Prediction analysis of seasonal distribution and population migration corridor of .
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| Autori principali: | , , , , , |
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| Natura: | Artículo científico |
| Lingua: | en |
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Ying yong sheng tai xue bao = The journal of applied ecology
2025
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| _version_ | 1868266203995176961 |
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| author | Xing, Yan-Kuo Lu, Zhi-Chuang DU, Jing Gao, Xiang-Gang Wang, Zhen Tian, Jia-Shen |
| author_facet | Xing, Yan-Kuo Lu, Zhi-Chuang DU, Jing Gao, Xiang-Gang Wang, Zhen Tian, Jia-Shen Xing, Yan-Kuo Lu, Zhi-Chuang DU, Jing Gao, Xiang-Gang Wang, Zhen Tian, Jia-Shen |
| collection | PubMed - marine biology |
| contents | Prediction analysis of seasonal distribution and population migration corridor of . Xing, Yan-Kuo Lu, Zhi-Chuang DU, Jing Gao, Xiang-Gang Wang, Zhen Tian, Jia-Shen Animals Seasons Animal Migration China Ecosystem Population Dynamics Conservation of Natural Resources Endangered Species Models, Theoretical Forecasting , as a first-class protected animal in China, is listed in the IUCN catalogue and the CITES appendix. They migrate in various sea areas around the world. Driven by environmental change and human activities, it has become one of the most endangered taxa globally. To further understand the distribution and migratory corridors of , we assessed their suitable habitats by establishing a seasonal species combining distribution model based on utilized data records and seven environmental variables, as well as their seasonal migration corridor by circuit connectivity theory and least-cost path analysis. The results showed that the established seasonal distribution model performed well. There were significant differences in the seasonal distribution of , with an overall trend of shifting towards higher latitudes in spring and summer, and towards lower latitudes in autumn and winter. Temperature and sea depth were important factors affecting the seasonal distribution of . The migration corridor showed strong seasonality, mainly located in shallow coastal waters. There were multiple migration corridors in different seasons to connect suitable habitats. This study demonstrated the feasibility of using species distribution models and connectivity analysis to predict the migratory corridors of marine animals, which could provide essential knowledge for adaptive conservation and management strategies of . |
| format | Artículo científico |
| id | pubmed_40375530 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Ying yong sheng tai xue bao = The journal of applied ecology |
| record_format | pubmed |
| spellingShingle | Prediction analysis of seasonal distribution and population migration corridor of . Xing, Yan-Kuo Lu, Zhi-Chuang DU, Jing Gao, Xiang-Gang Wang, Zhen Tian, Jia-Shen Animals Seasons Animal Migration China Ecosystem Population Dynamics Conservation of Natural Resources Endangered Species Models, Theoretical Forecasting Prediction analysis of seasonal distribution and population migration corridor of . Xing, Yan-Kuo Lu, Zhi-Chuang DU, Jing Gao, Xiang-Gang Wang, Zhen Tian, Jia-Shen Animals Seasons Animal Migration China Ecosystem Population Dynamics Conservation of Natural Resources Endangered Species Models, Theoretical Forecasting , as a first-class protected animal in China, is listed in the IUCN catalogue and the CITES appendix. They migrate in various sea areas around the world. Driven by environmental change and human activities, it has become one of the most endangered taxa globally. To further understand the distribution and migratory corridors of , we assessed their suitable habitats by establishing a seasonal species combining distribution model based on utilized data records and seven environmental variables, as well as their seasonal migration corridor by circuit connectivity theory and least-cost path analysis. The results showed that the established seasonal distribution model performed well. There were significant differences in the seasonal distribution of , with an overall trend of shifting towards higher latitudes in spring and summer, and towards lower latitudes in autumn and winter. Temperature and sea depth were important factors affecting the seasonal distribution of . The migration corridor showed strong seasonality, mainly located in shallow coastal waters. There were multiple migration corridors in different seasons to connect suitable habitats. This study demonstrated the feasibility of using species distribution models and connectivity analysis to predict the migratory corridors of marine animals, which could provide essential knowledge for adaptive conservation and management strategies of . |
| title | Prediction analysis of seasonal distribution and population migration corridor of . |
| topic | Animals Seasons Animal Migration China Ecosystem Population Dynamics Conservation of Natural Resources Endangered Species Models, Theoretical Forecasting |
| url | https://pubmed.ncbi.nlm.nih.gov/40375530/ |