A synecological framework for systematic conservation planning

Authors

  • Joaquín Hortal Center for Macroecology, University of Copenhagen
  • Jorge M Lobo Museo Nacional ciencias Naturales

DOI:

https://doi.org/10.17161/bi.v3i0.26

Keywords:

biodiversity, conservation biogeography, predictive modelling, Systematic Conservation Planning

Abstract

Biodiversity conservation design, though difficult with fragmentary or insufficient biological data, can be planned and evaluated with several methods. One of them, the complementarity criterion, is commonly used nowadays to deal with the distribution of number of species (i.e., an autoecological approach). At the same time, the patchiness and spatial bias of available distribution data has also been dealt with through distribution modelling. However, both the uncertainty of the ranges estimated, and the changes in species distribution in response to changing climates, limit single-species the biodiversity attribute to be used in complementarity strategies. Several technical and theoretical advantages of composite biodiversity variables (i.e., a synecological approach) may, however, make them ideal biodiversity indicators for conservation area selection. The drawbacks associated with current biodiversity data are discussed herein, along with the possible advantages and disadvantages of conservation planning through a synecological or autoecological approach.

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Author Biography

  • Jorge M Lobo, Museo Nacional ciencias Naturales
    I am devoted to the study of factors related with the geographical variuation of biodiversity attributes and also to the study of predictive modelling techniques able to forescast the distribution of biodiversity attributes or individual species distributions.

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Published

2006-10-15

Issue

Section

Articles (peer-reviewed)

How to Cite

Hortal, Joaquín, and Jorge M Lobo. 2006. “A Synecological Framework for Systematic Conservation Planning”. Biodiversity Informatics 3 (October). https://doi.org/10.17161/bi.v3i0.26.