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Cited by 431

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Biodiversity informatics: managing and applying primary biodiversity data

Open access
Soberón, Jorge, Peterson, Townsend·2004·Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences

Abstract

Recently, advances in information technology and an increased willingness to share primary biodiversity data are enabling unprecedented access to it. By combining presences of species data with electronic cartography via a number of algorithms, estimating niches of species and their areas of distribution becomes feasible at resolutions one to three orders of magnitude higher than it was possible a few years ago. Some examples of the power of that technique are presented. For the method to work, limitations such as lack of high-quality taxonomic determination, precise georeferencing of the data and availability of high-quality and updated taxonomic treatments of the groups must be overcome. These are discussed, together with comments on the potential of these biodiversity informatics techniques not only for fundamental studies but also as a way for developing countries to apply state of the art bioinformatic methods and large quantities of data, in practical ways, to tackle issues of biodiversity management.

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Crossref · 10.1098/rstb.2003.1439

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Metadata

Authors
Soberón, J., & Peterson, T.
Venue
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
Published
2004-04-29
Volume
359
Issue
1444
Pages
689-698
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2121744618
Cited by
431
References
2
FWCI
12.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biodiversity informatics: managing and applying primary biodiversity data. https://app.cochat.ai/papers/10.1098/rstb.2003.1439
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Soberón, J., & Peterson, T. (2004). Biodiversity informatics: managing and applying primary biodiversity data. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences. https://doi.org/10.1098/rstb.2003.1439

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.