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Computational Ecology and Software, 2011, 1(3): 125-137
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Article

Measuring competition in plant communities where it is difficult to distinguish individual plants

Christian Damgaard
Department of Terrestrial Ecology, NERI, Aarhus University, Vejls?vej 25, 8600 Silkeborg, Denmark

Received 3 May 2011; Accepted 10 June 2011; Published online 1 September 2011
IAEES

Abstract
A novel method for measuring plant-plant interactions in undisturbed semi-natural and natural plant communities where it is difficult to distinguish individual plants is discussed. It is assumed that the ecological success of the different plant species in the plant community may be adequately measured by plant cover and vertical density (a measure that is correlated to the 3-dimensional space occupancy and biomass). Both plant cover and vertical density are measured in a standard pin-point analysis in the beginning and at the end of the growing season. In the outlined competition model the vertical density at the end of the growing season is assumed to be a function of the cover of all species at the start of the growing season, and the cover at the start of the growing season is assumed to be a function of the vertical density of all species at the end of the previous growing season. The method allows direct measurements of the competitive effects of neighbouring plants on plant performance and the estimation of parameters that describe the ecological processes of plant-plant interactions during the growing season as well as the process of survival and recruitment between growing seasons. Additionally, the presented method is suited for testing different ecological hypothesis on competitive interactions along environmental gradients, investigating the importance of competition, as well as predicting the likelihood of different ecological scenarios.

Keywords plant-plant interaction; plant community dynamics; pin-point; state-space model; latent variables.



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