Species response curves along environmental gradients. A case study from SE Norwegian swamp forests

By K. Rydgren, R. H. Økland, T. Økland. 2003

86 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/1f1032551b0d64e93d38de97a9e20b289ab2f739

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In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

Living on the edge - modelling habitat suitability for species at the edge of their fundamental niche (2008, background): “…habitat suitability is a linear or truncated linear function of the most relevant variables (cf. Hirzel et al., 2001), or when the species’ true optimum is located at or near an extremum of the environmental gradient (e.g., Austin et al., 1990, 1994; Rydgren et al., 2003; Coudun and Gégout, 2006).”
Habitat suitability modelling and niche theory (2008, background): “Rydgren et al .”
The derivation of species response curves with Gaussian logistic regression is sensitive to sampling intensity and curve characteristics (2006, background): “Indeed, the computation of ecological optima near the ends of the gradients is a difficult task (Rydgren et al., 2003) and Austin et al.”
Species distribution models and ecological theory: A critical assessment and some possible new approaches (2007, background): “Species position along an environmental gradient has been shown to influence the shape of response detected (Bio, 2000; Rydgren et al., 2003).”
Importance of abiotic stress as a range‐limit determinant for European plants: insights from species responses to climatic gradients (2009, background): “…the physiologically most stressful conditions show skewed responses with a steep decline towards the stressful conditions, while species that occur under less stressful conditions show symmetric responses (Austin, 1990; also cf. Austin et al ., 1994; Austin & Gaywood, 1994; Rydgren et al. , 2003).”
Effect of species rarity on the accuracy of species distribution models for reptiles and amphibians in southern California (2009, background): “…of characteristics of species’ range in geographical space and their distribution in environmental space (marginality along environmental gradients and breadth of ecological tolerance) on model estimation and performance (e.g. Rydgren et al ., 2003; Coudun et al ., 2006; Elith et al ., 2006).”
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013, methodology): “Empirical evidence on ecological response curves (Oksanen & Minchin 2002, Rydgren et al. 2003), e.g., obtained by the HOF (Huisman-Olff-Fresco) modelling framework (Huisman et al. 1993, Oksanen & Minchin 2002), indicates that a function with four parameters (four degrees of freedom) is generally…”