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Integrated ecosystem model for simulating land use allocation

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  • Wang, Szu-Hua
  • Huang, Shu-Li
  • Budd, William W.

Abstract

The impacts of human activities on the natural environment are becoming more and more pronounced. One of the most obvious areas of concern is land use and land cover change. As a result, projects such as Urbanization and Global Environmental Change (UGEC) launched by the International Human Dimension Programme on Global Environmental Change (IHDP) and the Global Land Project (GLP) jointly proposed by IHDP and IGBP were developed to study the interactions between human activities, land systems, and natural environmental change. Based on a biophysical approach, urban energy theory and Multi-Objective Land Allocation (MOLA), the research presented here develops an integrated ecosystem model for the Taipei-Taoyuan area of Taiwan to enhance understanding of the interactions among energy flows, land use preferences and land use change. This paper illustrates how the joint application of an integrated ecosystem model with MOLA can be used in the simulation of land cover change in a region moving from an agricultural landscape to an urbanized system. The integrated ecosystem model also mimics the interactions between human preferences on land use and development allocations in socio-economic systems and potential material and energy flows in ecosystems with high spatial resolution.

Suggested Citation

  • Wang, Szu-Hua & Huang, Shu-Li & Budd, William W., 2012. "Integrated ecosystem model for simulating land use allocation," Ecological Modelling, Elsevier, vol. 227(C), pages 46-55.
    • Handle: RePEc:eee:ecomod:v:227:y:2012:i:c:p:46-55
    DOI: 10.1016/j.ecolmodel.2011.12.009
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    References listed on IDEAS

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    1. Helen Briassoulis, 2000. "Analysis of Land Use Change: Theoretical and Modeling Approaches," Wholbk, Regional Research Institute, West Virginia University, number 17, Fall.
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    Cited by:

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    2. Erqi Xu & Hongqi Zhang & Yang Yang & Ying Zhang, 2014. "Integrating a Spatially Explicit Tradeoff Analysis for Sustainable Land Use Optimal Allocation," Sustainability, MDPI, vol. 6(12), pages 1-22, December.
    3. Wang, Quan & Wang, Haijun & Chang, Ruihan & Zeng, Haoran & Bai, Xuepiao, 2022. "Dynamic simulation patterns and spatiotemporal analysis of land-use/land-cover changes in the Wuhan metropolitan area, China," Ecological Modelling, Elsevier, vol. 464(C).
    4. Larocque, Guy R. & Bhatti, Jagtar & Arsenault, André, 2014. "Integrated modelling software platform development for effective use of ecosystem models," Ecological Modelling, Elsevier, vol. 288(C), pages 195-202.
    5. Larocque, Guy R. & Bhatti, Jagtar & Arsenault, André, 2015. "Integrated modelling software platform development for effective use of ecosystem models," Ecological Modelling, Elsevier, vol. 306(C), pages 318-325.
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    7. Yao Lu & Min Zhou & Guoliang Ou & Zuo Zhang & Li He & Yuxiang Ma & Chaonan Ma & Jiating Tu & Siqi Li, 2021. "Sustainable Land-Use Allocation Model at a Watershed Level under Uncertainty," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    8. Nan Cui & Chen-Chieh Feng & Rui Han & Luo Guo, 2019. "Impact of Urbanization on Ecosystem Health: A Case Study in Zhuhai, China," IJERPH, MDPI, vol. 16(23), pages 1-17, November.
    9. You, L. & Li, Y.P. & Huang, G.H. & Zhang, J.L., 2014. "Modeling regional ecosystem development under uncertainty – A case study for New Binhai District of Tianjin," Ecological Modelling, Elsevier, vol. 288(C), pages 127-142.
    10. Yuxi Liu & Cheng Huang & Lvshui Zhang, 2023. "The Spatio-Temporal Patterns and Driving Forces of Land Use in the Context of Urbanization in China: Evidence from Nanchang City," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
    11. Bingkui Qiu & Shasha Lu & Min Zhou & Lu Zhang & Yu Deng & Ci Song & Zuo Zhang, 2015. "A Hybrid Inexact Optimization Method for Land-Use Allocation in Association with Environmental/Ecological Requirements at a Watershed Level," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    12. Gintautas Mozgeris & Daiva Juknelienė, 2021. "Modeling Future Land Use Development: A Lithuanian Case," Land, MDPI, vol. 10(4), pages 1-21, April.
    13. Sajith, Gouri & Srinivas, Rallapalli & Golberg, Alexander & Magner, Joe, 2022. "Bio-inspired and artificial intelligence enabled hydro-economic model for diversified agricultural management," Agricultural Water Management, Elsevier, vol. 269(C).
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