Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: A case study of Iberian Copris species

By Rosa M. Chefaoui, Joaquín Hortal, Jorge M. Lobo. 2005

189 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/81d83f2d111d668768851747cc2f6cb7a3660ef3

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In Ecological Modeling

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Citations in the corpus

Accounting for uncertainty when mapping species distributions: The need for maps of ignorance (2011, methodology): “Most collection data available in natural history collections have been obtained without any planned sampling scheme, and their geographical locations are often uncertain and/or imprecise (Chefaoui et al., 2005; Dennis and Thomas, 2000; Dennis et al., 1999; Elith et al., 2006; Hortal et al., 2007,…”
Differential impact of landscape transformation on pumas (Puma concolor) and jaguars (Panthera onca) in the Upper Paraná Atlantic Forest (2011, background): “…and that its results allow a direct comparison among multiple species that inhabit the same region by interpreting the parameters from the ecological niche perspective (e.g. their relative specialization level; Chefaoui et al., 2005; Acevedo et al., 2007; Sattler et al., 2007; Durant et al., 2010).”
Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, background): “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”
Assessing the effects of pseudo-absences on predictive distribution model performance (2008, background): “e c o l o g i c a l m o d e l l i n g 2 1 0 ( 2 0 0 8 ) 478–486 avai lab le at www.sc iencedi rec t .com journa l homepage: www.e lsev ier .com/ locate /eco lmodel Assessing the effects of pseudo-absences on predictive distribution model performance”
Threshold criteria for conversion of probability of species presence to either–or presence–absence (2007, background): “…on species distribution (Teixeira and Arntzen, 2002; Thuiller et al., 2005; Araújo et al., 2006), and to develop management decisions and conservation strategies (Godown and Peterson, 2000; Schadt et al., 2002; Barbosa et al., 2003; Meggs et al., 2004; Russell et al., 2004; Chefaoui et al., 2005).”
Modelling distribution and abundance with presence‐only data (2006, methodology): “ uses factor analysis to quantify the environmental conditions of the presence sites by comparing them to the environmental conditions of the entire region of interest, and predictions are provided as a habitat suitability index (Hirzel et al. 2002; Dettki, Lofstrand & Edenius 2003; Reutter et a”
The effect of prevalence and its interaction with sample size on the reliability of species distribution models (2009, background): “…in biogeography, paleoecology, evolution, and conservation (e.g., Peterson et al. 1999, Anderson et al. 2002a,b, Schadt et al. 2002, Barbosa et al. 2003, Peterson and Holt 2003, Chefaoui et al. 2005, Jiménez-Valverde and Lobo 2007a, Jiménez-Valverde et al. 2007, 2008a, Nogués-Bravo et al. 2008).”
Modelling ecological niches from low numbers of occurrences: assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents (2007, background): “…ecological niche modelling (ENM) have explored applications to diverse conservation issues, including suitable habitat and species range estimates (Chefaoui et al ., 2005; Gaubert et al ., 2006; Guisan et al ., 2006), protected area prioritization and network design (Margules & Austin, 1994;…”
Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis (2008, unknown): “It can also be used to assess the habitat loss and fragmentation (Ciarniello et al., 2003), to estimate the population size, and to simulate spatial population dynamics (Mladenoff et al., 1995; Fielding and Bell, 1997).”
The ghost of unbalanced species distribution data in geographical model predictions (2006, background): “…distribution (Peterson, 2003; Thuiller et al ., 2005a), to assess the possible impact of biological invasions (Rouget et al ., 2004; Thuiller et al ., 2005b), and to aid management in taking decisions (Schadt et al ., 2002; Barbosa et al ., 2003; Russell et al ., 2004; Chefaoui et al ., 2005).”
Habitat suitability modelling and niche theory (2008, unknown): “2003; Chefaoui, Hortal & Lobo 2005).”