An evaluation of a GARP model as an approach to predicting the spatial distribution of non‐vagile invertebrate species

By Amy K Stockman, David A. Beamer, Jason E Bond. 2006

101 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/e2b8d2c16fd2d9b6c4c8f3effb64e00451878d8b

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Citations in the corpus

Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, methodology): “Reference Region Scope Verification Taxon Data1 Allouche et al. (2006) Israel Methodological Informal validation Plants P Anadón et al. (2007) Spain Species conservation Same data Reptiles P-A Anderson et al. (2002) Ecuador, Colombia, Venezuela Biogeography Partitioning Mammals P Araújo et al. (2005”
Modelling invasion for a habitat generalist and a specialist plant species (2008, background): “…of interest (Ficetola et al ., 2007; Zhu et al ., 2007), while model comparisons tend to test multiple models for a single species (Phillips et al ., 2006; Stockman et al ., 2006; Pearson et al ., 2007) or test individual models for multiple species (Bonn & Schoeder, 2001; Thuiller et al ., 2005).”
Combining genetic and geospatial analyses to infer population extinction in mygalomorph spiders endemic to the Los Angeles region (2006, background): “Additional museum material from the American Museum of Natural History and California Academy of Sciences [see material examined sections of Bond (2004) for detailed collection information] was georeferenced on USGS 1:25 000 topographic maps; only specimens with sufficiently detailed locality data w”
Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics (2012, result): “…Diniz-Filho et al., 2009; Marmion et al., 2009; Roura-Pascual et al., 2009) or compare the results, testing their performance to evaluate which one provides the best estimation for the species and for the research purposes (McNyset & Blackburn, 2006; Stockman et al., 2006a,b; Bedia et al., 2011).”
Pandora's Box Contained Bait : The Global Problem of Introduced Earthworms (2008, background): “With care, each of these can be used to identify habitable environments from information on native range, museum records, and/or initial records from within the invaded range (but see Meynard & Quinn 2007, Stockman et al. 2006).”
Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data (2011, background): “Overprediction of species distributions is a common shortcoming of these kind of models, particularly when limited distribution localities are used (Fielding & Haworth 1995; Araújo & Williams 2000; Stockwell & Peterson 2002; Brotons et al. 2004; Segurado & Araújo 2004; Stockman et al. 2006).”
Use of niche models in invasive species risk assessments (2011, background): “…cited as a problem with niche model results (Fielding and Haworth 1995; Araújo and Williams 2000; Stockwell and Peterson 2002; Brotons et al. 2004; Stockman et al. 2006) should be understood as a necessary part of the niche modelling process, when it is aimed at estimating the potential…”
Five (or so) challenges for species distribution modelling (2006, methodology): “Currently, the vast majority of data available for species distribution modelling come from museum and other natural history collections (e.g. Graham, 2001; Ponder et al., 2001; Reutter et al., 2003; Stockman et al., 2006).”
Predicting potential distribution of the jaguar (Panthera onca) in Mexico: identification of priority areas for conservation (2011, result): “Moreover, GARP has been shown to perform poorly in comparison with other new available modelling techniques (Stockman et al., 2006; RouraPascual et al., 2008).”