孙秀波, 崔健, 代雅建, 郭常来. 2022: 辽宁锦州地区土地资源承载力评价. 地质通报, 41(8): 1487-1493. DOI: 10.12097/j.issn.1671-2552.2022.08.014
    引用本文: 孙秀波, 崔健, 代雅建, 郭常来. 2022: 辽宁锦州地区土地资源承载力评价. 地质通报, 41(8): 1487-1493. DOI: 10.12097/j.issn.1671-2552.2022.08.014
    SUN Xiubo, CUI Jian, DAI Yajian, GUO Changlai. 2022: Research on the evaluation of land resources carrying capacity in Jinzhou area, Liaoning Province. Geological Bulletin of China, 41(8): 1487-1493. DOI: 10.12097/j.issn.1671-2552.2022.08.014
    Citation: SUN Xiubo, CUI Jian, DAI Yajian, GUO Changlai. 2022: Research on the evaluation of land resources carrying capacity in Jinzhou area, Liaoning Province. Geological Bulletin of China, 41(8): 1487-1493. DOI: 10.12097/j.issn.1671-2552.2022.08.014

    辽宁锦州地区土地资源承载力评价

    Research on the evaluation of land resources carrying capacity in Jinzhou area, Liaoning Province

    • 摘要: 以土地资源综合承载状态最佳为目标层, 以土地资源底线、绿色生活、土地资源安全、土地资源绿色生产为准则层, 建立土地资源承载力评价指标体系, 并从欧氏距离、主客观赋权、优势及短板评价模块三方面建立TOPSIS土地资源承载力评价及优势短板定量分析模型。以此模型开展了锦州地区土地资源承载力评价研究。评价结果显示: 2015—2018年, 锦州地区土地资源承载力先升后降, 2016年达到最高, 2018年最低; 2015年城乡建设用地规模、2016年新增国土空间生态修复规模、2017年和2018年耕地保有量为影响当年土地承载力的主要指标。该成果为研究土地资源承载力演化趋势, 定量分析影响土地资源承载力的指标提供支撑。

       

      Abstract: Taking the best comprehensive carrying state of land resources as the target layer, and taking the bottom line of land resources, green life, land resource security, and green production of land resources as the criterion layers, establish an evaluation index system for the carrying capacity of land resources in Jinzhou.The objective weighting, advantages and shortcoming evaluation modules establish a quantitative analysis model for TOPSIS land resource carrying capacity evaluation and advantages shortcomings.Based on this model, the evaluation research of land resource carrying capacity in Jinzhou area was carriedout.The evaluation results show that from 2015 to 2018, the land resource carrying capacity of Jinzhou area increased first and then decreased, reached the highest in 2016 and the lowest in 2018.The scale of urban and rural construction land in 2015, the scale of ecological restoration of new land and space in 2016, and the amount of cultivated land in 2018 are the main indicator that affected the land carrying capacity of that year. The results provide support for studying the evolution trend of land resource carrying capacity and quantitatively analyzing the indicators that affect land resource carrying capacity.

       

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