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A Review of Methodological Integration in Land-Use Change Models

Author

Listed:
  • Anh Nguyet Dang

    (Asian Institute of Technology, Pathumthani, Thailand)

  • Akiyuki Kawasaki

    (Department of Civil Engineering, University of Tokyo, Tokyo, Japan)

Abstract

Global change research communities are paying increasing attention to answering critical questions related to land-use change, questions which are at the root of many pressing socio-economic and environmental issues. In this regard, a huge number of models have been developed to support future land-use planning and environmental impact assessments of land-use change activities. Within land-use change models, methodological integration is recognized as an essential feature for a complete model, which can help to combine the strength of single modelling methods/techniques without inherent weaknesses. Despite the potential and remarkable growth of methodological integration in land-use change models, limited attention has been paid to this aspect of integration. In response to this, the authors' paper summarizes the current major land-use modelling methods/techniques, and explains the co-integration of these methods/techniques. In addition, they summarize the achievements, limitations and future trends in the use of the methodological integration approach in land-use change models.

Suggested Citation

  • Anh Nguyet Dang & Akiyuki Kawasaki, 2016. "A Review of Methodological Integration in Land-Use Change Models," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 7(2), pages 1-25, April.
    • Handle: RePEc:igg:jaeis0:v:7:y:2016:i:2:p:1-25
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    Citations

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    Cited by:

    1. Yucong Duan & Jie Tang & Zhaoyang Li & Yao Yang & Ce Dai & Yunke Qu & Hang Lv, 2022. "Optimal Planning and Management of Land Use in River Source Region: A Case Study of Songhua River Basin, China," IJERPH, MDPI, vol. 19(11), pages 1-21, May.
    2. Paolo Magliulo & Angelo Cusano & Filippo Russo, 2021. "Land-Use Changes in the Sele River Basin Landscape (Southern Italy) between 1960 and 2012: Comparisons and Implications for Soil Erosion Assessment," Geographies, MDPI, vol. 1(3), pages 1-18, November.
    3. Pere Serra & Luca Salvati, 2022. "Land Change Science and the STEPLand Framework: An Assessment of Its Progress," Land, MDPI, vol. 11(7), pages 1-38, July.
    4. Qihao Wang & Dongya Liu & Feiyao Gao & Xinqi Zheng & Yiqun Shang, 2023. "A Partitioned and Heterogeneous Land-Use Simulation Model by Integrating CA and Markov Model," Land, MDPI, vol. 12(2), pages 1-20, February.
    5. Nan Wang & Peijuan Zhu & Guohua Zhou & Xudong Xing & Yong Zhang, 2022. "Multi-Scenario Simulation of Land Use and Landscape Ecological Risk Response Based on Planning Control," IJERPH, MDPI, vol. 19(21), pages 1-29, November.
    6. Brahima Coulibaly & Shixiang Li, 2020. "Impact of Agricultural Land Loss on Rural Livelihoods in Peri-Urban Areas: Empirical Evidence from Sebougou, Mali," Land, MDPI, vol. 9(12), pages 1-20, November.
    7. Fituma Lemessa & Belay Simane & Aseffa Seyoum & Girma Gebresenbet, 2023. "Development-Induced Impacts on the Livelihoods of Displaced Communities: The Case of Bole Lemi Industry Park, Addis Ababa, Ethiopia," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    8. Dang, Anh Nguyet & Kawasaki, Akiyuki, 2017. "Integrating biophysical and socio-economic factors for land-use and land-cover change projection in agricultural economic regions," Ecological Modelling, Elsevier, vol. 344(C), pages 29-37.

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