Climate change is a significant challenge for biodiversity conservation in Australia and globally; conservation practitioners, researchers and policymakers need to find new ways to protect species, communities and habitats from the impacts of it. These new approaches – or adaptation interventions – require testing, approvals, permissions, funding and, in many cases, social licence. As such, there is a strong appetite for peer-to-peer sharing of research, new ideas and experiences in adapting biodiversity conservation to climate change, as well as an increasing need to communicate adaptation approaches to decision-makers and communities. We surveyed 80 people working in biodiversity conservation in Australia to elicit the ways in which stories about adaptation are used to support the planning and implementation of adaptation interventions and what information is most useful in these learning examples. We found that individuals working in biodiversity conservation in Australia have diverse roles and areas of focus. Accordingly, there are diverse needs and uses for stories, and there is a large and unmet appetite for accessible, relevant and credible information. Our findings could help guide the development and sharing of learning examples in the rapidly growing field of climate change adaptation for biodiversity conservation that will speed progress towards implementation.

This paper critically engages Büscher and Fletcher’s The Conservation Revolution, an influential manifesto within contemporary critical conservation scholarship. While the book offers a powerful political–economic critique of fortress, neoliberal and neoprotectionist conservation paradigms and advances ‘convivial conservation’ as a transformative alternative, this paper evaluates both its intellectual contributions and limitations. The analysis examines the book’s citational politics, theoretical framing and empirical scope, arguing that its reliance on metropolitan critical theory and limited engagement with place-based case studies constrain its claim to global applicability. Particular attention is given to the book’s terrestrial bias and minimal engagement with marine socioecological systems, which restricts its capacity to address governance challenges in oceanic environments. Drawing on interdisciplinary literature, including Indigenous-led conservation in Papua New Guinea and community-based coexistence strategies in Botswana, the paper demonstrates that many practices aligned with convivial conservation already exist as grounded, relational and locally governed approaches. These cases suggest that conservation transformation often emerges through incremental, situated governance rather than universal political rupture. The paper concludes that while The Conservation Revolution re-politicizes conservation debates, future scholarship must integrate systemic critique with epistemic plurality, marine and terrestrial ecologies and empirically grounded understandings of conservation practice.

This study examines the Advancing Conservation through Empathy for Wildlife™ (ACE for Wildlife™) Network, a collaborative professional network that draws on elements of the collective impact model to foster empathy for wildlife and advance conservation goals. Using a mixed-methods case study design, including social network analysis and qualitative interviews, we examine how the Network’s structured design and facilitation supported information-sharing and collaboration among participating zoos and aquariums. The results demonstrate that information-sharing served as a critical foundation for collaboration, with participants forming new partnerships and leveraging shared resources. The study highlights the roles of centralized backbone coordination and bridging individuals in supporting network connectivity, shared learning and collaboration. We provide insights into how intentionally designed professional networks can strengthen practice within the zoo and aquarium field and contribute to understanding how collaboration can be supported in other sectors working towards shared environmental or learning goals.

Conservation science is constrained by conditional visibility, an epistemic trap whereby recognition depends on alignment with Global North priorities. This phenomenon represents the operational intersection of the Matthew and Matilda effects, compounded by the feminization of poverty in the Global South. By marginalizing Indigenous and local knowledge, this structural filter severs global mandates from grounded ecological realities, leading to maladaptive conservation interventions. To bridge this gap, we propose specific interventions targeting the financial, administrative and evaluative pillars of the discipline. By matching structural reform with internal empowerment, we move beyond rhetoric to ensure effective planetary stewardship.

The role of climate change as a driver of local extinctions has rarely been tested using primary distribution data, largely due to the scarcity of such data for many species, especially from historical periods. Santolina etrusca (Asteraceae), an Italian endemic shrub listed as Near Threatened on the International Union for Conservation of Nature (IUCN) Global Red List of Threatened Species, is a notable exception, as both historical and current distributional data are available for it. In this study, we documented the distribution changes of this species, highlighting the local extinction of populations located in the northernmost and southernmost edges of its historical range during the twentieth century. Direct anthropogenic impacts on land use are unlikely to have been the primary causes of local extinctions, although the absence of historical data prevents us from ruling out past anthropogenic drivers. By analysing the ecological conditions at sites hosting extinct versus extant populations, we identified significant climatic factors that are potentially responsible for this range contraction. Our findings provide empirical evidence of an association between climate change and local extinctions in a Mediterranean plant, suggesting that greater temperature seasonality, continentality and annual temperature range are linked to range contraction.

Waste management is one of the major environmental challenges of the twenty-first century. This Perspective examines how vegetation dynamics at composting facilities and landfills both reflect and influence anthropogenic environmental change. We define our use of the Anthropocene as a human-dominated epoch that is functionally and stratigraphically distinct from the Holocene, and we argue that waste-derived ecosystems constitute model systems for detecting its signals through technogenic substrates and synanthropic succession. Although composting reduces pressure on landfills, incomplete processing of biowaste can disseminate propagules of invasive plant species. Landfills, shaped by disturbance and altered edaphic regimes, support synanthropic plant assemblages dominated by neophytes that act as bioindicators of leachate stress and other pressures. At the same time, spontaneous vegetation provides functional benefits, including slope stabilization, organic matter accumulation and habitat provision during early successional stages. We bring together information on risks and functions, link ecological criteria to permitting, monitoring and post-closure management pathways, and outline practical considerations for integrating plant-based indicators with geochemical screening. These steps enable ecologically sensitive strategies to be implemented that mitigate biodiversity risks while leveraging succession to improve the resilience of waste-derived landscapes.

Tropical dry forests (TDFs), which comprise 40% of tropical forests and are most widespread in the Neotropics, remain under-researched. TDFs support high biodiversity and are inhabited by many Indigenous communities, making their degradation a critical socio-environmental problem, yet local drivers of deforestation are overlooked. Mexico holds the largest extent of TDFs, yet these ecosystems face high levels of disturbance and limited protection. This study models the impacts of global environmental change on a TDF in southern Mexico, focusing on land-cover dynamics, biodiversity and nature’s contributions to people. We applied spatially explicit land-cover modelling under three long-term scenarios (Optimistic, Business as Usual and Pessimistic) based on varying rates of change, climate and socioeconomic conditions. Drivers were dynamically updated to reflect plausible trajectories. By overlaying land cover with species distribution data, we identified farming expansion as the primary threat to 35 endemic vertebrate species, 27 of which face a high risk of extinction. This biodiversity loss compromises ecosystem functioning and weakens the resilience of local communities. We recommend integrating conservation with Indigenous participation in sustainable land-use practices, aligned with the Kunming–Montreal Global Biodiversity Framework to halt species extinction and conserve ecosystems.

Political instability, socio-economic challenges and ongoing conflict hinder effective conservation and monitoring efforts within Lebanon’s nature reserves (NRs) and thus threaten the country’s biodiversity. The first nationwide NR mammal survey in 2023–2024 employed camera traps and line transect sampling to assess species presence and evaluate the effects of habitat diversity and human disturbance on mammal richness. We confirmed the presence of 16 terrestrial mammal species, and species richness varied considerably across sites, with the greatest diversity found in large, ecologically heterogeneous NRs such as Shouf Cedar and Horsh Ehden. Although not statistically significant, habitat diversity was the strongest positive predictor of species richness (r = 0.45), followed by NR area (r = 0.40), whereas human disturbance tended to be inversely related to species richness. No significant differences were detected between the two survey methods. Despite logistical and security challenges, this study offers a baseline for future monitoring and conservation strategies and suggests that habitat heterogeneity is important for sustaining mammalian diversity.

Trophy hunting (TH) is a form of wildlife use in which individuals pay to hunt under regulated conditions and retain selected body parts as trophies. Tanzania permits TH in areas with different land-use designations, covering diverse habitats. However, human activities such as settlement, agriculture and livestock grazing can threaten habitats and wildlife populations, particularly as revenue from TH declines. Using satellite data from between 2013 and 2023, we quantified changes in functional area and land cover across 15 hunting blocks in northern Tanzania. Over this period, functional area in hunting blocks decreased by c. 22.4% in Game Controlled Areas (GCAs) and by c. 18.0% in Open Areas (OAs), attributed to human encroachment. Longido North GCA experienced the most substantial land-cover change, with a 76% increase in dense vegetation. An analysis comparing the 2013–2019 and 2019–2023 data revealed consistent shrinkages in grassland and mixed and dense vegetation within the Longido North GCA, Masai OA and Irkishbor OA hunting blocks. Although individual land-cover losses in the given periods remained below 50% (our threshold for major habitat loss), these cumulative changes reduce habitat suitability, posing risks to biodiversity and the sustainability of TH. This study reveals the extent of human pressures on hunting blocks and calls for integrated regional planning, active management and targeted conservation strategies.

Urbanization has become a key pressure on many of the world’s protected areas. This study investigates how local communities perceive landscape values and disvalues in and around Bannerghatta National Park (near Bengaluru, India), which is experiencing high rates of urban development at its peripheries. Using combined free-listing and Public Participation Geographic Information Systems (PPGIS) mapping, we surveyed 489 residents from 12 villages to elicit both landscape values and disvalues. Respondents mapped values such as biodiversity, fertile land and clean air, while disvalues focused on human–wildlife conflicts. Despite persistent conflicts and urbanization pressures, residents valued the National Park for its multiple landscape values. Both values and disvalues were concentrated around village areas. We find that socio-demographic factors – especially caste, land ownership and work in agriculture – significantly influenced perceptions. Specifically, marginalized caste members and landless individuals reported more disvalues, while landowners and farmers noted more values. Our study emphasizes the need to consider both landscape values and disvalues for balanced decision-making in protected areas. It also highlights the potential of free-listing to identify the well-being aspects that matter most for people, which points to the importance of agricultural uses in and around protected areas undergoing urbanization.

The global use of antimicrobial chemicals drastically increased during and after the COVID-19 pandemic owing to heightened awareness of personal and surface hygiene needs. Disinfectants, especially chlorine-based disinfectants (CBDs), were extensively used for surface and equipment decontamination in the domestic, industrial, veterinary and healthcare sectors during the heights of the pandemic. The increased use of disinfectants has resulted in their increased discharge into municipal wastewater systems and surface waters. Our Perspective article considers the One Health challenges associated with the increased discharge of disinfectants into wastewater. One Health is a collaborative approach that ensures the well-being of people, animals and the environment. Wastewater is a common endpoint to the many interactions between people, animals and their environment. The potential One Health challenges and knowledge gaps associated with the constant discharge of low but sublethal concentrations of CBDs into wastewater are discussed. The data gaps point to the risks associated with the unregulated use of CBDs and need for their judicial use.

Climate-smart agriculture that promotes climate change adaptation and mitigation while improving livelihoods is being advocated to smallholder farmers. Most studies in this area focus on the yield and income impacts of practices, but we explore farmer well-being impacts. Using a multi-criteria analysis embedded in an in-person questionnaire, our findings suggest that smallholder farmers in Southern Malawi have diverse preferences for climate-smart practices based on location, access to markets and resources and importance placed on climate adaptation. The use of multidimensional well-being criteria provides deeper insights into the motivations and priorities of farmers, revealing trade-offs between immediate food needs and climate adaptation concerns, as well as between the need for incentives versus the risk of conditional credits. Our study calls for tailored climate-smart agriculture projects that allow farmers to adopt practices that meet their needs.

Macrophytes serve as indicators of aquatic ecosystem health and are often employed in monitoring the condition of water bodies. Traditionally, such observations are conducted in situ, but remote sensing offers a cost-effective and scalable alternative. Here, an algorithm for macrophyte detection using satellite data was created; we utilized clustering, with its results serving as target labels for building a machine-learning model. We developed a model for macrophyte identification using reflectance data in the near-infrared band during spring and summer. The derived algorithm, employing Sentinel-2 satellite reflectance data, enables the identification of open water, submerged and floating macrophytes and emergent macrophytes. This approach enhances the efficiency and applicability of macrophyte assessment, bridging the gap between field observations and remote sensing for comprehensive aquatic ecosystem monitoring.

This study aims to evaluate the effectiveness of the Monarch Butterfly Biosphere Reserve (MBBR) in preventing forest degradation and land-use changes within communal lands in the context of limited public consultation and the transformation of communal forest governance. We analysed forest-cover changes over 50 years using a multi-temporal approach, integrating aerial photographs, orthophotographs and satellite imagery. We obtained contextual knowledge through our long-term research engagement with the region and interviews conducted during participatory fieldwork. We analysed land-use changes in a watershed within the MBBR in Mexico before and after its designation as a protected area. Despite the reserve’s protected status, nearly half of the study area experienced forest-cover changes. Surprisingly, the most intense deforestation occurred after conservation decrees, as some communities engaged in pre-emptive forest clearing in response to anticipated restrictions. However, in later periods, forest recovery – driven by payment for environmental services, natural regeneration and community participation – began to outpace degradation. Nonetheless, the fir forest that is essential for monarch butterfly habitat was reduced by 43.3%, with illegal logging being one of the leading causes. This study highlights the importance of community involvement when establishing protected areas, as it can help reduce environmental impacts and ensure conservation success.

Residents’ attitudes towards wildlife and their management can be crucial in population control. Using a novel approach, we examined East Tennessee residents’ tolerance for American black bears and attitudes towards hunting. Most residents viewed black bears positively, tolerated their presence and preferred seeing them in their area. Attitudes were influenced by concern about future encounters, the values and benefits attributed to bears, prior experiences and perceptions of human–bear conflict and conflict frequency, whereas sociodemographic factors were less influential. Support for regulated hunting was influenced by sociodemographic factors more so than cognitive factors. Our findings suggest opportunities for managers to increase tolerance of black bears among residents through outreach emphasizing the benefits of living with the bears and guidance for avoiding negative encounters. Greater trust in the wildlife agency may result from such outreach, potentially leading to greater levels of tolerance among residents of bear-inhabited areas.

Biodiversity knowledge gaps and biases persist across low-income tropical regions. Genetic data are essential for addressing these issues, supporting biodiversity research and conservation planning. To assess progress in wildlife genetic sampling within the Philippines, I evaluated the scope, representativeness, and growth of publicly available genetic data and research on endemic vertebrates from the 1990s through 2024. Results showed that 82.3% of the Philippines’ 769 endemic vertebrates have genetic data, although major disparities remain. Reptiles had the least complete coverage but exhibited the highest growth, with birds, mammals, and amphibians following in that order. Species confined to smaller biogeographic subregions, with narrow geographic ranges, or classified as threatened or lacking threat assessments were disproportionately underrepresented. Research output on reptiles increased markedly, while amphibian research lagged behind. Although the number of non-unique authors in wildlife genetics studies involving Philippine specimens has grown steeply, Filipino involvement remains low. These results highlight the uneven and non-random distribution of wildlife genetic knowledge within this global biodiversity hotspot. Moreover, the limited participation of Global South researchers underscores broader inequities in wildlife genomics. Closing these gaps and addressing biases creates a more equitable and representative genetic knowledge base and supports its integration into national conservation efforts aligned with global biodiversity commitments.

Monitoring wildlife populations in vast, remote landscapes poses significant challenges for conservation and management, particularly when studying elusive species that range across inaccessible terrain. Traditional survey methods often prove impractical or insufficient in such environments, necessitating innovative technological solutions. This study evaluates the effectiveness of deep learning for automated Bactrian camel detection in drone imagery across the complex desert terrain of the Gobi Desert of Mongolia. Using YOLOv8 and a dataset of 1479 high-resolution drone-captured images of Bactrian camels, we developed and validated an automated detection system. Our model demonstrated strong detection performance with high precision and recall values across different environmental conditions. Scale-aware analysis revealed distinct performance patterns between medium- and small-scale detections, informing optimal drone flight parameters. The system maintained consistent processing efficiency across various batch sizes while preserving detection quality. These findings advance conservation monitoring capabilities for Bactrian camels and other wildlife in remote ecosystems, providing wildlife managers with an efficient tool to track population dynamics and inform conservation strategies in expansive, difficult-to-access habitats.

Since the 1950s, the United Nations (UN) has designated days (e.g., World Wetland Day), years (e.g., Year of the Gorilla) and decades (e.g., Decade on Biodiversity) with a commonly stated goal to raise awareness and funding for conservation-oriented initiatives, and these Days, Years and Decades of ‘…’ (hereafter ‘DYDOs’) continue. However, the effectiveness of these initiatives to achieve their stated objectives and to contribute to positive conservation outcomes is unclear. Here we used a binary analysis change model to evaluate the effectiveness of UN conservation-oriented DYDOs observed between 1974 and 2020. We also examined four case studies to understand the different strategies employed to meet specified conservation goals. We found that DYDOs apparently contributed to positive conservation outcomes when they were tied to social media campaigns and/or when they were strategically situated in current events or global discourse. Although the outcomes of DYDOs were varied, those with longer timescales and those that engaged local communities were more likely to be successful. We suggest that DYDO organizers should identify all possible paths of action through the lens of the change model outlined in this paper to strengthen the value and effectiveness of these initiatives in the future. Using this approach could help ensure that resources are used efficiently and effectively, and that initiatives yield positive conservation outcomes that benefit people and nature.

Cocoa is an important agricultural product that plays a crucial role in local communities in South America. In Brazil, it is traditionally grown in agroforestry systems, which are more sustainable and contribute to biodiversity conservation. However, the recent expansion of intensive monocultures in tropical forests poses significant threats to this activity. Using historical data on land use and cocoa productivity at the municipality level from Brazil’s primary cocoa-producing states, we show that maintaining and restoring forest cover are positively correlated with cocoa productivity, particularly in areas with less anthropogenic disturbance. This highlights the dependence of cocoa production on ecosystem services. Recent data reveal that in municipalities where local agriculture is less reliant on cocoa, only larger farms have benefitted from increased forest cover, probably due to their greater dependence on fragments of natural habitat for ecosystem services. In municipalities that are more reliant on cocoa, the effects of forest cover were not detected, while strong negative effects of forest fragmentation were observed in both small- and large-scale farms. We emphasize the importance of preserving natural forests near cocoa plantations to optimize productivity in Amazon and Atlantic Forest agroforestry, especially in deforested areas.