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Potamodromous brown trout movements in the North of the Iberian Peninsula: Modelling past, present and future based on continuous fishway monitoring.
García-Vega, Ana; Sanz-Ronda, Francisco Javier; Fernandes Celestino, Leandro; Makrakis, Sergio; Leunda, Pedro M.
Afiliação
  • García-Vega A; Department of Hydraulics and Hydrology, University of Valladolid, Avenida de Madrid 44, Campus La Yutera, 34004 Palencia, Spain. Electronic address: ana.garcia.vega@iaf.uva.es.
  • Sanz-Ronda FJ; Department of Hydraulics and Hydrology, University of Valladolid, Avenida de Madrid 44, Campus La Yutera, 34004 Palencia, Spain. Electronic address: jsanz@iaf.uva.es.
  • Fernandes Celestino L; Grupo de Pesquisa em Tecnologia em Ecohidráulica e Conservação de Recursos Pesqueiros e Hídricos - GETECH, Universidade Estadual do Oeste do Paraná, Jardim Santa Maria, Toledo, Brazil. Electronic address: le_celestino@hotmail.com.
  • Makrakis S; Grupo de Pesquisa em Tecnologia em Ecohidráulica e Conservação de Recursos Pesqueiros e Hídricos - GETECH, Universidade Estadual do Oeste do Paraná, Jardim Santa Maria, Toledo, Brazil. Electronic address: sergio.makrakis@unioeste.br.
  • Leunda PM; Gestión Ambiental de Navarra, S.A. Calle Padre Adoain, 219 bajo, 31015 Pamplona/Iruña, Spain. Electronic address: pleundau@gan-nik.es.
Sci Total Environ ; 640-641: 1521-1536, 2018 Nov 01.
Article em En | MEDLINE | ID: mdl-30021318
ABSTRACT
Brown trout uses river flow and thermal regimens as main stimuli for initiating and maintaining behavioral reactions such as migration and spawning. Therefore, anthropogenic alterations on these factors may have strong impacts on its populations. The aim of this work is to understand these consequences by assessing potamodromous brown trout movements in the past and present, and to model future responses. For this, brown trout movements in a fishway in the Marin River (Bidasoa basin, Northern Iberian Peninsula) have been monitored from 2008 to 2017. Random forest regression has been used to assess the influence of environmental variables on brown trout movements and to model the response under hypothetical climatic and hydrological scenarios. Results show that brown trout uses the fishway during the whole year, with more upstream movements during the spawning season. The model is able to predict accurately the timing and number of migrants. Its use under hypothetical climate change and flow regulation scenarios shows a delay in the migration time. Therefore, modelling using large time series can be a powerful tool to define management and conservation strategies and prepare compensation measures for future scenarios.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Truta / Modelos Estatísticos / Migração Animal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: Europa Idioma: En Revista: Sci Total Environ Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Truta / Modelos Estatísticos / Migração Animal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: Europa Idioma: En Revista: Sci Total Environ Ano de publicação: 2018 Tipo de documento: Article