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Mapping biodiversity hotspots of fish communities in subtropical streams through environmental DNA.
Blackman, Rosetta C; Osathanunkul, Maslin; Brantschen, Jeanine; Di Muri, Cristina; Harper, Lynsey R; Mächler, Elvira; Hänfling, Bernd; Altermatt, Florian.
Afiliación
  • Blackman RC; Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600, Dübendorf, Switzerland. rosiecblackman@gmail.com.
  • Osathanunkul M; Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstr. 190, 8057, Zürich, Switzerland. rosiecblackman@gmail.com.
  • Brantschen J; Research Priority Programme Global Change and Biodiversity (URPP GCB), University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland. rosiecblackman@gmail.com.
  • Di Muri C; Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600, Dübendorf, Switzerland.
  • Harper LR; Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand.
  • Mächler E; Research Centre in Bioresources for Agriculture, Industry and Medicine, Chiang Mai University, Chiang Mai, Thailand.
  • Hänfling B; Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600, Dübendorf, Switzerland.
  • Altermatt F; Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstr. 190, 8057, Zürich, Switzerland.
Sci Rep ; 11(1): 10375, 2021 05 14.
Article en En | MEDLINE | ID: mdl-33990677
Large tropical and subtropical rivers are among the most biodiverse ecosystems worldwide, but also suffer from high anthropogenic pressures. These rivers are hitherto subject to little or no routine biomonitoring, which would be essential for identification of conservation areas of high importance. Here, we use a single environmental DNA multi-site sampling campaign across the 200,000 km2 Chao Phraya river basin, Thailand, to provide key information on fish diversity. We found a total of 108 fish taxa and identified key biodiversity patterns within the river network. By using hierarchical clustering, we grouped the fish communities of all sites across the catchment into distinct clusters. The clusters not only accurately matched the topology of the river network, but also revealed distinct groups of sites enabling informed conservation measures. Our study reveals novel opportunities of large-scale monitoring via eDNA to identify relevant areas within whole river catchments for conservation and habitat protection.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Conservación de los Recursos Naturales / Biodiversidad / Peces Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Conservación de los Recursos Naturales / Biodiversidad / Peces Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Suiza