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Primary productivity and species richness: relationships among functional guilds, residency groups and vagility classes at multiple spatial scales

Authors

  • S.-A. Bailey,

  • M. C. Horner-Devine,

  • G. Luck,

  • L. A. Moore,

  • K. M. Carney,

  • S. Anderson,

  • C. Betrus,

  • E. Fleishman


S.-A. Bailey (sallie.bailey@forestry.gsi.gov.uk), Forestry Commission, 231 Corstorphine Rd, Edinburgh, U. K. EH12 7AT. – M. C. Horner-Devine, L. A. Moore, S. Anderson and E. Fleishman, Dept of Biological Sciences, 371 Serra Mall, Stanford Univ., Stanford, CA 94305-5020, USA. – G. Luck, The Johnstone Centre, School of Environmental and Information Sciences, Charles Sturt Univ., Albury, NSW 2640, Australia. – K. M. Carney, Dept of Geological and Environmental Sciences, Stanford Univ., Stanford, CA 94305, USA. – C. Betrus, Dept of Zoology, Miami Univ., Oxford, OH 45056, USA.

Abstract

One of the major determinants of species richness is the amount of energy available, often measured as primary productivity. Heterogeneity of environmental variables has also been found to influence species richness. Predicting species distributions across landscapes and identifying areas that have high species richness, or vulnerable groups of species, is useful for land management. Remotely sensed data may help identify such areas, with the Normalized Difference Vegetation Index (NDVI) providing an estimate of primary productivity. We examined the relationship between maximum productivity (NDVI), heterogeneity of productivity, and species richness of birds and butterflies at multiple spatial scales. We also explored relationships between productivity, functional guilds and residency groups of birds, and vagility classes of butterflies. Positive linear relationships between maximum NDVI and number of functional guilds of birds were found at two spatial scales. We also found positive linear relationships between maximum NDVI and species richness of neotropical migrant birds at two scales. Heterogeneity of NDVI, by contrast, was negatively associated with number of functional guilds of birds and species richness of resident birds. Maximum NDVI was associated with species richness of all butterflies and of the most vagile butterflies. No association was found between heterogeneity of NDVI and species richness of butterflies. In the Great Basin, where high greenness and availability of water correspond to areas of high species richness and maximum NDVI, our results suggest that NDVI can provide a reliable basis for stratifying surveys of biodiversity, by highlighting areas of potentially high biodiversity across large areas. Measures of heterogeneity of NDVI appear to be less useful in explaining species richness.

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