The data void in modeling current and future distributions of tropical species

Kenneth Feeley, Miles R. Silman

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

Conserving biodiversity in the face of climate change requires a predictive ecology of species distributions. Nowhere is this need more acute than in the tropics, which harbor the majority of Earth's species and face rapid and large climate and land-use changes. However, the study of species distributions and their responses to climate change in high diversity tropical regions is potentially crippled by a lack of basic data. We analyzed a database representing more than 800 000 unique geo-referenced natural history collections to determine what fraction of tropical plant species has sufficient numbers of available collections for use in the habitat or niche models commonly used to predict species responses to climate change. We found that more than nine out of 10 species from the three principle tropical realms are so poorly collected (n < 20 records) that they are essentially invisible to modern modeling and conservation tools. In order to predict the impact of climate change on tropical species, efforts must be made to increase the amount of data available from tropical countries through a combination of collecting new specimens and digitizing existing records.

Original languageEnglish (US)
Pages (from-to)626-630
Number of pages5
JournalGlobal Change Biology
Volume17
Issue number1
DOIs
StatePublished - Jan 1 2011
Externally publishedYes

Fingerprint

Climate change
void
modeling
climate change
Tropics
Biodiversity
Ecology
Ports and harbors
Land use
Conservation
Earth (planet)
tropical region
land use change
distribution
niche
harbor
biodiversity
ecology
climate
habitat

Keywords

  • Bioclimatic niche envelope
  • Climate change
  • Conservation biogeography
  • Habitat modeling
  • Natural history collections
  • Species migrations
  • Tropical plants

ASJC Scopus subject areas

  • Ecology
  • Global and Planetary Change
  • Environmental Science(all)
  • Environmental Chemistry

Cite this

The data void in modeling current and future distributions of tropical species. / Feeley, Kenneth; Silman, Miles R.

In: Global Change Biology, Vol. 17, No. 1, 01.01.2011, p. 626-630.

Research output: Contribution to journalArticle

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