Geographical distributions of spiny pocket mice in South America: insights from predictive models

By R. P. Anderson, Marcela Gómez‐Laverde, A. Townsend Peterson. 2002

338 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/9383bcc41126fdf3408a55967729209ecaa685dd

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

In Ecology

In Genetics

Citations in the corpus

Uses and requirements of ecological niche models and related distributional models (2006, background): “Examples of this sort of ENM application are numerous (Anderson et al. 2002a; Graham et al. 2004; Manel et al. 1999; Pearce et al. 2001; Robertson et al. 2004; Rojas-Soto et al. 2003; Skidmore et al. 1996; Svenning and Skov 2004).”
An evaluation of a GARP model as an approach to predicting the spatial distribution of non‐vagile invertebrate species (2006, methodology): “One measure of accuracy was found using a comparison of each data point with its corresponding GARP model prediction value (Anderson et al ., 2002).”
Ecological niche modelling and prioritizing areas for species reintroductions (2006, methodology): “be used when sample sizes are low (Anderson et al., 2002).”
Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions (2013, background): “05) indicate that the model is classifying presence better than a random expectation, given the proportion of pixels predicted present (Anderson et al. 2002).”
INTEGRATING PHYLOGENETICS AND ENVIRONMENTAL NICHE MODELS TO EXPLORE SPECIATION MECHANISMS IN DENDROBATID FROGS (2004, background): “Therefore, other factors, such as history, dispersal barriers, extinction, or competition may have limited the observed range of a given species (Anderson et al. 2002b).”
Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species’ current and future distributions (2005, background): “…threat of pests or invasive species (Ungerer et al., 1999; Sutherst et al., 2000), to obtain insights into the biology and biogeography of species (Anderson et al., 2002; Steinbauer et al., 2002), to identify hotspots of endangered species (Godown and Peterson, 2000) or predict biodiversity (Maes…”
GIS‐based niche models identify environmental correlates sustaining a contact zone between three species of European vipers (2008, background): “However, few studies have addressed this relationship spatially, using Geographical Information System (GIS) tools (but see Anderson et al ., 2002; Swenson, 2006), and usually these studies performed over broad regions, such as continents (but see Brito & Crespo, 2002).”
The influence of spatial errors in species occurrence data used in distribution models (2007, background): “Also, collectors accumulate specimens from a sometimes-broad radius around a field camp, but often use a single locality descriptor for that collecting site ( Anderson, Gomez-Laverde & Peterson 2002 ).”
The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela (2010, background): “…topographic complexity of the region in question and the distributional patterns of congeneric (or other closely related) species, especially when congeners show parapatric distributions suggestive of competitive interactions (Koplin & Hoffmann, 1968; Bullock et al., 2000; Anderson et al., 2002b).”
Invasion dynamics and potential spread of the invasive alien plant species Ageratina adenophora (Asteraceae) in China (2006, background): “GARP’s predictive abilities have been tested and proven under diverse circumstances (Peterson & Cohoon, 1999; Peterson et al ., 1999, 2002, 2003; Peterson & Vieglais, 2001; Peterson, 2001; Anderson et al ., 2002; Oberhauser & Peterson, 2003; Rice et al ., 2003).”
Modeling species’ geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys) of Ecuador (2004, methodology): “Thus, accuracy of test points to within 5 km—much more precise than the original resolution of the coarsest predictor variables—is acceptable (see Anderson et al., 2002a) and indicates the ability of GARP to predict the species' macrodistributions using the present environmental data.”
Reconstructing the Pleistocene geography of the Aphelocoma jays (Corvidae) (2004, background): “GARP’s predictive abilities have been tested and proven under diverse circumstances (Stockwell & Peters, 1999; Anderson et al ., 2002; Feria & Peterson, 2002; Stockwell & Peterson, 2002a,b; Anderson et al ., 2003; Peterson & Kluza, 2003; Stockwell & Peterson, in press).”
Predicting the Distribution of the Amphibian Pathogen Batrachochytrium dendrobatidis in the New World 1 (2005, methodology): “These results parallel those of other investigations that have shown a high predictive power of distribution ranges from niche modeling (e.g., Anderson et al. 2002b, 2003; Peterson et al. 2002a, 2003, 2004; Peterson 2003; Ortega-Huerta & Peterson 2004).”
Evaluating predictive models of species’ distributions: criteria for selecting optimal models (2003, methodology): “Considerable variation was present among GARP models, as predicted by the theoretical background of genetic algorithms (Holland, 1975) and indicated by previous work (e.g. Anderson et al., 2002a).”
Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent (2011, methodology): “We used one-tailed binomial probabilities to determine whether evaluation localities fell into regions of predicted presence more often than expected by chance (model significance; Anderson et al., 2002a; Fielding, 2002; Phillips et al., 2006).”