Success of spatial statistics in determining underlying process in simulated plant communities

Calum Brown*, Janine B. Illian, David F R P Burslem

*Corresponding author for this work

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Spatial statistics are widely used in studies of ecological processes in plant communities, especially to provide evidence of neutral or non-neutral mechanisms that might support species coexistence. The contribution of such statistics has been substantial, but their ability to identify any links between underlying processes and emergent patterns is not certain. We investigate the ability of a number of spatial statistics to distinguish theorized mechanisms of species coexistence (spatial and temporal niche differentiation, neutrality, the Janzen-Connell effect and heteromyopia) in a simulated plant community. We find that individual statistics differ substantially in their sensitivity to these mechanisms, with those based on nearest neighbour species identities being the most sensitive. These differences are largely robust to changes in the strength of the modelled mechanisms when simulated independently and in combination. The spatial signal of niche differentiation is always distinct in simulations that combine mechanisms. Synthesis. We describe full spatial signals of modelled coexistence mechanisms that are observed consistently across statistics and simulated strengths and combinations of mechanisms, and identify a set of spatial statistics that holds particular promise for empirical studies designed to investigate mechanisms of these kinds. Spatial statistics are often used to investigate the ecology and diversity of plant communities. We simulate several processes that can generate high levels of species diversity, and assess their detectability using a range of statistics based on distinct spatial information. We describe theoretical spatial consequences of these processes alone and in combination, and identify statistics with particular empirical promise. Journal of Ecology

Original languageEnglish
Pages (from-to)160-172
Number of pages13
JournalJournal of Ecology
Volume104
Issue number1
Early online date18 Nov 2015
DOIs
Publication statusPublished - 1 Jan 2016

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plant community
plant communities
statistics
coexistence
niche
niches
ecology
species diversity
synthesis
simulation

Keywords

  • Coexistence mechanisms
  • Determinants of plant community diversity and structure
  • Environmental niche
  • Heteromyopia
  • Individual species-area relationship
  • Janzen-Connell
  • Lottery model
  • Neutral theory
  • Point pattern
  • Spatial Simpson index

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Plant Science

Cite this

Success of spatial statistics in determining underlying process in simulated plant communities. / Brown, Calum; Illian, Janine B.; Burslem, David F R P.

In: Journal of Ecology, Vol. 104, No. 1, 01.01.2016, p. 160-172.

Research output: Contribution to journalArticle

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