Fish habitat modeling: from conceptual framework to functional tools

By D. Boisclair. 2001

106 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/284801058b225ba8277676741c9fc295e6306c19

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. J. Rosenfeld
2. E. Enders
3. A. Roy
4. D. Boisclair
5. P. Petitgas
6. Benjamin Planque
7. U. Lindstrøm
8. S. Vaz

In Nature and Landscape Conservation

1. E. Enders
2. A. Roy
3. J. Rosenfeld
4. Lorenzo Vilizzi
5. D. Boisclair
6. P. Petitgas
7. U. Lindstrøm
8. S. Vaz

In Water Science and Technology

1. J. Rosenfeld
2. A. Roy
3. E. Enders
4. U. Lindstrøm
5. S. Vaz
6. Benjamin Planque
7. P. Petitgas
8. C. Loots

Citations in the corpus

• Evolutionary individual-based model for the recruitment of anchovy (Engraulis capensis) in the southern Benguela (2002, background): “…difficulties in assembling all of the temporally flexible physical attributes and biological processes into a single spatially explicit framework (Boisclair 2001), it is scientifically challenging to estimate environmental risks with different habitats during the various early life stages of…”
• Understanding what controls the spatial distribution of fish populations using a multi-model approach (2011, methodology): “…2006) and their aim is to relate observations of animal presence or abundance to various attributes of the environment using a statistical method (Randin et al., 2006, Austin, 2002, Rushton et al., 2004, Araújo and Guisan, 2006, Guisan et al., 2006, Austin, 2007, MacNally, 2000, Boisclair, 2001).”
• Assessing variation in suitability curves and electivity profiles in temporal studies of fish habitat use (2004, background): “Increasing concern over the impacts of river regulation on freshwater biota, and on fish in particular, has resulted in a proliferation of habitat studies (Boisclair, 2001), paralleled by the refinement of Instream Flow Needs (IFN) assessment methods (Petts et al., 1995).”
• Assessing the Habitat Requirements of Stream Fishes: An Overview and Evaluation of Different Approaches (2003, background): “Bioenergetic models for drift-foraging fish are worth exploring as a mechanistic alternative to correlative habitat suitability functions, but they will require significant refinement and validation to assess their ability to accurately predict fish growth and abundance (Boisclair 2001).”
• The effect of turbulence on the cost of swimming for juvenile Atlantic salmon (Salmo salar) (2003, background): “Estimation of activity metabolism for fish living in rivers represents a particular challenge because of the unknown metabolic consequences for fish of having to swim against a turbulent flow (Roy et al. 1999; Boisclair 2001).”