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Remotely Sensed Data Informs Red List Evaluations and Conservation Priorities in Southeast Asia.

Publication ,  Journal Article
Li, BV; Hughes, AC; Jenkins, CN; Ocampo-Peñuela, N; Pimm, SL
Published in: PloS one
January 2016

The IUCN Red List has assessed the global distributions of the majority of the world's amphibians, birds and mammals. Yet these assessments lack explicit reference to widely available, remotely-sensed data that can sensibly inform a species' risk of extinction. Our first goal is to add additional quantitative data to the existing standardised process that IUCN employs. Secondly, we ask: do our results suggest species of concern-those at considerably greater risk than hitherto appreciated? Thirdly, these assessments are not only important on a species-by-species basis. By combining distributions of species of concern, we map conservation priorities. We ask to what degree these areas are currently protected and how might knowledge from remote sensing modify the priorities? Finally, we develop a quick and simple method to identify and modify the priority setting in a landscape where natural habitats are disappearing rapidly and so where conventional species' assessments might be too slow to respond. Tropical, mainland Southeast Asia is under exceptional threat, yet relatively poorly known. Here, additional quantitative measures may be particularly helpful. This region contains over 122, 183, and 214 endemic mammals, birds, and amphibians, respectively, of which the IUCN considers 37, 21, and 37 threatened. When corrected for the amount of remaining natural habitats within the known elevation preferences of species, the average sizes of species ranges shrink to <40% of their published ranges. Some 79 mammal, 49 bird, and 184 amphibian ranges are <20,000km2-an area at which IUCN considers most other species to be threatened. Moreover, these species are not better protected by the existing network of protected areas than are species that IUCN accepts as threatened. Simply, there appear to be considerably more species at risk than hitherto appreciated. Furthermore, incorporating remote sensing data showing where habitat loss is prevalent changes the locations of conservation priorities.

Duke Scholars

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Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2016

Volume

11

Issue

8

Start / End Page

e0160566

Related Subject Headings

  • Research
  • Remote Sensing Technology
  • Mammals
  • Information Storage and Retrieval
  • Geographic Information Systems
  • General Science & Technology
  • Extinction, Biological
  • Environmental Monitoring
  • Endangered Species
  • Ecosystem
 

Citation

APA
Chicago
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Li, B. V., Hughes, A. C., Jenkins, C. N., Ocampo-Peñuela, N., & Pimm, S. L. (2016). Remotely Sensed Data Informs Red List Evaluations and Conservation Priorities in Southeast Asia. PloS One, 11(8), e0160566. https://doi.org/10.1371/journal.pone.0160566
Li, Binbin V., Alice C. Hughes, Clinton N. Jenkins, Natalia Ocampo-Peñuela, and Stuart L. Pimm. “Remotely Sensed Data Informs Red List Evaluations and Conservation Priorities in Southeast Asia.PloS One 11, no. 8 (January 2016): e0160566. https://doi.org/10.1371/journal.pone.0160566.
Li BV, Hughes AC, Jenkins CN, Ocampo-Peñuela N, Pimm SL. Remotely Sensed Data Informs Red List Evaluations and Conservation Priorities in Southeast Asia. PloS one. 2016 Jan;11(8):e0160566.
Li, Binbin V., et al. “Remotely Sensed Data Informs Red List Evaluations and Conservation Priorities in Southeast Asia.PloS One, vol. 11, no. 8, Jan. 2016, p. e0160566. Epmc, doi:10.1371/journal.pone.0160566.
Li BV, Hughes AC, Jenkins CN, Ocampo-Peñuela N, Pimm SL. Remotely Sensed Data Informs Red List Evaluations and Conservation Priorities in Southeast Asia. PloS one. 2016 Jan;11(8):e0160566.

Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2016

Volume

11

Issue

8

Start / End Page

e0160566

Related Subject Headings

  • Research
  • Remote Sensing Technology
  • Mammals
  • Information Storage and Retrieval
  • Geographic Information Systems
  • General Science & Technology
  • Extinction, Biological
  • Environmental Monitoring
  • Endangered Species
  • Ecosystem