Modelling habitat requirement of European fishes: do species have similar responses to local and regional environmental constraints?

By D. Pont, B. Hugueny, T. Oberdorff. 2005

137 citations recorded by the source corpus.

Subfields: Aquatic Science, Ecological Modeling, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a09f37b3f7188a1ce8976e33c72dea0baf9efddb

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In Aquatic Science

In Ecological Modeling

In Nature and Landscape Conservation

Citations in the corpus

Impact of twenty‐first century climate change on diadromous fish spread over Europe, North Africa and the Middle East (2009, background): “Combined with precipitation, it represents the hydraulic potential of the river (Pont et al., 2005).”
Accuracy of resource selection functions across spatial scales (2006, background): “%) were predicted best by adding grains measured at large scales (> 100 ha) such as some molluscs (Dunk et al., 2004), rodents (Walker et al., 2003), small birds (Saab, 1999) and fish (Pont et al., 2005).”
Fish‐based methods for assessing European running waters: a synthesis (2007, background): “Oakes, Gido, Falke, Olden & Brock (2005) correctly classified species presence/absence at a level of 81%; Pont, Hugueny & Oberdorff (2005) achieved a level of 71– 92%.”
Trait-Based Approaches in the Analysis of Stream Fish Communities (2010, background): “In particular, the literature on species–habitat relationships is almost overwhelming (e.g., Pont et al. 2005).”
Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors (2008, methodology): “According to Pont et al. (2005), it was considered that a predictor had high explanatory power when %Ii was higher than 100/N (where N is the number of predictors, thus %Ii is higher than 20% in this study).”
Fish Invasions in the World's River Systems: When Natural Processes Are Blurred by Human Activities (2008, methodology): “We therefore evaluated the independent explanatory power of each environmental and human variable by using hierarchical partitioning [26–28,51,52], a method based on the theorem of hierarchies in which all possible models in a multiple regression setting are considered jointly to attempt to identify”
Multiscale effects of flow regime and habitat and their interaction on fish assemblage structure in eastern Australia (2007, result): “It would therefore be instructive to compare the results of the present study with those of other methods that can uncover the unique contribution of different variable sets, including variance partitioning methods (e.g., Magalhães et al. 2002; Pont et al. 2005), or to analyze residuals from each st”