A new class of models of spatial distribution

Erin Conlisk, Michael Bloxham, John Conlisk, Brian Enquist, John Harte

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

We analyze a new class of models of spatial distribution, developing mathematical properties and performing empirical tests. The models are based on a simple colonization rule operating on a rectangular grid. Two special cases within the class are traditional random placement and negative binomial models. Over three large data sets, these two cases are strongly outperformed by more flexible models within the class, in particular, models that allow more general patterns of aggregation. The models are simple and broadly applicable, with only one adjustable parameter, representing aggregation. Shortcomings of the colonization rule are studied, and extensions and applications of the models are discussed.

Original languageEnglish (US)
Pages (from-to)269-284
Number of pages16
JournalEcological Monographs
Volume77
Issue number2
DOIs
StatePublished - May 1 2007

Keywords

  • Aggregation
  • Colonization
  • Negative binomial
  • Serpentine grassland
  • Spatial distribution
  • Tropical forest

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

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    Conlisk, E., Bloxham, M., Conlisk, J., Enquist, B., & Harte, J. (2007). A new class of models of spatial distribution. Ecological Monographs, 77(2), 269-284. https://doi.org/10.1890/06-0122