ANALYSIS OF HABITAT‐SELECTION RULES USING ANINDIVIDUAL‐BASED MODEL

By Steven F. Railsback, B. Harvey. 2002

290 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4cfa99d52f02b4efaf7174d8892ae143f0c88795

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In Ecology

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Citations in the corpus

WHAT CAN HABITAT PREFERENCE MODELS TELL US? TESTS USING A VIRTUAL TROUT POPULATION (2003, methodology): “Railsback and Harvey (2001, 2002) describe the IBM’s assumptions, equations, parameter values, and their bases.”
Ontogenetic and spatial variations in brown trout habitat selection (2010, background): “The observed spatial segregation between age-classes may be explained by the trade-off between energy gain and predation risk which tends to drive position choice in salmonids (Railsback & Harvey 2002).”
Next-Generation Individual-Based Models Integrate Biodiversity and Ecosystems: Yes We Can, and Yes We Must (2017, methodology): “…IBMs also used demographic rates as input, newer IBMs increasingly have demographics that emerge from mechanisms such as fitness-seeking behavior (Railsback and Harvey 2002; Stillman and Goss-Custard 2010), energy budgets (Martin and others 2012, 2013; Sibly and others 2013; van der Vaart and…”
Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application (2003, methodology): “Note that this technique is especially powerful when multiple patterns are used (Kendall et al. 1999, Reynolds and Ford 1999, Ford 2000, Railsback and Harvey 2002, Wiegand et al. in press).”
Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE (2014, unknown): “Other submodels representing key behaviours, for instance home range dynamics (Liu et al., 2013), habitat selection (Railsback and Harvey, 2002), or starvation (Martin et al., 2013), often require testing a large number of alternative versions, both in isolation and within the entire model When a…”
Dealing with Uncertainty in Spatially Explicit Population Models (2004, methodology): “when multiple patterns are used (see also Kendall et al., 1999; Railsback and Harvey, 2002 ).”
Tests of Theory for Diel Variation in Salmonid Feeding Activity and Habitat Use (2005, methodology): “(Other examples include Huse and Giske 1998, Railsback and Harvey 2002, and Stephens et al. 2002.)”
Food abundance and fish density alters habitat selection, growth, and habitat suitability curves for juvenile coho salmon (Oncorhynchus kisutch) (2005, methodology): “Bioenergetic modelling may provide a useful tool for defining the phasespace of food and habitat conditions where drift-feeding fish will achieve positive growth, since bioenergetic models integrate both physical habitat factors (through swimming costs and size of the drift-feeding window) and food ”
Assessing the Habitat Requirements of Stream Fishes: An Overview and Evaluation of Different Approaches (2003, background): “…choice based on the energetic costs and benefits of using different habitats (e.g., Fausch 1984; Hughes and Dill 1990; Guensch et al. 2001; Railsback and Harvey 2002) and have been shown to accurately predict microhabitat choice by a variety of driftfeeding fishes, including rosyside dace…”