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Predicting climate heating impacts on riverine fish species diversity in a biodiversity hotspot region.
Makki, Toktam; Mostafavi, Hossein; Matkan, Ali Akbar; Valavi, Roozbeh; Hughes, Robert M; Shadloo, Shabnam; Aghighi, Hossein; Abdoli, Asghar; Teimori, Azad; Eagderi, Soheil; Coad, Brian W.
Afiliación
  • Makki T; Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
  • Mostafavi H; Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran. hmostafaviw@gmail.com.
  • Matkan AA; The Center for Remote Sensing and Geographic Information System Research, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran.
  • Valavi R; CSIRO Environment, Clayton South, VIC, 3169, Australia.
  • Hughes RM; Amnis Opes Institute, Corvallis, OR, 97333, USA.
  • Shadloo S; Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, OR, 97331, USA.
  • Aghighi H; Institute for Oceans and Fisheries, University of British Columbia, Vancouver, Canada.
  • Abdoli A; The Center for Remote Sensing and Geographic Information System Research, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran.
  • Teimori A; Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
  • Eagderi S; Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Iran.
  • Coad BW; Department of Fisheries, Faculty of Natural Resources, University of Tehran, Karaj, Iran.
Sci Rep ; 13(1): 14347, 2023 09 01.
Article en En | MEDLINE | ID: mdl-37658153

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Calefacción Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Calefacción Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido