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Multivariate mapping of spatial variation in biodiversity in Peruvian Amazonia

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Abstract.

Variation of biodiversity over 72 600 km2 of tropical rain forest was mapped by multiple characteristics using a new combined nominal–numerical classification system. Three hundred and sixty-nine tree genera were grouped into classes by eight taxonomic, geographical, phylogenetic and ecological characteristics. Each grid cell was assigned to a nominal biodiversity type by its dominant classes and classified numerically by its share of total variation in study area biodiversity. Differentiation of 0.5° cells by nominal classification was inferior to numerical classification, but improved at higher resolution. The nominal and numerical classifications were shown to have potential for complementary roles in conservation planning.
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Keywords: Amazonia; biodiversity classification; biodiversity mapping; biodiversity representation; conservation planning; nominal–numerical classification

Document Type: Research Article

Affiliations:  School of Geography, University of Leeds, Leeds LS2 9JT, U.K., Email: [email protected]

Publication date: 01 May 2003

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