2010
DOI: 10.4322/natcon.00801004
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Deriving Species Richness, Endemism, and Threatened Species Patterns from Incomplete Distribution Data in the Bioko Island, Equatorial Guinea

Abstract: In general, the strategies for biological diversity conservation and the design of protected areas have been developed with environmental information as a surrogate for diversity (Hortal and Lobo 2006). However, this does not necessarily achieve the goals for conserving the most important target, i.e., the species (Brooks et al. 2004). The spatial distribution of species reflects the variability of the physical environment, as well as the role of historical and demographical factors that determine their popula… Show more

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Cited by 8 publications
(5 citation statements)
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“…Currie ; Zafra‐Calvo et al. ; Giehl & Jarenkow ). However, all these measures of temperature are strongly correlated (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Currie ; Zafra‐Calvo et al. ; Giehl & Jarenkow ). However, all these measures of temperature are strongly correlated (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…After being combined with digital environmental variables through some SDM method, new range maps can be generated for those species for which expert maps are not available. Subsequently, the distribution maps can be overlaid and summed in a predefined point or grid system (hereafter SDM richness map) for studies of species richness patterns, as is usually done with range maps generated by expert opinion (hereafter expert richness map) (La Sorte and Hawkins 2007, Hawkins et al 2008, Zafra‐Calvo et al 2010).…”
mentioning
confidence: 99%
“…In addition to examining the effects of the two synthetic climatic factors on species distribution, we also examined the effects of some individual climatic variables on the patterns of species diversity and phylogenetic metrics (see below). Previous studies showed that major temperature‐related variables include mean annual temperature (MAT), temperature seasonality (TSN) and minimum temperature of the coldest month (Tmin) (Currie, 2001; Zafra‐Calvo et al, 2010). And major precipitation‐related variables include annual precipitation (AP), precipitation of the driest month (PDM) and precipitation seasonality (PSN) (Qian et al, 2017).…”
Section: Methodsmentioning
confidence: 99%