甘肃省土地利用多功能性空间差异及影响因素分析
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摘要
【目的】分析土地利用多功能性空间差异及影响因素,更全面、深入地探究土地利用多功能驱动机制。【方法】综合评价法、空间自相关法和地理加权回归模型。【结果】(1)甘肃省土地利用多功能性水平空间特征显著,呈现空间集聚状态。土地利用总功能整体为西北高、东南低的空间格局,土地利用各功能总体为"点—片"结构特征。(2)全局自相关莫兰指数表明:除了经济功能,其余功能均表现为较大的空间正相关性。局部自相关莫兰指数和LISA图显示HH区和LL区整体为对称分布。(3)影响因素具有显著的空间集聚性,自然、社会经济因素和土地利用总功能均呈正相关关系。自然因素分布与甘肃省复杂地貌形态密切相关,而社会经济因素分布与人类要素投入偏好密切相关。【结论】甘肃省土地利用多功能水平主要取决于社会经济要素投入数量分布,甘肃省各市州应充分识别不同要素对土地利用多功能性的作用强度,因地制宜地加大要素投入,从而有效率地提高土地利用多功能性。
[Purpose]The purpose of this study was to analyze the spatial heterogeneity of land use and its influencing factors can more comprehensively and deeply explore the multi-functional driving mechanism of land use. [Method]We used comprehensive evaluation method, spatial autocorrelation and geographic weighted regression.[Results](1) The spatial characteristics of land use multifunctionality in Gansu Province are significant, showing spatial agglomeration. The overall function of land use presents the spatial pattern of high in the northwest and low in the southeast, and the overall functions of the land are characterized by the "point-piece" structure.(2) The global autocorrelation Moran index shows that in addition to economic function, all other functions show a large spatial positive correlation. The local autocorrelation Moran index and LISA maps show that the HH and LL regions are symmetrically distributed as a whole.(3) The influencing factors have obvious spatial agglomeration, and there is a positive correlation between the natural, social, economic factors and the total land use function. The distribution of natural factors is closely related to the complex topography of Gansu Province, while the distribution of socio-economic factors is closely related to the preference of human factors.[Conclusion]The multifunctional level of land use in Gansu Province mainly depends on the distribution of the number of social and economic factors inputs, Gansu Province should fully identify the strengths of different factors for the versatility of land use, increase the input of factors according to local conditions, and effectively improve the versatility of land use.
[Purpose]The purpose of this study was to analyze the spatial heterogeneity of land use and its influencing factors can more comprehensively and deeply explore the multi-functional driving mechanism of land use. [Method]We used comprehensive evaluation method, spatial autocorrelation and geographic weighted regression.[Results](1) The spatial characteristics of land use multifunctionality in Gansu Province are significant, showing spatial agglomeration. The overall function of land use presents the spatial pattern of high in the northwest and low in the southeast, and the overall functions of the land are characterized by the "point-piece" structure.(2) The global autocorrelation Moran index shows that in addition to economic function, all other functions show a large spatial positive correlation. The local autocorrelation Moran index and LISA maps show that the HH and LL regions are symmetrically distributed as a whole.(3) The influencing factors have obvious spatial agglomeration, and there is a positive correlation between the natural, social, economic factors and the total land use function. The distribution of natural factors is closely related to the complex topography of Gansu Province, while the distribution of socio-economic factors is closely related to the preference of human factors.[Conclusion]The multifunctional level of land use in Gansu Province mainly depends on the distribution of the number of social and economic factors inputs, Gansu Province should fully identify the strengths of different factors for the versatility of land use, increase the input of factors according to local conditions, and effectively improve the versatility of land use.
引文
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[9]张路路,郑新奇,原智远,等.基于全排列多边形综合图示法的唐山市土地利用多功能性评价[J].中国土地科学,2016,30(6):23.DOI:10.11994/zgtdkx.20160714.151928.
[10]张路路,郑新奇,蔡玉梅,等.基于全排列多边形图示指标法的湖南省土地多功能性评价[J].水土保持研究,2016,23(5):298.DOI:10.13869/j.cnki.rswc.2016.05.039.
[11]王枫,董玉祥.基于灰色关联投影法的土地利用多功能动态评价及障碍因子诊断--以广州市为例[J].自然资源学报,2015,30(10):1698.DOI:10.11849/zrzyxb.2015.10.009.
[12]杜国明,孙晓兵,王介勇.东北地区土地利用多功能性演化的时空格局[J].地理科学进展,2016,35(2):232.DOI:10.18306/dlkxjz.2016.02.010.
[13]孙丕苓,许月卿,王数.环京津贫困带土地利用变化的地形梯度效应分析[J].农业工程学报,2017,30(4):277.DOI:10.11975/j.issn.1002-6819.2017.15.036.
[14]李广东,方创琳.城市生态-生产-生活空间功能定量识别与分析[J].地理学报,2016,71(1):49.
[15]李慧,王云鹏,李岩,等.珠江三角洲土地利用变化空间自相关分析[J].生态环境学报,2011,20(12):1879.DOI:10.3969/j.issn.1674-5906.2011.12.017.
[16]倪广亚,刘学录.基于能值分析的甘肃省耕地可持续利用时空分异研究[J].西北农林科技大学学报(自然科学版),2015,43(2):149.DOI:10.13207/j.cnki.jnwafu.2015.02.019.
[17]杨丽霞,杨桂山,姚士谋,等.基于ESDA-GWR的粮食单产及其驱动因子的空间异质性研究[J].经济地理,2012,32(6):120.DOI:10.15957/j.cnki.jjdl.2012.06.020.
[18]赖慧芳,陈凤桂.广州市土地利用变化趋势及驱动机制研究[J].热带地理,2008(5):455.DOI:10.3969/j.issn.1001-5221.2008.05.013.
[19]章波,濮励杰,黄贤金,等.城市区域土地利用变化及驱动机制研究--以长江三角洲地区为例[J].长江流域资源与环境,2005(1):28.
[20]贾科利,常庆瑞,张俊华.陕北农牧交错带土地利用变化及驱动机制分析[J].资源科学,2008(7):1053.DOI:10.3321/j.issn:1007-7588.2008.07.014.
[2]PARACCHINI M L,PACINI C,JONES M,et al.An aggregation framework to link indicators associated with multifunctional land use to the stakeholder evaluation of policy options[J].Ecological Indicators,2011,11(1):71.DOI:10.1016/j.ecolind.2009.04.006.
[3]HEMLMING K,DILLY K,BACH H,et al.Exante impact assessment of policies affecting land use,part A:analytical framework[J].Ecology and Society,2011,16(1):27.DOI:10.5751/es-03839-160127.
[4]黄安,许月卿,郝晋珉,等.土地利用多功能性评价研究进展与展望[J].中国土地科学,2017,31(4):88.DOI:10.11994/zgtrlkx.20170315.133056.
[5]GROOT R D.Function-analysis and valuation as a tool to assess land use conflicts in planning for sustainable,multi-functional landscapes[J].Landscape&Urban Planning,2006,75(3):175.DOI:10.1016/j.landurbplan.2005.02.016.
[6]HELMING K,DIEHL K,KUHLMAN T,et al.Exante impact assessment of policies affecting land use,part B:application of the analytical framework[J].Ecology and Society,2011,16(1):637.DOI:10.5751/es-03840-160129.
[7]甄霖,曹淑艳,魏云洁,等.土地空间多功能利用:理论框架及实证研究[J].资源科学,2009,31(4):544.DOI:10 .3321/j.issn:1007-7588.2009.04.003.
[8]陈睿山,蔡运龙,严祥,等.土地系统功能及其可持续性评价[J].中国土地科学,2011,25(1):8.DOI:10.13708/j.cnki.cn11-2640.2011.01.004.
[9]张路路,郑新奇,原智远,等.基于全排列多边形综合图示法的唐山市土地利用多功能性评价[J].中国土地科学,2016,30(6):23.DOI:10.11994/zgtdkx.20160714.151928.
[10]张路路,郑新奇,蔡玉梅,等.基于全排列多边形图示指标法的湖南省土地多功能性评价[J].水土保持研究,2016,23(5):298.DOI:10.13869/j.cnki.rswc.2016.05.039.
[11]王枫,董玉祥.基于灰色关联投影法的土地利用多功能动态评价及障碍因子诊断--以广州市为例[J].自然资源学报,2015,30(10):1698.DOI:10.11849/zrzyxb.2015.10.009.
[12]杜国明,孙晓兵,王介勇.东北地区土地利用多功能性演化的时空格局[J].地理科学进展,2016,35(2):232.DOI:10.18306/dlkxjz.2016.02.010.
[13]孙丕苓,许月卿,王数.环京津贫困带土地利用变化的地形梯度效应分析[J].农业工程学报,2017,30(4):277.DOI:10.11975/j.issn.1002-6819.2017.15.036.
[14]李广东,方创琳.城市生态-生产-生活空间功能定量识别与分析[J].地理学报,2016,71(1):49.
[15]李慧,王云鹏,李岩,等.珠江三角洲土地利用变化空间自相关分析[J].生态环境学报,2011,20(12):1879.DOI:10.3969/j.issn.1674-5906.2011.12.017.
[16]倪广亚,刘学录.基于能值分析的甘肃省耕地可持续利用时空分异研究[J].西北农林科技大学学报(自然科学版),2015,43(2):149.DOI:10.13207/j.cnki.jnwafu.2015.02.019.
[17]杨丽霞,杨桂山,姚士谋,等.基于ESDA-GWR的粮食单产及其驱动因子的空间异质性研究[J].经济地理,2012,32(6):120.DOI:10.15957/j.cnki.jjdl.2012.06.020.
[18]赖慧芳,陈凤桂.广州市土地利用变化趋势及驱动机制研究[J].热带地理,2008(5):455.DOI:10.3969/j.issn.1001-5221.2008.05.013.
[19]章波,濮励杰,黄贤金,等.城市区域土地利用变化及驱动机制研究--以长江三角洲地区为例[J].长江流域资源与环境,2005(1):28.
[20]贾科利,常庆瑞,张俊华.陕北农牧交错带土地利用变化及驱动机制分析[J].资源科学,2008(7):1053.DOI:10.3321/j.issn:1007-7588.2008.07.014.
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