Fine-scale spatial structure in a grassland community: quantifying the plant's-eye view

D W Purves, R Law

Research output: Contribution to journalArticlepeer-review

Abstract

1 The fine-scale spatial patterns of Agrostis stolonifera, Holcus lanatus and Lolium perenne were recorded in an English lowland grassland as presence/absence maps from 400-cell quadrats at two different scales (2 x 2 cm or 8 x 8 cm cells).

2 Local spatial structure in these patterns was quantified using spatial covariance functions. Distance- and direction-dependent components were examined separately for both intra- and interspecific patterns. The significance of departures from randomness was determined using Monte Carlo techniques.

3 The smaller-scale data showed that all three species were significantly aggregated, Agrostis to a greater distance (8 cm) than Holcus or Lolium (4 cm). The intensity of aggregation decreased in the order Lolium > Holcus > Agrostis. The larger-scale data suggested that this aggregation extended to greater distances, and that it was most intense in Agrostis.

4 Despite the lack of visual directionality in the environment, Agrostis showed a directional pattern at both scales, with Lolium varying in the same direction at the larger scale.

5 Only Agrostis and Lolium showed a significant interspecific relationship (segregated to 2 cm at the small scale, but aggregated to 8 cm at the larger scale). There was no evidence of directionality in the interspecific components of pattern.

6 The nature of spatial structure appears to depend on the scale of observation, but the smaller-scale data are more likely to provide a biologically interpretable measure of local spatial structure in this community.

Original languageEnglish
Pages (from-to)121-129
Number of pages9
JournalJournal of ecology
Volume90
Issue number1
Publication statusPublished - Feb 2002

Keywords

  • anisotropy
  • plant community dynamics
  • spatial aggregation
  • spatial covariance functions
  • spatial pattern
  • SOIL HETEROGENEITY
  • MOMENT EQUATIONS
  • WHITE CLOVER
  • PATTERN
  • VEGETATION
  • COMPETITION
  • DYNAMICS
  • MODELS
  • ORGANIZATION
  • DEPENDENCE

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