4.0 Article

A model-based method for estimating effective dispersal distance in tropical plant populations

Journal

THEORETICAL POPULATION BIOLOGY
Volume 77, Issue 4, Pages 219-226

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.tpb.2010.02.004

Keywords

Effective dispersal distance; Spatial model; Barro Colorado Island

Funding

  1. Natural Sciences and Engineering Research Council of Canada
  2. Canada Research Chairs Program
  3. Canadian Foundation for Innovation
  4. National Science Foundation [DEB-0640386, DEB-0425651, DEB-0346488, DEB-0129874, DEB-00753102, DEB-9909347, DEB-9615226, DEB-9405933, DEB-9221033, DEB-9100058, DEB-8906869, DEB-8605042, DEB-8206992, DEB-7922197]
  5. Center for Tropical Forest Science
  6. Smithsonian Tropical Research Institute
  7. John D. and Catherine T. MacArthur Foundation
  8. Mellon Foundation
  9. Celera Foundation

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Dispersal is a key mechanism to help populations propagate across space and thus is important in helping to understand spatial patterns. However, it is often difficult to quantify empirically as it requires intensive and detailed field study. Here we describe a method for estimating the effective dispersal distance of tropical plant populations. The method integrates a simple spatially explicit, individual-based dynamic model and spatial statistical analysis. The model is partly parameterized from spatial point pattern data as well as time series data from a 50 ha tropical forest plot in Barro Colorado Island (BCI) in Panama. Correlation between our estimated dispersal distances and those from inverse modeling based on field studies to date on BCI raises some questions about the match between our methods and those previously used. The method we propose can be generalized to any population for which spatial point pattern data are available. Additional field studies would be useful to further validate our method. Crown Copyright (C) 2010 Published by Elsevier Inc. All rights reserved.

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