童海燕,董晓,刘加平,等. 黄河中上游区土地使用结构与布局复合优化[J]. 农业工程学报,2024,40(9):252-262. DOI: 10.11975/j.issn.1002-6819.202401220
    引用本文: 童海燕,董晓,刘加平,等. 黄河中上游区土地使用结构与布局复合优化[J]. 农业工程学报,2024,40(9):252-262. DOI: 10.11975/j.issn.1002-6819.202401220
    TONG Haiyan, DONG Xiao, LIU Jiaping, et al. Composite optimization of land use structure and layout in the middle and upper reaches of the Yellow River[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(9): 252-262. DOI: 10.11975/j.issn.1002-6819.202401220
    Citation: TONG Haiyan, DONG Xiao, LIU Jiaping, et al. Composite optimization of land use structure and layout in the middle and upper reaches of the Yellow River[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(9): 252-262. DOI: 10.11975/j.issn.1002-6819.202401220

    黄河中上游区土地使用结构与布局复合优化

    Composite optimization of land use structure and layout in the middle and upper reaches of the Yellow River

    • 摘要: 黄河中上游地区生态环境脆弱,空间发展问题突出,探索该区域土地使用结构和布局优化配置是实现黄河流域生态保护和高质量发展的有效途径。该研究以黄河中上游地区为研究对象,基于该区域土地使用、社会经济等数据,运用多目标规划(multi-objective programming, MOP)和PLUS模型模拟了惯性发展、生态保护、经济优先和生态-经济均衡4种情景下研究区未来土地格局和变化趋势,并在平衡生态与经济的目标下提出最优土地使用结构和布局方案。结果表明:1)4种情景下,土地使用比例结构存在较大差异;2)均衡情景下的区域土地使用结构和空间布局方案为最优,其综合效益值最高且达到19481.00亿元,与生态保护情景相比其经济效益(12223.88亿元)增长了4.07%,与经济优先情景相比其生态价值(7257.12亿元)增长了2.32%;经济优先情景下综合效益值为20273.96亿元,是4种情景下最高的。研究可为黄河中上游区域未来土地使用规划编制和土地可持续利用规划提供依据。

       

      Abstract: Spatial development is ever prominent in the middle and upper reaches of the Yellow River in recent years, due mainly to the fragile ecological environment. This article aims to explore the optimization and allocation of land use structure and layout for ecological protection and high-quality development in the Yellow River Basin. The middle and upper reaches of the Yellow River were taken as the research object. The land use, socio-economic, and natural environment datasets were collected from 2010 and 2020. A composite optimization was carried out on the land use structure and layout using multi-objective programming (MOP) and PLUS models. Firstly, a multi-objective model was constructed with three scenarios as objective functions: ecological protection scenario (economic benefit to ecological benefit target ratio of 1:4), economic development priority scenario (economic benefit to ecological benefit target ratio of 4:1), and economic ecological balanced development scenario (economic benefit to ecological benefit target ratio of 1:1). The total land area, cultivated land ownership, and ecological environment protection were used as the constraints, in order to obtain land use structure data under these three scenarios; Secondly, plugin Markov Chain of the PLUS model was utilized to predict the land use structure data for 2030 under the inertial development scenario; Finally, 15 driving factors were selected, including population, vegetation index (NDVI), GDP, distance to railways, distance to highways, distance to main roads, distance to secondary roads, distance to city center, soil type, distance to rivers, annual average temperature, annual average rainfall, DEM, slope, and aspect. High sensitivity areas under national nature reserves and ecological priority scenarios were set as the limiting conversion conditions. The PLUS model was used to spatially position the future land use patterns, and then adjust the trends in the study area under four scenarios. The optimal configuration scheme of regional land use structure and layout was proposed to balance the ecological protection and economic development. The results indicate that: 1) There were significant differences in the proportion structure of land use among the four development scenarios; 2) There was a more reasonable configuration of regional land use structure and spatial layout under the ecological economic equilibrium scenario, compared with the rest scenarios. The overall equilibrium scenario was superior to the rest from the perspectives of land use proportion structure, spatial pattern, and overall benefits. The comprehensive benefit value was 1 948.100 billion yuan, and the economic benefit (1 222.388 billion yuan) increased by 4.07%, compared with the ecological protection scenario. The ecological value (725.712 billion yuan) also increased by 2.32%, compared with the economic priority scenario; 3) The comprehensive benefit value was 2 027.396 billion yuan under the scenario of prioritizing economic development, indicating the highest among the four. The finding can provide the theoretical basis and decision-making to optimize the land use structure and pattern prediction in the middle and upper reaches of the Yellow River.

       

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