Biodiversity & Conservation

, Volume 11, Issue 7, pp 1237–1246 | Cite as

Robustness of ecological niche modeling algorithms for mammals in Guyana

  • Burton K. Lim
  • A. Townsend Peterson
  • Mark D. Engstrom
Article

Abstract

The genetic algorithm for rule-set prediction (GARP) has beensuccessfully used in modeling species' distributions with environmental data forwell-studied birds in the United States and elsewhere. GARP's efficiency hasbeen demonstrated to be robust even with incomplete occurrence and geographicdata. Thorough biological sampling in conjunction with comprehensive geographicinformation, however, is not the norm for many tropical areas where mostbiodiversity occurs. Mammals from Guyana were used as a test of the robustnessof these approaches in a worst-case scenario of uneven sampling combined withcoarse geographic data. The occurrence of species in poorly surveyed regions,such as the Pakaraima Highlands of west-central Guyana, was consistentlyunder-predicted, whereas presence in well-surveyed areas such as thesouthwestern Rupununi was usually correctly predicted. Comparisons of numbersof species and specimens collected also indicate that lowland forests in thesoutheast and coastal forests in the northwest are under-sampled. For robustdistributional predictions in Guyana, more thorough inventories are needed inthese diverse environments.

Bats GARP Guyana Mammals Species' distributions 

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References

  1. Beebe W. 1925. Studies of a tropical jungle; one quarter of a square mile of jungle at Kartabo, British Guiana. Zoologica 6: 5-193.Google Scholar
  2. Emmons L.H. 1984. Geographic variation in densities and diversities of non-flying mammals in Amazonia. Biotropica 16: 210-222.Google Scholar
  3. Engstrom M.D. and Lim B.K. 2000. Checklist of the Mammals of Guyana. Smithsonian Institution, Washington, DC, http: / /www.mnh.si.edu/ biodiversity /bdg/guymammals.html.Google Scholar
  4. Engstrom M.D. and Lim B.K. 2002. Diversity and conservation of the mammals from Guyana. In: Cabellos G.Y. and Simonetti J. (eds), Ecologáa y conservación de los mamáferos de Latinoamérica. Fondo de Cultura Economica, México, DF (in press).Google Scholar
  5. ESRI (1998) ArcAtlas. Environmental Systems Research Institute, Redlands, California.Google Scholar
  6. Funk V.A., Zermoglio M.F. and Nasir N. 1999. Testing the use of specimen collection data and GIS in biodiversity exploration and conservation decision making in Guyana. Biodiversity and Conservation 9: 727-751.Google Scholar
  7. Godown M.E. and Peterson A.T. 2000. Preliminary distributional analysis of US endangered bird species. Biodiversity and Conservation 9: 1313-1322.Google Scholar
  8. Grinnell J. 1917. Field tests of theories concerning distributional control. American Naturalist 51: 115-128.Google Scholar
  9. Huber O., Gharbarren G. and Funk V. 1995. Vegetation Map of Guyana (preliminary version). Centre for the Study of Biological Diversity, University of Guyana, Georgetown.Google Scholar
  10. Lim B.K. and Engstrom M.D. 2001. Species diversity of bats (Mammalia: Chiroptera) in Iwokrama Forest, Guyana, and the Guianan subregion: implications for conservation. Biodiversity and Conservation 10: 613-657.Google Scholar
  11. Lim B.K., Engstrom M.D., Timm R.M., Anderson R.P. and Watson L.C. 1999. First records of 10 bat species in Guyana and comments on diversity of bats in Iwokrama Forest. Acta Chiropterologica 1: 179-190.Google Scholar
  12. Nix H.A. 1986. A biogeographic analysis of Australian elapid snakes. In: Atlas of Australian Elapid Snakes. Bureau of Flora and Fauna, Canberra, pp. 4-15.Google Scholar
  13. Parker T.A. III, Foster R.B., Emmons L.H., Freed P., Forsyth A., Hoffman B. et al. 1993. A biological assessment of the Kanuku Mountain region of southwestern Guyana. Rapid Assessment Program Working Papers. Conservation International 5: 1-70.Google Scholar
  14. Peterson A.T. 2001. Predicting species' geographic distributions based on ecological niche modeling. Condor 103: 599-605.Google Scholar
  15. Peterson A.T. and Cohoon K.P. 1999. Sensitivity of distributional prediction algorithms to geographic data completeness. Ecological Modelling 117: 159-164.Google Scholar
  16. Peterson A.T., Ball L.G. and Cohoon K.P. 2002. Predicting distributions of Mexican birds using ecological niche modeling methods. Ibis 144: E27.Google Scholar
  17. Peterson A.T., Navarro-Sigüenza A.G. and Benítez-Díaz H. 1998. The need for continued scientific collecting: a geographic analysis of Mexican bird specimens. Ibis 140: 288-294.Google Scholar
  18. Peterson A.T., Soberón J. and Sánchez-CorderoV. 1999. Conservatism of ecological niches in evolutionary time. Science 285: 1265-1267.Google Scholar
  19. Scott J.M., Tear T.H. and Davis F.W. 1996. Gap Analysis: A Landscape Approach to Biodiversity Planning. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.Google Scholar
  20. Stockwell D.R.B. and Noble I.R. 1992. Induction of sets of rules from animal distribution data: a robust and informative method of data analysis. Mathematical and Computer Simulation 33: 385-390.Google Scholar
  21. Stockwell D.R.B. and Peters D. 1999. The GARP modeling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Science 13: 143-158.Google Scholar
  22. Stockwell D.R.B. and Peterson A.T. 2002. Using biodiversity data efficiently: sample size requirements for modeling ecological niches using surrogate and multivariate methods. In: Scott J.M. (ed.), Predicting Species Occurrences. Island Press, Washington, DC (in press).Google Scholar
  23. Ter Steege H. 1998. The use of forest inventory data for a national protected area strategy in Guyana. Biodiversity and Conservation 7: 1457-1483.Google Scholar
  24. Ter Steege H., Jansen-Jacobs M.J. and Datadin V.K. 2000. Can botanical collections assist in a national protected area strategy in Guyana? Biodiversity and Conservation 9: 215-240.Google Scholar
  25. Voss R.S. and Emmons L.H. 1996. Mammalian diversity in neotropical lowland rainforests: a preliminary assessment. Bulletin of the American Museum of Natural History 230: 1-115.Google Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Burton K. Lim
    • 1
  • A. Townsend Peterson
    • 2
  • Mark D. Engstrom
    • 1
  1. 1.Royal Ontario MuseumCentre for Biodiversity and Conservation BiologyTorontoCanada
  2. 2.Natural History Museum and Biodiversity Research CenterThe University of KansasLawrenceUSA

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