AbstractThe Sichuan golden snub‐nosed monkey (Rhinopithecus roxellana) is a rare and endangered primate species endemic to China. Conducting research on the population distribution changes of the Sichuan golden snub‐nosed monkey holds paramount importance for its conservation. Our study represented a comprehensive investigation into the population distribution of the Sichuan snub‐nosed monkey by integrating data acquired from field surveys, protected areas, and historical records and using Geographic Information Systems (GIS) to explore changes in distribution across various time periods, including the historical (the Mid‐to‐Late Pleistocene), recent (1980–2000), and current (2001–2023). The research findings demonstrate a significant shift in the distribution range of the Sichuan golden snub‐nosed monkey compared to historical time frames. Notably, between 1980 and 2000, there was a sharp decline in distribution area. Analyses revealed that the southernmost distribution county for the Sichuan golden snub‐nosed monkey in Sichuan Province has shifted northward from Huili to Kangding. Furthermore, distribution changes in Sichuan Province are not solely characterized by a reduction in habitat area but also by a decrease in vertical distribution zones. Regions in the northeastern part of Sichuan with elevations below 1000 m, such as Guang'an City, Bazhong City, Dazhou City, and Nanchong City, no longer support the presence of the Sichuan golden snub‐nosed monkey. At present, the distribution range is confined to elevations between 1000 and 4000 m in the two major mountain ranges of Qionglai and Minshan. A holistic approach is required to safeguard this species. The establishment of movement corridors can play a critical role in enhancing the overall connectivity of current distribution areas. Additionally, we propose implementing a hierarchical approach to protect current habitats. Spatially differentiated conservation measures should be implemented to prioritize the protection of key habitats while simultaneously monitoring anthropogenic activities in non‐key habitats to prevent further fragmentation and isolation of the monkey's distribution areas.

The Pallas’s cat (Otocolobus manul) is one of the most understudied taxa in the Felidae family. The species is currently assessed as being of “Least Concern” in the IUCN Red List, but this assessment is based on incomplete data. Additional ecological and genetic information is necessary for the long-term in situ and ex situ conservation of this species. We identified 29 microsatellite loci with sufficient diversity to enable studies into the individual identification, population structure, and phylogeography of Pallas’s cats. These microsatellites were genotyped on six wild Pallas’s cats from the Tibet Autonomous Region and Mongolia and ten cats from a United States zoo-managed population that originated in Russia and Mongolia. Additionally, we examined diversity in a 91 bp segment of the mitochondrial 12S ribosomal RNA (MT-RNR1) locus and a hypoxia-related gene, endothelial PAS domain protein 1 (EPAS1). Based on the microsatellite and MT-RNR1 loci, we established that the Pallas’s cat displays moderate genetic diversity. Intriguingly, we found that the Pallas’s cats had one unique nonsynonymous substitution in EPAS1 not present in snow leopards (Panthera uncia) or domestic cats (Felis catus). The analysis of the zoo-managed population indicated reduced genetic diversity compared to wild individuals. The genetic information from this study is a valuable resource for future research into and the conservation of the Pallas’s cat.

Understanding of predator feeding ecology, interactions among co-occurring predator species, and seasonal changes is critical for conservation management given the important role that predators play in shaping their ecosystems, but is lacking for most regions of the world. Dietary studies have demonstrated varying conclusions in the role that resource partitioning plays in the maintenance of predator communities due to complex inter-related factors that may shape prey use. We used DNA metabarcoding on 581 scat samples to determine the dietary composition, similarity, diversity, and niche overlap of eight predator species (Tibetan wolf (Canis lupus), snow leopard (Panthera uncia), Tibetan brown bear (Ursus arctos pruinosus), Eurasian lynx (Lynx lynx), Tibetan fox (Vulpes ferrilata), red fox (V. vulpes), Pallas’s cat (Otocolobus manul), and beech marten (Martes foina)) across four sampling periods (September 2019, December 2019, March 2020, July 2020) in the Gouli Nature Reserve located in Dulan County, Qinghai Province, China. We identified 26 unique prey items, with blue sheep (Pseudois nayaur) and pika (Ochotona spp.) being most common. Small mammals had the highest frequency of occurrence, while domestic and wild ungulates contributed the most biomass. No significant differences in diet were detected across months, with the exception of March and December for the red fox (p = 0.010). Dietary niche overlap was greater than expected when considering all species (p < 0.001) across seasons and between the Tibetan wolf and snow leopard in March (p = 0.007) when compared for species pairs by season. This study contributes to understanding of fine-scale temporal changes in predator diet, and offers methodological and management strategies that may have applicability to other predator guilds living in complex landscapes.

Carnivores play key roles in maintaining ecosystem structure and function as well as ecological processes. Understanding how sympatric species coexist in natural ecosystems is a central research topic in community ecology and biodiversity conservation. In this study, we explored intra- and interspecific niche partitioning along spatial, temporal, and dietary niche partitioning between apex carnivores (wolf Canis lupus , snow leopard Panthera uncia , Eurasian lynx Lynx lynx ) and mesocarnivores (Pallas’s cat Otocolobus manul , red fox Vulpes vulpes , Tibetan fox Vulpes ferrilata ) in Qilian Mountain National Park, China using camera trapping data and DNA metabarcoding sequencing data. Our study showed that apex carnivore species had more overlap temporally (coefficients of interspecific overlap ranging from 0.661 to 0.900) or trophically (Pianka’s index ranging from 0.458 to 0.892), mesocarnivore species had high dietary overlap with each other (Pianka’s index ranging from 0.945 to 0.997), and apex carnivore and mesocarnivore species had high temporal overlap (coefficients of interspecific overlap ranging from 0.497 to 0.855). Large dietary overlap was observed between wolf and snow leopard (Pianka’s index=0.892) and Pallas’s cat and Tibetan fox (Pianka’s index=0.997), suggesting the potential for increased resource competition for these species pairs. We concluded that spatial niche partitioning is likely to key driver in facilitating the coexistence of apex carnivore species, while spatial and temporal niche partitioning likely facilitate the coexistence of mesocarnivore species, and spatial and dietary niche partitioning facilitate the coexistence between apex and mesocarnivore species. Our findings consider partitioning across temporal, spatial and dietary dimensions while examining diverse coexistence patterns of carnivore species in Qilian Mountain National Park, China. These findings will contribute substantially to current understanding of carnivore guilds and effective conservation management in fragile alpine ecosystems.

Carnivore species are vital to ecosystem function and maintenance. One key component to understanding carnivore ecology and the most effective means of management is knowledge of dietary resource use. Traditional methods used to study carnivore diet, such as microhistology, have several technical and logistical shortcomings. These have hindered the quality and quantity of data that shape understanding of how carnivores exploit prey. Advances in genetic methodologies and their application to wildlife biology has transformed the manner in which information about species can be gained. DNA metabarcoding is one such example. With this approach, genetic sequences present in scat can be determined via next-generation sequencing and matched to reference databases, revealing the carnivore that deposited the scat and the prey it consumed. DNA metabarcoding has the ability to overcome many of the previous challenges associated with dietary analysis and works to advance and inform current knowledge surrounding carnivore ecology, predatorprey relationships, conflicts between carnivores and humans, and potential adaptability to large-scale landscape shifts. Its use has provided novel insights on numerous carnivore species to help inform research priorities and wildlife policies, including those living in unique fragile environments such as the Qinghai-Tibetan Plateau of China. The continued development and increased capacity of molecular dietary analysis via DNA metabarcoding has the promise to grossly improve carnivore conservation management strategies on a global scale.

This article, based on the sustainable livelihood framework and survey data from 1264 households in Xishuangbanna Dai Autonomous Prefecture, Puer City, and Lincang City in Yunnan Province, China, analyzes the impact mechanism of livelihood capital on the production input behavior of farmers affected by Asian elephant damage and the moderating effect of Asian elephant damage on this process using ordinary least squares (OLS) models. The study finds the following: (1) Asian elephant damage has a significant negative effect on farmers’ production input, meaning that as the severity of Asian elephant damage increases, farmers reduce their input into agricultural production factors. (2) Livelihood capital has a significant positive effect on farmers’ production input, and both the increment and stock of livelihood capital promote an increase in farmers’ production input. (3) Asian elephant damage strengthens the influence of livelihood capital on farmers’ inputs of agricultural production factors. Based on these findings, four recommendations are proposed: emphasizing the cultivation and enhancement of farmers’ livelihood capital, improving strategies for managing and preventing wildlife damage, optimizing the economic compensation mechanism for human–wildlife conflicts, and adhering to sustainable development and resource allocation. These recommendations aim to enhance wildlife conservation and management policies, strengthen farmers’ risk-coping capabilities, and ensure the sustainability of agricultural production and livelihoods.

OPINION article Front. Ecol. Evol., 24 February 2022 | https://doi.org/10.3389/fevo.2022.818798

Personal injury and property damage caused by wildlife can worsen the relationship between humans and wildlife. In recent years, conflicts between herders and Tibetan brown bears (Ursus arctos pruinosus) (human–bear conflicts; HBCs) on the Qinghai-Tibetan Plateau have increased dramatically, severely affecting community motivation for the conservation of brown bears and other species. Understanding the types, effectiveness, and flaws of current HBC mitigation measures is critical to develop effective strategies to alleviate HBC. From 2017 to 2019, we conducted a systematic field survey regarding HBCs on the Qinghai-Tibetan Plateau. In addition, we invited bear specialists and multiple interest groups to hold an HBC seminar and proposed some potential mitigation strategies. We surveyed 312 families via semi-structured interviews and documented 16 types of HBC mitigation measures. A total of 96% of respondents were using more than two mitigation measures simultaneously. The effectiveness evaluation of HBC mitigation measures showed that: (1) removing food from winter homes while herders were at their summer pastures and asking people to keep watch of winter homes were effective at protecting food and houses; (2) traditional grazing methods (human guarding of livestock all day) and solar soundboxes (attached to livestock) were effective at protecting free-range livestock; (3) solar street lights had a deterrent effect on brown bears and were effective in protecting livestock, houses, and people; and (4) due to the unstable power supply of photovoltaic cells and improper installation of ground wires, electric fences were not ideal in practice. Evaluation of the potential mitigation measures at the seminar showed that upgrading electric fence technology, expanding electric fence pilot areas, installing diversionary feeders, and introducing bear spray were the most optimal solutions. This study provides a scientific basis for creating human–bear coexistence plans on the Qinghai-Tibet Plateau.

Understanding landscape connectivity and population genetic parameters is imperative for threatened species management. However, such information is lacking for the snow leopard ( Panthera uncia ). This study sought to explore hierarchical snow leopard gene flow patterns and drivers of genetic structure in Mongolia and China. A total of 97 individuals from across Mongolia and from the north-eastern edge of the Qinghai-Tibetan Plateau in Gansu Province to the middle of Qinghai Province in China were genotyped across 24 microsatellite loci. Distance-based frameworks were used to determine a landscape scenario best explaining observed genetic structure. Spatial and non-spatial methods were used to investigate fine-scale autocorrelation and similarity patterns as well as genetic structure and admixture. A genetic macro-division between populations in China and Mongolia was observed, suggesting that the Gobi Desert is a substantial barrier to gene flow. However, admixture and support for a resistance-based mode of isolation suggests connective routes that could facilitate movement. Populations in Mongolia had greater connectivity, indicative of more continuous habitat. Drivers of genetic structure in China were difficult to discern, and fine-scale sampling is needed. This study elucidates snow leopard landscape connectivity and helps to prioritize conservation areas. Although contact zones may have existed and occasional crossings can occur, establishing corridors to connect these areas should not be a priority. Focus should be placed on maintaining the relatively high connectivity for snow leopard populations within Mongolia and increasing research efforts in China.

Understanding predator guild resource use is vital for carnivore species preservation and ecosystem function in high-altitude landscapes. We describe the dietary composition, similarity, and niche overlap for seven carnivore species across three regions of the Qinghai–Tibetan Plateau (Qilian Shan, East Burhanbuda Mountain, Yushu) using DNA metabarcoding of 760 scat samples. Analyses found 33 unique prey items representative of the classes Mammalia, Aves, and Actinopterygii. Blue sheep (Pseudois nayaur) and pika (Ochotona sp.) were most frequently detected. Livestock in carnivore diets ranged from 4% to 7% depending on site, but accounted for 21.7% of Tibetan wolf (Canis lupus) diet. Eurasian lynx (Lynx lynx), Tibetan fox (Vulpes ferrilata), Pallas's cat (Otocolobus manul), and snow leopard (Panthera uncia) had highly uneven diets. Intraguild predation of mesocarnivores by apex carnivores was found. Analysis of dietary niche overlap using Pianka's index showed that overlap was significantly greater than expected among all carnivores examined and between apex and mesocarnivores, though significant correlations between carnivore body mass and prey body mass suggested broad separation in consumed prey. Snow leopard and Tibetan wolf diets were consistently the most similar of any two given species pairs. This study provides evidence of high dietary overlap. Protection for species consumed by a wide variety of carnivores will benefit predator guilds in the area and assist in maintaining the relatively low frequency of livestock predation. This work provides insight into the dynamics of carnivore guilds living in an area that has worldwide impacts, and methods herein could be applied on global scales for conservation efforts.

Mesocarnivores play important roles in shaping the ecosystems they inhabit, but are often overlooked in comparison to larger-bodied apex predators. Sympatric mesocarnivore species can minimise interspecific competition by spatial avoidance or by altering temporal activity to reduce encounter rates. Here, we used camera traps to investigate the spatial and temporal co-occurrence of mesocarnivores in the Qinling Mountains of China. We obtained 1312 independent detections of target mesocarnivore species with an effort of 93,606 camera-trap days from April 2014 to October 2017. Our results showed that: (1) the relative activity indices (RAI) differed among mesocarnivores species, with the RAI of hog badger being significantly higher than that of other species; (2) the probability of occupancy varied among species, with yellow-throated marten (ᴪ = 0.338) having the highest occupancy estimates; overall, occupancy by yellow-throated marten correlated positively with vegetation type (β = 0.31 ± 0.13); (3) Asiatic golden cat, Siberian weasel and ferret badger tended to segregate themselves spatially, while spatial overlap indices of any two given pairs of leopard cat, masked palm civet, hog badger and yellow-throated marten were relatively high; (4) leopard cat was nocturnal and crepuscular, while masked palm civet and ferret badger were primarily nocturnal, and yellow-throated marten was diurnal and crepuscular. Hog badger had no clear daily pattern; (5) all species except the yellow-throated marten showed moderate to high temporal overlap. Our results show that spatial and temporal segregation of mesocarnivores may serve as the mechanism to reduce competition and facilitate coexistence.

Yushu Prefecture in Qinghai Province provides some of the largest known stretches of habitat for the Vulnerable snow leopard Panthera uncia in China. People living in these areas are dependent on agropastoralism. Support from local communities is necessary for effective long-term conservation action for snow leopards, but loss of livestock to snow leopards can create financial burdens that induce negative attitudes and encourage retaliatory killing. We assessed factors driving herders' attitudes towards snow leopards and their conservation. We found that herders had higher agreement with positive than with negative statements about snow leopards despite nearly half reporting livestock loss to snow leopards within the last 5 years. No retaliatory killing was reported. Herders with more years of formal education and fewer livestock losses were more likely to have positive attitudes whereas those with lower importance of snow leopards to their religion, fewer livestock losses, and fewer years of education were more likely to have negative attitudes. Understanding the multifaceted mechanisms responsible for positive views towards species is imperative for reaching conservation goals. Our findings ascribe to the importance of increased education and adherence to Tibetan beliefs in promoting conservation tolerance towards snow leopards in Qinghai Province, but also indicate a need for further research into the impact of livestock loss.

Abstract Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km2 under current conditions and 228,997 km2 under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km2 and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management.

Habitat degradation and species range contraction due to land use/land cover changes (LULCC) is a major threat to global biodiversity. The ever-growing human population has trespassed deep into the natural habitat of many species via the expansion of agricultural lands and infrastructural development. Carnivore species are particularly at risk, as they demand conserved and well-connected habitat with minimum to no anthropogenic disturbance. In Pakistan, the snow leopard (Panthera uncia) is found in three mountain ranges—the Himalayas, Hindukush, and Karakoram. Despite this being one of the harshest environments on the planet, a large population of humans reside here and exploit surrounding natural resources to meet their needs. Keeping in view this exponentially growing population and its potential impacts on at-risk species like the snow leopard, we used geographic information systems (GIS) and remote sensing with the aim of identifying and quantifying LULCC across snow leopard range in Pakistan for the years 2000, 2010, and 2020. A massive expansion of 1804.13 km2 (163%) was observed in the built-up area during the study period. Similarly, an increase of 3177.74 km2 (153%) was observed in agricultural land. Barren mountain land increased by 12,368.39 km2 (28%) while forest land decreased by 2478.43 km2 (28%) and area with snow cover decreased by 14,799.83 km2 (52%). Drivers of these large-scale changes are likely the expanding human population and climate change. The overall quality and quantity of snow leopard habitat in Pakistan has drastically changed in the last 20 years and could be compromised. Swift and direct conservation actions to monitor LULCC are recommended to reduce any associated negative impacts on species preservation efforts. In the future, a series of extensive field surveys and studies should be carried out to monitor key drivers of LULCC across the observed area.

Biodiversity loss from climate and land use change is a global occurrence, but is of particular concern in more prominent biodiverse and sensitive areas such as the Hindu Kush Himalayan (HKH) region. This region harbors two species of geographically separated brown bear (Ursus arctos) - the Tibetan (U. a. pruinosus) and Himalayan brown bear (U. a. isabellinus). Both serve as important umbrella species, providing many ecological benefits to their surrounding ecosystems. However, how these two species from the same taxonomic group but with distinct geographical ranges, will respond to climate and land use change is poorly understood. The aim of this study was to predict the potential impacts of future climate and land use change on the distribution and dispersal paths of Tibetan and Himalayan brown bears in the HKH region. We applied MaxEnt modeling to predict the distribution of the two bear species both currently and for the year 2070, using three General Circulation Models and three scenarios of climate and land use change. We then identified potential dispersal paths using Circuit Theory. Results showed that both species would be negatively affected by the climate and land use change expected in the 2070s. In all three climate scenarios, their distribution areas would both shrink and shift to higher altitudes. Throughout the HKH region, Tibetan and Himalayan brown bears were predicted to lose over 34% and 32% of currently inhabited area under the most severe climate scenario, respectively. In addition, results showed that the density of dispersal paths for Tibetan brown bear would decrease while dispersal resistance would increase, and that dispersal paths for Himalayan brown bears would shift to higher latitudes. To protect these species, the currently suitable distribution areas and dispersal paths should be considered as priority protected areas. Our findings provide a scientific basis for allocating protected areas in the HKH region that are effective under the context of global climate change, and for establishing transboundary cooperation in the HKH region.

Application of next-generation sequencing (NGS) to DNA metabarcoding can greatly increase the understanding of predator–prey dynamics and the conflict between wildlife and humans, but remains underutilized for carnivores such as the threatened snow leopard ( Panthera uncia ). To date, this technique was hindered by the difficulty in discerning closely related caprines ( Caprinae ). We identified a segment of mitochondrial cytochrome c oxidase subunit 1 (MT-CO1) to differentiate these prey, and used this marker in tandem with a portion of mitochondrial 12S rRNA (MT-RNR1) to determine dietary items in 165 genetically confirmed snow leopard scats from four range countries. Identified prey species consisted of ten medium to large mammals, three small mammals, and two birds. The dominant prey consumed varied by country, with markhor ( Capra falconeri ) most prevalent in Pakistan, Siberian ibex ( C. sibirica ) in Mongolia and Kyrgyzstan, and blue sheep ( Pseudois nayaur ) in China. Livestock comprised 31% of diet occurrences from Pakistan and 15% from Mongolia. Domestic livestock included goat ( C. aegagrus hircus ), sheep ( Ovis aries ), bovids ( Bos taurus, B. grunniens, and potentially hybrids), and horse ( Equus caballus ). Protection and management of regionally specific wild prey is crucial for sustaining snow leopard populations, although overall dietary breadth suggests that snow leopards may exploit other species if necessary, including livestock. Additional sampling efforts across seasons, years, regions, and areas with varying degrees of livestock depredation are needed. MT-CO1 in conjunction with MT-RNR1 can be applied to other carnivore diet studies, making it an important tool for conservation and research, particularly in ecosystems with pastoral communities.

Global climate change poses major challenges for current biodiversity conservation efforts. Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate-related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in snow leopard (Panthera uncia) suitable habitat in Qinghai Province, China under a mild climate change scenario. Our results showed that the area of snow leopard suitable habitat in Qinghai Province was 302,821 km2 under current conditions and 228,997 km2 under 2050’s climatic scenario, and that its mean elevation would shift upward 90 m. At present, nature reserves protect 38.78% of the currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas climate refugia amounted to 212,341 km2, mainly distributed in Sanjiangyuan, Qilian mountains and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management.

Personal injury and property loss caused by wildlife often deteriorates the relationship between humans and animals, prompting retaliatory killings that threaten species survival. Conflicts between humans and Tibetan brown bears (Ursus arctos pruinosus) (Human-Bear Conflicts, HBC) in the Sanjiangyuan region have recently dramatically increased, seriously affecting community enthusiasm for brown bears and the conservation of other species. In order to understand the driving mechanisms of HBC, we proposed six potential drivers leading to increased occurrences of HBC. We conducted field research in Zhiduo County of the Sanjiangyuan region from 2017 to 2019 to test hypotheses through semi-constructed interviews, marmot (Marmota himalayana) density surveys and brown bear diet analysis based on metagenomic sequencing. Analysis of herder perceptions revealed that the driving factors of HBC were related to changes in their settlement practice and living habits, changes in foraging behavior of brown bears and recovery of the brown bear population. Since the establishment of winter homes, brown bears have gradually learned to utilize the food in unattended homes. Although 91.4% (n = 285) of the respondents no longer store food in unattended homes, brown bears were reported to still frequently approach winter homes for food due to improper disposal of dead livestock and household garbage. The frequency and abundance of marmots were found to be high in brown bear diet, indicating that marmots were the bears' primary food. However, marmot density had no significant effect on brown bears utilizing human food (P = 0.329), and HBC appears to not be caused by natural food shortages. Distance to rocky outcrops (P = 0.022) and winter homes (P = 0.040) were the key factors linked to brown bears pursuing human food. The number of brown bears has increased over the past decade, and HBC is likely linked to its population recovery. Our findings will provide scientific basis for formulating effective mitigation measures and protection countermeasures for brown bears.

Climate change has been regarded as one of the major threats to endangered species, and offers a wide variety of challenges to current conservation strategies. Assessing species’ vulnerability to climate change is a critical initial step for improving in-situ conservation planning. In this study, we used MaxEnt to predict the impacts of climate change on habitat suitability for wild camel (Camelus ferus) in the Kumtag Desert both during the current period and projected into the 2050 s. Our results showed that (i) suitable habitat for wild camel was predicted to decrease by 43.81% by the 2050 s; (ii) currently established nature reserves protected 57.86% of currently suitable habitat; (iii) 44.15% of currently suitable habitat was predicted to be vulnerable to future climate change, with a minor increase in newly suitable habitat by the 2050 s; (iv) climate refuge areas amounted to 21,601 km2 and were mainly located in the core area of the desert. Given these results, we propose conservation implications to mitigate the impacts of climate change on wild camel, including intergrating the suitable habitat into the planning of a proposed national park, constructing habitat corridors, restoring water sources, and implementing long-term monitoring.

Human-carnivore conflict (HCC) has become a major concern for both the management of protected areas and local community development worldwide. The occurrence and intervention of HCCs has been originated in duel context of the environment and social economy. In the Sanjiangyuan region of the Qinghai-Tibet Plateau, human-bear conflict (HBC) has emerged as a severe problem. Damages caused by Tibetan brown bears (Ursus arctos pruinosus) seriously threaten the livelihood and safety of local herders, decreasing community tolerance for brown bear conservation. A systematic field survey of HBC occurrences was undertaken in Zhiduo county of the Sanjiangyuan region in summer 2019. We surveyed 312 families via semi-structured interviews to understand the factors that contributed towards the likelihood of bear damage, representative conflict types, seasonal variation in damage occurrence, and mitigation measures deployed. The results showed that incidents of bear damage in the Sanjiangyuan region have elevated as a consequence of changes in the nomadic lifestyle of local herders. It is in part connected with simultaneous recovery of bear numbers following the conservation measures applied. Despite the widespread incidence of HBCs, with almost all respondents (n = 288, 92.31%) reporting occurrences of bear damage, most home damages were not compensated, and programs for such were lacking. Through the survey of the expected compensation types of local respondents, it was concluded that HBCs need to be mediated and resolved by integrated compensation schemes, physical and chemical prevention measures, and community development plans. Particularly, the local government should pay more attention to reducing family dependence on animal husbandry and transforming livelihood strategies into replaceable economic practices unrelated to grazing. These include things like ecological public welfare jobs and brown bear viewing ecotourism.