Yankuo Li

Prof. Yankuo Li


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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13 August 2012 in Zoological Research
Verified
Journal Article
Closed access
JSJi-Hong Shan
Ji-Hong Shan
JMJian-Zhang Ma
Jian-Zhang Ma
YLYankuo Li
Yankuo Li
FQFa-Wen Qian
Fa-Wen Qian
XTXiao-Bin Tu
Xiao-Bin Tu
Using simultaneous land surveys, we monitored the population size and spatial distribution of wintering Siberian cranes at 64 lakes around Poyang Lake between 1998 and 2010. The results showed that 46 lakes were inhabited by wintering cranes, and in 25 of those, the number of wintering cranes accounted for more than 1% of the Siberian cranes' global population. The lakes where over 40.0% of the global population, e.g. 1 280 individuals, included Dachahu Lake in Jiujiang region, and Banghu Lake and Candouhu Lake in the Poyang Lake Nature Reserve. The average yearly population of the wintering Siberian crane in the Poyang lakes was 3 108±849, with the maximum of 4 004 individuals in winter 2002. On the whole, there was no drastic fluctuation, but population numbers have shown considerable fluctuation since 2003. We also found the Poyang Lake Nature Reserve was the major wintering area of the Siberian crane, with over 60% of Siberian cranes wintering in the reserve since 2002 (except in 2006). Most of the inhabited lakes are covered in existing nature reserves, though some lakes outside the reserve were also considerably used by Siberian cranes.

18 November 2016
Verified
Journal Article
Open access
ZWZhen-Hua Wei
Zhen-Hua Wei
YLYankuo Li
Yankuo Li
PXPeng Xu
Peng Xu
FQFa-Wen Qian
Fa-Wen Qian
JSJi-Hong Shan
Ji-Hong Shan
XTXiao-Bin Tu
Xiao-Bin Tu
Using total counts in simultaneous annual surveys, we monitored the population size and spatial distribution of oriental white storks (Ciconia boyciana) wintering in Poyang Lake between 1998 and 2011. Results showed that Poyang Lake wetland is an important wintering ground for oriental white storks, with an annual average population number of 2 305±326. The population sizes in 2004, 2005, 2010, and 2011 were higher than the highest-ever estimate of its global population. In 2005, we recorded 3 789 individuals, which was the maximum population number within the period of 1998–2011. The storks inhabited 52 lakes, with the greatest distance between these lakes being 180.3 km. The storks presented a clustered distribution pattern in the Poyang Lake wetland, irrespective of the number of individuals or occurrence frequencies. Shahu, Dahuchi, Banghu, and Hanchihu were most frequently used lakes and had the largest annual average numbers of storks. There was a significant positive correlation between occurrence frequency and annual average number of storks in the lakes. Most of the lakes important for storks were covered by existing nature reserves, though some lakes outside the reserves were also frequently used. About 64.9%±5.5% of the storks were found in nature reserves. In addition, the storks more frequently used and clumped in significantly larger flocks in lakes within nature reserves than lakes outside.

20 November 2024 in Frontiers in Microbiology
Verified
Journal Article
Open access
PDF file
CWChaoyang Wang
Chaoyang Wang
CZChao Zhang
Chao Zhang
HCHao Cai
Hao Cai
YZYunlong Zhu
Yunlong Zhu
JSJiwan Sun
Jiwan Sun
YLYankuo Li
Yankuo Li
Introduction: Extreme weather events driven by climate change profoundly affect migratory birds by altering their habitats, food sources, and migration routes. While gut microbiota is believed to play a role in helping birds adapt to environmental changes, research on how extreme weather impacts their gut microbiota and how these microbial communities respond to such conditions has been limited.Methods: 16S rRNA gene sequencing was utilized to investigate the gut microbiota of common cranes (Grus grus) wintering at Poyang Lake from 2020 to 2023, with a particular focus on their response to extreme drought conditions on both inter-annual and monthly timescales.Results: The results revealed that extreme drought conditions substantially impact gut microbiota, with inter-annual water-level fluctuations exerting a more pronounced impact on microbial community structure than that of inter-monthly fluctuations. Notably, a significant decline in bacterial diversity within the gut microbiota of common cranes was observed in the extreme drought year of 2022 compared with other years. Monthly observations indicated a gradual increase in gut microbial diversity, coinciding with relatively minor water-level changes. Key taxa that responded to drought included the Enterobacteriaceae family and Bifidobacterium and Lactobacillus species. Additionally, functional genes related to carbohydrate metabolism, the phosphotransferase system, and the two-component systems were significantly enriched during the extreme drought year. These functions may represent adaptive mechanisms by which the gut microbiota of common cranes respond to drought stress.Discussion: This research provides novel insights into the temporal variability of gut microbiota in wintering waterbirds, underscoring the significant impact of climatic fluctuations on microbial communities. The findings highlight the importance of understanding the ecological and functional responses of gut microbiota to extreme weather events, which is crucial for the conservation and management of migratory bird populations in the face of climate change.

18 November 2025 in Zoosystematics and Evolution
Verified
Journal Article
Open access
Deming ShenDeming Shen
Deming Shen
HZHaiying Zhou
Haiying Zhou
CWChaoyang Wang
Chaoyang Wang
JXJun Xu
Jun Xu
SXShi Xu
Shi Xu
YLYankuo Li
Yankuo Li
A new species of the genus Boulenophrys (Anura, Megophryidae), Boulenophrys nebulosa sp. nov. , is described from Mt. Lushan, Jiangxi Province, China. Phylogenetic analyses based on mitochondrial COI and 16S rRNA genes show that the new species forms a sister lineage to B. mufumontana . Morphologically, B. nebulosa sp. nov. differs from all known congeners by a unique combination of characters and from its closest relative, B. mufumontana , by the following combination of characters: (1) relative finger lengths I < II < IV < III; (2) indistinct subarticular tubercle at the base of each finger; (3) larger male body size (SVL 31.8–32.3 mm); (4) heels just meeting when hindlimbs are folded; (5) tibiotarsal articulation reaching the center of the eye when the leg is stretched forward; and (6) vomerine teeth present. This study expands the known distribution of Boulenophrys in Jiangxi and provides baseline data for biodiversity conservation efforts in Mt. Lushan.

3 June 2025 in Ecologies
Verified
Journal Article
Open access
PDF file
JZJing Zhang
Jing Zhang
YLYankuo Li
Yankuo Li
ZWZhaoyang Wang
Zhaoyang Wang
GWGuangyao Wang
Guangyao Wang
SHShizhao He
Shizhao He
CLChunlin Li
Chunlin Li
Identifying suitable habitats and quantifying the spatial overlap among sympatrically distributed ungulates is essential for safeguarding their long-term survival. We deployed infrared cameras to capture the distribution sites of sika deer (Cervus nippon), Reeve’s muntjac (Muntiacus reevesi), and wild boar (Sus scrofa) in the Taohongling Sika Deer National Nature Reserve (TNNR) and measured nine environmental factors. Based on this, we applied MaxEnt modeling to assess the species’ habitat suitability and applied the Pianka index to evaluate niche overlap. The results showed that the sika deer occupied the smallest area of high-suitability habitat (53.85 km2, 11.13% of the study area), primarily concentrated in the core zone of the TNNR. Specifically, 37.86% of the sika deer’s high-suitability habitat overlapped with wild boar and 29.06% overlapped with Reeve’s muntjac. Pianka index analysis revealed substantial spatial niche overlap between sika deer and Reeve’s muntjac (0.487) but limited overlap between sika deer and wild boar (0.160). Our findings indicate substantial overlap between sika deer and sympatric species. To effectively protect the sika deer in the TNNR, we recommend increasing the number of monitoring sites, implementing habitat improvement measures (e.g., vegetation restoration and water supplementation stations), and establishing isolation corridors to enhance habitat connectivity.

4 July 2025 in Ecology and Evolution
Verified
Journal Article
Open access
CZChao Zhang
Chao Zhang
CWChaoyang Wang
Chaoyang Wang
JCJiming Cheng
Jiming Cheng
YFYingqun Feng
Yingqun Feng
ZWZhenyu Wang
Zhenyu Wang
YLYankuo Li
Yankuo Li
Migratory birds play a critical role as sentinels of ecosystem health, serving as key indicator species for monitoring biodiversity changes and environmental conditions. The survival of migratory birds has always been a focus of attention, and the first year following post‐release represents a critical period for establishing stable survival outcomes. However, it is difficult to track the life status of migratory birds, because some drivers affecting their survivorship may be hard to identify. Here, we investigated the survival and adaptation of Tundra Bean Geese ( Anser serrirostris serrirostris ) and Greater White‐fronted Geese ( A. albifrons ) by using GPS tracking data in order to systematically assess how study design parameters, key behavioral traits, and environmental conditions influence the first‐year survival rates of migratory geese from post‐release to spring migration onset. We found that the first‐year survival probability was significantly affected by factors such as average daily activity levels and weather conditions, particularly wind speed. Notably, tracking device type also significantly influenced survival outcomes, with neckband tag units demonstrating superior performance compared to backpack tags. Contrary to expectations, geographic clusters showed no consistent survival times across study cohorts. These findings highlight the influences of study design parameters (particularly device selection), individual behavior, and local weather conditions on waterfowl survival time. Our results provide operational guidelines for GPS tracking deployment in geese conservation and are crucial for developing effective conservation strategies and management measures.