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长江中游经济带土地利用转型风险评估

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  • 1. 中国地质大学(武汉) 地理与信息工程学院, 湖北 武汉 430074;
    2. 自然资源部法治研究重点实验室, 湖北 武汉 430074;
    3. 中国地质大学(武汉) 公共管理学院, 湖北 武汉 430074

收稿日期: 2020-05-19

  网络出版日期: 2021-06-08

基金资助

国土资源部公益性行业科研专项(No.201511004-5)资助

Risk Assessment for Land Use Transition in the Middle of the Yangtze River Economic Belt

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  • 1. School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, Hubei, China;
    2. Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan 430074, Hubei, China;
    3. School of Public Administration, China University of Geosciences, Wuhan 430074, Hubei, China

Received date: 2020-05-19

  Online published: 2021-06-08

摘要

长江中游经济带土地利用转型过程可能导致的经济、社会及生态风险,将影响该区域甚至全国的可持续发展,研究其土地利用转型的风险评估方法至关重要。该文设计了基于“压力-状态-响应”框架的土地利用转型风险评价指标体系,利用基于熵权的逼近理想解排序法评价了土地利用转型的风险,应用障碍度分析法识别土地利用转型风险因子,分析了1990—2015年长江中游经济带土地利用转型的经济、社会与生态风险的分布状态与变化趋势,完成对各时期区域土地利用转型风险的风险因子识别,为提高长江中游经济带土地利用转型的影响研究效率,推进土地利用转型的风险评估工作提供技术支持。

本文引用格式

王凯, 张绪冰, 卓成刚, 胡守庚 . 长江中游经济带土地利用转型风险评估[J]. 应用科学学报, 2021 , 39(3) : 469 -468 . DOI: 10.3969/j.issn.0255-8297.2021.03.012

Abstract

The potential economic, social and ecological risks existing in land use transitions will affect the sustainable development of the Middle of the Yangtze River Economic Belt, thus it is critical to develop a method of assessing the risks of land use transition. In this paper, firstly, a risk assessment index system was built based on pressure-state-response (PSR) model. Then entropy-TOPSIS (technique for order preference by similarity to ideal solution) was adopted to assess the current risks of land use transitions. Subsequently, the critical factors of the risks were identified by means of obstacle degree analysis. Finally, the trend of economic, social and ecological risks in the Middle of the Yangtze River Economic Belt from 1990 to 2015 was assessed and analyzed, and the risk factors in each risk stage were found out. The results of the present study could promote the research progress of the risk assessment of land use transitions in the Middle of the Yangtze River Economic Belt.

参考文献

[1] 龙花楼, 李秀彬. 区域土地利用转型分析——以长江沿线样带为例[J]. 自然资源学报, 2002, 17(2): 144-149. Long H L, Li X B. Analysis on regional land use transition: a case study in transect of the Yangtze River[J]. Journal of Natural Resources, 2002, 17(2): 144-149. (in Chinese)
[2] 龙花楼. 论土地利用转型与土地资源管理[J]. 地理研究, 2015, 34(9): 1607-1618. Long H L. Land use transition and land management[J]. Geographical Research, 2015, 34(9): 1607-1618. (in Chinese)
[3] 龙花楼, 屠爽爽. 土地利用转型与乡村振兴[J]. 中国土地科学, 2018, 32(7): 1-6. Long H L, Tu S S. Land use transition and rural vitalization[J]. China Land Science, 2018, 32(7): 1-6. (in Chinese)
[4] 龙花楼. 论土地利用转型与乡村转型发展[J]. 地理科学进展, 2012, 31(2): 131-138. Long H L. Land use transition and rural transformation development[J]. Progress in Geography, 2012, 31(2): 131-138. (in Chinese)
[5] 王宏志, 宋明洁, 李仁东, 等. 江汉平原建设用地扩张的时空特征与驱动力分析[J]. 长江流域资源与环境, 2011, 20(4): 416-421. Wang H Z, Song M J, Li R D, et al. Study on spatial-temporal pattern and driving forces of construction land expansion in Jianghan plain from 1996 to 2005[J]. Resources and Environment in the Yangtze Basin, 2011, 20(4): 416-421. (in Chinese)
[6] 史利江, 王圣云, 姚晓军, 等. 1994-2006年上海市土地利用时空变化特征及驱动力分析[J]. 长江流域资源与环境, 2012, 21(12): 1468-1479. Shi L J, Wang S Y, Yao X J, et al. Spatial and temporal variation characteristics of land use and its driving force in Shanghai from 1994 to 2006[J]. Resources and Environment in the Yangtze Basin, 2012, 21(12): 1468-1479. (in Chinese)
[7] 施毅超, 牛高华, 赵言文, 等. 长江三角洲地区土地利用变化与经济发展的关系[J]. 经济地理, 2008, 28(6): 982-985, 994. Shi Y C, Niu G H, Zhao Y W, et al. Study on the relationship between land use change and ecnonmic development in Yangtze River Delta[J]. Economic Geography, 2008, 28(6): 982-985, 994. (in Chinese)
[8] 姚尧. 湖南省土地利用转型的时空演变特征及其与社会经济发展耦合协调机制研究[D]. 武汉: 中国地质大学, 2018.
[9] Xiong X, Grunwald S, Myers D B, et al. Interaction effects of climate and land use/land cover change on soil organic carbon sequestration[J]. Science of the Total Environment, 2014, 493(15): 974-982.
[10] Biro K, Pradhan B, Buchroithner M, et al. Land use/land cover change analysis and its impact on soil properties in the northern part of Gadarif region, Sudan[J]. Land Degradation & Development, 2013, 24(1): 90-102.
[11] Teixeira Z, Teixeira H, Marques J C. Systematic processes of land use/land cover change to identify relevant driving forces: implications on water quality[J]. Science of the Total Environment, 2014, 470/471: 1320-1335.
[12] 李月月, 黄义雄, 杨阳, 等. 福建省长汀县土地利用变化及其对生态风险的影响[J]. 生态科学, 2018, 37(6): 52-59. Li Y Y, Huang Y X, Yang Y, et al. Land use change and its impact on ecological risk in Changting County, Fujian Province[J]. Ecological Science, 2018, 37(6): 52-59. (in Chinese)
[13] 田鹏, 李加林, 史小丽, 等. 浙江省土地利用格局时空变化及生态风险评价[J]. 长江流域资源与环境, 2018, 27(12): 2697-2706. Tian P, Li J L, Shi X L, et al. Spatial and temporal changes of land use pattern and ecological risk assessment in Zhejiang Province[J]. Resources and Environment in the Yangtze Basin, 2018, 27(12): 2697-2706. (in Chinese)
[14] 许凤娇, 吕晓. 基于土地利用变化的江苏沿海地区生态风险格局[J]. 生态学报, 2018, 38(20): 7312-7325. Xu F J, Lü X. Ecological risk pattern based on land use changes in Jiangsu coastal areas[J]. Acta Ecologica Sinica, 2018, 38(20): 7312-7325. (in Chinese)
[15] 刘秀慧, 卓成刚. 土地利用转型风险与管控研究[J]. 湖北农业科学, 2017, 56(14): 2778-2781. Liu X H, Zhuo C G. A summary on the risks and risk control in land use transformation[J]. Hubei Agricultural Sciences, 2017, 56(14): 2778-2781. (in Chinese)
[16] 王茁, 黄凯丽. 我国土地利用转型风险管控体系的框架研究[J]. 农村经济与科技, 2018, 29(13): 6-9. Wang Z, Huang K L. Research on the framework of risk control system of land use transformation in China[J]. Rural Economy and Science-Technology, 2018, 29(13): 6-9. (in Chinese)
[17] 鲁春阳, 文枫, 杨庆媛, 等. 基于改进TOPSIS法的城市土地利用绩效评价及障碍因子诊断——以重庆市为例[J]. 资源科学, 2011, 33(3): 535-541. Lu C Y, Wen F, Yang Q Y, et al. An evaluation of urban land use performance based on the improved TOPSIS method and diagnosis of its obstacle indicators: a case study of Chongqing[J]. Resources Science, 2011, 33(3): 535-541. (in Chinese)
[18] 杜挺, 谢贤健, 梁海艳, 等. 基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J]. 经济地理, 2014, 34(6): 40-47. Du T, Xie X J, Liang H Y, et al. County economy comprehensive evaluation and spatial analysis in Chongqing City based on entropy weight TOPSIS and GIS[J]. Economic Geography, 2014, 34(6): 40-47. (in Chinese)
[19] 郭旭东, 邱扬, 连纲, 等. 基于“压力-状态-响应” 框架的县级土地质量评价指标研究[J]. 地理科学, 2005(5): 69-73. Guo X D, Qiu Y, Lian G, et al. Land quality evaluation indicators at county scale based on “press-state-response” framework[J]. Scientia Geographica Sinica, 2005(5): 69-73. (in Chinese)
[20] Neri A C, Dupin P, Sanchez L E. A pressure-state-response approach to cumulative impact assessment[J]. Journal of Cleaner Production, 2016, 126(10): 288-298.
[21] 卞兴云, 冉瑞平, 贾燕兵. 山东省城市土地集约利用时空差异[J]. 地理科学进展, 2009, 28(4): 617-621. Bian X Y, Ran R P, Jia Y B. Analysis of temporal and spatial difference on regional urban land intensive utilization: a case study of Shandong[J]. Progress in Geography, 2009, 28(4): 617-621. (in Chinese)
[22] 欧雄, 冯长春, 沈青云. 协调度模型在城市土地利用潜力评价中的应用[J]. 地理与地理信息科学, 2007, 23(1): 42-45. Ou X, Feng C C, Shen Q Y. Application of synergisticity model in urban land-use potential appraisal[J]. Geography and Geo-information Science, 2007, 23(1): 42-45. (in Chinese)
[23] 郑晶, 于浩, 黄森慰. 基于DPSIR-TOPSIS模型的福建省生态环境承载力评价及障碍因素研究[J]. 环境科学学报, 2017, 37(11): 4391-4398. Zheng J, Yu H, Huang S W. Evaluation and obstacle factors study on eco-environmental carrying capacity in Fujian Province based on DPSIR-TOPSIS model[J]. Acta Scientiae Circumstantiae, 2017, 37(11): 4391-4398. (in Chinese)
[24] 雷广海, 刘友兆, 陆效平. 江苏省13城市土地利用集约度时空变异及驱动因素[J]. 长江流域资源与环境, 2009, 18(1): 7-13. Lei G H, Liu Y Z, Lu X P. Driving forces and space—temporal variance of urban land use intensity in 13 cities of Jiangsu Province[J]. Resources and Environment in the Yangtze Basin, 2009, 18(1): 7-13. (in Chinese)
[25] 何刚, 夏业领, 朱艳娜. 基于DPSIR-TOPSIS模型的安徽省土地承载力评价及预测[J]. 水土保持通报, 2018, 38(2): 127-134. He G, Xia Y L, Zhu Y N. Evaluation and prediction of land carrying capacity in Anhui Province based on DPSIR-TOPSIS model[J]. Bulletin of Soil and Water Conservation, 2018, 38(2): 127-134. (in Chinese)
[26] 李开达, 张涛, 平西建, 等. 基于组合赋权及TOPSIS的隐写分析算法综合评估[J]. 应用科学学报, 2012, 30(4): 335-342. Li K D, Zhang T, Ping X J, et al. Comprehensive performance evaluation of steganalysis based on combination weight and TOPSIS[J]. Journal of Applied Sciences, 2012, 30(4): 335-342. (in Chinese)
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