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Modeling plant competition along an environmental gradient
Institution:1. Department of Ecoscience, University of Aarhus, Silkeborg, Denmark;2. Department of Ecohydrology and Biogeochemistry, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany;3. Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany;1. School of Mathematics and Applied Statistics, University of Wollongong, Australia;2. Laboratoire de Mathématiques Nicolas Oresme, Université de Caen Normandie, France;3. Institute of Cybersecurity and Cryptology, School of Computing and Information Technology, University of Wollongong, Australia;1. Marine Institute, Rinville, Oranmore, Co. Galway, Ireland;2. Faculdade de Ciências, Universidade de Lisboa, Edifício C6, Campo Grande, 1749-016 Lisbon, Portugal;3. Instituto Português do Mar e da Atmosfera, Av. Brasilia, 1449-006 Lisboa, Portugal;4. CCMAR, Campus de Gambelas, 8005-339 Faro, Portugal
Abstract:The effect of an environmental gradient on inter-specific plant competitive interactions is modeled in a simple empirical model with biologically interpretable parameters. The model allows testing of hypotheses on the effect of the gradient on plant competitive interactions, as well as making ecological predictions from simple competition experiments using standard statistical procedures. The model, which is general and can be applied to different abiotic and biotic environmental gradients, is applied to a specific case of two competing Arabidopsis thaliana genotypes along a gradient of the general fungal pathogen Peronospora parasitica. One of the A. thaliana genotype is susceptible to the fungal pathogen P. parasitica and the other genotype is resistant. The Bayesian posterior distribution of the probability that the resistant genotype outcompetes the susceptible genotype is calculated as a function of the pathogen level. The design of the studied A. thaliana competition experiments is the minimum required experimental design needed to apply the model.
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