, both seafood sectors will continue to be important to the global food supply into the future. As farming continues to expand into ocean systems, understanding how wild populations and fisheries will interact with farms will be increasingly important to informing sustainable ocean planning and management. Using a spatially explicit population and fishing model we simulate several impacts from ocean aquaculture (i.e., aggregation, protection from fishing, and impacts on fitness) to evaluate the mechanisms underlying interactions between aquaculture, wild populations and fisheries. We find that aggregation of species to farms can increase the benefits of protection from fishing that a farm provides and can have greater impacts on more mobile species. Splitting total farm area into smaller farms can benefit fishery catches, whereas larger farms can provide greater ecological benefits through conservation of wild populations. Our results provide clear lessons on how to design and co-manage expanding ocean aquaculture along with wild capture ecosystem management to benefit fisheries or conservation objectives.

Humans increasingly dominate Earth's natural freshwater ecosystems, but biomass production of modified ecosystems is rarely studied. We estimate potential fish total standing stock in USA reservoirs is 3.4 billion (B) kg, and approximate annual secondary production is 4.5 B kg y-1. We also observe varied and non-linear trends in reservoir fish biomass over time, thus previous assertions that reservoir fisheries decline over time are not universal. Reservoirs are globally relevant pools of freshwater fisheries, in part due to their immense limnetic footprint and spatial extent. This study further shows that reservoir ecosystems play major roles in food security and fisheries conservation. We encourage additional effort be expended to effectively manage reservoir environments for the good of humanity, biodiversity, and fish conservation.

Deforestation of tropical rainforests is a major land use change that alters terrestrial biogeochemical cycling at local to global scales. Deforestation and subsequent reforestation are likely to impact soil phosphorus (P) cycling, which in P-limited ecosystems such as the Amazon basin has implications for long-term productivity. We used a 100-year replicated observational chronosequence of primary forest conversion to pasture, as well as a 13-year-old secondary forest, to test land use change and duration effects on soil P dynamics in the Amazon basin. By combining sequential extraction and P K-edge X-ray absorption near edge structure (XANES) spectroscopy with soil phosphatase activity assays, we assessed pools and process rates of P cycling in surface soils (0-10 cm depth). Deforestation caused increases in total P (135-398 mg kg-1 ), total organic P (Po ) (19-168 mg kg-1 ), and total inorganic P (Pi ) (30-113 mg kg-1 ) fractions in surface soils with pasture age, with concomitant increases in Pi fractions corroborated by sequential fractionation and XANES spectroscopy. Soil non-labile Po (10-148 mg kg-1 ) increased disproportionately compared to labile Po (from 4-5 to 7-13 mg kg-1 ). Soil phosphomonoesterase and phosphodiesterase binding affinity (Km ) decreased while the specificity constant (Ka ) increased by 83%-159% in 39-100y pastures. Soil P pools and process rates reverted to magnitudes similar to primary forests within 13 years of pasture abandonment. However, the relatively short but representative pre-abandonment pasture duration of our secondary forest may not have entailed significant deforestation effects on soil P cycling, highlighting the need to consider both pasture duration and reforestation age in evaluations of Amazon land use legacies. Although the space-for-time substitution design can entail variation in the initial soil P pools due to atmospheric P deposition, soil properties, and/or primary forest growth, the trend of P pools and process rates with pasture age still provides valuable insights.

The management of large common-pool resources, like fisheries and forests, is more difficult when more people and more communities can access them-a particular problem given increased population sizes, higher mobility and globalized trade in the Anthropocene. Social relationships spanning communities, such as kin relationships, business or trade relationships and friendships, can make management even more challenging by facilitating and transmitting norms of overharvesting. However, these long-distance relationships can also bolster management by transmitting norms for sustainability, promoting interdependence and laying the groundwork for nested management systems. Here, we review the negative and positive impacts of long-distance relationships on local natural resource management (NRM), providing illustrative examples from our field research on forest and fisheries management in Tanzania. Drawing on the evolutionary literature, the development literature and our field data, we offer suggestions for how development partners can avoid the pitfalls of long-distance relationships and how they can use or even deliberately foster long-distance relationships to promote successful local NRM. This article is part of the theme issue Evolution and sustainability: gathering the strands for an Anthropocene synthesis.

Addressing the ongoing biodiversity crisis requires identifying the winners and losers of global change. Species are often categorized based on how they respond to habitat loss; for example, species restricted to natural environments, those that most often occur in anthropogenic habitats, and generalists that do well in both. However, species might switch habitat affiliations across time and space: an organism may venture into human-modified areas in benign regions but retreat into thermally buffered forested habitats in areas with high temperatures. Here, we apply community occupancy models to a large-scale camera trapping dataset with 29 mammal species distributed over 2,485 sites across the continental United States, to ask three questions. First, are species responses to forest and anthropogenic habitats consistent across continental scales? Second, do macroclimatic conditions explain spatial variation in species responses to land use? Third, can species traits elucidate which taxa are most likely to show climate-dependent habitat associations? We found that all species exhibited significant spatial variation in how they respond to land-use, tending to avoid anthropogenic areas and increasingly use forests in hotter regions. In the hottest regions, species occupancy was 50% higher in forested compared to open habitats, whereas in the coldest regions, the trend reversed. Larger species with larger ranges, herbivores, and primary predators were more likely to change their habitat affiliations than top predators, which consistently affiliated with high forest cover. Our findings suggest that climatic conditions influence species space-use and that maintaining forest cover can help protect mammals from warming climates.

Background: While bats are tremendously important to global ecosystems, they have been and continue to be threatened by loss of habitat, food, or roosts, pollution, bat diseases, hunting and killing. Some bat species have also been implicated in the transmission of infectious disease agents to humans. While One Health efforts have been ramped up recently to educate and protect human and bat health, such initiatives have been limited by lack of adequate data on the pathways to ensure their support. For instance, data on the role of bats in supporting different components of human welfare assets would be utilized as a stepping stone to champion conservation campaigns. Unfortunately, these data are limited and efforts to synthesize existing literature have majorly focused on few components human welfare leaving other important aspects. Methods: Here, we analyze benefits associated with bats in the context of welfare economics considering all the asset components. We surveyed scientific and gray literature platforms utilizing particular keywords. We then classified these values using integrated approaches to understand different values across human welfare assets of "health," "material and immaterial assets," "security or safety" and "social or cultural or spiritual relations". Results: We found 235 papers from different countries indicating that bats play fundamental roles in supporting human welfare. These benefits were more prevalent in Asia and Africa. In terms of the use of bats to support welfare assets, bats were majorly utilized to derive material and immaterial benefits (n = 115), e.g., food and income. This was followed by their use in addressing health challenges (n = 99), e.g., treatment of ailments. There was a similarity in the benefits across different regions and countries. Conclusion: These results indicate potential opportunities for strengthening bat conservation programs. We recommend more primary studies to enhance understanding of these benefits as well as their effectiveness in deriving the perceived outcomes. [ABSTRACT FROM AUTHOR]

Background: Ethiopia is recognized as one of the centers of origin for the diversity of many plant species, including medicinal plants. Throughout the country, a large proportion of the population relies on these therapeutic plant species for primary healthcare. While such traditional medicinal knowledge has been documented in some regions, there is a lack of information from the Quara district of northwestern Ethiopia. Therefore, this study aimed to document the indigenous and local knowledge of the use of medicinal plants among three ethnic groups residing in the area. Methodology: An ethnobotanical study was conducted from August 2022 to October 2023 in ten kebeles of the Quara district. Data were collected through semi-structured interviews, field walks, and focus group discussions with 286 informants using snowball, purposive, and random sampling techniques. Quantitative analyses included Rahman's similarity index (RSI), informant consensus factor (ICF), and direct matrix ranking (DMR). Descriptive statistics were used to analyze basic ethnobotanical data. Results: A total of 128 medicinal plant species from 112 genera and 50 families were documented and used to treat 14 disease categories. There was a 28% overlap in medicinal plant knowledge among the three ethnic groups studied. Fabaceae was the most represented family with 22 species. Trees accounted for the majority of the documented plants (37.5%), and leaves were the most commonly used plant parts (23.1%). Oral administration (56.7%) of plant extracts was the primary mode of remedy preparation and use. The highest ICF value (0.93) was recorded for circulatory and blood-related disorders. The study identified nine plants and 39 therapeutic uses not previously reported in Ethiopia. The RSI showed high overlap with neighboring areas and low similarity with distant areas. Top-ranked multipurpose plants were Ziziphus spina-christi and Terminalia leiocarpa, with agricultural expansion and fuelwood collection identified as major threats. Conclusion: The findings demonstrate the rich diversity of medicinal plants and associated traditional knowledge in the Quara district. The high ethnobotanical indices warrant further phytochemical and pharmacological investigations. Integrated conservation efforts are recommended to address the challenges facing these valuable plant resources. [ABSTRACT FROM AUTHOR]

Purpose: Proposed sustainable diets often deviate dramatically from currently consumed diets, excluding or drastically reducing entire food groups. Moreover, their environmental sustainability tends to be measured only in terms of greenhouse gases emissions. The aim of this study was to overcome these limitations and identify a cluster of already adopted, relatively healthy diets with substantially lower environmental impacts than the average diet. We also aimed to estimate the reduction in multiple environmental impacts that could be achieved by shifting to this diet cluster and highlight possible tradeoffs among environmental impacts. Methods: The diet clusters were identified by applying energy-adjusted multiple factor analysis and hierarchical clustering to the dietary data of the National FinHealth 2017 Study (n = 5125) harmonized with life cycle assessment data on food products from Agribalyse 3.0 and Agri-Footprint using nutrient intakes and global warming potential, land use, and eutrophication of marine and freshwater systems as the active variables. Results: We identified five diet clusters, none of which had the highest overall diet quality and lowest impact for all four environmental indicators. One cluster, including twenty percent of the individuals in the sample was identified as a "best compromise" diet with the highest diet quality and the second lowest environmental impacts of all clusters, except for freshwater eutrophication. The cluster did not exclude any food groups, but included more fruits, vegetables, and fish and less of all other animal-source foods than average. Shifting to this cluster diet could raise diet quality while achieving significant reductions in most but not all environmental impacts. Conclusion: There are tradeoffs among the environmental impacts of diets. Thus, future dietary analyses should consider multiple sustainability indicators simultaneously. Cluster analysis is a useful tool to help design tailored, socio-culturally acceptable dietary transition paths towards high diet quality and lower environmental impact. [ABSTRACT FROM AUTHOR]

The importance of environmental issues leads the managers of organizations to implement green policies. Besides having environmental benefits and fulfilling the organization's social responsibilities, implementing these policies will also have internal benefits that encourage managers to review internal organizational structures and identify the factors that affect them. This study examines how the green culture of the organization is one of the critical structures within the organization on the level of employee commitment through the mediation of the green identity of the organization. In this study, the analysis of standard questions of research variables in the statistical population, i.e. the staff of industrial estates in Isfahan province, has been used. The approach used in this research is structural equational modeling with the partial least squares method, done and analyzed by SmartPLSsoftware. The results show that green organizational culture directly affects organizational commitment. In addition, green organizational culture through green organizational identity as a mediating variable affects organizational commitment, and thus the mediating role of green organizational identity is strongly confirmed. The responsibility of organizations to protect the environment can be considered a factor in increasing organizational commitment and thus lead to further promotion and success of the organization. Therefore, organizations can create policies to implement green culture in addition to green identity in the organization can increase employee commitment to the organization, which is an essential result of this research. [ABSTRACT FROM AUTHOR]

The global threat posed by biodiversity loss has increased recently. Ecosystem destruction puts human beings in peril, exacerbates climate change, and endangers food security. Similar issues exist in the Mekong Delta, also known as the mega diversity region. Potential threats to this region's biodiversity include increasing populations, expanding agriculture with increased pesticide and fertilizer usage, and shifting water levels during flood and salinization seasons. Human conduct is one aspect that threatens biodiversity richness. Given the interdependence of humans and nature, biodiversity conservation must be given top priority if we are to maintain our ability to interact with the natural world. Therefore, the purpose of this study is to examine how university students perceive biodiversity conservation in light of the Theory of Planned Behaviour (TPB). A survey of 387 students in universities in the Mekong Delta of Vietnam was conducted for this study. The results of this study demonstrate how awareness, knowledge, and attitude significantly influence behaviors related to biodiversity protection. The study also uncovered important concerns like the disparities in behavior among majors, the common information sources used to learn about biodiversity and the favorable and obstacles factors that students must deal with. Simultaneously, potential recommendations are put forth to support the development of students' biodiversity protection behaviors. [ABSTRACT FROM AUTHOR]

This article is a conversation between Marie-Thérèse Talensby, a doctoral student with the Extinction Studies doctoral training programme at the University of Leeds, and Dr Juno Salazar Parreñas, Associate Professor of Science and Technology Studies and Feminist, Gender and Sexuality Studies at Cornell University. Talking over Skype in July 2023, Dr Parreñas reflects on her current research, exploring the death of a tropical polar bear in Singapore Zoo, her work on Orangutan conservation, and the violence inherent in many methods of animal conservation. In doing so, she highlights the entanglements of human and more-than-human lives in what is being described by scientists and conservation organisations as the sixth mass extinction event. Weaving throughout the conversation are more personal reflections on loss and grief, vicarious trauma, and the transformative potential in moments of decolonisation. This article offers a rich reflection on the experience and impact of researching death and loss, encompassing themes of positionality, boundaries, and the broader socio-cultural context of fieldwork encounters, topics highly relevant to Mortality readers. [ABSTRACT FROM AUTHOR]

BACKGROUND: The success of organizations' sustainable performance mainly depends on their human resource capital and for this organizations now need to focus on green human capital development programs including green talent management (GTM). GTM entails attracting, nurturing, and retaining those people who can promote the green initiatives of the organization. OBJECTIVE: This paper aims to investigate the impact of GTM, transformational leadership, and employee engagement on the sustainable environmental performance of organizations. METHODS: The data were collected from both academic and administrative employees in five Omani higher education institutions (HEIs). In total 367 questionnaires were collected using drop-off and pickup methods. RESULTS: The results of the study showed that green hard and green soft talent management (TM) and employee engagement with green initiatives are significant predictors of the sustainable environmental performance of HEIs. Moreover, transformational leadership can moderate the influence of green soft TM on employee engagement with green initiatives by strengthening the relationship. CONCLUSIONS: For sustainable performance and development, organizations especially HEIs need to actively assume their social responsibilities and implement sustainable environmental management. The present study provides meaningful implications for practitioners, educational policymakers, and leaders to promote GTM and employee engagement for sustainable environmental performance. Supporting green skill development, engaging employees with green initiatives, and promoting staff with green skills can help organizations particularly HEIs to increase their sustainable environmental performance and gain a competitive advantage. [ABSTRACT FROM AUTHOR]

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Recent studies claimed that the absence of a paradigm is a challenge to developing education for sustainable development and soft skills competencies. This integrative study examines stimulating these transferable and transversal competencies through constructivist approaches to teaching from the cognitive, social, radical, and critical perspectives. The study argues that the use of constructivist approaches to teaching can contribute to the achievement of education for sustainable development and soft skills competencies through the delegation of power from teachers/lecturers to students. This, in active and interactive classrooms, empowers students and builds their confidence to develop on the personal, academic, and professional levels. The use of the cognitive constructivist approach assists in developing competencies based on a clear understanding of the cognitive structures of students in a vibrant classroom environment. The use of the social constructivist approach assists in constructing individualized learning environment based on predetermined zones of proximal development in sociocultural contexts. The radical and critical constructivist approaches to teaching, through the rejection of conventional epistemologies, allow students the freedom to creatively address issues related to environmental, economic, and social sustainability. This becomes effective through the fostering of self and social awareness, challenging existing ideas, and provoking innovative thoughts that are necessary to shape a sustainable future. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Natural Resources Conservation Service (NRCS, formerly the Soil Conservation Service, SCS) unit hydrograph (UH) is one of the most commonly used synthetic UH methods for hydrologic modeling and engineering design all over the world. However, previous studies have shown that the application of the NRCS UH method using the published approach and parameter values does not produce accurate peak discharges or time to peaks. Over- or underestimation of peak discharge using the NRCS UH is also a critical issue for hydrologic design in the State of Indiana. The objective of this work is to adapt the NRCS UH for use in Indiana by analyzing the role of its two key parameters, namely, the peak rate factor (PRF) and the lag time, in creating runoff hydrographs. Based on 120 rainfall–runoff events collected from 30 small watersheds in Indiana between 2000 and 2020, UHs are derived to extract corresponding PRF and lag time. Results show that the mean value of PRF for these UHs is 376 (in English units), which is lower than the standard PRF of 484, and the NRCS lag time equation tends to underestimate the true lag time for more than half of the study watersheds. Stepwise linear regression models were formulated to estimate NRCS UH parameters on the basis of the geomorphic attributes extracted from the study watersheds. Both the statewide and regional regression models show that the main channel slope is a major factor in determining the PRF and lag time. Finally, a customized Indiana unit hydrograph (INUH) is derived with updated PRFs using a gamma distribution. Validation results show that INUH can provide more accurate predictions in terms of the peak discharge and the time to peak (the mean relative error is reduced by around 45% and 6%, respectively) than the original NRCS UH for watersheds in Indiana. [ABSTRACT FROM AUTHOR]

Understanding the evolutionary patterns of ecological quality in transport corridor areas and their driving mechanisms is essential for maintaining regional sustainable development. However, an integrated assessment of the ecology of plateau transport corridors is still lacking. This study focuses on the Sino‐Nepalese Transport Corridor (SNTC) and comprehensively evaluates the spatio‐temporal patterns and evolution of eco‐environmental quality from 2000 to 2021 based on remote sensing data and quantifies and explores the potential driving factors. The results indicate significant spatial heterogeneity in the eco‐environmental quality of the SNTC, with an overall bipolar "northeast‐southwest" distribution pattern. The area of poor and worse quality is the largest (32,471.75 km2), accounting for about 47.20% of the total area of the SNTC, distributed in the plateau bare land and the Yarlung Tsangpo River valley. From 2000 to 2021, the eco‐environmental quality showed an initial decline and then an increase, with a relatively gentle overall trend. The increase in the remote sensing ecological index in Region (I) from 0.314 in the first 10 years to 0.334 in the second 10 years, an increase of 6.37%, was mainly attributed to afforestation projects in the "One River and two tributaries Nature Reserve" region. The eco‐environmental quality of the SNTC is influenced by multiple factors including human activities, climate, and topography. Grazing intensity, population density, and digital elevation model are the main negative disturbance factors, while temperature, precipitation, gross domestic product, and afforestation areas promote eco‐environmental quality. In particular, afforestation projects partially offset the negative impact of human activities. These results will provide useful information for understanding the complex effects of human activities and natural factors on the eco‐environmental quality in the plateau transport corridor region and for formulating ecological conservation policies. [ABSTRACT FROM AUTHOR]

Background: This study was exclusively focused on the documentation and cross-cultural evaluation of ethnomedicinal knowledge (EMK) within the diverse linguistic groups of Kohistan situated between the Himalayan and Hindukush Mountain ranges in the north Pakistan. Methods: Data were gathered during the field survey (May 2022 to July 2023) through group conversations, semi-structured interviews, and on-site observation. Venn diagrams were employed to illustrate the comparative assessment of EMK, and different ethnobotanical indices were utilized to examine the data. Results: A total of 96 wild medicinal plant species (MPs) belonging to 74 genera and 52 botanical families were documented. The most reported MPs belong to the family Polygonaceae (11 species), followed by Asteraceae (9 species) and Lamiaceae (8 species). The ethnomedicinal uses of Leontopodium himalayanum, Pedicularis oederi, Plocama brevifolia, Polypodium sibiricum, Pteridium esculentum, Sambucus wightiana, Solanum cinereum, Teucrium royleanum, Rhodiola integrifolia, Aconitum chasmanthum were reported for the first time in this region. Among the reported taxa herbaceous species were dominated (72%), followed by trees and shrubs (17% and 10%, respectively). Digestive problems (40 taxa and 114 use reports) and skin disorders (19 taxa and 549 use reports) were the most cited disease categories, whereas M. communis, M. longifolia, Ajuga integrifolia, Ziziphus jujuba, and Clematis grata exhibited the highest percentage fidelity levels. Out of 109 documented medicinal uses, a mere 12 were shared across all linguistic groups, and Bateri emerges as a notable outlier with the highest number of medicinal uses. In addition, a significant homogeneity was noted in the reported botanical taxa (61 species) among different linguistic groups. However, since the last decade biocultural heritage of Kohistan is facing multifaceted risks that need urgent attention. Conclusion: Our findings could be valuable addition to the existing stock of ethnomedicinal knowledge and may provide ethnopharmacological basis to novel drug discovery for preexisting and emerging diseases prioritizing detailed phytochemical profiling and the evaluation of bioactive potential. [ABSTRACT FROM AUTHOR]

The Zambezi region in north-eastern Namibia is located at the centre of the Kavango-Zambezi Transfrontier Conservation Area (KAZA TFCA), an area that is endowed with a great variety of wildlife and managed not only to protect this asset but also to promote its proliferation and economic utilisation. In this contribution I consider the notion of hunting in Namibia and explore the realms of local hunting and trophy hunting from the turn of the twentieth century until today. Starting my journey with the depiction of hippo hunting in colonial times, I explore how a hunting narrative was created along the spectacle of hunting big game. Besides the glorification of hippopotami amongst white hunters and early European travellers, the modification of hunting practices that occurred alongside the reconnaissance of this region in the early twentieth century resulted in strong pressures on hippo populations — and wildlife more generally — and led to the strict regulation of all hunting practices in favour of trophy hunting and at the expense of local hunting. This colonial trajectory of hunting has played a major role in the planning and implementation of a conservation landscape that has strong effects on local livelihoods. [ABSTRACT FROM AUTHOR]

Otocolobus manul (Pallas, 1776) is a small, solitary, terrestrial felid commonly called the Manul and is the sole species of its genus. It occurs in Afghanistan, Armenia, Bhutan, China, India, the Islamic Republic of Iran, Kazakhstan, Kyrgyzstan, Mongolia, Nepal, Pakistan, the Russian Federation, and Turkmenistan. Otocolobus manul might still occur in Tajikistan and Uzbekistan but might be extinct in Azerbaijan. As assessed in 2020, O. manul is listed as "Least Concern" (LC) on the International Union for Conservation of Nature and Natural Resources Red List of Threatened Species, with an estimate of 58,000 adults, although the population might be decreasing. [ABSTRACT FROM AUTHOR]

An editorial emphasizes the urgent need to treat the climate crisis and biodiversity loss as a single, intertwined global health emergency. It argues that addressing climate change and nature loss separately is a critical error, given their profound and interconnected impacts on health and ecosystems. It call for a unified approach in global policies and health strategies to tackle both crises simultaneously.

Soil erosion represents a complex ecological issue that is present on a global level, with negative consequences for environmental quality, the conservation and availability of natural resources, population safety, and material security, both in rural and urban areas. To mitigate the harmful effects of soil erosion, a soil erosion map can be created. Broadly applied in the Balkan Peninsula region (Serbia, Bosnia and Herzegovina, Croatia, Slovenia, Montenegro, North Macedonia, Romania, Bulgaria, and Greece), the Erosion Potential Method (EPM) is an empirical erosion model that is widely applied in the process of creating soil erosion maps. In this study, an innovation in the process of the identification and mapping of erosion processes was made, creating a coefficient of the types and extent of erosion and slumps (φ), representing one of the most sensitive parameters in the EPM. The process of creating the coefficient (φ) consisted of applying remote sensing methods and satellite images from a Landsat mission. The research area for which the satellite images were obtained and thematic maps of erosion processes (coefficient φ) were created is the area of the Federation of Bosnia and Herzegovina and the Brčko District (situated in Bosnia and Herzegovina). The Google Earth Engine (GEE) platform was employed to process and retrieve Landsat 7 Enhanced Thematic Mapper plus (ETM+) and Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) satellite imagery over a period of ten years (from 1 January 2010 to 31 December 2020). The mapping and identification of erosion processes were performed based on the Bare Soil Index (BSI) and by applying the equation for fractional bare soil cover. The spatial–temporal distribution of fractional bare soil cover enabled the definition of coefficient (φ) values in the field. An accuracy assessment was conducted based on 190 reference samples from the field using a confusion matrix, overall accuracy (OA), user accuracy (UA), producer accuracy (PA), and the Kappa statistic. Using the confusion matrix, an OA of 85.79% was obtained, while UA ranged from 33% to 100%, and PA ranged from 50% to 100%. Applying the Kappa statistic, an accuracy of 0.82 was obtained, indicating a high level of accuracy. The availability of a time series of multispectral satellite images for each month is a crucial element in monitoring the occurrence of erosion processes of various types (surface, mixed, and deep) in the field. Additionally, it contributes significantly to decision-making, strategies, and plans in the domain of erosion control work, the development of plans for identifying erosion-prone areas, plans for defense against torrential floods, and the creation of soil erosion maps at local, regional, and national levels. [ABSTRACT FROM AUTHOR]

Governmental natural resource entities often use surveys to gather information from the public about wildlife management and conservation policies. Response rate is a metric for understanding how many individuals participate in a survey. Higher response rates can reduce costs and sampling effort and improve the reliability and generalizability of survey findings. However, response rates may be negatively influenced by a distrust in government. Our study evaluated if response rates would differ based on the survey sponsor. We sent a survey to hunters in Georgia, USA that contained either university or governmental agency branding. Response rates did not differ among the two surveys and sentiment analysis of open-ended responses revealed that sentiments of respondents were similar between groups. Although these results suggest branding might not have major impacts on responses, further investigation is needed to determine the effect of sponsorship and other influential factors that both enhance and diminish response rates. [ABSTRACT FROM AUTHOR]

Greater sage‐grouse (Centrocercus urophasianus; sage‐grouse) populations in the western United States have declined, necessitating conservation efforts. The United States Department of Agriculture Natural Resources Conservation Service and livestock producers implemented the Sage Grouse Initiative (SGI) to improve sage‐grouse habitat using regional‐specific management actions such as rotational grazing. We assessed the effect of SGI grazing management, the influence of brood female and chick morphometric traits, and multiple environmental and anthropogenic disturbance factors on chick mortality risk in a sage‐grouse population in central Montana, USA, from 2011–2019. We used a Kaplan‐Meier survival function to evaluate chick survival, Cox proportional hazards models to evaluate chick mortality risk as a function of brood female and chick morphometric traits, and the Andersen‐Gill formulation of the Cox proportional hazards model to assess the effects of time‐dependent habitat characteristics on chick mortality risk. Survival to 45 days post‐hatch for 510 chicks varied annually from 0.26 ± 0.07 (SE) to 0.69 ± 0.07. The 45‐day survival rate for all years combined was 0.51 ± 0.03. Chick mortality risk was not affected by changes in livestock grazing management implemented through the SGI grazing program. Brood female age and body condition, sex of chicks, vegetation, and anthropogenic variables were also unassociated with chick mortality risk. There were small protective effects of chick mass adjusted for age and mean minimum monthly temperature; greater chick mass and lower monthly temperatures correlated with reduced mortality risk. Overall, our study suggests the SGI grazing program does not confer additional benefits to sage‐grouse chicks beyond existing grazing practices. Incentivizing grazing practices that adhere to fundamental principles of rangeland ecology and maintain intact rangelands may be more effective than specific prescribed grazing systems for sage‐grouse conservation in this region. [ABSTRACT FROM AUTHOR]

Previous research has shown that both receiving support and providing support enhance employee well‐being and work engagement. In the current study, we integrate social exchange theory (SET) and conservation of resources (COR) theory to investigate under which conditions receiving and providing daily support are most likely to occur. Specifically, we test the hypotheses that receiving requested support and reciprocating received support are more likely when the support is requested or received from a co‐worker who perceives the quality of the exchange relationship as high (vs. low), and less likely when the support is requested or received from a co‐worker high (vs. low) on workaholism. To test these hypotheses, we collected data among 45 employees and their co‐workers during two moments per day for five consecutive working days (N = 90 participants; N = 614 work episodes). Multilevel analyses supported all hypotheses, except for the moderating effect of partner's workaholism on the link between receiving and providing support. These findings imply that receiving and providing support do not occur automatically but are dependent on characteristics of the exchange relationship and the exchange partner. We discuss the implications for SET and COR theories, as well as practical implications. [ABSTRACT FROM AUTHOR]

Purpose: Drawing on a framework of conservation of resources theory, the purpose of this paper is to explore the relationship between self-perceived academic performance and individual entrepreneurial intention and consider the potential moderating role of (1) participation in serious leisure, (2) perceived stress and/or (3) gender. Design/methodology/approach: A total of 405 UK-based undergraduates completed the questionnaire, with a representative gender split of 57% women and 43% men. Findings: The positive relationship between self-perceived academic performance and individual entrepreneurial intention was moderated by serious leisure (stronger when participation in serious leisure increased) and by perceived stress (stronger when levels of perceived stress were lower). However, contrary to our expectations, gender had no statistically significant moderating role. Practical implications: The practical contribution comes from informing policy for universities and national governments to increase individual entrepreneurial intention in undergraduates. Originality/value: The theoretical contribution comes from advancing conservation of resources theory, specifically the interaction of personal resources, resource caravans and resource passageways. [ABSTRACT FROM AUTHOR]

India is rich in agrobiodiversity and is considered to be one of the important countries for production of food, oilseed and horticultural crops, spices, and medicinal plants. However, the prevalence of noncommunicable diseases (NCDs) such as type 2 diabetes (T2D) and obesity has been rapidly increasing in India due to unhealthy food habits, for example, changing from healthy unpolished brown rice to highly polished white rice. Bringing back our traditional foods such as millets and making use of India's rich biodiversity could help improve the health of its population and help in preventing and control of NCDs such as T2D. [ABSTRACT FROM AUTHOR]

The design of healthcare facilities significantly affects patient outcomes, well-being, and environmental sustainability. With growing concerns over climate change and resource scarcity, there is an increasing demand to incorporate eco-friendly building concepts and healing design principles into hospital design in India. This review synthesizes recent research to explore the application of these approaches in the Indian healthcare context. Eco-friendly healthcare facilities emphasize energy efficiency, water conservation, waste management, use of renewable energy sources, and eco-friendly building materials. These sustainable practices offer environmental and economic benefits such as reduced operational costs, diminished ecological impact, and improved patient experiences. Healing architecture principles, including day lighting, natural ventilation, healing gardens, and the integration of natural elements, aim to create therapeutic environments that promote patient recovery and well-being. Studies from Indian hospitals that have implemented green design practices and healing architecture elements demonstrate the feasibility and positive outcomes of these strategies. The review examines the challenges and barriers to implementing green hospitals and healing architecture in India, such as resource constraints, regulatory compliance, and lack of awareness. Evaluation frameworks like GRIHA (Green Rating for Integrated Habitat Assessment) are discussed as tools for assessing and enhancing environmental sustainability in Indian hospital infrastructure. By integrating recent research with best practices, this review provides an understanding of green hospitals and healing architecture in the Indian context, highlighting their significance in creating sustainable, patient-centered healthcare facilities that prioritize both environmental stewardship and patient recovery. [ABSTRACT FROM AUTHOR]

The scientific quantification of the ecological effects of carbon emissions, the reduction of ecological risk (ER), and the evaluation of the interaction effect between carbon emissions and ER are the pivotal measures for ensuring the longevity and continuity of sustainability. However, a dearth of comprehensive and macro-level evaluations exist pertaining to the ER and carbon emissions within the entirety of the Yangtze River Economic Belt (YREB). We have constructed four distinct simulated scenarios within the YREB, which include natural development (ND), cultivated land protection (CLP), ecological conservation (EC), and low carbon (LC) scenarios. Based on the consideration of future uncertainty, we predicted LUCEs and ERI under different scenarios, and analyzed the spatial interaction effects of LUCEs and ERI from the dual perspectives of the spatial spillover effect and spatial coupling effect. The results showed that under the four outlined scenarios, encompassing diverse parameters, conversion possibilities, and areas subject to restrictions, the land utilization patterns of the YREB in 2030 have unveiled pronounced disparities. The LUCEs in the YREB showed significant spatial heterogeneity under the four scenarios; the maximum value was 6.65 under the CLP scenario and the minimum value was 4.65 under the LC scenario. The ER has the highest value under the ND scenario and the lowest value under LC scenario. Construction land is the largest contributor to increased LUCEs, and forest land is the form of terrestrial utilization that reduces the impact of LUCEs. In different scenarios, LUCEs have a significant negative spillover effect on ER, while the bidirectional spatial coupling effect between LUCEs and ERI presents significant differences. Under the LC scenario, land with a strong carbon sequestration capacity increased significantly, the fragmentation of water bodies was alleviated, and the CCD was the highest. This study offers scientific counsel for the sustainable development of various regions within the YREB, thereby fostering the achievement of a harmonious coexistence between the ecological milieu and economic development. [ABSTRACT FROM AUTHOR]

Understanding the effects of land use on landscape configuration as a proxy for ecological connectivity is necessary to envision territorial management and planning and promote natural resource conservation. This study aimed to identify the landscape configurations that resulted from land-cover change processes within the Paraguayan Pantanal Ecoregion (PPE), one of the largest and most biodiverse wetlands, in 1987, 2004, and 2020, with a special emphasis on forest and aquatic vegetation spatial patterns. Forest fragmentation between 1987 and 2020 was determined using landscape ecology metrics. In 1987, natural vegetation was highly connected, with two main forest patches of 12 887 and 15 910 km2. However, in 2004 and 2020, several categories of forest patches were identified, with the largest measuring 9197 and 2461 km2, respectively. Although forest and aquatic vegetation remnants remained viable in 2020, appropriate measures to reduce forest loss should be adopted to ensure the long-term viability of PPE biodiversity. [ABSTRACT FROM AUTHOR]

Predicting runoff is vital for effectively planning and managing water resources within a watershed or river basin. This research aims to compare the effectiveness of two distinct approaches in predicting daily runoff within the Koyna River basin in India from 1999 to 2011. The approaches examined are an artificial intelligence-based data-driven model, specifically an artificial neural network (ANN), and a conceptual-based model, the Natural Resource Conservation Service Curve Number (NRCS-CN) method. The ANN model employs a data-driven approach that utilizes historical runoff data to train the model, allowing it to capture nonlinear relationships and complexities in runoff dynamics. In contrast, the NRCS-CN method uses a conceptual-based approach, relying on empirical relationships and soil cover complex data to estimate runoff. The performance of both models was evaluated using the coefficient of determination (R2) as a key metric. The study highlights a significant difference in predictive performance between the two methodologies. The NRCS-CN method achieved an R2 of 0.37, whereas the ANN model significantly improved the predictive accuracy, achieving an R2 of 0.88. This substantial increase demonstrates the ANN model's superior ability to capture the complexities of daily runoff dynamics compared to the NRCS-CN method. In conclusion, the findings strongly advocate for the efficacy of the data-driven ANN model over the conceptual-based NRCS-CN model for daily runoff prediction. The superior performance of the ANN model provides valuable insights for enhancing water resource management through advanced artificial intelligence techniques. These results suggest that integrating AI-driven models can significantly improve the accuracy and reliability of runoff predictions, thereby supporting more effective water resource planning and management. [ABSTRACT FROM AUTHOR]

This multi‐site case study on the invasive alien plant Lantana camara in protected areas of Nilgiri Biosphere Reserve, India, addresses the reasons for inadequate institutional responses from stakeholders in managing the species despite the seriousness. The study uses thematic analysis and qualitative systems approach. The themes are converted into a qualitative‐system‐dynamics model and are then abstracted into system archetypes. The study identified three major themes: the dilemma involving stakeholders, the dilemma of alternative and commercial use of Lantana, and the Lantana management conundrum. The study translated these dilemmas into four generalisable archetypes: 'drifting goals', 'modified‐shifting‐the‐burden', 'fixes‐that‐fail' and 'substitution rebound'. The latest is a novel contribution to the systems literature. Practically, the study helps understand the recurring undesired behavioural patterns in invasive species management and suggests policy and governance changes to tackle them. The study also points towards building stakeholder relationship protocols, focussing on fundamental solutions and having clear Lantana management targets. [ABSTRACT FROM AUTHOR]

This paper explores the concept of community engagement, aligned with President Jokowi's mission to promote social enterprises, as a means to support the development of a re‐generative circular green economy in Tarumajaya, West Java. The primary focus is on enhancing farming, fishing, and forestry activities with villagers. The Covid‐19 pandemic presented significant challenges for the villagers, particularly in marketing their goods, resulting in financial hardships and an increased vulnerability to debt traps, particularly affecting women. Additionally, a major obstacle to achieving regenerative living is the limited access to land, with approximately 80% of the villagers either landless or owning small plots. Moreover, fishing restrictions imposed by the military to protect the Citarum River have further curtailed access to common grazing land for cattle. Preliminary analysis indicates that adopting intensive farming methods, such as rabbit breeding, mushroom cultivation, and fertiliser production, holds promise for reducing the community's carbon footprint. Overcoming these challenges and mapping pathways towards regenerative living are central objectives of this case study, providing insights and practical strategies to foster sustainable economic and environmental progress in Tarumajaya. Key components of the approach include finding markets for village products, extending access to common resources such as rivers, forests, and hillside terraces to villagers, and providing mentorship to women for supporting their small enterprises. The ongoing partnership with the village involves a community of practice consisting of universities and nongovernmental organisations, while private sector entities, including a gas company and tea and coffee plantations, are engaged in negotiations with the village head to secure additional land access. This study highlights the combination of challenges arising from the lack of access to common resources, limited market opportunities, and the influence of predatory financial institutions during the pandemic. By working closely with the villagers, the case study aims to identify opportunities and support the transition towards a green circular economy that moves away from business as usual and promotes regenerative living. [ABSTRACT FROM AUTHOR]

Mapping coastal wetlands' spatial distribution and spatiotemporal dynamics is crucial for ecological conservation and restoration efforts. However, the high hydrological dynamics and steep environmental gradients pose challenges for precise mapping. This study developed a new method for mapping coastal wetlands using time-series remote sensing images and a deep learning model. Precise mapping and change analysis were conducted in the Liaohe Estuary Reserve in 2017 and 2022. The results demonstrated the superiority of Temporal Optimize Features (TOFs) in feature importance and classification accuracy. Incorporating TOFs into the ResNet model effectively combined temporal and spatial information, enhancing coastal wetland mapping accuracy. Comparative analysis revealed ecological restoration trends, emphasizing artificial restoration's predominant role in salt marsh vegetation rehabilitation. These findings provide essential technical support for coastal wetland ecosystem monitoring and contribute to the study of sustainability under global climate change. [ABSTRACT FROM AUTHOR]