XuGaoPengEtAl2014

Référence

Xu, X., Gao, Q., Peng, C., Cui, X., Liu, Y. and Jiang, L. (2014) Integrating global socio-economic influences into a regional land use change model for China. Frontiers of Earth Science, 8(1):81-92. (Scopus )

Résumé

With rapid economic development and urbanization, land use in China has experienced huge changes in recent years; and this will probably continue in the future. Land use problems in China are urgent and need further study. Rapid land-use change and economic development make China an ideal region for integrated land use change studies, particularly the examination of multiple factors and global-regional interactions in the context of global economic integration. This paper presents an integrated modeling approach to examine the impact of global socio-economic processes on land use changes at a regional scale. We develop an integrated model system by coupling a simple global socio-economic model (GLOBFOOD) and regional spatial allocation model (CLUE). The model system is illustrated with an application to land use in China. For a given climate change, population growth, and various socio-economic situations, a global socio-economic model simulates the impact of global market and economy on land use, and quantifies changes of different land use types. The land use spatial distribution model decides the type of land use most appropriate in each spatial grid by employing a weighted suitability index, derived from expert knowledge about the ecosystem state and site conditions. A series of model simulations will be conducted and analyzed to demonstrate the ability of the integrated model to link global socioeconomic factors with regional land use changes in China. The results allow an exploration of the future dynamics of land use and landscapes in China. © 2013 Higher Education Press and Springer-Verlag Berlin Heidelberg.

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@ARTICLE { XuGaoPengEtAl2014,
    AUTHOR = { Xu, X. and Gao, Q. and Peng, C. and Cui, X. and Liu, Y. and Jiang, L. },
    TITLE = { Integrating global socio-economic influences into a regional land use change model for China },
    JOURNAL = { Frontiers of Earth Science },
    YEAR = { 2014 },
    VOLUME = { 8 },
    PAGES = { 81-92 },
    NUMBER = { 1 },
    NOTE = { cited By (since 1996)0 },
    ABSTRACT = { With rapid economic development and urbanization, land use in China has experienced huge changes in recent years; and this will probably continue in the future. Land use problems in China are urgent and need further study. Rapid land-use change and economic development make China an ideal region for integrated land use change studies, particularly the examination of multiple factors and global-regional interactions in the context of global economic integration. This paper presents an integrated modeling approach to examine the impact of global socio-economic processes on land use changes at a regional scale. We develop an integrated model system by coupling a simple global socio-economic model (GLOBFOOD) and regional spatial allocation model (CLUE). The model system is illustrated with an application to land use in China. For a given climate change, population growth, and various socio-economic situations, a global socio-economic model simulates the impact of global market and economy on land use, and quantifies changes of different land use types. The land use spatial distribution model decides the type of land use most appropriate in each spatial grid by employing a weighted suitability index, derived from expert knowledge about the ecosystem state and site conditions. A series of model simulations will be conducted and analyzed to demonstrate the ability of the integrated model to link global socioeconomic factors with regional land use changes in China. The results allow an exploration of the future dynamics of land use and landscapes in China. © 2013 Higher Education Press and Springer-Verlag Berlin Heidelberg. },
    AUTHOR_KEYWORDS = { China; global socio-economic influence; integrating; land use change model },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1007/s11707-013-0421-8 },
    ISSN = { 16737385 },
    SOURCE = { Scopus },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84894243884&partnerID=40&md5=25c40603c70a436694f6eb652884739d },
}

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