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1 April 2003 A test for spatial relationships between neighbouring plants in plots of heterogeneous plant density
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Abstract

Maps of plant individuals in (x, y) coordinates (i.e. point patterns) are currently analysed through statistical methods assuming a homogeneous distribution of points, and thus a constant density within the study area. Such an assumption is seldom met at the scale of a field plot whilst delineating less heterogeneous subplots is not always easy or pertinent. In this paper we advocate local tests carried out in quadrats partitioning the plot and having a size objectively determined via a trade-off between squared bias and variance. In each quadrat, the observed pattern of points is tested against complete spatial randomness (CSR) through a classical Monte-Carlo approach and one of the usual statistics. Local tests yield maps of p-values that are amenable to diversified subsequent analyses, such as computation of a variogram or comparison with covariates. Another possibility uses the frequency distribution of p-values to test the whole point pattern against the null hypothesis of an inhomogeneous Poisson process. The method was demonstrated by considering computer-generated inhomogeneous point patterns as well as maps of woody individuals in banded vegetation (tiger bush) in semi-arid West Africa. Local tests proved able to properly depict spatial relationships between neighbours in spite of heterogeneity/clustering at larger scales. The method is also relevant to investigate interaction between density and spatial pattern in the presence of resource gradients.

Abbreviations: CSR = complete spatial randomness; IPP = inhomogeneous Poisson process.

Nomenclature: Hutchinson & Dalziel (1954–1972).

Pierre Couteron, Josiane Seghieri, and Joël Chadœuf "A test for spatial relationships between neighbouring plants in plots of heterogeneous plant density," Journal of Vegetation Science 14(2), 163-172, (1 April 2003). https://doi.org/10.1658/1100-9233(2003)014[0163:ATFSRB]2.0.CO;2
Received: 19 December 2001; Accepted: 19 October 2002; Published: 1 April 2003
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