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Predicting species distributions across the Amazonian and Andean regions using remote sensing data

  1. Wolfgang Buermann1,*,
  2. Sassan Saatchi1,2,
  3. Thomas B. Smith1,3,
  4. Brian R. Zutta1,3,
  5. Jaime A. Chaves1,3,
  6. Borja Milá1,3,
  7. Catherine H. Graham4

Article first published online: 14 JUL 2008

DOI: 10.1111/j.1365-2699.2007.01858.x

Issue

Journal of Biogeography

Journal of Biogeography

Volume 35, Issue 7, pages 1160–1176, July 2008

Additional Information

How to Cite

Buermann, W., Saatchi, S., Smith, T. B., Zutta, B. R., Chaves, J. A., Milá, B. and Graham, C. H. (2008), Predicting species distributions across the Amazonian and Andean regions using remote sensing data. Journal of Biogeography, 35: 1160–1176. doi: 10.1111/j.1365-2699.2007.01858.x

Author Information

  1. 1

    Center for Tropical Research, UCLA Institute of Environment, University of California, Los Angeles, CA, USA

  2. 2

    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA

  3. 3

    Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA

  4. 4

    Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA

* *Wolfgang Buermann, Center for Tropical Research, UCLA Institute of Environment, University of California, Los Angeles, La Kretz Hall, Suite 300, 619 Charles E. Young Dr. East, Los Angeles, CA 90095-1496, USA. E-mail: buermann@ucla.edu

Publication History

  1. Issue published online: 14 JUL 2008
  2. Article first published online: 14 JUL 2008

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Table S1 Source information on occurence data for the two focal bird species

Figure S1 Point localities for B. variegatus and its predicted potential geographic distribution with the three predictor sets CLIME, RSE, and CLIMERS.

Figure S2 Point localities for Mi. minutus and its predicted potential geographic distribution with the three predictor sets CLIME, RSE, and CLIMERS.

Figure S3 Point localities for Cal. brasiliensis and its predicted potential geographic distributions with the three predictor sets CLIME, RSE, and CLIMERS.

Figure S4 Point localities for Car. guianensis and its predicted potential geographic distribution with the three predictor sets CLIME, RSE, and CLIMERS.

Figure S5 Point localities for Ma. bidentata and its predicted potential geographic distribution with the three predictor sets CLIME, RSE, and CLIMERS.

Figure S6 Point localities for V. surinamensis and its predicted potential geographic distribution with the three predictor sets CLIME, RSE, and CLIMERS.

Figure S7 Results of a jackknife test of variable importance for the six non-focal species, two mammals (B. variegates and Mi. minutus) and four trees (Cal. brasiliensis, Car. guianensis, Ma. bidentata and V. surinamensis), in the CLIMERS scenario using all point localities.

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