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Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model

Author

Listed:
  • Ge Wang

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Ziqi Zhou

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Jianguo Xia

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Dinghua Ou

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Jianbo Fei

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Shunya Gong

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Yuxiao Xiang

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

The unequal distribution of territorial space resources stands out as a leading cause of the human–land contradictions and environmental degradation. These issues are especially pronounced in the Minjiang River Basin, which exhibits significant regional disparities. In pursuit of solutions to these pressing problems and the identification of sustainable developmental pathways, this study presents an innovative territorial space double optimization simulation model. This model integrates quantity structure optimization and distribution pattern optimization, in order to comprehensively consider the optimization of territorial space allocation and build a new territorial space pattern for the Minjiang River Basin in 2030. On this basis, we employed the Patch-generating Land Use Simulation (PLUS) model and scenario analysis method to design the double optimization scenario and natural development scenario. By comparing these two scenarios, and calculating the ecological benefits (EB), economic benefits (ECB), carbon storage (CS), and comprehensive benefits (CB) achieved in different scenarios, the validity of the double optimization model was fully verified. The results indicated that: ① the loss of sub-ecological space (PeS) under the natural development scenario was significantly larger than that under the double optimization scenario, and the loss should be mainly attributed to the large expansion of production space (PS) and living space (LS); ② the area of ecological space (ES) has reduced since 2020, but less area was lost and the retention rate was higher under the double optimization scenario; ③ the natural development scenario made the research region gain more ECB, but it also resulted in the loss of more EB and CS, whereas the Minjiang River Basin under the double optimization scenario was able to effectively balance the relationship among the three, thus achieving the best CB. The research findings provide strong scientific support for alleviating the human–land contradictions, protecting the ecological security in the basin, and promoting the sustainable development of the region.

Suggested Citation

  • Ge Wang & Ziqi Zhou & Jianguo Xia & Dinghua Ou & Jianbo Fei & Shunya Gong & Yuxiao Xiang, 2023. "Optimal Allocation of Territorial Space in the Minjiang River Basin Based on a Double Optimization Simulation Model," Land, MDPI, vol. 12(11), pages 1-26, October.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:1989-:d:1270337
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    References listed on IDEAS

    as
    1. Weimin YANG, 2020. "Ecological Civilization is a New State of Civilization Featuring the Harmony between Man and Nature," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-3, June.
    2. Muhammad Fahad Baqa & Fang Chen & Linlin Lu & Salman Qureshi & Aqil Tariq & Siyuan Wang & Linhai Jing & Salma Hamza & Qingting Li, 2021. "Monitoring and Modeling the Patterns and Trends of Urban Growth Using Urban Sprawl Matrix and CA-Markov Model: A Case Study of Karachi, Pakistan," Land, MDPI, vol. 10(7), pages 1-17, July.
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