黄河流域土地压力状态及其可持续利用途径——以省会城市为例
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摘要
土地资源是人类社会赖以生存与发展的基础,是人类可持续发展的重要载体。加强对其保护有利于促进人与自然的协调共生发展。基于4种测度模型,对黄河流域省会城市的土地进行压力状态分析。研究表明,黄河流域省会城市的各项压力测度指数具有明显的分布规律:1.建设用地压力测度指数均大于1; 2.生态用地压力测度指数仅有兰州市小于1; 3.耕地用地压力测度指数只有银川市和郑州市大于1; 4.综合压力测度指数均大于1。该研究为黄河流域省会城市在提高土地利用率、加强生态环境建设、土地资源的可持续利用等方面的发展与建设方面提供一定帮助,对该流域其他地级市也有一定的应用价值。
Land resource is the foundation of human society's survival and development,and is an important carrier of human sustainable development. Strengthening its protection is beneficial to promote the harmonious symbiosis between man and nature. Based on 4 kinds of measure models,the paper analyses the pressure state of the land in the provincial capital cities of the Yellow River basin. The results show that the pressure measurement indices in the provincial capitals of the Yellow River basin have obvious distribution rules. Among them,(1) The Construction Land Pressure measure index is more than 1,(2) The Ecological Land Pressure measure index only Lanzhou city is less than 1,(3) The Land Pressure measure index only Yinchuan and Zhengzhou are greater than 1,(4) The comprehensive Pressure measure index is greater than 1. Different land types in different provinces have different measuring results,and the measurement results have higher reference value,which is helpful to the development and construction of farmland protection,land utilization rate and ecological environment construction in the provincial capital cities of the Yellow River basin,and has some application value to the other prefecture-level city application.
Land resource is the foundation of human society's survival and development,and is an important carrier of human sustainable development. Strengthening its protection is beneficial to promote the harmonious symbiosis between man and nature. Based on 4 kinds of measure models,the paper analyses the pressure state of the land in the provincial capital cities of the Yellow River basin. The results show that the pressure measurement indices in the provincial capitals of the Yellow River basin have obvious distribution rules. Among them,(1) The Construction Land Pressure measure index is more than 1,(2) The Ecological Land Pressure measure index only Lanzhou city is less than 1,(3) The Land Pressure measure index only Yinchuan and Zhengzhou are greater than 1,(4) The comprehensive Pressure measure index is greater than 1. Different land types in different provinces have different measuring results,and the measurement results have higher reference value,which is helpful to the development and construction of farmland protection,land utilization rate and ecological environment construction in the provincial capital cities of the Yellow River basin,and has some application value to the other prefecture-level city application.
引文
[1]赵素霞,牛海鹏.基于灰色马尔科夫模型的河南省耕地压力状况研究[J].干旱区资源与环境,2015,29(08):46-51.
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[4]陈凌伟,张荣群,艾东,等.黑龙江省土地压力状态及其可持续利用途径[J].地域研究与开发,2017,36(03):123-128.
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[14]张茹,戴文婷,刘兆顺,等.我国北方农牧交错区土地生态安全评价———以白城市为例[J].水土保持研究,2017,24(02):259-266.
[15]方创琳,贾克敬,李广东,等.市县土地生态-生产-生活承载力测度指标体系及核算模型解析[J].生态学报,2017,37(15):5198-5209.
[16]曲衍波,朱伟亚,郧文聚,等.基于压力-状态-响应模型的土地整治空间格局及障碍诊断[J].农业工程学报,2017,33(03):241-249.
[17]张锐,郑华伟,刘友兆.基于压力-状态-响应模型与集对分析的土地利用系统健康评价[J].水土保持通报,2014,34(05):146-152.
[18]郝仕龙,李春静.黄土丘陵沟壑区土地压力及土地利用模式变化[J].农业工程学报,2014,30(08):210-217.
[19] Larson C. Losing Arable Land,China Faces Stark Choice Adapt or Go Hungry[J]. Science,2013,339(6120):644-645.
[20] Panda A,Sharma U,Ninan K N,et al. Adaptive Capacity Contributing to Improved Agricultural Productivity at the Household Level; Empirical Findings Highighting the Importance of Cropinsurance[J]. Global Environmental Change,2013,23:782-790.
[21] Acs S,Hanley N,Dallimei M et al. The Effect of Decoupling on Marginal Agricultural Systems; Implications for Farm Incomes,Land Use and Upland Ecology[J]. Land Use Policy,2010,27:550-563.
[2]潘玉君,武友德.地理科学导论[M].北京:科学出版社,2014:35-41.
[3]钱学森.谈地理科学的内容及研究方法[J].地理学报,1991,46(03):257-265.
[4]陈凌伟,张荣群,艾东,等.黑龙江省土地压力状态及其可持续利用途径[J].地域研究与开发,2017,36(03):123-128.
[5]成福伟,张月丛,孟宪峰,等.承德土地压力评估及其缓解途径[J].干旱区资源与环境,2011,25(07):155-160.
[6]罗翔,罗静,张路.耕地压力与中国城镇化———基于地理差异的实证研究[J].中国人口科学,2015(04):47-59+127.
[7]江汪奇,李伟芳,马仁锋,等.镇(街道)视角下的城镇扩张与耕地压力协调研究———以宁波市鄞州区为例[J].世界科技研究与发展,2016,38(04):855-860+866.
[8]曹子剑,吴学瑜,高振宇,等.基于发展压力状态的土地利用动态遥感监测区域划分方法———以天津市津南区为例[J].国土资源遥感,2013,25(03):124-129.
[9]高彩玲,高歌,张现文.基于P-S-R模型的郑州生态城市建设评价[J].地域研究与开发,2013,32(02):79-83.
[10]王少华.郑州沿黄旅游区土地利用空间格局演变[J].地域研究与开发,2017,36(06):115-118+130.
[11]刘培,贾守军,马朝阳,等.基于Globe Land 30数据和CA_Markov模型的郑州市2000-2020年地表覆盖变化特征及预测分析[J].水土保持通报,2017,37(04):282-287.
[12]陶陶.我国生态用地的研究进展与展望[J].地域研究与开发,2014,33(04):126-130+167.
[13]马贤磊,唐亮,孙萌丽.城镇土地生态环境效应的影响因素研究:基于LMDI分解模型[J].南京农业大学学报:社会科学版,2018,18(02):117-128+161.
[14]张茹,戴文婷,刘兆顺,等.我国北方农牧交错区土地生态安全评价———以白城市为例[J].水土保持研究,2017,24(02):259-266.
[15]方创琳,贾克敬,李广东,等.市县土地生态-生产-生活承载力测度指标体系及核算模型解析[J].生态学报,2017,37(15):5198-5209.
[16]曲衍波,朱伟亚,郧文聚,等.基于压力-状态-响应模型的土地整治空间格局及障碍诊断[J].农业工程学报,2017,33(03):241-249.
[17]张锐,郑华伟,刘友兆.基于压力-状态-响应模型与集对分析的土地利用系统健康评价[J].水土保持通报,2014,34(05):146-152.
[18]郝仕龙,李春静.黄土丘陵沟壑区土地压力及土地利用模式变化[J].农业工程学报,2014,30(08):210-217.
[19] Larson C. Losing Arable Land,China Faces Stark Choice Adapt or Go Hungry[J]. Science,2013,339(6120):644-645.
[20] Panda A,Sharma U,Ninan K N,et al. Adaptive Capacity Contributing to Improved Agricultural Productivity at the Household Level; Empirical Findings Highighting the Importance of Cropinsurance[J]. Global Environmental Change,2013,23:782-790.
[21] Acs S,Hanley N,Dallimei M et al. The Effect of Decoupling on Marginal Agricultural Systems; Implications for Farm Incomes,Land Use and Upland Ecology[J]. Land Use Policy,2010,27:550-563.