Wetland vegetation distribution modelling for the identification of constraining environmental variables |
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| Authors: | J. Peters N. E. C. Verhoest R. Samson P. Boeckx B. De Baets |
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| Affiliation: | (1) Laboratory of Hydrology and Water Management, Ghent University, Coupure Links 653, 9000 Gent, Belgium;(2) Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium;(3) Department of Applied Analytical and Physical Chemistry, Ghent University, Coupure Links 653, 9000 Gent, Belgium;(4) Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Gent, Belgium |
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| Abstract: | Wetland ecosystems are of primary concern for nature conservation and restoration. Adequate conservation and restoration strategies emerge from a scientific comprehension of wetland properties and processes. Hereby, the understanding of plant species and vegetation patterns in relation to environmental gradients is an important issue. The modelling approaches in this study statistically relate vegetation patterns to measured environmental gradients in a lowland wetland ecosystem. Measured environmental gradients included groundwater quantity and quality aspects, soil properties and vegetation management. Among this variety, the objective was to identify the key environmental gradients constraining the vegetation, using recently developed methodologies within the modelling approaches. Comparison of results indicated that different environmental gradients were considered to be important by different methodologies. |
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| Keywords: | Vegetation Model Distribution Pattern Random forest Logistic regression Variable importance Hierarchical partitioning Wetland Groundwater |
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