Yongchao Jin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yongchao Jin has a total of 28 co-authors. Here are the top co-authors by number of shared publications:
- Minghai Zhang
College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
2 shared publications Chenyan Zhang
Southeast University, China
1 shared publicationFei Fang
Carnegie Mellon University, USA
1 shared publication- Guangdao Bao
Jilin Provincial Academy of Forestry Sciences (Jilin Provincial Forestry Biological Control Center Station), Changchun 130033, China
1 shared publication Heng Bao
College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
1 shared publicationHong Chen
Heilongjiang Wildlife Research Institute Harbin China
1 shared publication
Latest Publications
- Open Access
- 16 January 2025
- Published by Wiley in Wildlife Letters
- Vol. 3 (1) , 7-15
Identifying Human–Tiger Conflict Risk and Priority Management Areas in Laoyeling, Northeast China
Realizing coexistence between humans and tigers is an important initiative of tiger recovery in the world. To define the priority management areas (PMAs) to mitigate the human–tiger conflict (HTC) in Laoyeling, where 90% of China's Amur tiger population is living, we analyzed the distribution of tiger habitat and HTC risk, and delineated PMAs for HTC mitigation. The results indicated that 26.77% (1851 km2) of Laoyeling is the most suitable habitat for the Amur tiger. The high‐risk area for HTC covers an area of 1173 km2, of which 413 km2 is the most suitable habitat for tiger. Among the six PMAs, 374 km2 of 1398 km2 are located outside protected areas and need to strengthen conservation and management. Our research can contribute to improving the management effectiveness of HTC in Laoyeling and promoting the recovery of the Amur tiger in China.
- 16 January 2025
- Published by Wiley in Wildlife Letters
- Vol. 3 (1) , 7-15
Open AccessIdentifying Human–Tiger Conflict Risk and Priority Management Areas in Laoyeling, Northeast China
Realizing coexistence between humans and tigers is an important initiative of tiger recovery in the world. To define the priority management areas (PMAs) to mitigate the human–tiger conflict (HTC) in Laoyeling, where 90% of China's Amur tiger population is living, we analyzed the distribution of tiger habitat and HTC risk, and delineated PMAs for HTC mitigation. The results indicated that 26.77% (1851 km2) of Laoyeling is the most suitable habitat for the Amur tiger. The high‐risk area for HTC covers an area of 1173 km2, of which 413 km2 is the most suitable habitat for tiger. Among the six PMAs, 374 km2 of 1398 km2 are located outside protected areas and need to strengthen conservation and management. Our research can contribute to improving the management effectiveness of HTC in Laoyeling and promoting the recovery of the Amur tiger in China.
- Open Access
- 20 October 2022
- Published by Frontiers Media SA in Frontiers in Microbiology
- Vol. 13, 1033050
Diet-induced microbial adaptation process of red deer (Cervus elaphus) under different introduced periods
Insufficient prey density is a major factor hindering the recovery of the Amur tiger (Panthera tigris altaica), and to effectively restore the Amur tiger, red deer (Cervus elaphus) was released into the Huangnihe National Nature Reserve of Northeast China as the main reinforcement. Differences in feeding and synergistic changes caused by the intestinal microbial communities could impact the adaptation of wildlife following reintroductions into field environments. We analyzed the foraging changes in shaping the intestinal microbial community of the red deer after being released to the Huangnihe National Nature Reserve and screened the key microbial flora of the red deer when processing complex food resources. The feeding and intestinal microbial communities of the red deer were analyzed by plant Deoxyribonucleic acid (DNA) barcoding sequencing and 16S rRNA high-throughput sequencing, respectively. The results showed that there were significant differences in food composition between wild and released groups [released in 2019 (R2): n = 5; released in 2021 (R0): n = 6]; the wild group fed mainly on Acer (31.8%) and Abies (25.6%), R2 fed mainly on Betula (44.6%), R0 had not formed a clear preferred feeding pattern but had certain abilities to process and adapt to natural foods. Firmicutes (77.47%) and Bacteroides (14.16%) constituted the main bacterial phylum of red deer, of which, the phylum Firmicutes was the key species of the introduced red deer for processing complex food resources (p < 0.05). The wild release process significantly changed the intestinal microbial structure of the red deer, making it integrate into the wild red deer. The period since release into the wild may be a key factor in reshaping the structure of the microbial community. This study suggested that the intestinal microbial structure of red deer was significantly different depending on how long since captive deer has been translocated. Individuals that have lived in similar environments for a long time will have similar gut microbes. This is the adaption process of the wildlife to natural environment after wild release, taking into account the gut microbes, and the feeding changes in shaping microbial communities can help introduced red deer match complex food resources and novel field environments.
- 20 October 2022
- Published by Frontiers Media SA in Frontiers in Microbiology
- Vol. 13, 1033050
Open AccessDiet-induced microbial adaptation process of red deer (Cervus elaphus) under different introduced periods
Insufficient prey density is a major factor hindering the recovery of the Amur tiger (Panthera tigris altaica), and to effectively restore the Amur tiger, red deer (Cervus elaphus) was released into the Huangnihe National Nature Reserve of Northeast China as the main reinforcement. Differences in feeding and synergistic changes caused by the intestinal microbial communities could impact the adaptation of wildlife following reintroductions into field environments. We analyzed the foraging changes in shaping the intestinal microbial community of the red deer after being released to the Huangnihe National Nature Reserve and screened the key microbial flora of the red deer when processing complex food resources. The feeding and intestinal microbial communities of the red deer were analyzed by plant Deoxyribonucleic acid (DNA) barcoding sequencing and 16S rRNA high-throughput sequencing, respectively. The results showed that there were significant differences in food composition between wild and released groups [released in 2019 (R2): n = 5; released in 2021 (R0): n = 6]; the wild group fed mainly on Acer (31.8%) and Abies (25.6%), R2 fed mainly on Betula (44.6%), R0 had not formed a clear preferred feeding pattern but had certain abilities to process and adapt to natural foods. Firmicutes (77.47%) and Bacteroides (14.16%) constituted the main bacterial phylum of red deer, of which, the phylum Firmicutes was the key species of the introduced red deer for processing complex food resources (p < 0.05). The wild release process significantly changed the intestinal microbial structure of the red deer, making it integrate into the wild red deer. The period since release into the wild may be a key factor in reshaping the structure of the microbial community. This study suggested that the intestinal microbial structure of red deer was significantly different depending on how long since captive deer has been translocated. Individuals that have lived in similar environments for a long time will have similar gut microbes. This is the adaption process of the wildlife to natural environment after wild release, taking into account the gut microbes, and the feeding changes in shaping microbial communities can help introduced red deer match complex food resources and novel field environments.
- Open Access
Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
Hunchun, a typical area suffering wild boar (Sus scrofa) damage, is an important region for the Siberian Tiger (Panthera tigris) in China. By incorporating the maximum entropy model with 22 variables in the home range scale (12 variables) and in the feeding site scale (10 variables), we predicted wild boar damage risks in this area of China and analyzed how spatial factors influence damage risk. Damage risk was found to be high in areas close to the forest edge, areas with a higher forest cover and lower to medium deciduous forest proportion, low road density, and a medium river density and farmland proportion. The proportion of farmland which was identified as being in the high damage risk zone was 23.55%, of which 38.68% was within the habitat area of the Siberian Tiger. Finally, we propose wild boar damage prevention based on different management goals.
Open AccessMulti-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China
Hunchun, a typical area suffering wild boar (Sus scrofa) damage, is an important region for the Siberian Tiger (Panthera tigris) in China. By incorporating the maximum entropy model with 22 variables in the home range scale (12 variables) and in the feeding site scale (10 variables), we predicted wild boar damage risks in this area of China and analyzed how spatial factors influence damage risk. Damage risk was found to be high in areas close to the forest edge, areas with a higher forest cover and lower to medium deciduous forest proportion, low road density, and a medium river density and farmland proportion. The proportion of farmland which was identified as being in the high damage risk zone was 23.55%, of which 38.68% was within the habitat area of the Siberian Tiger. Finally, we propose wild boar damage prevention based on different management goals.
- Open Access
- 20 June 2018
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
- 20 June 2018
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Open AccessExploiting Data and Human Knowledge for Predicting Wildlife Poaching