Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models

2010 Progress in Physical Geography Earth and Environment 401 citations

Abstract

To conserve biodiversity, it is necessary to understand how species are distributed and which aspects of the environment determine distributions. In large parts of the world and for the majority of species, data describing distributions are very scarce. Museums, private collections and the historical literature offer a vast source of information on distributions. Records of the occurrence of species from these sources are increasingly being captured in electronic databases and made available over the internet. These records may be very valuable in conservation efforts. However, there are a number of limitations with museum data. These limitations are dealt with in the first part of this review. Even if the limitations of museum data can be overcome, these data present a far-from-complete picture of the distributions of species. Species distribution models offer a means to extrapolate limited information in order to estimate the distributions of species over large areas. The second part of this paper reviews the challenges of developing species distribution models for use with museum data and describes some of the questions that species distribution models have been used to address. Given the rapidly increasing number of museum records of species occurrence available over the internet, a review of their usefulness in conservation and ecology is timely.

Keywords

Species distributionDistribution (mathematics)EcologyThe InternetBiodiversityEnvironmental niche modellingData scienceGeographyComputer scienceEnvironmental resource managementWorld Wide WebBiologyHabitatEnvironmental scienceEcological niche

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Year
2010
Type
article
Volume
34
Issue
1
Pages
3-22
Citations
401
Access
Closed

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Tim Newbold (2010). Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models. Progress in Physical Geography Earth and Environment , 34 (1) , 3-22. https://doi.org/10.1177/0309133309355630

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DOI
10.1177/0309133309355630