Natural wild habitats are either destroyed or shrunk due to human interventions. Therefore, habitat evaluation is crucial for managing wildlife populations and designing robust conservation strategies. Species presence data and geographic information system (GIS) coupled with ground-breaking powerful statistical techniques have made such assessments possible. We used maximum entropy modeling (MaxEnt) to identify suitable habitats for Kashmir markhor (Capra falconeri cashmeriensis) in Malakand Division, Pakistan. MaxEnt was applied to 169 markhor sighting points and topographical and current bioclimatic variables. Results showed that the accuracy of the MaxEnt model was good (AUC = 0.889). Of the total area studied (8407.09 km²), 22.35% (1878.75 km²) was highly suitable and 32.63% (2743.53 km²) was moderately suitable for markhor. Protected areas including Chitral Gol National Park (CGNP), Tooshi-Sasha Conservancy (TSC), and Gehrait-Golain Conservancy (GGC) and their buffers were included in highly suitable habitats. MaxEnt also predicted highly suitable habitats in Kumrat and Kalam valleys. We believe that moderately suitable habitats identified in Jinjeret, Ursoon, Birir valley, and Bumborait valley have the potential to host markhor populations. Based on the results obtained in the current study, we strongly recommend expanding the current protected areas (PAs) network in the study area and strengthening it by inclusive conservation management with local communities.

Wild ungulates play vital roles in maintaining a balanced ecosystem through herbivory and are also an important determinant of carnivores’ density. The flare-horned markhor (Capra falconeri) is a threatened wild goat distributed across the mountain ranges of Pakistan, India, Afghanistan, Russia, Turkmenistan, Uzbekistan, and Tajikistan. The remote terrain and fragmented population limit our understanding of the population ecology of markhor, though knowledge of the target species population is vital for making informed management decisions. Therefore, the current study was designed to determine the markhor population across their range in Northern Pakistan and to evaluate the efforts made by the government and non-government organizations for the conservation of markhor. Double-observer surveys were conducted during 2019–2021 in nine major watersheds of Khyber Pakhtunkhwa and Gilgit-Baltistan covering an area of 4664 km². Secondary data were collected for unassessed areas to gain a holistic overview of the markhor population and density in the region. Results revealed a markhor population of 7579, with a density of 0.30 animals per km² in Northern Pakistan. Our analysis of the double-observer data through the Bayesian behavioral capture–recapture model estimated a population of 5993 individuals (95% CI) of markhor across nine study sites, with a density of 1.28 animals per km². A review of secondary data revealed that a population of about 1586 was present in the un-surveyed area (20,033.33 km²), with a density of 0.08 per km². A total of 146 groups of markhor were counted, with a mean group size of 23 (3–58) individuals. There were 109 males and 108 young per 100 females in the population. Among 1936 recorded males, Class I males accounted for 27.74%, followed by Class II (26.45%), Class IV (trophy-size) (23.40%), and Class III (22.42%). The overall detection probability was recorded as 0.87 and 0.68 for the first observer and second observer, respectively. Compared with the past reports, the population of markhor in Northern Pakistan appears to be increasing, particularly in protected areas (PAs) such as national parks and community-controlled hunting areas (CCHAs). Conservation programs, notably trophy hunting and PA networks, appear to be vital in sustaining markhor populations in parts of the species range. We recommend expansion in such programs in the markhor range in order to maintain a viable population of this majestic wild goat in the region.

In developing countries, long-term conservation goals are hindered by the high economic costs of human–wildlife conflicts. The grey wolf is one of the prominent species indulged in these incidents. We investigated human–wolf conflicts (HWCs) by interviewing 104 respondents from five villages in Kumrat Valley, northern Pakistan. The respondents declared the grey wolf a common and highly dangerous carnivore. The grey wolf was found implicated in livestock predation, inflicting a yearly economic loss of USD 9225 (USD 88.70 per household (with monthly average income of 119 USD)). Our results confirmed that livestock predation was the main reason for the community’s hostile attitude (65.38%) and perception of the grey wolf. Concerning occupation, farmers have the most significant negative attitude (p = 0.040) towards the grey wolf, yet employees (p = 0.025) and students (p = 0.030) showed a positive attitude. In addition, the other factors contributing to the negative attitude towards the grey wolf were the grey wolf sightings and livestock predation (p = 0.016 and p = 0.006), respectively. Based on the findings, we believe that predation compensation and livestock vaccination programs (as done in Gilgit-Baltistan Province of northern Pakistan as a measure of snow leopard conservation, to prevent mass mortalities of livestock due to diseases and in turn safeguarding the predator from retaliatory killing by locals in case of livestock predation) educating the populous can be very promising in minimizing the HWCs in the study area. We also recommend robust and continuous coordination between the local communities and the concerned departments.

Natural wildlife habitats are regularly subjected to anthropogenic pressures for different purposes, which are heading the biodiversity towards drastic decline. Several endangered wild species are raised in captivity with the aim of re-introduction. In some instances, mixed herds’ rearing approach in captivity is adopted for providing social enrichment to captive stocks; however, the impacts of species on each other are least documented. We tested our prediction that keeping mixed herds of captive wild sheep and antelopes provides adequate social enrichment to the captive stocks: if interspecific interactions are balanced. In the current study, we studied the interspecific competition between mixed herds of captive Punjab urial (Ovis vignei punjabiensis) and Indian gazelle (Gazella bennettii) at Manglot Wildlife Park, Nowshera District, Khyber Pakhtunkhwa Province, Pakistan. We documented the negative effects of behavioural interference by Punjab urial on the feeding behaviour of Indian gazelle. The outcome of the current study revealed that Punjab urial are highly intolerant towards Indian gazelle, with high interference during feeding. Out of the total aggressive events, 77% (N = 1259) of events ended up with win/loss, in which Punjab urial dominated the Indian gazelle 3.5 times. Moreover, lopsided dominance by Punjab urial resulted in increased intraspecific competition among Indian gazelle (p < 0.001). Current study divulged Indian gazelle to be the subordinate species, with less intake of food. Instead of providing social enrichment by heterospecifics, the Punjab urial is negatively affecting the Indian gazelle, therefore, the results of our study discourage the practice of admix captive breeding for wild sheep and antelopes.

Mammalian carnivores play an important role in maintaining the integrity of an ecosystem; therefore, their conservation as an umbrella species ensures the conservation of other species as well as the entire ecosystem. The northern area of Pakistan has a rich diversity of globally and regionally significant carnivore species, many of which are threatened mainly due to conflict with humans. In the current study, we used multiple survey techniques: camera trapping, sign surveys, and questionnaire surveys in the Basha–Braldu Valleys of the Central Karakoram National Park (CKNP) during the period 20 May–31 July 2017. The objectives were to document mammalian carnivore diversity and relative abundance and to assess community perceptions of carnivores and human–carnivore conflicts associated with economic losses from livestock depredation. Camera trapping was only carried out in the Basha valley, where 30 motion-triggered cameras were deployed for two months, maintaining a minimum spatial distance of 1 km between the nearest cameras. Sign surveys were carried out in both valleys by dividing the area into 5 km × 5 km grids. Signs of carnivores were searched in a 50 m radius of the sampling point, and a minimum distance of 100 m was maintained between the two nearest sampling points. The questionnaire survey was conducted in communities residing in both valleys. Overall, 140 randomly selected locals from 23 villages were interviewed about the human–carnivore interaction in the area. The questionnaire covered the respondents’ demographics, carnivore sightings and status, economic loss due to livestock depredation, and local perceptions towards carnivores. The study confirmed the presence of seven carnivore species, including the snow leopard (Panthera uncia), grey wolf (Canis lupus), red fox (Vulpes vulpes), brown bear (Ursus arctos), Himalayan lynx (Lynx lynx), stone marten (Martes foina), and weasel (Mustela altaica). Of the total livestock losses reported, carnivores accounted for 30% (394 animals), while 70% (1347 animals) were attributed to disease, resulting in an overall economic loss of USD 138,778 (USD 991 per household). Livestock depredation varied with season, prey type, location, livestock guarding practices, and predator species. Due to high levels of livestock depredation, local communities perceived the grey wolf as the most dangerous carnivore, with many respondents favoring its reduction or elimination. Our findings indicate that the Basha–Braldu Valleys support a rich diversity of globally important carnivore species; however, human–carnivore conflict driven by livestock depredation remains a major conservation challenge. Effective conflict-mitigation interventions are essential to promote sustainable conservation practices and long-term coexistence within these mountain ecosystems. Further studies are recommended to improve the understanding of carnivore population status, distribution, and dietary ecology.