The carrying pressure of livestock is higher than that of large wild herbivores in Yellow River source area, China

Using the Yellow-River-Source National Park (YRSNP) as a study site, an unmanned aerial vehicle (UAV) remote sensing and line transect method was used to investigate the number of wild herbivorous animals and livestock, including the kiang (Equus kiang) and Tibetan gazelle (Procapra picticaudata). A downscaling algorithm was used to generate the forage yield data in YRSNP based on a 30-m spatial resolution. On this basis, we estimated the forage–livestock balance, which included both wild animals and livestock, and analyzed the effects of functional zone planning in national parks on the forage–livestock balance in YRSNP. The results showed that the estimates of large herbivore population numbers in YRSNP based on population density in the aerial sample strips, which were compared and validated with official statistics and warm season survey results, indicated that the numbers of kiangs and Tibetan gazelles in the 2017 cold season were 12,900 and 12,100, respectively. The numbers of domestic yaks, Tibetan sheep, and horses were 53,400, 76,800, and 800, respectively, and the total number of sheep units was 353,200. The ratio of large wild herbivores and livestock sheep units was 1:5. Large wild herbivores have different preferences for functional zones, preferring ecological restoration areas consisting mainly of sparse grassland. The grazing pressure indices of the core reserve areas and ecological restoration areas were 0.168 and 0.276, respectively, indicating that these two regions still have high grazing potential. However, the grazing pressure index of the traditional utilization areas was 1.754, indicating that these grasslands are severely overloaded. After the planning and implementation of functional zones, the grazing pressure index of YRSNP was 1.967. Under this measure, the number of livestock was not reduced and the grazing pressure nearly doubled, indicating that forage–livestock conflict has become more severe in YRSNP.

We used unmanned aerial vehicles (UAVs) to carry out a relatively complete population census of large wild herbivores in Maduo County on the Tibetan Plateau in the spring of 2017. The effective area covered by aerial surveys was 326.6 km2, and 23,784 images were acquired. Interpretation tag libraries for UAV images were created for wild animals, including Kiang (Equus kiang), Tibetan gazelle (Procapra picticaudata), and blue sheep (Pseudois nayaur), as well as livestock, including yaks and Tibetan sheep. Large wild herbivores in the survey transect were identified through manual imagery interpretation. Densities ranged from 1.15/km2 for Kiang, 0.61/km2 for Tibetan gazelle, 0.62/km2 for blue sheep, 4.12/km2 for domestic yak, and 7.34/km2 for domestic sheep. A method based on meadows in the cold and warm seasons was used for estimating the densities and numbers of large wild herbivores and livestock, and was verified against records of livestock numbers. Population estimates for Kiang, Tibetan gazelle, blue sheep, domestic yak, and domestic sheep were 17,109, 15,961, 9324, 70,846, and 102,194, respectively. Based on published consumption estimates, the results suggest that domestic stock consume 4.5 times the amount of vegetation of large wild herbivores. Compared with traditional ground survey methods, performance of UAV remote sensing surveys of large wild herbivore populations was fast, economical and reliable, providing an effective future method for surveying wild animals.

The wild large herbivores inhabiting the Yellow-River-Source National Park (YRSNP) are confronted with a significant threat from climate change and human activities. In response to these detrimental influences, measures have been proposed by the government, such as the Ecological Conservation and Restoration Project in the Sanjiangyuan Region (ECRPSR) and the establishment of the Sanjiangyuan National Park (SNP). To advance species diversity, it is crucial to investigate the spatial distribution of large herbivores, identify factors influencing their distribution, and address conflicts arising from divergent plans within the YRSNP. In this study, unmanned aerial vehicles were employed for surveying the distribution of the Tibetan wild ass (Equus kiang) and Tibetan gazelle (Procapra picticaudata). The findings indicate that the optimal habitat area for Tibetan wild ass is 437.16 km2, while for Tibetan gazelle, it is 776.46 km2. Precipitation and the human footprint index emerge as the primary factors influencing the habitat distribution of large herbivores within the YRSNP. Under the influence of the ECRPSR, there was a noteworthy expansion of the habitat area for Tibetan wild ass by 791.25 km2, and for Tibetan gazelle, it expanded by 1612.94 km2. From a wildlife conservation standpoint, this study proposes the establishment of a wildlife refuge in the YRSNP, effective coordination of conflicts between various functional zones and plans, preservation of suitable habitats for large herbivores, and the provision of a scientific foundation to reconcile development and conservation conflicts in the region, while concurrently fostering biodiversity conservation.

The Tibetan gazelle (Procapra picticaudata) is a threatened ungulate of the Qinghai-Tibet Plateau of China, with a rapidly decreasing number of wild populations. Evaluating their habitat is a key step toward the development of animal population management and conservation plans. Moreover, the Sanjiangyuan National Park (SNP), which is China's first national park, is vital for the protection of the wild Tibetan gazelle with respect to both phylogenetic resources and conservation efforts. However, the specific distribution, quantity, and living status of the Tibetan gazelle still lacks scientific and accurate data. This study used the line transect method to conduct terrestrial wildlife surveys in the SNP and recorded 674 occurrences for the Tibetan gazelle from 2016 to 2017. We utilized the maximum entropy (MaxEnt) model and habitat suitability index (HSI) model, combined with principal component analysis (PCA), to evaluate the relationship between habitat selection of the Tibetan gazelle and environmental variables, and to predict priority conservation areas for the Tibetan gazelle in the SNP were predicted. Eight environmental variables were selected for both MaxEnt and HSI models. MaxEnt indicated that altitude, mean diurnal temperature range, mean temperature of the coldest quarter, and isothermality were the four most important variables associated with the distribution of the Tibetan gazelle (contributing a total of 86.2%). Both models indicated that the priority conservation areas of the Tibetan gazelle in the SNP were about 86,308.25–90,267.34 km2, which accounts for 70.11–73.33% of the SNP. This mainly included most of the Yellow River Park, the central and southwestern part of the Mekong River Park, and the eastern part of the Yangtze River Park. The Yangtze River Park had the largest total priority conservation area, while the Yellow River Park had the highest proportion of priority conservation areas. These results aid the protection of the Tibetan gazelle and other threatened wildlife distributed in the same area, and also provide theoretical support for the selection of potential habitats for the Tibetan gazelle in the SNP.

Sanjiangyuan National Park (SNP), the first national park established in China, plays a pivotal role in conserving biodiversity on the Qinghai-Tibet Plateau. This study investigates the habitat suitability and projected future distribution of four key species: the Tibetan antelope (Pantholops hodgsonii), kiang (Equus kiang), Tibetan gazelle (Procapra picticaudata), and wild yak (Bos mutus). Utilizing 358 occurrence records and the MaxEnt model, we predicted current and future suitable habitats under different climate scenarios for the years 2050 and 2070. Our findings indicate that suitable habitats are significantly influenced by factors such as elevation, temperature, and vegetation health. Among the species studied, the Tibetan gazelle exhibits the most extensive suitable habitat, followed by the kiang, Tibetan antelope, and wild yak. Specifically, the Tibetan antelope’s habitat is anticipated to shift northward, while the kiang and wild yak may experience further habitat fragmentation, thereby increasing risks to their populations. Additionally, the results highlight the importance of integrating climate considerations into future conservation planning to ensure the long-term survival of these species. By identifying regions with optimal environmental conditions, conservation strategies can be more effectively directed to maintain and improve these habitats, thereby preserving biodiversity within the Sanjiangyuan region.Supplementary InformationThe online version contains supplementary material available at 10.1038/s41598-025-23536-4.

Unmanned aerial vehicle surveys were conducted in the summer season of 2016 and the winter season of 2017 to investigate the large wild herbivore population, including kiangs, Tibetan gazelles and bharals, in Madoi County; the source region of the Yellow River. The study generated forage grass production data in 30 m spatial resolution in Madoi County in 2016 using a downscaling algorithm; estimated a forage-livestock balance including wild animals and domestic animals; and analyzed the effect of the large wild herbivore population on the balance between forage grass and herbivory in Madoi County. The large wild herbivore population was estimated based on the density of the animals in the survey sample strip and compared and verified with available statistical data and the two survey results from the summer season of 2016 and winter season of 2017. The results showed that: (1) in the winter season of 2017, the populations of kiang, Tibetan gazelle and bharal were 17,100, 16,000 and 9300, respectively, while the populations of domestic yak, Tibetan sheep and horse were 70,800, 102,200 and 1200, respectively. The total population of large wild herbivores and domestic animals was 475,000 (sheep units). The ratio (in sheep units) between large wild herbivores and domestic animals was 1:4.5; (2) When only considering domestic animals, the grazing pressure index was 1.13, indicating slight overloading of the grassland. When considering domestic animals and large wild herbivores (kiang, Tibetan gazelle and bharal), the grazing pressure index was 1.38, suggesting moderate overloading of the grassland; (3) If large wild herbivores are not taken into consideration when the forage-livestock balance is calculated, the grazing pressure will be under-estimated by 22%. Overgrazing is the major cause of grassland degradation in Madoi County. An additional 79,000 tons of hay or a 30% reduction in domestic animals is required to maintain a forage-livestock balance in Madoi County.

Grazing pressure index considering both wildlife and livestock in Three-River Headwaters, Qinghai-Tibetan Plateau

Wild large herbivores are declining worldwide. Despite extensive use of exclosure experiments to investigate herbivore impacts, there is little consensus on the effects of wild large herbivores on ecosystem function.Of the ecosystem functions likely impacted, we reviewed the five most‐studied in exclosure experiments: ecosystem resilience/resistance to disturbance, nutrient cycling, carbon cycling, plant regeneration, and primary productivity.Experimental data on large wild herbivores' effects on ecosystem functions were predominately derived from temperate grasslands (50% grasslands, 75% temperate zones). Additionally, data were from experiments that may not be of adequate size (median size 400 m2despite excluding all experiments below 25 m2) or duration (median duration 6 years) to capture ecosystem‐scale responses to these low‐density and wide‐ranging taxa.Wild herbivore removal frequently impacted ecosystem functions; for example, net carbon uptake increased by three times in some instances. However, the magnitude and direction of effects, even within a single function, were highly variable.A focus on carbon cycling highlighted challenges in interpreting effects on a single function. While the effect of large herbivore exclusion on carbon cycling was slightly positive when its components (e.g. pools vs. fluxes of carbon) were aggregated, effects on individual components were variable and sometimes opposed.Given modern declines in large wild herbivores, it is critical to understand their effects on ecosystem function. However, this synthesis highlights strong variability in direction, magnitude, and modifiers of these effects. Some variation is likely due to disparity in what components are used to describe a given function. For example, for the carbon cycle we identified eight distinctly meaningful components, which are not easily combined yet are potentially misrepresentative of the larger cycle when considered alone. However, much of the observed difference in responses likely reflects real ecological variability across complex systems.To move towards a general predictive framework we must identify where variation in effect is due to methodological differences and where due to ecosystem context. Two critical steps forward are (a) additional quantitative synthetic analyses of large herbivores' effects on individual functions, and (b) improved, increased systematic exclosure research focusing on effects of large herbivores' exclusion on functions.A freePlain Language Summarycan be found within the Supporting Information of this article.

The targets of China’s national park construction are to protect the authenticity and integrity of the ecosystems, and to achieve the harmonious development between humans and nature. Because of the high intensity of human activities, the authenticity of ecosystems has deviated over the past few decades. It is time to rewild the wildlife and restore the authenticity of these ecosystems. The status of rewilding wildlife in Sanjiangyuan National Park, indicating that the wildlife population, diversity and wildness have increased within the National Park. The wildlife population in the national park has been restored, with about 60,000 Tibetan antelope, 60,000 Tibetan gazelle, 36,000 Tibetan wild ass, 10,000 wild yak, and 10,000 white-lipped deer up to 2017. However, overgrazing existed on the alpine grassland with population increasing both of ungulates and livestock.

Understanding the change in the habitat distributions and abundance of wildlife in space and time is critical for the conservation of biodiversity and mitigate human–wildlife conflicts (HWCs). Tibetan antelope or chiru (Pantholops hodgsonii), Tibetan gazelle or goa (Procapra picticaudata), Tibetan wild ass or kiang (Equus kiang), and Wild yak (Bos mutus) have been sympatric on the Qinghai–Tibetan plateau (QTP) for numerous generations. However, reviews on the habitat distributions and abundance of these four wild herbivores (WHs), as well as the methods examining the changes in these aspects, are still lacking. Here, we firstly review the distributions and abundance of four major WHs on the QTP across different periods, examining the underlying causes of changes and HWCs. Furthermore, we critically compare three aspects of methods: transect surveys, machine learning (ML), and deep learning (DL) methods of studying WHs. The results show that since the 1990s, the distributions and abundance of WHs have exhibited a trend of initial decline followed by recovery, largely attributed to global climate warming and a decrease in illegal hunting. However, in recent years, the primary challenge has shifted from wildlife protection to balancing the human and wildlife interests within the constraints of limited resources. In the future, we should focus on enhancing the ecological functions of habitats to achieve harmonious coexistence between humans and nature, as well as establishing a scientific compensation mechanism to mitigate human–wildlife conflicts. In order to accurately calculate the changes, we should select appropriate models to analyze the habitats of wildlife based on their specific characteristics and the environmental conditions. Additionally, with the advancement of large models, AI (artificial intelligence) should be utilized for precise and rapid wildlife conservation. The findings of this study also provide guidance and reference for addressing the issues related to wildlife habitats and abundance in other regions globally.

The perpetuation of tree populations is dependent on successful seedling establishment, which is in turn controlled by biotic and climatic factors. California’s endemic oak species face limited recruitment and shrinking ranges due to anthropogenic climate change and land use, both of which can negatively impact germination and seedling survival. In this study, we investigated Quercus seed germination and seedling establishment under three large herbivore regimes (no large herbivores, wild herbivores, and both wild herbivores and cattle) across three sites representing present, near-future, and far-future projections for climate in California’s montane oak woodlands. Seed germination and living seedling abundance were highest in the intermediate and mesic climate levels, where total exclosures resulted in the best outcomes for seedlings. In contrast, in the arid level, the best large herbivore regime for establishment consisted of wild herbivores and no cattle. Seedling mortality was highest in the most arid climate level, and within that level, mortality was reduced by over 25% in both the wildlife and wildlife plus cattle treatments compared to the total exclosures. Our results suggest that increasing aridity will limit oak establishment and modulate the impact of large herbivores on oak seedlings, with wild large herbivores becoming a beneficial factor for seedling abundance, and both wild herbivores and cattle reducing mortality. Dynamic and contextually informed management of large herbivore populations and other restoration actions will be necessary to ensure the sustainability of California’s oak populations.

Large wild herbivores are important and natural components of forest ecosystems, but through their browsing activities have the potential to influence the structure and composition of forest communities, thus timber production and ecosystem dynamics. To examine the effects of browsing by wild herbivores on a young post-disturbance forest in the Kysuce region of northwestern Slovakia, we established two sets of 2 m radius plots, 15 within a fenced area (5.12 ha) that excluded large wild herbivores, and 15 within an adjacent unfenced area. In each plot, we recorded the species, tree height, stem base diameter, and mutual geographic positions of trees. When we compared tree community characteristics between the unfenced and fenced plots, we found fewer and smaller broadleaved tree species, except silver birch (Betula pendula Roth.) in the unfenced plots. Although common rowan (Sorbus aucuparia L.) was the dominant species within fenced plots, where some individuals were over 6.0 m tall, this species was rare outside the fenced area and usually did not exceed 1.5 m. In contrast, Norway spruce (Picea abies Karts L.) was more abundant and taller within the unfenced area, likely released from competition by suppression of broadleaved trees by herbivores. In addition, fenced plots also showed twice the tree species richness (Shannon index) of unfenced ones. Despite changes in tree communities, total aboveground biomass stock was only slightly but significantly lower in the unfenced than the fenced plots (29.6 kg per 10 m2 vs. 33.5 kg per 10 m2). Our study suggested that browsing pressure by large wild herbivores that focused on most broadleaved trees weakened interspecies competition and allowed the expansion of Norway spruce. As a consequence, converting spruce monocultures to mixed species stands is likely unrealistic when faced with heavy browsing pressure by wild large herbivores.

There is an urgent need of understanding the distribution and abundance of the key species, Tibetan wild ass ( Equus kiang ), Tibetan gazelle ( Procapra picticaudata ) and Tibetan antelope ( Pantholops hodgsonii ) in the Three-River-Source National Park, especially after the first national park in China established there. We carried out field surveys in summers from 2014 to 2017 following the distance sampling protocol in the park, covering an area of 538000 km2. The total length of the survey routes is 14597.8 km. We recorded 3711 individuals of Tibetan wild ass, 1187 individuals of Tibetan gazelles, and 423 individuals of Tibetan antelopes. In order to accurately estimate the species abundance, we used species distribution models to quantify the relationship between species accurrences and 22 environmental variables, and predicted the population density in the whole study area. We compared the model prediction and field survey results, and made adjustment accordingly. The estimated abundance of Tibetan wild ass, Tibetan gazelle and Tibetan antelope in the study area is 44240, 13162, and 2390, respectively. To evaluate the potential bias of the estimation, we took into account of survey uncertainties, model uncertainties, and adjustment uncertainties using the detaction function based on distance sampling, R 2 of species distribution models, and spatial heterogeneity of model-observation matchness. Our new method for estimating species abundance is suitable for species whose distribution is well correlated with environmental varibles, and the results of distance sampling are available.

Why do Tibetan pastoralists hunt?

ABSTRACTUnderstanding the mechanisms of competition and coexistence among sympatric species is crucial for deepening our understanding of interspecific interactions and informing the conservation of rare and endangered wildlife. In this study, we utilized DNA macro‐barcoding technology to analyze the seasonal dietary habits of Kiang (Equus kiang) and Tibetan Gazelle (Procapra picticaudata) in Shiqu County, Sichuan Province, aiming to investigate their resource partitioning strategies and potential competition for limited forage resources. The results showed that Kiang mainly consumed Cyperaceae and Polygonaceae in both seasons, while Tibetan Gazelle fed on Polygonaceae and Rosaceae in the warm season and shifted to Ephedraceae in the cold season. Both species exhibited significant seasonal differences in dietary composition, with Tibetan Gazelle showing greater individual variation and seasonal shifts. In addition, their dietary niche was broader in the warm season, and overlap remained high, with indices of 0.89 and 0.87 in the warm and cold seasons, respectively. The results indicate that although Kiang and Tibetan Gazelle exhibit partial dietary overlap, they mitigate interspecific competition and achieve sympatric coexistence through differential use of dominant forage species, adjustments in dietary proportions, and individual dietary flexibility; notably, Tibetan gazelles exhibit stronger ecological adaptability. This study highlights a competition–coexistence dynamic along the trophic niche axis in typical plateau ungulates, providing insights for effective conservation strategies and biodiversity conservation in plateau regions.