中国县级海岛综合承载水平测度及时空差异分析
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摘要
运用PSR模型从经济、社会、生态3个方面选取28个指标,构建县级海岛综合承载评价指标体系,测度中国12个县级海岛2009—2017年间的综合承载水平,对其承载水平时空分异特征进行分析。结果表明:(1)各县级海岛综合承载力阶段性特征显著,综合承载力水平在2009—2017年区域差异明显并在波动中上升,近两年相对差异有缓慢扩大的趋势,整体发展态势较好;(2)县级海岛综合承载力空间分异明显,承载水平呈中间高南北低、从中部向南北减弱的特点,空间分布呈现出区域化和集群化特征;(3)县级海岛综合承载力的结构随时间推移有不断优化向好的趋势,各结构之间在发展路径上呈提升状态,其协调度不断波动,发展向正规合理化时期靠近。
This study uses the PSR model to select 28 indicators from 3 aspects of economic and social ecology,constructs a comprehensive evaluation index system for the comprehensive carrying capacity of the county island,and uses a variety of evaluation methods to measure the comprehensive carrying capacity of the 12 county islands in China during 2009—2017,and analyses the spatial and temporal characteristics of its bearing level. The results show that the comprehensive carrying capacity of the county islands is characterized by a significant stage characteristic. The comprehensive bearing capacity of the 12 county islands is obvious in the period of 2009—2017,the difference is rising in the fluctuation,the relative difference has a slow trend in the last two years,the overall development trend is better,and the spatial differentiation of the comprehensive carrying capacity of the county island is different. It is obvious that the level of carrying capacity is characterized by the middle high north and south low,and the spatial distribution is characterized by regionalization and clustering; the comprehensive carrying capacity of the county island has a continuous optimization trend.
This study uses the PSR model to select 28 indicators from 3 aspects of economic and social ecology,constructs a comprehensive evaluation index system for the comprehensive carrying capacity of the county island,and uses a variety of evaluation methods to measure the comprehensive carrying capacity of the 12 county islands in China during 2009—2017,and analyses the spatial and temporal characteristics of its bearing level. The results show that the comprehensive carrying capacity of the county islands is characterized by a significant stage characteristic. The comprehensive bearing capacity of the 12 county islands is obvious in the period of 2009—2017,the difference is rising in the fluctuation,the relative difference has a slow trend in the last two years,the overall development trend is better,and the spatial differentiation of the comprehensive carrying capacity of the county island is different. It is obvious that the level of carrying capacity is characterized by the middle high north and south low,and the spatial distribution is characterized by regionalization and clustering; the comprehensive carrying capacity of the county island has a continuous optimization trend.
引文
[1]霍小光.习近平总书记舟山行[EB/OL].(2015-05-27)[2018-06-09]. http://cpc. people. com. cn/n/2015/0527/c64094-27063172. html.
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[3]国家海洋局.《全国海岛保护工作“十三五”规划》[EB/OL].(2017-01-20)[2018-06-09]. http://www. soa. gov. cn/zwgk/zcgh/fzdy/201701/t20170120_54616. html.
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[5]李高伟,韩美,刘莉,等.基于主成分分析的郑州市水资源承载力评价[J].地域研究与开发,2014,33(3):139-142.
[6]陈松华.海岛地区提高水资源保障能力对策探析——以舟山市为例[J].浙江水利科技,2010(1):16-18.
[7]田红霞,于长英,郑海霞.新一轮土地利用规划中海岛土地资源承载力研究——以大连市长海县为例[J].国土资源科技管理,2010(2):72-76.
[8]苟延农,张晓青,李新运,等.基于经济文化强省建设目标的山东综合人口承载力预测[J].中国人口·资源与环境,2012,22(9):129-134.
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[10]苏海民,何爱霞,汪兆国,等.基于生物免疫学的安徽省城市生态系统承载力研究[J].地域研究与开发,2017,36(6):131-135.
[11]狄乾斌,韩帅帅,韩增林.中国地级以上城市经济承载力的空间格局[J].地理研究,2016,35(2):337-352.
[12]雷勋平,邱广华.基于熵权TOPSIS模型的区域资源环境承载力评价实证研究[J].环境科学学报,2016,36(1):314-323.
[13]韩增林,狄乾斌,刘锴.海域承载力的理论与评价方法[J].地域研究与开发,2006,25(1):1-5.
[14]王树强,张贵.基于秩和比的京津冀综合承载力比较研究[J].地域研究与开发,2014,33(4):19-25.
[15]魏超,叶属峰,过仲阳,等.海岸带区域综合承载力评估指标体系的构建与应用——以南通市为例[J].生态学报,2013,33(18):5893-5904.
[16]段新光,栾芳芳.基于模糊综合评判的新疆水资源承载力评价[J].中国人口·资源与环境,2014,24(S1):119-122.
[17]狄乾斌,韩帅帅.城市经济承载力的综合评价及其时空差异研究——以我国15个副省级城市为例[J].经济地理,2015,35(9):57-64.
[18]苏盼盼,叶属峰,过仲阳,等.基于AD-AS模型的海岸带生态系统综合承载力评估——以舟山海岸带为例[J].生态学报,2014,34(3):718-726.
[19]程广斌,申立敬,龙文.丝绸之路经济带背景下西北城市群综合承载力比较[J].经济地理,2015,35(8):98-103.
[20]王泽宇,郭萌雨,韩增林.基于集对分析的海洋综合实力评价研究[J].资源科学,2014,36(2):351-360.
[21]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.
[22]陈静.基于PSR模型的开发区土地集约利用评价体系研究[D].西安:长安大学,2011.
[2]李晓喻.从十九大报告看中国海洋政策的变与不变[EB/OL].(2017-10-24)[2018-06-09]. http://www. China. com. cn/haiyang/2017-10/24/content_41782191. htm.
[3]国家海洋局.《全国海岛保护工作“十三五”规划》[EB/OL].(2017-01-20)[2018-06-09]. http://www. soa. gov. cn/zwgk/zcgh/fzdy/201701/t20170120_54616. html.
[4]狄乾斌,顾宸.中国海岛县经济发展水平时空差异及其演变分析[J].资源开发与市场,2017,33(11):1354-1358.
[5]李高伟,韩美,刘莉,等.基于主成分分析的郑州市水资源承载力评价[J].地域研究与开发,2014,33(3):139-142.
[6]陈松华.海岛地区提高水资源保障能力对策探析——以舟山市为例[J].浙江水利科技,2010(1):16-18.
[7]田红霞,于长英,郑海霞.新一轮土地利用规划中海岛土地资源承载力研究——以大连市长海县为例[J].国土资源科技管理,2010(2):72-76.
[8]苟延农,张晓青,李新运,等.基于经济文化强省建设目标的山东综合人口承载力预测[J].中国人口·资源与环境,2012,22(9):129-134.
[9]毛汉英,余丹林.环渤海地区区域承载力研究[J].地理学报,2001,56(3):363-371.
[10]苏海民,何爱霞,汪兆国,等.基于生物免疫学的安徽省城市生态系统承载力研究[J].地域研究与开发,2017,36(6):131-135.
[11]狄乾斌,韩帅帅,韩增林.中国地级以上城市经济承载力的空间格局[J].地理研究,2016,35(2):337-352.
[12]雷勋平,邱广华.基于熵权TOPSIS模型的区域资源环境承载力评价实证研究[J].环境科学学报,2016,36(1):314-323.
[13]韩增林,狄乾斌,刘锴.海域承载力的理论与评价方法[J].地域研究与开发,2006,25(1):1-5.
[14]王树强,张贵.基于秩和比的京津冀综合承载力比较研究[J].地域研究与开发,2014,33(4):19-25.
[15]魏超,叶属峰,过仲阳,等.海岸带区域综合承载力评估指标体系的构建与应用——以南通市为例[J].生态学报,2013,33(18):5893-5904.
[16]段新光,栾芳芳.基于模糊综合评判的新疆水资源承载力评价[J].中国人口·资源与环境,2014,24(S1):119-122.
[17]狄乾斌,韩帅帅.城市经济承载力的综合评价及其时空差异研究——以我国15个副省级城市为例[J].经济地理,2015,35(9):57-64.
[18]苏盼盼,叶属峰,过仲阳,等.基于AD-AS模型的海岸带生态系统综合承载力评估——以舟山海岸带为例[J].生态学报,2014,34(3):718-726.
[19]程广斌,申立敬,龙文.丝绸之路经济带背景下西北城市群综合承载力比较[J].经济地理,2015,35(8):98-103.
[20]王泽宇,郭萌雨,韩增林.基于集对分析的海洋综合实力评价研究[J].资源科学,2014,36(2):351-360.
[21]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.
[22]陈静.基于PSR模型的开发区土地集约利用评价体系研究[D].西安:长安大学,2011.