首页 | 本学科首页   官方微博 | 高级检索  
     


Modelling the habitat requirement of riverine fish species at the European scale: sensitivity to temperature and precipitation and associated uncertainty
Authors:Maxime Logez  Pierre Bady  Didier Pont
Affiliation:1. Cemagref, UR HBAN, 1 rue Pierre‐Gilles de Gennes – CS 10030, Antony, France;2. University Hospital (CHUV), Rue du Bugnon, 46, Lausanne, Switzerland;3. Swiss Institute of Bioinformatics, Bioinformatics Core Facility, Quartier UNIL‐Sorge Batiment Génopode, Lausanne, Switzerland
Abstract:Abstract – Species distribution models (SDMs) have been widely used for different purposes such as studying species niche or forecasting the effects of global change on species distribution. Nevertheless, these models are often calibrated on datasets that only cover a fraction of the species’ realised niches, which could lead to unrealistic results. The aim of this study was to model the habitat requirements of 21 freshwater fish species that are native to Europe, using a dataset that accurately reflects their realised niches. Both temperature and precipitation were used as climatic factors to model the habitat requirements of the species, and the uncertainty associated with the fitted environment–occurrence relationships was examined. The results demonstrated the importance of accounting for these two climatic components when estimating the habitat requirements of riverine fish species and whether the uncertainty associated with model expectations varies with the species and the environmental factor considered. These results are discussed with regard to the known ecology of the 21 riverine fish species and within the perspective of climate change.
Keywords:species distribution model  hierarchical partitioning  confidence interval  optima  environmental range  large spatial scale
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号