Using habitat models to map diversity: pan‐African species richness of ticks (Acari: Ixodida)

By Graeme Cumming. 2000

112 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Parasitology

View Paper: https://www.semanticscholar.org/paper/c9af493aa3032423d21d1721ca052c7299237824

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Citations in the corpus

Flea species richness and parameters of host body, host geography and host ‘milieu’ (2004, methodology): “describe these patterns in terrestrial ecosystems have been attempted (Kuris & Blaustein 1977; Cumming 2000; Clayton & Walther 2001; Stanko et al . 2002).”
Profile or group discriminative techniques? Generating reliable species distribution models using pseudo‐absences and target‐group absences from natural history collections (2010, background): “Several authors have shown that interme- diate prevalence provides better models (Fielding & Bell, 1997; Cumming, 2000; Olden et al., 2002; McPherson et al., 2004).”
Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia (2010, background): “Species distribution models (SDM) are probably one of the most promising tools biogeographers have to improve the understanding of biodiversity patterns and their relationship with climate and topography (Cumming, 2000; Bahn and McGill, 2007).”
Including species interactions in risk assessments for global change (2007, methodology): “…or rule-based models to describe species climate envelopes (e.g. Austin, 1987; Busby, 1991; Walker & Cocks, 1991; Carpenter et al., 1993; Rogers & Randolph, 1993; Austin & Meyers, 1996; Cumming, 2000; Guisan & Zimmermann, 2000; Pearson et al., 2002; Peterson et al., 2002; Pyke & Fischer, 2005).”
Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches (2011, methodology): “S-SDMs have already been used to predict current (Cumming, 2000; Parviainen et al., 2009; Pineda & Lobo, 2009) and future (Guisan & Theurillat, 2000b; Algar et al., 2009; Pineda & Lobo, 2009) distributions of SR, community composition (Pineda & Lobo, 2009) and species turnover rates (Thuiller et…”
Latitudinal gradients of parasite species richness in primates (2005, background): “…free-living species, but a few studies focusing on avian, fish and mammalian hosts have shown that direct and indirect measures of parasite pressure and diversity increase closer to the equator (e.g. Poulin & Rohde, 1997; Møller, 1998; Rohde & Heap, 1998; Cumming, 2000; Poulin & Morand, 2004).”
Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity (2010, methodology): “2005), while some, whose research aims were different, expressed concern about minimum sample size (Cumming 2000b; Pearce & Ferrier 2000; Drake et al. 2006; Guisan et al. 2007).”
Biogeographical patterns derived from remote sensing variables: the amphibians and reptiles of the Iberian Peninsula (2009, methodology): “The predicted species density model for each geoclimatic region was calculated with Idrisi Kilimanjaro and was the mathematical addition or sum of all individual PO models of the species belonging to that geoclimatic region (Cumming, 2000; Gioia and Pigott, 2000).”