Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations.

The Indian pangolin (Manis crassicaudata) is the only member of the order Pholidota found in Pakistan. The current study was designed to compare the mortality rate and causes of mortality of Indian pangolin from eight districts, i.e., four from Khyber Pakhtunkhwa and four from Punjab, Pakistan during 2019–2022. Data were collected by using self-designed questionnaires (n = 340) and social media reports. Most of the data were collected from Facebook 53 %, followed by Instagram (22 %), WhatsApp (17 %), and OLX (10 %). Mean and standard deviation were computed for district-wise killing (mean ± SD 15.25 ± 10.21), season-wise killing (mean ± SD 30.50 ± 9.8), month wise killing (mean ± SD 10.38 ± 4.19) and area wise killing (mean ± SD 40.7 ± 17.6). The killing of 179 Indian pangolins was recorded in four districts of Khyber Pakhtunkhwa, while in Punjab 59 Indian pangolins were killed. According to interviewees, 33 % of the mortality of Indian pangolin was caused by illegal killing followed by human settlement (17 %), agricultural practices (13 %), mites and ticks (11 %), natural mortality (8 %), accidents (7 %), myth (6 %), and floods (5 %). District wildlife departments of Khyber Pakhtunkhwa and Punjab arrested many people (KPK n = 83, Punjab n = 57) during 2019–2022. The highest fines were imposed by the Chakwal Wildlife Department, i.e., 20,000–60,000 PKR along with 1–4 months of imprisonment sentences. Eight dead pangolins were recovered among those six were male (75 %) and two were female (25 %). Principal component analysis (PCA) showed that PC appears to be influenced the most by mites and ticks (MT), myth, natural mortality (NM) and “flood” given their strong loadings. PC2 was heavily influenced by killed for illegal trade (KFIT), accident, and agriculture practices (AP) due to their significant negative loadings. PC3 has NM and AP as the dominant variables, KFIT, also playing a role but in the opposite direction. PC4 showed strong influences from NM (negative) and flood (positive). We concluded that the illegal killing of Indian pangolin is very high. Conservation efforts are crucial to protect these unique and endangered creatures.

Leishmaniasis is one of the global health issues and is still being handled with costly and sometimes unsuccessful compounds having serious side effects, highlighting the importance of seeking new potent antileishmanial compounds. Herbal medicines have been considered as the main source of prevention and treatment for a wide variety of diseases as well as other photogenetic diseases over the last few centuries. The current study was designed to investigate the in vitro and in vivo antileishmanial efficacy of ethanolic and methanolic extracts of Berberis vulgaris root collected from Kurez region of District Orakzai, Khyber Pakhtunkhwa, Pakistan. Stationary growth-phase metacyclic promastigotes form of Leishmania tropica was incubated in vitro in methanolic and ethanolic extracts using amphotericin B as a positive control. The antileishmanial activity of B. vulgaris extracts was measured after the incubation period using methoxynitrosulfophenyl-tetrazolium carboxanilide assay. For the in vivo study, BALB/c mice were infected with metacyclic L. tropica promastigotes, and lesions appeared after 28 days of inoculum. The results of study research showed that B. vulgaris extract had a powerful antileishmanial activity on promastigotes of L. tropica at different concentrations (5, 10, 25, 50, and 75 μg/mL). The inhibition concentration 50 values for ethanolic and methanolic extracts of B. vulgaris were determined to be 15.37 and 17.55 μg/mL, respectively. In the in vivo activity, it was observed that B. vulgaris ethanolic extract at the concentration of 1.5 mg/kg decreased the lesion diameter in BALB/c infected mice. The ethanolic extract topically and orally reduced the lesion size 0.51 ± 0.023 and 0.56 ± 0.008 mm, while methanolic extract both topically and orally decrease the lesion diameter of 0.63 ± 0.008 and 0.68 ± 0.009 mm relatively, in comparison with negative control (1.45 ± 0.016 mm). Hematological parameters of mice including blood red blood cells, hematocrit, and hemoglobin in mice groups (infected non-treated) were found to be decreased, while the mice group treated with extract demonstrated nearly similar results to non-infected group. It is concluded from the current study that antileishmanial activity of B. vulgaris from Pakistan against L. tropica in both in vitro and in vivo showed a promising antileishmanial activity. This study might be helpful in the control strategies of cutaneous leishmaniasis caused by L. tropica.

This study was designed to determine the fragmentation of sub-lakes in winter and its effects on wintering waterbirds in Poyang Lake. Poyang Lake becomes fragmented in winter, which forms many seasonal sub-lakes every year, and have different environmental characteristics. These sub-lakes significantly impact winter bird habitats and result in susceptibility to various changes, because birds have different distribution responses. A total of 24 sub-lakes were surveyed from one to five vantage points using point count methods in each sub-lake with binoculars, monocular, and a spotting scope for four consecutive winter seasons. The multi-site dissimilarity Sorensen index measures overlapped between two populations, and the R software “iNEXT” package was used to evaluate the sample coverage test of the study area. We observed 58 wintering waterbird species belonging to 9 orders and 15 families from 2016 to 2020. Spearman correlation analysis showed that the species richness of wintering waterbirds was significantly positively correlated with the sub-lake areas and associated with the richness of habitat type. The WNODF analyses were considerably correlated for sites of waterbirds, mainly with the abundance of forage and conservation of habitat form. The outcomes of this study showed that Maying Lake has the highest local beta diversity, whereas Dacha Lake has the lowest local beta diversity contribution (0.007). This study’s findings demonstrate Poyang Lake’s role in waterbird the habitat suitability of waterbirds, especially for foraging and conservation.

The Indian pangolin ( Manis crassicaudata ; Manidae, Pholidota), a species categorized as “Endangered” on the IUCN Red List, is one of nine extant pangolin species in Asia. This study investigated habitat preference, habitat suitability, and illegal trade routes of the Indian pangolin in Pakistan's Khyber Pakhtunkhwa province. Habitat preference was determined by analyzing the distribution and density of pangolin signs across various land cover types. Habitat suitability for the species was assessed using the MaxEnt modeling approach and field data. Trade routes were identified using information from hunters, poachers, dealers, and local communities to understand the threats related to illegal wildlife trafficking. Results indicated significant differences in burrow distributions across habitats ( χ ² = 17.756, df = 6, p < 0.01), which suggest ecological preferences and adaptations. We complemented MaxEnt with Random Forest and Support Vector Machine models trained with the same predictors and spatial folds to validate robustness and characterize non‐linear effects. Across held‐out folds, SVM performed best, with RF and MaxEnt yielding comparable but lower discrimination; a TSS‐weighted ensemble provided a stable consensus SVM (mean AUC ≈ 0.61; TSS ≈ 0.33). Variable‐importance and partial‐dependence analyses consistently highlighted Elevation, NDMI, and NDWI as influential predictors. Several routes used for the illegal trade of Indian pangolin scales and whole animals were identified. The study also highlights the ongoing issues of illegal poaching and habitat intrusion, worsened by low local awareness and inadequate enforcement. The findings support a comprehensive conservation strategy that includes strict enforcement of wildlife protection laws, increased penalties for poaching, community‐based monitoring through targeted awareness campaigns, local wildlife patrols, and ongoing scientific research to support habitat restoration, adaptive management, and evidence‐based policy development. Community‐based conservation initiatives and improved wildlife law enforcement at key trafficking hubs could significantly reduce poaching pressure.