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CLUENaban—A land use change model combining social factors with physical landscape factors for a mountainous area in Southwest China
Institution:1. Southeast Asian Studies, Universität Passau, Innstraße 43, D-94032 Passau, Germany;2. Institute for Environmental Planning, Leibniz Universität Hannover, Herrenhäuserstraße 2, D-30490 Hannover, Germany;1. Instituto Plan Agropecuario, Br Artigas 3802, Montevideo 11700, Uruguay;2. Facultad de Ingeniería, Universidad de la República, Julio Herrera y Reissig 565, Montevideo 11300, Uruguay;3. CIRAD, UPR Green, Montpellier, France & PUC-Rio, LES Laboratory, Rio de Janeiro, Brazil;1. VITO NV – Flemish Institute for Technological Research, Environmental Modelling Unit, Boeretang 200, 2400 Mol, Belgium;2. Flemish Environment Agency, Department of River Basin Management, Dokter de Moorstraat 24-26, 9300 Aalst, Belgium;1. Centre for Mountain Ecosystem Studies, Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, Yunnan, China;2. World Agroforestry Centre, East and Central Asia, Kunming 650201, China;3. Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Heilongtan, Kunming 650201 Yunnan, China;4. World Agroforestry Centre, East & Southern Africa Region,13 Elm Road, Woodlands, Lusaka, Zambia;5. University of Chinese Academy of Sciences, Beijing 100049, China;6. Chuxiong Management Bureau of Yunnan Ailao Mountains National Nature Reserve, Chuxiong, Yunnan, China;7. Center for Nature and Society, College of Life Sciences, Peking University, Beijing 100871, China
Abstract:Land use modelling has used rural areas as object for a long time. Modellers start in general with physical landscape factors to determine the spatial distribution of land use, especially agricultural crops. An important factor defining rural areas is the dominance of livelihoods/economies based on agriculture combined with a strong relationship to tradition, high value of family ties, scales of social aggregation, and a framework given by nature. The inter-linkages among economic, social and environmental components determine both the complexity and dynamics of rural development. Both modellers and social scientists seek a better understanding of these complex rural systems in terms of their development paths, the underlying forces and the interactions between physical land use and rural society. In this paper, we use a combination of a land use change model and information about social relationship by referring both to the common spatial unit of villages for a rural region in south west China. We want to show how such a common unit can help to include social science information into a physically oriented land use model. The inclusion of social data results in a substantial improvement of the modelling results. In the model run we could show that land use patterns in the study area were closely related to socio-economic characteristics and governmental rules. In China, collective land and state land are distinguished. This land designation turned out to be the most important factor for the land use types rainfed, irrigated land, and rubber. All land use types were influenced by the ethnicity of village inhabitants because they had different land use traditions.
Keywords:Land use change  Modelling  Social factors  Participatory mapping  Southwest China
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