WHAT CAN HABITAT PREFERENCE MODELS TELL US? TESTS USING A VIRTUAL TROUT POPULATION

By Steven F. Railsback, H. Stauffer, B. Harvey. 2003

140 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/07e065b9c572e5cc1f58b87d9c39d62418f70a08

How researchers see this paper

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

In Ecological Modeling

1. J. Rosenfeld
2. J. Stamps
3. T. Hatfield
4. R. Swaisgood
5. Matthew D. Johnson

In Ecology

1. L. Rothman
2. T. Leiter
3. G. Lindner
4. T. Hatfield
5. R. Swaisgood
6. J. Richardson
7. J. Rosenfeld
8. J. Stamps

In Nature and Landscape Conservation

1. L. Rothman
2. T. Leiter
3. G. Lindner
4. T. Hatfield
5. J. Richardson
6. J. Rosenfeld
7. J. Stamps
8. R. Swaisgood

Citations in the corpus

• MEASURING HABITAT QUALITY: A REVIEW (2007, background): “…using distribution to reveal habitat quality is that numerous scenarios can lead to animals selecting poor and avoiding rich habitats (Rapport 1991, Railsback et al. 2003), including incomplete information (Shochat et al. 2002, Stamps et al. 2005), ecological traps (Battin 2004), time lags and…”
• Impact of channel bar form and grain size variability on estimated stranding risk of juvenile brown trout during hydropeaking (2014, methodology): “Numerically modelled (unsteady) flow data are used to evaluate the habitat quality of the target species (Railsback et al., 2003).”
• Someplace like home: Experience, habitat selection and conservation biology (2007, background): “Every few years, ecologists point out various reasons why population density provides a poor estimate of habitat quality (VanHorne, 1983; Purchell and Verner, 1998; Railsback et al., 2003; Bock and Jones, 2004).”
• Information needs for assessing critical habitat of freshwater fish (2006, background): “…models that generate population estimates by extrapolating densities of animals in different habitat types to larger areas (Hankin 1984; Hankin and Reeves 1988) to habitat-explicit, size-structured population models (e.g., Nickelson and Lawson 1998; Akcakaya and Atwood 1997; Railsback et al. 2003).”
• Causes and consequences of invertebrate drift in running waters: from individuals to populations and trophic fluxes (2016, background): “As a result, most empirical 542 applications have treated drift as a constant or fitted parameter when modelling habitat quality 543 over a range of physical conditions or locations (Railsback et al. 2003; Urabe et al. 2010; 544 Rosenfeld and Ptolemy 2012).”
• Food abundance and fish density alters habitat selection, growth, and habitat suitability curves for juvenile coho salmon (Oncorhynchus kisutch) (2005, methodology): “Habitat quality can be directly measured in terms of growth and survival in different habitat types (Lonzarich and Quinn 1995; Rosenfeld and Boss 2001; Railsback et al. 2003) or by using frequency-of-use, density (e.”