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Avian influenza is a global zoonotic disease influencing bird conservation and public health. Climate and land-cover changes can significantly impact influenza-susceptible species' distribution, thereby influencing avian influenza outbreaks. The Qinghai-Tibetan Plateau (QTP) plays a crucial role in avian influenza virus transmission and is susceptible to environmental changes. Here, we focused on two influenza-susceptible birds, the bar-headed goose (Anser indicus) and brown-headed gull (Chroicocephalus brunnicephalus), to predict their distribution on the QTP under climate and land-cover change scenarios. We integrated satellite tracking, field surveys, and publicly available datasets to collect species occurrence. Then, we utilized Biomod models to predict bird distribution under current and future scenarios. Our results indicated that the distance to water bodies (DW) and the mean temperature of the wettest quarter (BIO 8) significantly influenced the distribution of bar-headed geese and brown-headed gulls. The highly suitable distributions of both species are concentrated in the northeastern QTP and the Changtang Plateau, with only the Qaidam Basin showing a decrease in the future. Their future distribution has roughly doubled, with expansions toward western and higher elevations. We highlighted the influence of climate and land cover changes on bird distribution, and identified key areas of bird distribution, which are also critical areas for future avian influenza monitoring and prevention.

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.

Abstract Over the past few decades, social‐ecological transformations have contributed to the restoration of numerous carnivores, presenting new challenges for human‐wildlife coexistence. Evaluating and understanding human‐wildlife interaction dynamics, particularly for conflict‐prone species, is crucial for conservation and management strategies. Our study focuses on Asiatic Black Bear (Ursus thibetanus) in Western Yunnan, China, a region with favourable bear conditions and significant environmental changes due to conservation policies. This study employed a multifaceted approach to gather data on bear occurrences and human‐bear conflicts. Utilising species distribution models, we predicted the potential bear habitat in 2000 and 2020. We proposed a methodology integrating bear habitat with human footprint to delineate the human‐bear interface. Additionally, we evaluated the spatial–temporal variations in bear habitat and human‐bear interface between 2000 and 2020. Semi‐structured interviews were conducted to capture the perceptions of local communities regarding the bear population, human‐bear interactions and conservation policies. Our findings indicated that the potential habitats of bears were strongly influenced by forest cover. We noticed improvements in bear habitat from 2000 to 2020, notwithstanding localised losses in specific areas. Most respondents attributed the increasing bear population to forest restoration and reduced human impact during this period. Notably, a significant proportion of respondents supported the conservation policies, previously participating in their formulation and implementation. Our analysis further revealed increases in the human‐bear interface and human‐bear interactions from 2000 to 2020. Remarkably, these changes did not significantly diminish local communities' endorsement of conservation policies. This resilience can be attributed to the net positive impacts of conservation policies on the livelihoods of these communities. Our study highlights the complexity and dynamic nature of human‐wildlife interactions within the social‐ecological system and provides new insights to facilitate sustainable conservation and management measures. Read the free Plain Language Summary for this article on the Journal blog.

Extrinsic and endocrine factors are important mechanisms influencing the timing of spring bird migration. Whooper swans (Cygnus cygnus), including 122 adults and subadults over one year old and 98 juveniles under one year old, were satellite tracked to obtain detailed locational data at a wintering ground from 2015 to 2020. We assessed the effects of temperature, wind, photoperiod, available food resources, and sex hormones on age-related timing of spring migration. Our results suggested that both photoperiod and temperature had the greatest impacts on the timing of spring migration of adults, subadults and juveniles when food resources and wind conditions were favourable. With increasing photoperiod and temperature, the peak sex hormone concentrations of adults and subadults occurred one month earlier than that of juveniles, which corresponded to the peak of their departure time. Our study showed the synergistic impact of photoperiod and temperature and their variation among adults, subadults and juveniles on the initiation of spring migration. Compared with juveniles, adults and subadults with spring migration experience and reproductive needs could adjust their behaviours more quickly before departure based on changes in environmental conditions.

The distribution and migration routes of the most studied swan species, mute swans (Cygnus olor), in East Asia are largely unknown because most of those studies were conducted in Europe and North America. In 2016 and from 2021 to 2022, we deployed satellite tracking devices on 22 and 10 mute swans wintering at the Ili River, Xinjiang of Western China, and summering at Ulansuhai Lake, Inner Mongolia of Eastern China, to determine their migration routes. Eight environmental factors, namely, human population density, the shortest distance to the nearest transportation route, elevation, aspect, slope, air temperature, wind speed and gross primary productivity (GPP), were used to analyse the environmental differences at the stopover sites of swan populations between Eastern and Western China. Ebinur and Ulungur Lakes in Xinjiang of Western China and Kapchagay Reservoir and Sasykkol and Alakol Lakes in Eastern Kazakhstan were the summering sites for the Western Chinese swan population; for the Eastern Chinese swan population, in addition to the Yellow River Delta being identified as a wintering site, the Hongze Lake Region of Jiangsu and Danaoban Lake of Inner Mongolia in China were also identified for the first time as wintering and summering sites, respectively. We also found that human population density and GPP were crucial determinants of stopover duration in the Eastern and Western Chinese swan populations both in spring and in autumn. Our findings provide basic data for future research on mute swans in East Asia and will contribute to conservation action plan development through current conservation status evaluations of important summering, wintering and stopover sites along the migration routes of mute swans.

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.

Habitat fragmentation poses a considerable threat to global biodiversity loss, making the study of landscape connectivity and ecological networks essential in an ever-changing environment. Of particular importance is the assessment of network dynamics, as it can provide invaluable specific insights for conservation and management strategies. This research proposes a framework to assess variations in ecological networks and identify conservation priorities. In this framework, we applied multi-methods to collect species occurrence and create resistance surfaces based on habitat suitability from the MaxEnt model. By using diverse approaches such as the least-cost model, circuit model, and centrality mapper, we identified ecological corridors between core areas and determined their centrality. Furthermore, we employed multi-level metrics to measure changes within ecological networks. Additionally, we introduced two indices to evaluate human disturbance faced by core habitats. We proposed a novel method that considers core habitats’ centrality and human disturbance to identify conservation priorities. Specifically, using the Asiatic Black Bear (Ursus thibetanus) as a case species, we examined the variations in ecological network and human disturbance across 2000–2020 in Western Yunnan, China. Our study revealed overall improvement with local losses in the availability and connectivity of black bear habitats in Western Yunnan from 2000 to 2020. However, the core habitats have been facing an escalating human disturbance. Our approach provides a framework for assessing dynamic ecological networks that can be applied to diverse species, landscapes, and scenarios. Furthermore, this approach helps guide conservation and management to promote human-wildlife coexistence in a changing environment.

Similar species may co-occur in sympatry because of the partitioning of habitat use and resources at different spatial and temporal scales. Understanding coexistence patterns of species may contribute to further uncovering the underlying coexistence mechanisms, and ultimately benefit the conservation of threatened species. In this study, camera trapping was used to investigate spatial and temporal activity patterns of sympatric giant pandas (Ailuropoda melanoleuca) and Asiatic black bears (Ursus thibetanus) in Changqing National Nature Reserve in Qinling Mountains, China. Our study obtained 281 independent detections of giant pandas and 185 of Asiatic black bears during 93,606 camera-trap days from April 2014 to October 2017. We performed occupancy modeling and temporal overlap analyses to examine the spatial-temporal relationships between pandas and bears, and results showed that: (1) giant pandas had higher detection probabilities than Asiatic black bears, while having lower occupancy probabilities; (2) Elevation positively predicted giant panda and negatively predicted Asiatic black bear occupancy, understory vegetation type negatively predicted giant panda occupancy, and distance to nearest settlement positively predicted Asiatic black bear occupancy; (3) giant pandas were more active in spring and winter, while Asiatic black bears were more active in summer, and the two species had low spatial overlap with one another throughout the year; (4) both giant pandas and Asiatic black bears showed mainly diurnal activity patterns, and had high temporal overlap with one another in spring and moderate temporal overlap with one another in autumn. Our results provide detailed information of the spatial and temporal ecology of sympatric giant pandas and Asiatic black bears in the Qinling Mountains of China, which could act as a guide to construct conservation priorities as well as design efficient management programs.

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.

Human-wildlife conflicts (HWC) are major conservation concerns that threaten both wildlife and rural livelihoods, and can vary spatially and temporally in diverse environments. A better understanding of HWC enhances mitigation strategies and promotes human-wildlife coexistence. We gathered HWC incidents from 2012 to 2021 in Longyang District, Yunnan Province, China, to assess their spatial-temporal patterns and determinants. We found that HWC were distributed unevenly, with more occurring near the protected area and away from densely populated areas. Poisson regression indicated that forests and croplands were the key factors influencing the spatial patterns of HWC for Asiatic black bear (Ursus thibetanus), but shrubs for rhesus monkey (Macaca mulatta). Furthermore, the HWC occurrences fluctuated across time, peaking in August-October. These conflicts intensified between 2012 and 2021, mainly involving wild boars (Sus scrofa) and rhesus monkeys, while HWC involving Asiatic black bears declined slightly. We suggest a multi-faceted strategy with compensation, prevention, and conservation awareness to mitigate HWC in this region.

Conflicts between humans and Asiatic black bears (Ursus thibetanus) are widespread in Asia and pose challenges to human-bear coexistence. Identifying effective mitigation measures requires a thorough understanding of human-bear conflicts (HBC). We assessed spatial-temporal patterns of HBC and their impact factors around the Baoshan Section of the Gaoligongshan Nature Reserve (GNNR) between 2012 and 2020. The results suggested that crop raiding by bears occurred most commonly, followed by beehive loss, livestock depredation, and human casualties. HBC hotspots occurred near the protected area where local people frequently encountered bears. The landscapes with lower elevation and human density were at higher risk of HBC. Furthermore, villages with more fragmented forests or less fragmented croplands were more vulnerable to HBC. The differences in agricultural structures contributed to the diverse composition of HBC between the two regions. In addition, crop raiding by bears decreased significantly, probably due to the changing landscape composition and configuration derived from human behaviors, yet livestock depredation and beehive loss increased. Our findings indicated the complex interrelationship between the environment, bears, and humans, which could guide the implementation of mitigation measures. We recommend multiple approaches based on a social-ecological system to mitigate HBC.

Abstract Background Diet analysis is essential to understanding the functional role of large bird species in food webs. Morphological analysis of regurgitated bird pellet contents is time intensive and may underestimate biodiversity. DNA metabarcoding has the ability to circumvent these issues, but has yet to be done. Methods We present a pilot study using DNA metabarcoding of MT-RNR1 and MT-CO1 markers to determine the species of origin and prey of 45 pellets collected in Qinghai and Gansu Provinces, China. Results We detected four raptor species [Eurasian Eagle Owl (Bubo bubo), Saker Falcon (Falco cherrug), Steppe Eagle (Aquila nipalensis), and Upland Buzzard (Buteo hemilasius)] and 11 unique prey species across 10 families and 4 classes. Mammals were the greatest detected prey class with Plateau Pika (Ochotona curzoniae) being the most frequent. Observed Shannon’s and Simpson’s diversity for Upland Buzzard were 1.089 and 0.479, respectively, while expected values were 1.312 ± 0.266 and 0.485 ± 0.086. For Eurasian Eagle Owl, observed values were 1.202 and 0.565, while expected values were 1.502 ± 0.340 and 0.580 ± 0.114. Interspecific dietary niche partitioning between the two species was not detected. Conclusions Our results demonstrate successful use of DNA metabarcoding for understanding diet via a novel noninvasive sample type to identify common and uncommon species. More work is needed to understand how raptor diets vary locally, and the mechanisms that enable exploitation of similar dietary resources. This approach has wide ranging applicability to other birds of prey, and demonstrates the power of using DNA metabarcoding to study species noninvasively.

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.

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.

Nature reserves in China are undergoing adjustments in functional zoning. Currently, one urgent problem is determining how to delineate core conservation zones more scientifically and rationally. This case study focused on the Houhe National Nature Reserve, Wufeng County, Hubei Province, China, and was based on the distribution data of seven species (Moschus berezovskii, Elaphodus cephalophus, Muntiacus reevesi, Naemorhedus griseus, Capricornis sumatraensis, Prionailurus bengalensis, and Ursus thibetanus), vegetation types, meteorological factors, human disturbance, terrain, and hydrological variables. Species distributions were predicted through MaxEnt modeling, and MARXAN software was used for systematic conservation planning. The results showed that (1) for the MaxEnt model simulations of one critically endangered (CR) species and six vulnerable (VU) species in Houhe National Nature Reserve, the area under curve (AUC) values of seven species were all greater than 0.8, of which the AUC of M. berezovskii was 0.961, indicating a high modeling accuracy; (2) based on the analysis of the MaxEnt model, MARXAN was used to delineate the core conservation zone of Houhe National Nature Reserve. When the boundary length modifier was set as 100 and planning units as hexagons with a boundary length of 200 m, the priority conservation areas had the fewest fragments. Thus, using these parameters for conservation planning is more reasonable; and (3) among the four proposals obtained from the MARXAN analysis that were based on different conservation targets, those with a conservation target of 80% for CR species and 60% for VU species had the largest priority conservation areas. According to the principles of maintaining ecosystem integrity and habitat connectivity of species and ensuring consistent conservation management, we propose a new functional zoning plan for Houhe National Nature Reserve. In this plan, the core conservation zone will have an area of 5947.76 ha, which will be greater than the sum of the areas of the current buffer and core zones, whereas the area of the general control zone will be 4395.64 ha.

Abstract Damage to homesteads by brown bears (Ursus arctos) has become commonplace in Asia, Europe, and the Americas. Science‐based solutions for preventing damages can contribute to the establishment of mechanisms that promote human–bear coexistence. We examined the spatial distribution patterns of house break‐ins by Tibetan brown bears (U. a. pruinosus) in Zhiduo County of the Sanjiangyuan region in China. Occurrence points of bear damage were collected from field surveys completed from 2017 to 2019. The maximum entropy (MaxEnt) model was then used to assess house break‐in risk. Circuit theory modeling was used to simulate risk diffusion paths based on the risk map generated from our MaxEnt model. The results showed that (a) the total risk area of house break‐ins caused by brown bears was 11,577.91 km2, accounting for 29.85% of Zhiduo County, with most of the risk areas were distributed in Sanjiangyuan National Park, accounting for 58.31% of the total risk area; (b) regions of alpine meadow located in Sanjiangyuan National Park with a high human population density were associated with higher risk; (c) risk diffusion paths extended southeast to northwest, connecting the inside of Sanjiangyuan National Park to its outside border; and (d) eastern Suojia, southern Zhahe, eastern Duocai, and southern Jiajiboluo had more risk diffusion paths than other areas examined, indicating higher risk for brown bear break‐ins in these areas. Risk diffusion paths will need strong conservation management to facilitate migration and gene flow of brown bears and to alleviate bear damage, and implementation of compensation schemes may be necessary in risk areas to offset financial burdens. Our analytical methods can be applied to conflict reduction efforts and wildlife conservation planning across the Qinghai–Tibet Plateau.

Abstract Climate change has direct impacts on wildlife and future biodiversity protection efforts. Vulnerability assessment and habitat connectivity analyses are necessary for drafting effective conservation strategies for threatened species such as the Tibetan brown bear (Ursus arctos pruinosus). We used the maximum entropy (MaxEnt) model to assess the current (1950–2000) and future (2041–2060) habitat suitability by combining bioclimatic and environmental variables, and identified potential climate refugia for Tibetan brown bears in Sanjiangyuan National Park, China. Next, we selected Circuit model to simulate potential migration paths based on current and future climatically suitable habitat. Results indicate a total area of potential suitable habitat under the current climate scenario of approximately 31,649.46 km2, of which 28,778.29 km2 would be unsuitable by the 2050s. Potentially suitable habitat under the future climate scenario was projected to cover an area of 23,738.6 km2. Climate refugia occupied 2,871.17 km2, primarily in the midwestern and northeastern regions of Yangtze River Zone, as well as the northern region of Yellow River Zone. The altitude of climate refugia ranged from 4,307 to 5,524 m, with 52.93% lying at altitudes between 4,300 and 4,600 m. Refugia were mainly distributed on bare rock, alpine steppe, and alpine meadow. Corridors linking areas of potentially suitable brown bear habitat and a substantial portion of paths with low‐resistance value were distributed in climate refugia. We recommend various actions to ameliorate the impact of climate change on brown bears, such as protecting climatically suitable habitat, establishing habitat corridors, restructuring conservation areas, and strengthening monitoring efforts.

Dramatic increases in populations of wild ungulates have brought a new ecological issue in the Qinling mountains. Information on species’ niche differentiation will contribute to a greater understanding of the mechanisms of coexistence, so as to ultimately benefit the conservation and management of ecological communities. In this study, camera trapping was used to investigate spatial and temporal activity patterns of sympatric wild ungulates in the Qinling Mountains of China, where top predators were virtually absent. We obtained 15,584 independent detections of seven wild ungulate species during 93,606 camera-trap days from April 2014 to October 2017. Results showed that (i) the capture rate differed significantly across species, with the capture rate of reeve muntjac being significantly higher than that of other species; (ii) the wild boar had a higher occupancy rates (ψ = 0.888) than other six ungulates, and distance to settlements had a negative relationship with wild boar (β = −0.24 ± 0.17); (iii) the forest musk deer and mainland serow had low spatial overlaps with other five wild ungulates, while spatial overlap indices of any two given pairs of wild ungulates were relatively high; (iv) all wild ungulates species (expect wild boar) were mainly active during crepuscular and diurnal periods, and showed bimodal activity peaks at around 05:00–07:00 and 17:00–19:00; and finally, (v) all wild ungulates showed moderate to high temporal overlaps. The results provided detailed information of the spatial and temporal ecology of wild ungulate communities in forest ecosystems of China, which also would be a guide to establish conservation priorities as well as efficient management programs.

Studying the spatial and temporal interactions between sympatric animal species is essential for understanding the mechanisms of interspecific coexistence. Both Asiatic black bears (Ursus thibetanus) and brown bears (Ursus arctos) inhabit northeastern China, but their spatial–temporal patterns and the mechanism of coexistence were unclear until now. Camera traps were set in Heilongjiang Taipinggou National Nature Reserve (TPGNR) from January 2017 to December 2017 to collect photos of the two sympatric bear species. The Pianka index, kernel density estimation, and the coefficient of overlap were used to analyze the spatial and temporal patterns of the two sympatric species. Our findings indicated that the spatial overlap between Asiatic black bears and brown bears was low, as Asiatic black bears occupied higher elevations than brown bears. The two species’ temporal activity patterns were similar at sites where only one species existed, yet they were different at the co–occurrence sites. Asiatic black bears and brown bears are competitors in this area, but they can coexist by changing their daily activity patterns. Compared to brown bears, Asiatic black bears behaved more diurnally. Our study revealed distinct spatial and temporal differentiation within the two species in TPGNR, which can reduce interspecific competition and facilitate coexistence between them.

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.

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.

Cornus elliptica is a species of the Cornus, an evergreen tree endemic to China. Here, we report a complete chloroplast genome sequence of C. elliptica. The chloroplast genome was found to be 157,400bp in length, and G-C contents were 38.1%. The sequence contained 115 unique genes, including 31 tRNA, 4 rRNA, and 80 protein-coding genes. Phylogenetic framework of Cornus is consistent with previous studies.

Abstract Evergreen broad‐leaved (EBF) and deciduous broad‐leaved (DBF) forests are two important vegetation types in terrestrial ecosystems that play key roles in sustainable biodiversity and global carbon (C) cycling. However, little is known about their associated soil fungal community and the potential metabolic activities involved in biogeochemical processes. In this study, soil samples were collected from EBF and DBF in Shennongjia Mountain, China, and soil fungal community structure and functional gene diversity analyzed based on combined Illumina MiSeq sequencing with GeoChip technologies. The results showed that soil fungal species richness (p = 0.079) and fungal functional gene diversity (p

[This corrects the article DOI: 10.1371/journal.pone.0176823.].

Taxus chinensis is a rare and endangered shrub, highly sensitive to temperature changes and widely known for its potential in cancer treatment. How gene expression of T. chinensis responds to low temperature is still unknown. To investigate cold response of the genus Taxus, we obtained the transcriptome profiles of T. chinensis grown under normal and low temperature (cold stress, 0°C) conditions using Illumina Miseq sequencing. A transcriptome including 83,963 transcripts and 62,654 genes were assembled from 4.16 Gb of reads data. Comparative transcriptomic analysis identified 2,025 differently expressed (DE) isoforms at p < 0.05, of which 1,437 were up-regulated by cold stress and 588 were down-regulated. Annotation of DE isoforms indicated that transcription factors (TFs) in the MAPK signaling pathway and TF families of NAC, WRKY, bZIP, MYB, and ERF were transcriptionally activated. This might have been caused by the accumulation of secondary messengers, such as reactive oxygen species (ROS) and Ca2+. While accumulation of ROS will have caused damages to cells, our results indicated that to adapt to low temperatures T. chinensis employed a series of mechanisms to minimize these damages. The mechanisms included: (i) cold-enhanced expression of ROS deoxidant systems, such as peroxidase and phospholipid hydroperoxide glutathione peroxidase, to remove ROS. This was further confirmed by analyses showing increased activity of POD, SOD, and CAT under cold stress. (ii) Activation of starch and sucrose metabolism, thiamine metabolism, and purine metabolism by cold-stress to produce metabolites which either protect cell organelles or lower the ROS content in cells. These processes are regulated by ROS signaling, as the “feedback” toward ROS accumulation.

Psoriasis is a chronic and persistent inflammatory skin disease seriously affecting the quality of human life. In this study, we reported an ancient formula of Chinese folk medicine, the natural plant antimicrobial solution (PAMs) for its anti-inflammatory effects and proposed the primary mechanisms on inhibiting the inflammatory response in TNF-α/IFN-γ-induced HaCaT cells and imiquimod-induced psoriasis-like skin disease mouse model. Two main functional components of hydroxysafflor Yellow A and allantoin in PAMs were quantified by HPLC to be 94.2±2.2 and 262.9±12.5 μg/mL respectively. PAMs could significantly reduce the gene expression and inflammatory cytokines production of Macrophage-Derived Chemokine (MDC), IL-8 and IL-6 in TNF-α/IFN-γ-induced HaCaT cells. PAMs also significantly ameliorates the psoriatic-like symptoms in a mouse model with the evaluation scores for both the single (scales, thickness, erythema) and cumulative features were in the order of blank control < Dexamethasone < PAMs < 50% ethanol < model groups. The results were further confirmed by hematoxylin-eosin staining, RT-qPCR and immunohistochemistry. The down-regulated gene expression of IL-8, TNF-α, ICAM-1 and IL-23 in mouse tissues was consistent with the results from those of the HaCaT cells. The inhibition of psoriasis-like skin inflammation by PAMs was correlated with the inactivation of the translocation of P65 protein into cellular nucleus, indicating the inhibition of the inflammatory NF-κB signaling pathway. Taken together, these findings suggest that PAMs may be a promising drug candidate for the treatment of inflammatory skin disorders, such as psoriasis.

To examine soil microbial functional gene diversity and causative factors in tropical rainforests, we used a microarray-based metagenomic tool named GeoChip 5.0 to profile it. We found that high microbial functional gene diversity and different soil microbial metabolic potential for biogeochemical processes were considered to exist in tropical rainforest. Soil available nitrogen was the most associated with soil microbial functional gene structure. Here, we mainly describe the experiment design, the data processing, and soil biogeochemical analyses attached to the study in details, which could be published on BMC microbiology Journal in 2015, whose raw data have been deposited in NCBI's Gene Expression Omnibus (accession number GSE69171).

By addressing several key features overlooked in previous studies, i.e. human disturbance, integration of ecosystem- and species-level conservation features, and principles of complementarity and representativeness, we present the first national-scale systematic conservation planning for China to determine the optimized spatial priorities for biodiversity conservation. We compiled a spatial database on the distributions of ecosystem- and species-level conservation features, and modeled a human disturbance index (HDI) by aggregating information using several socioeconomic proxies. We ran Marxan with two scenarios (HDI-ignored and HDI-considered) to investigate the effects of human disturbance, and explored the geographic patterns of the optimized spatial conservation priorities. Compared to when HDI was ignored, the HDI-considered scenario resulted in (1) a marked reduction (∼9%) in the total HDI score and a slight increase (∼7%) in the total area of the portfolio of priority units, (2) a significant increase (∼43%) in the total irreplaceable area and (3) more irreplaceable units being identified in almost all environmental zones and highly-disturbed provinces. Thus the inclusion of human disturbance is essential for cost-effective priority-setting. Attention should be targeted to the areas that are characterized as moderately-disturbed,

Soil microbial metabolic potential and ecosystem function have received little attention owing to difficulties in methodology. In this study, we selected natural mature forest and natural secondary forest and analyzed the soil microbial community and metabolic potential combing the high-throughput sequencing and GeoChip technologies. Phylogenetic analysis based on 16S rRNA sequencing showed that one known archaeal phylum and 15 known bacterial phyla as well as unclassified phylotypes were presented in these forest soils, and Acidobacteria, Protecobacteria, and Actinobacteria were three of most abundant phyla. The detected microbial functional gene groups were related to different biogeochemical processes, including carbon degradation, carbon fixation, methane metabolism, nitrogen cycling, phosphorus utilization, sulfur cycling, etc. The Shannon index for detected functional gene probes was significantly higher (P