Recent Progresses on the Application and Improvement of the CLUE-S Model

  • 1. The Key Laboratory for Environmental and Urban Sciences, Shenzhen Graduate School, Peking University, Shenzhen 518055, China;
    2. Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
    3. Shenzhen Graduate School, Peking University, Shenzhen 518055, China

Received date: 2011-04-01

  Revised date: 2011-06-01

  Online published: 2012-01-25


Land use change is one of the main research subjects of global environmental change and sustainable development. Land use models are useful for disentangling the complex suite of socio-economic and biophysical forces that influence the rate and spatial pattern of land use change and for estimating the impacts of changes on land use. Furthermore, models can support the exploration of future land use change under different scenarios and conditions. The CLUE-S (Conversion of Land Use and its Effects at Small Region Extent) model, which is based on comprehensive consideration on the basis of natural and human factors, can simulate small-scaled land use change scenarios with characteristics of integrity, openness, spatiality and competitive efficiency. This paper introduce the CLUE-S model improvements in the fields of the selection of driving factors, land requirements calculation, accuracy of the model calculation and model application development. Setting up the relationship between driving forces and spatial distribution is the core of CLUE-S model. Some suggestions for improving CLUE-S have also been put forward. Finally, we an draw three conclusions. First, CLUE-S is a mature integrated model for simulating the land use change. Using the spatial and non-spatial analysis, this model has been well developed and widely used in several areas in different land use fields all over the world. Second, coupled with other economic, statistic and mathematic models, the CLUE-S model has significant advantages in evaluating the land use change effects. Third, in the future, the improved prediction accuracy and the expansion of model application will probably better serve the objective of the understanding of land use change processes.

Cite this article

WU Jiansheng, FENG Zhe, GAO Yang, HUANG Xiulan, LIU Hongmeng, HUANG Li . Recent Progresses on the Application and Improvement of the CLUE-S Model[J]. PROGRESS IN GEOGRAPHY, 2012 , (1) : 3 -10 . DOI: 10.11820/dlkxjz.2012.01.001


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