Modeling the Spatial Distribution and Fruiting Pattern of a Key Tree Species in a Neotropical Forest: Methodology and Potential Applications
| dc.creator | Caillaud, Damien | en |
| dc.creator | Crofoot, Margaret C. | en |
| dc.creator | Scarpino, Samuel V. | en |
| dc.creator | Jansen, Patrick A. | en |
| dc.creator | Garzon-Lopez, Carol X. | en |
| dc.creator | Winkelhagen, Annemarie J. S. | en |
| dc.creator | Bohlman, Stephanie A. | en |
| dc.creator | Walsh, Peter D. | en |
| dc.date.accessioned | 2013-06-28T14:59:10Z | en |
| dc.date.available | 2013-06-28T14:59:10Z | en |
| dc.date.issued | 2010-11-22 | en |
| dc.description | Damien Caillaud is with UT Austin and Max Planck Institute for Evolutionary Anthropology; Margaret C. Crofoot is with the Smithsonian Tropical Research Institute, Max Planck Institute for Ornithology, and Princeton University; Samuel V. Scarpino is with UT Austin; Patrick A. Jansen is with the Smithsonian Tropical Research Institute, Wageningen University, and University of Groningen; Carol X. Garzon-Lopez is with University of Groningen; Annemarie J. S. Winkelhagen is with Wageningen University; Stephanie A. Bohlman is with Princeton University; Peter D. Walsh is with VaccinApe. | en |
| dc.description.abstract | Background -- The movement patterns of wild animals depend crucially on the spatial and temporal availability of resources in their habitat. To date, most attempts to model this relationship were forced to rely on simplified assumptions about the spatiotemporal distribution of food resources. Here we demonstrate how advances in statistics permit the combination of sparse ground sampling with remote sensing imagery to generate biological relevant, spatially and temporally explicit distributions of food resources. We illustrate our procedure by creating a detailed simulation model of fruit production patterns for Dipteryx oleifera, a keystone tree species, on Barro Colorado Island (BCI), Panama. Methodology and Principal Findings -- Aerial photographs providing GPS positions for large, canopy trees, the complete census of a 50-ha and 25-ha area, diameter at breast height data from haphazardly sampled trees and long-term phenology data from six trees were used to fit 1) a point process model of tree spatial distribution and 2) a generalized linear mixed-effect model of temporal variation of fruit production. The fitted parameters from these models are then used to create a stochastic simulation model which incorporates spatio-temporal variations of D. oleifera fruit availability on BCI. Conclusions and Significance -- We present a framework that can provide a statistical characterization of the habitat that can be included in agent-based models of animal movements. When environmental heterogeneity cannot be exhaustively mapped, this approach can be a powerful alternative. The results of our model on the spatio-temporal variation in D. oleifera fruit availability will be used to understand behavioral and movement patterns of several species on BCI. | en |
| dc.description.department | Biological Sciences, School of | en |
| dc.description.sponsorship | The National Center For Ecological Analysis is supported by NSF Grant DEB-0553768, the University of California Santa Barbara and the State of California. The Forest Dynamics Plots were funded by NSF Grants to Stephen Hubbell DEB-0640386, DEB-0425651, DEB-0346488, DEB-0129874, DEB-00753102, DEB-9909347, DEB-9615226, DEB-9615226, DEB-9405933, DEB-9221033, DEB-9100058, DEB-8906869, DEB-8605042, DEB-8206992, DEB-7922197, and by the Center for Tropical Forest Science, the Smithsonian Tropical Forest Research Institute, The John D. and Catherine T. MacArthur Foundation, the Mellon Foundation and the Celera Foundation. DC is supported by NSF grant DEB-0749097 to L.A. Meyers. SS is supported by an NSF Graduate Research Fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | en |
| dc.identifier.citation | Caillaud D, Crofoot MC, Scarpino SV, Jansen PA, Garzon-Lopez CX, et al. (2010) Modeling the Spatial Distribution and Fruiting Pattern of a Key Tree Species in a Neotropical Forest: Methodology and Potential Applications. PLoS ONE 5(11): e15002. doi:10.1371/journal.pone.0015002 | en |
| dc.identifier.doi | 10.1371/journal.pone.0015002 | en |
| dc.identifier.uri | http://hdl.handle.net/2152/20501 | en |
| dc.language.iso | eng | en |
| dc.publisher | Public Library of Science | en |
| dc.rights | Attribution 3.0 United States | en |
| dc.rights | CC-BY | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | en |
| dc.subject | Agent-based modeling | en |
| dc.subject | Data processing | en |
| dc.subject | Forests | en |
| dc.subject | Habitats | en |
| dc.subject | Kernel functions | en |
| dc.subject | Spatial distribution | en |
| dc.subject | Statistical distributions | en |
| dc.subject | Trees | en |
| dc.title | Modeling the Spatial Distribution and Fruiting Pattern of a Key Tree Species in a Neotropical Forest: Methodology and Potential Applications | en |
| dc.type | Article | en |