Abstract
Land use change resulting from human activity affects human health and ecosystems, and globally, natural resource degradation and conversion from natural land cover to urban, agricultural, and industrial land uses is accelerating. Simulation of and use changes is a very helpful tool for managing current and future land use. In the north of Iran, in the part of Ramian County, land use change is very intensive because of favorable soil and climatic conditions for various human activities on the landscape. The rapid development of urbanization and farming throughout the region is an important threat to natural resources. The aim of this research is land use change optimization using an ensemble of the CLUE_s model and the analytical hierarchy process. Images of Landsat 7 were applied for land use classification for the years 1990 and 2015. The analytical hierarchy process was applied instead of the logistic regression approach in in the simulation process using CLUE-s model. The results indicate that the new ensemble model is an acceptable and accurate tool for land use classification. Land use change detection showed that deforestation, rangeland degradation, and the conversion of natural resources (forest and rangeland land uses) to residential and agricultural land uses accounts for most of the land use changes in the Ramian County. Land use map of year 2040 was simulated using the new ensemble model. This new model is a useful tool for policymakers and land use managers.
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The author would like to thank Devin L. Galloway (U.S. Geological Survey, Water Mission Area) for technical support and editing the article.
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Mohammady, M. Land use change optimization using a new ensemble model in Ramian County, Iran. Environ Earth Sci 80, 780 (2021). https://doi.org/10.1007/s12665-021-10101-1
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DOI: https://doi.org/10.1007/s12665-021-10101-1