A PCA‐based modelling technique for predicting environmental suitability for organisms from presence records

By Mark P. Robertson, Neil Caithness, M. Villet. 2001

167 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/acfa6b0dd6749a07e93f21e479ef17a04970ac48

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

A fuzzy classification technique for predicting species’ distributions: applications using invasive alien plants and indigenous insects (2004, methodology): “and Platypleura capensis L. Alien plants were selected because they represent organisms for which absence data are usually not available or are unreliable, because they are of considerable economic and ecological importance and because we had some insight into the potential distribution of these spe”
Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated data (2009, methodology): “Examples of profile techniques include BIOCLIM [5], DOMAIN [6], Species-PCA [4], and Ecological Niche Factor Analysis: ENFA [7].”
openModeller: a generic approach to species’ potential distribution modelling (2011, background): “GARP Best Subsets [4]), CSM (Climate Space Model) [46], a generic distance-based algorithm (Environmental Distance), SVM, and Envelope Scores.”
PCA – A Powerful Method for Analyze Ecological Niches (2012, methodology): “In addition, applying PCA has become relatively userfriendly because of the numerous programs that assist in carrying out the computational procedure with ease (Dolédec et al., 2000; Guisan & Zimmerman 2000; Robertson et al., 2001; Rissler & Apodaca 2007; Marmion et al., 2009).”
The ghost of past species occurrence: improving species distribution models for presence-only data (2006, methodology): “One category of modelling techniques is based on Hutchinson’s (1957) concept of the ecological niche and uses presence-only data ( -  , Busby 1991;  , Houlder et al . 2000; PCAbased technique, Robertson, Caithness & Villet 2001; Ecological niche factor analysis (ENFA), Hirzel et al .”
A comparison of approaches for modelling the occurrence of marine animals (2008, methodology): “Presence-only techniques were selected based on their previous successful application in the terrestrial environment ( Robertson et al., 2001; Hirzel et al., 2002; Stockwell & Peters, 1999; Ortega-Huerta & Peterson, 2004).”
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”
Habitat suitability for marine fishes using presence-only modelling and multibeam sonar (2010, background): “There is a broad array of quantitative approaches available to model species habitat suitability based on presence-only datasets (e.g. Nix 1986, Stockwell & Noble 1992, Robertson et al. 2001, Hirzel et al. 2002, Phillips et al. 2006, Li & Hilbert 2008).”
Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: A case study of Iberian Copris species (2005, methodology): “As an alternative, species distribution prediction based on presence-only data has been developed (Busby, 1991; Mitchell, 1991; Walker and Cocks, 1991; Carpenter et al., 1993; Scott et al., 1993; Stockwell and Peters, 1999; Peterson et al., 1999; Hirzel et al., 2001, 2002; Robertson et al., 2001).”