Wenke Bai

Dr. Wenke Bai

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 October 2019 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
XDXin Dong
Xin Dong
YCYuan-Meng-Ran Chu
Yuan-Meng-Ran Chu
XGXiaodong Gu
Xiaodong Gu
QHQiongyu Huang
Qiongyu Huang
JZJindong Zhang
Jindong Zhang
WBWenke Bai
Wenke Bai

20 September 2021 in Conservation Biology
Verified
Journal Article
Closed access
PDF file
Thomas ConnorThomas Connor
Thomas Connor
MQMaiju Qiao
Maiju Qiao
KSKim Scribner
Kim Scribner
JZJindong Zhang
Jindong Zhang
VHVanessa Hull
Vanessa Hull
JLJianguo Liu
Jianguo Liu

30 May 2024 in Global Ecology and Conservation
Verified
Journal Article
Open access
LHLu Hu
Lu Hu
BFBin Feng
Bin Feng
Jindong ZhangJindong Zhang
Jindong Zhang
XDXin Dong
Xin Dong
JTJunfeng Tang
Junfeng Tang
WBWenke Bai
Wenke Bai

16 March 2025 in Ecology and Evolution
Verified
Journal Article
Open access
BFBin Feng
Bin Feng
JZJianwei Zhou
Jianwei Zhou
LHLu Hu
Lu Hu
ZLZherong Liu
Zherong Liu
YYYi Yang
Yi Yang
SZShanshan Zhao
Shanshan Zhao
Shiqu County, China, represents a vital component of alpine ecosystems on the eastern Qinghai‐Tibet Plateau, playing a pivotal role in regional ecological functions. However, amid the backdrop of climate change and rapid land‐use transformation, its delicate alpine ecosystems remain persistently threatened by human activities, including several nature reserves and a Ramsar site within it. This paper analyzes the temporal and spatial evolution and differentiation of Ecosystem Service Value (ESV) in Shiqu County (1980–2020), focusing on its driving factors. The research findings reveal that: (1) From 1980 to 2020, Shiqu County experienced a general trend of diminishing unused land, grassland, and cultivated land, alongside an expansion of forested land, water areas, and construction land. (2) Throughout the study duration, the ESV of Shiqu County exhibited a growth trajectory, escalating from 26.180 billion CNY in 1980 to 26.848 billion CNY in 2020, representing a net increase of 2.55%. Grasslands played the most substantial role in contributing to Shiqu's ESV. (3) From 1980 to 2020, all ecosystem service functions exhibited ESV growth, with hydrological regulation and water supply notably increasing by 9.07% and 8.81%, respectively. (4) Land‐use distribution demonstrates significant vertical zonation along gradients of altitude, slope, aspect, and terrain ruggedness, resulting in pronounced vertical variations in ESV, per unit area ESV, and ESV across various ecosystem service functions. (5) The spatial differentiation of ESV in Shiqu County is influenced by both natural and economic factors, with natural factors exerting a more substantial influence on spatial disparities than economic factors. The research provides insights to guide policymakers in prioritizing conservation efforts in fragile alpine ecosystems and optimizing land‐use strategies to achieve sustainable development goals, offering a transferable framework for similar regions globally.

21 April 2023 in Ecology and Evolution
Verified
Journal Article
Open access
BFBin Feng
Bin Feng
WBWenke Bai
Wenke Bai
XFXueyang Fan
Xueyang Fan
MFMingxia Fu
Mingxia Fu
XSXinqiang Song
Xinqiang Song
RHRong Hou
Rong Hou
The giant panda (Ailuropoda melanoleuca) and the Chinese red panda (Ailurus styani) are distributed in the same region in the mountain forest ecosystem on the eastern edge of the Qinghai Tibet Plateau and share the same food sources. In order to understand how sympatric giant pandas and Chinese red pandas maintain interspecific relationships to achieve stable coexistence, we used species distribution models and diurnal activity rhythms to analyze the spatial and temporal niche characteristics of giant pandas and Chinese red pandas in the Daxiangling Mountain system based on 187 camera traps data. The results show that: (1) In the Daxiangling Mountains, the total area of suitable habitats for giant pandas and Chinese red pandas is 717.61 km2 and 730.00 km2, respectively, accounting for 17.78% and 18.25%, respectively, of the study area. (2) The top five environmental factors contributing to the model of giant panda and Chinese red panda are precipitation seasonality, temperature seasonality, distance to the road, and elevation and vegetation type. (3) The total overlapping area of suitable habitats for giant pandas and Chinese red pandas is 342.23 km2, of which the overlapping area of highly suitable habitats is 98.91 km2. The overlapping index of suitable habitats is 0.472, and the overlapping index of highly suitable habitats is 0.348, which indicates that the two achieve spatial niches are separated to achieve stable coexistence. (4) The overlapping index of the daily activity rhythm of giant panda and Chinese red panda is 0.87, which is significantly different (p < .05). The existence of Chinese red panda will significantly affect the daily activity rhythm of giant panda (p < .001). This research can provide scientific reference for the researches about population and habitat protection of giant pandas and Chinese red pandas, so as to understand the driving mechanism of resource allocation and population dynamics of sympatric species.

20 January 2023 in Frontiers in Conservation Science
Verified
Journal Article
Open access
PWPan Wang
Pan Wang
BFBin Feng
Bin Feng
LZLi Zhang
Li Zhang
XFXueyang Fan
Xueyang Fan
ZTZhuo Tang
Zhuo Tang
WBWenke Bai
Wenke Bai
Habitat suitability assessment is the basis for wildlife conservation management and habitat restoration. It is a useful tool to understand the quality of wildlife habitat and its potential spatial distribution. In order to reveal the habitat suitability and connectivity of sambar (Rusa unicolor) to promote species and biodiversity conservation, this study collected records of sambar (Rusa unicolor) from over 2,000 camera traps in the forests of Southwest China in the past 5 years to assess the overall situation of their habitat. The results of the species distribution model revealed that the suitable habitat area for sambar in the five major mountain ranges (Minshan, Qionglai, Daxiangling, Xiaoxiangling, and Liangshan) in Southwest China is 18,231 km2, accounting for 17.02% of the total area. The most suitable habitat of sambar is primarily distributed in Qionglai, as well as the intersection areas of Daxiangling, Xiaoxiangling, and Minshan. The temperature annual range, temperature seasonality, elevation, and distance to road were important factors affecting the distribution of suitable habitat for sambar. Analysis of landscape pattern shows that there were 273 habitat patches, with a maximum patch area of 9,983 km2, accounting for 54.8% of the total suitable habitat area. However, the segmentation index and separation index of each habitat patch were 0.99 and 106.58, respectively, indicating a relatively high habitat fragmentation in the study area. The results of habitat connectivity analysis showed that the Qionglai mountains have the largest suitable habitat area and the highest connectivity among habitat patches. However, habitat connectivity between the five mountains is very low, suggesting that gene flow among these mountain ranges is probably limited. We therefore recommend strengthening protection of sambar and their habitat, with special attention to the establishment of corridors between the different mountain populations.