Importance of spatially distributed hydrologic variables for land use change modeling |
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| Affiliation: | 1. Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, 32000 Haifa, Israel;2. Israel Oceanographic and Limnological Research Ltd., The Yigal Allon Kinneret Limnological Laboratory, P.O. Box 447, Migdal 14950, Israel;3. MIGAL and Tel-Hai College, Dept. of Environmental Sciences, Upper Galilee 12210, Israel;4. Hydrologic Research Center, 12780 High Bluff Dr., Suite 250, San Diego, CA 92130, USA;1. Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany;3. Department of Hydrobiology, Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University in Poznan, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland |
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| Abstract: | Land use changes have a pronounced impact on hydrology. Vice versa, hydrologic changes affect land use patterns. The objective of this study is to test whether hydrologic variables can explain land use change. We employ a set of spatially distributed hydrologic variables and compare it against a set of commonly used explanatory variables for land use change. The explanatory power of these variables is assessed by using a logistic regression approach to model the spatial distribution of land use changes in a meso-scale Indian catchment. When hydrologic variables are additionally included, the accuracies of the logistic regression models improve, which is indicated by a change in the relative operating characteristic statistic (ROC) by up to 11%. This is mostly due to the complementarity of the two datasets that is reflected in the use of 44% commonly used variables and 56% hydrologic variables in the best models for land use change. |
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| Keywords: | Land use modeling Land-Use/Cover Change (LUCC) Logistic regression Hydrologic modeling India |
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