Conservation Strategies for Endemic Fish Species Threatened by the Three Gorges Dam
Identifieur interne : 001237 ( Main/Exploration ); précédent : 001236; suivant : 001238Conservation Strategies for Endemic Fish Species Threatened by the Three Gorges Dam
Auteurs : Young-Seuk Park [France] ; Jianbo Chang [République populaire de Chine] ; Sovan Lek [France] ; Wenxuan Cao [République populaire de Chine] ; Sebastien Brosse [France]Source :
- Conservation Biology [ 0888-8892 ] ; 2003-12.
English descriptors
- KwdEn :
Abstract
Abstract: The largest damming project to date, the Three Gorges Dam has been built along the Yangtze River (China), the most species‐rich river in the Palearctic region. Among 162 species of fish inhabiting the main channel of the upper Yangtze, 44 are endemic and are therefore under serious threat of global extinction from the dam. Accordingly, it is urgently necessary to develop strategies to minimize the impacts of the drastic environmental changes associated with the dam. We sought to identify potential reserves for the endemic species among the 17 tributaries in the upper Yangtze, based on presence/absence data for the 44 endemic species. Potential reserves for the endemic species were identified by characterizing the distribution patterns of endemic species with an adaptive learning algorithm called a “self‐organizing map” (SOM). Using this method, we also predicted occurrence probabilities of species in potential reserves based on the distribution patterns of communities. Considering both SOM model results and actual knowledge of the biology of the considered species, our results suggested that 24 species may survive in the tributaries, 14 have an uncertain future, and 6 have a high probability of becoming extinct after dam filling.
Url:
DOI: 10.1111/j.1523-1739.2003.00430.x
Affiliations:
- France, République populaire de Chine
- Midi-Pyrénées, Occitanie (région administrative)
- Toulouse
- Université Toulouse III - Paul Sabatier
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Among 162 species of fish inhabiting the main channel of the upper Yangtze, 44 are endemic and are therefore under serious threat of global extinction from the dam. Accordingly, it is urgently necessary to develop strategies to minimize the impacts of the drastic environmental changes associated with the dam. We sought to identify potential reserves for the endemic species among the 17 tributaries in the upper Yangtze, based on presence/absence data for the 44 endemic species. Potential reserves for the endemic species were identified by characterizing the distribution patterns of endemic species with an adaptive learning algorithm called a “self‐organizing map” (SOM). Using this method, we also predicted occurrence probabilities of species in potential reserves based on the distribution patterns of communities. 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