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.

Wetland conservation increasingly requires integrated social science approaches, linking environmental education, participatory governance and behaviour change. To address illegal hunting of migratory and rare bird species in northern Iran’s Sorkhrud Wetland, we applied a three-layered intervention model integrating environmental education, social network analysis (SNA) and conservation behaviour change theory. These three layers examined individual cognitive–motivational empowerment, network-level communication and collaboration with collective behavioural outcomes. SNA was conducted before and after the educational intervention to assess shifts in participatory relationships, while principal component analysis evaluated changes in awareness and communication. The intervention between 2022 and 2023 combined semi-structured interviews and participatory workshops with diverse stakeholders (n = 44), including officials, non-governmental organizations, activists, hunters and academics. The results showed increased network density (from 0.22 to 0.55) and reduced centrality (from 0.51 to 0.34), indicating a more inclusive, socially grounded structure. Mediating actors gained influence in raising public awareness of wetland values. This framework demonstrates transferability to other wetlands and natural resources, while the Sorkhrud case provides empirical context. Integrating education-based interventions with network analysis offers internationally relevant insights into participatory conservation strategies. Practically, the framework enhances collaboration and awareness, guiding replication in similar settings.

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.

Accurate identification of potentially toxic element (PTE) sources is crucial for effective risk mitigation; however, the complex solubility of trace elements hinders such identification. Here, levels of PTEs in the dust of 105 leaf samples from 21 sites in urban Guiyang (China) were measured and positive matrix factorization was applied to help identify PTE sources. These results were validated through correlating PTE concentrations with the land-use areas surrounding the sample sites. Ni and As in the leaf dust were linked to the cleanest conditions, followed by Cr. Conversely, Zn, Cu, Cd and Pb were associated with higher pollution levels. Three primary sources of PTEs were identified, with traffic-agriculture emissions being the largest contributor at 40.42%. Natural sources followed closely at 39.41%, while industrial processes accounted for the remaining 20.17%. High-pollution areas were clustered around traffic hubs, where frequent vehicle idling and acceleration increased emissions. As traffic emission was a major source of atmospheric pollution, targeted flow optimization is needed to reduce risks of human exposure.

In spite of contributing to social, economic and cultural well-being, wetlands in the Indian Himalayan Region have seen rapid degradation due to unplanned anthropogenic activities. We analysed spatiotemporal wetland dynamics in Srinagar (1991–2031) using remote sensing and Geographic Information Systems. The future land cover for 2031 was projected using an artificial neural network–multi-layer perceptron and cellular automata model. Change detection in the open water area of Dal Lake and its 2-km peri-lacustrine zone was conducted to identify land-cover transition patterns. Furthermore, wetland landscape pattern changes were quantified using landscape metrics to assess fragmentation and spatial configuration over time. The results reveal that, from 1991 to 2021, wetlands decreased from 16.12 to 7.2 km2, with the open surface water area of Dal Lake and its 2-km peri-lacustrine zone declining from 9.77 to 6.39 km2. The land cover projected for 2031 indicates that the total wetland area may decrease to 5.62 km2. Landscape metrics indicated increasing fragmentation and decreasing contiguity among wetland patches, as revealed by fluctuating shape complexity and aggregation, primarily due to conversions to agricultural land, fallow land and built-up areas.

Tropical forests provide essential ecosystem services (ESs) that sustain local livelihoods, yet rural Amazonian communities – among those most dependent on these services – remain under-represented in empirical valuation studies, limiting the integration of local conservation values into policy design. This study addresses this gap by estimating the willingness to pay (WTP) for ES conservation and the relative economic effort (WTP/income ratio) in two rural communities of the Peruvian Amazon: San Joaquín de Omaguas and Santa Clara de Nanay. Using a dichotomous contingent valuation format, 481 households were surveyed in 2024, and WTP was estimated through logit models following National Oceanic and Atmospheric Administration (NOAA) guidelines. The results indicate an average WTP of PEN 3.076 (USD 0.86) per month – equivalent to 0.50% of income – representing a higher relative effort than is typically reported in high-income countries and consistent with the lower bound of values observed in low-income settings. Education, household size and local origin increased WTP, whereas income showed a negative association. These findings align with international evidence showing that education and social-relational values rather than income are the key drivers of WTP in low-income contexts. Despite these efforts, aggregate local contributions would be insufficient to finance conservation actions. Therefore, context-sensitive financial mechanisms – such as community environmental funds, differentiated contribution schemes and external co-financing – are needed to ensure equity and sustainability. This study contributes original empirical evidence from low-income Amazonian communities and highlights the relevance of the WTP/income ratio as a comparative indicator to inform equitable and transparent conservation finance.