Skip to main content

Climate-based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna

Buy Article:

$43.00 plus tax (Refund Policy)

Abstract Aim 

Identifying areas of high species richness is an important goal of conservation biogeography. In this study we compared alternative methods for generating climate-based estimates of spatial patterns of butterfly and mammal species richness. Location 

Egypt. Methods 

Data on the occurrence of butterflies and mammals in Egypt were taken from an electronic database compiled from museum records and the literature. Using Maxent, species distribution models were built with these data and with variables describing climate and habitat. Species richness predictions were made by summing distribution models for individual species and by modelling observed species richness directly using the same environmental variables. Results 

Estimates of species richness from both methods correlated positively with each other and with observed species richness. Protected areas had higher species richness (both predicted and actual) than unprotected areas. Main conclusions 

Our results suggest that climate-based models of species richness could provide a rapid method for selecting potential areas for protection and thus have important implications for biodiversity conservation.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Keywords: Arid environment; Egypt; Lepidoptera; Mammalia; Maxent; biodiversity monitoring; conservation biogeography; protected areas; species distribution models

Document Type: Research Article

Affiliations: 1: BioMAP Project, Egyptian Environmental Affairs Agency, Maadi, Cairo 2: School of Biology, University of Nottingham, University Park, Nottingham, UK

Publication date: 2009-11-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more