Predicting reptile distributions at the mesoscale: relation to climate and topography

By Antoine Guisan, U. Hofer. 2003

231 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/446a3138f6f1b40e3838eedee32e0bd01a2f73f2

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Protracted rainfall decreases temperature within leatherback turtle (Dermochelys coriacea) clutches in Grenada, West Indies: Ecological implications for a species displaying temperature dependent sex determination (2007, background): “Not surprisingly this remains a contentious issue as the complexity of climate modelling poses a serious challenge to anyone seeking to interpret subsequent effects for any particular species (e.g. Portner, 2002; Guisann and Hofer, 2003; Hays et al., 2003).”
The ghost of past species occurrence: improving species distribution models for presence-only data (2006, methodology): “Kappa) was assigned to the model ( Guisan & Hofer 2003; Engler, Guisan & 809 Improving species distribution models”
Inferring habitat-suitability areas with ecological modelling techniques and GIS: A contribution to assess the conservation status of Vipera latastei (2006, background): “Frequently, climatic ei in UTM 10 · 10 squares (white points) overlaid with factors such as precipitation or temperature are responsible for the distribution patterns exhibited by many reptile species (Real et al., 1997; Brito et al., 1999b; Guisan and Hofer, 2003).”
Sensitivity of predictive species distribution models to change in grain size (2007, background): “…al ., 2004), characteristics of the species data (e.g. geographical accuracy, sample size, field survey constraints, or autocorrelation structure; Guisan & Hofer, 2003; Gottschalk et al ., 2005; Linke et al ., 2005; Huettmann & Diamond, 2006) or computer power (i.e. too many cells may require…”
Accuracy of resource selection functions across spatial scales (2006, background): “…of smallmouth salamander (Ambystoma texanum; Kolozsvary & Swihart, 1999), viperine snakes (Natrix maura), dice snakes (Natrix tessellata; Guisan & Hofer, 2003), mountain vizcachas (Lagidium viscacia; Walker et al., 2003), and African pied starlings (Spreo bicolour; McPherson et al.,…”
An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data (2004, methodology): “…A Language for Data Analysis and Graphics ©2002), by specifying a binomial distribution and a logistic link function, as similarly done for other presence–absence data in ecological studies (Guisan, Weiss & Weiss 1999; Manel, Dias & Ormerod 1999; Guisan & Hofer 2003; also called logit regression).”
A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and Kappa (2008, methodology): “Kappa has been used extensively in map accuracy work (Congalton, 1991), and in presence–absence mapping, a threshold can be deliberately selected to maximize kappa (Guisan and Hofer, 2003; Hirzel et al., 2006; Moisen et al., 2006).”
Species' geographic ranges and distributional limits: pattern analysis and statistical issues (2005, unknown): “Indeed, knowledge of species habitat and climate requirements can be used to obtain a probabilistic map of species occurrence based on logistic regression and predictive models (Davis et al. 1998, Pearce and Ferrier 2000, Guisan and Hofer 2003, Sutherst 2003, Loiselle et al. 2003).”
Uses and requirements of ecological niche models and related distributional models (2006, background): “Several examples of this sort of study have been published (Austin and Meyers 1996; Costa et al. 2002; Guisan and Hofer 2003; Hirzel et al. 2002; Luoto et al. 2006; Peterson et al. 2004a; Ron 2005).”
A comparative evaluation of presence‐only methods for modelling species distribution (2007, result): “…al ., 2001; Kadmon et al ., 2003; Berg et al ., 2004), other studies documented negative effects (Pearce et al ., 2001; Stockwell & Peterson, 2002; Guisan & Hofer, 2003; Rouget et al ., 2004; Seguardo & Araujo, 2004), in some studies no relationship was found (Brotons et al ., 2004), and in…”
A comparison of approaches for modelling the occurrence of marine animals (2008, methodology): “These were Generalised Linear Modelling (GLM), a widely used presence–absence technique (Sparholt et al., 1991; Guisan & Zimmerman, 2000; Garcia-Charton & Perez-Ruzafa, 2001; Guisan & Hofer, 2003; MacLeod et al., 2004; Evans & Hammond, 2004) which has been compared to presenceonly techniques in pr”
Improving generalized regression analysis for the spatial prediction of forest communities (2006, background): “This was reported previously by Franklin (1998) for shrub species and by Guisan & Hofer (2003) for reptile species.”
PresenceAbsence: An R Package for Presence Absence Analysis (2008, background): “…et al. 2006; Anderson et al. 2003), conservation planning (Wilson et al. 2004; Fielding and Bell 1997), remote sensing (Congalton 1991), habitat modeling (Hirzel et al. 2006; Pearce and Ferrier 2000; Reineking and Schr¨oder 2003), and wildlife biology (Manel et al. 1999; Guisan and Hofer 2003).”
Novel methods improve prediction of species' distributions from occurrence data (2006, unknown): “…that emerged is that species judged to be specialists by the distribution of records in environmental or geographic space tended to have higher AUC scores than generalists, an effect also observed elsewhere (Guisan and Hofer 2003, Segurado and Araújo 2004, Thuiller et al. 2004, Luoto et al. 2005).”
Determinants of the biogeographical distribution of butterflies in boreal regions (2006, background): “We made the assumption that the absence of a record from a sampled 10-km grid square corresponded to a true absence of the species (Guisan & Hofer, 2003; Eyre et al., 2004).”