Modelling stream fish species distribution in a river network: the relative effects of temperature versus physical factors |
| |
| Authors: | L Buisson L Blanc G Grenouillet |
| |
| Institution: | Laboratoire Evolution et DiversitéBiologique, UMR CNRS-UniversitéPaul Sabatier, Toulouse cedex, France;, Office National de l'Eau et des Milieux Aquatiques, Délégation régionale Aquitaine &Midi-Pyrénées, Toulouse, France |
| |
| Abstract: | Abstract – The relative influence of temperature versus local physical factors on the spatial distribution of riverine fish species was investigated in a large watershed of south-western France. Using generalised additive models and hierarchical partitioning, we modelled the ecological responses of 28 fish species to a set of five environmental predictors, and we quantified the independent effect of each predictor. The spatial distribution of fish species was primarily determined by both mean temperature and position along the upstream–downstream gradient. However, responses to these environmental factors varied according to the species considered. Fish species with strong thermal requirements (e.g., common carp, black bullhead, Atlantic salmon) were mainly sensitive to temperature whereas longitudinal gradient was of primary importance for downstream species (e.g., common bream, largemouth bass, pike perch). Both the statistical methods used gave concordant results and appeared complementary. This dual-approach, quantifying the relative contribution of each environmental factor, appears particularly useful to understand the spatial distribution of stream fish species. Separating the effects of temperature versus habitat factors is crucial to accurately predict species distribution modifications in the current context of global change. |
| |
| Keywords: | stream fish species distribution statistical modelling GAM hierarchical partitioning |
|
|
