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[1]WU Yan,WU Yingmei,GAO Binpin,et al.Spatial Relationship Between Human Activity Intensities and Ecosystem Services Value in Chengdu-Chongqing Urban Agglomeration[J].Research of Soil and Water Conservation,2023,30(01):173-182.[doi:10.13869/j.cnki.rswc.2023.01.018]

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Spatial Relationship Between Human Activity Intensities and Ecosystem Services Value in Chengdu-Chongqing Urban Agglomeration

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 01 Page number: 173-182 Column: Public date: 2023-01-10

Title:: Spatial Relationship Between Human Activity Intensities and Ecosystem Services Value in Chengdu-Chongqing Urban Agglomeration

Author(s):: WU Yan¹, WU Yingmei¹, GAO Binpin¹, LI Chen¹, ZHENG Kejun^1,2, LI Chan¹; (1.Faculty of Geography, Yunnan Normal University, Kunming, Yunnan 650500, China; 2.Yunnan Academy of Social Sciences, Kunming, Yunnan 650000, China)

Keywords:: ecosystem services value; human activity intensity; bivariate spatial autocorrelation; multi-scale geographically weighted regression(MGWR)model; Chengdu-Chongqing Urban Agglomeration

CLC:: F061.5

DOI:: 10.13869/j.cnki.rswc.2023.01.018

Abstract:: Scientifically revealing the spatial relationship between the ecosystem services value and the human activity intensity index is of great significance to land management and urban planning. Taking the Chengdu-Chongqing Urban Agglomeration an example, based on the three phases of land use data in 2000, 2010, and 2018, we constructed a land use transfer matrix, ecosystem service value evaluation model, flow profit and loss model, and human activity intensity index evaluation model, and comprehensively used the multi-scale geographically weighted regression(MGWR) model to explore the spatial relationship between the human activity intensity index and ecosystem services value in the Chengdu-Chongqing Urban Agglomeration area, and revealed the profound impact. The results show that:(1)the ecosystem services value dropped from 5.064 6×10¹¹ yuan to 5.061 27×10¹¹ yuan during 2000—2018; excessive occupation of cultivated land by construction land had become the main reason for the decrease in ecosystem service value;(2)during the years 2000—2018, the human activity intensity index showed the spatial characteristics of ‘dual-core circle'; The areas with strong human activity mainly concentrated in Chengdu and Chongqing, and the intensity of human activities in the marginal areas was weak;(3)the increased intensity of human activities would lead to decrease of ecosystem service value; there was a significant negative spatial correlation between the service value and the decline in the central region; the overall negative effect intensified from 2000 to 2018. Studies have shown that returning farmland to forests and vegetation restoration are critical to the restoration of regional ecosystems. In the future, more attention should be paid to regional ecological protection, reasonable planning measures should be formulated, and the integration of green and sustainable development of urban agglomerations should be built together.

References:: [1] Li S, Wu J, Gong J, et al. Human footprint in Tibet:Assessing the spatial layout and effectiveness of nature reserves[J]. Science of the Total Environment, 2018,621:18-29.
[2] 方创琳.改革开放40年来中国城镇化与城市群取得的重要进展与展望[J].经济地理,2018,38(9):1-9.
[3] 陈万旭,李江风,曾杰,等.中国土地利用变化生态环境效应的空间分异性与形成机理[J].地理研究,2019,38(9):2173-2187.
[4] 徐勇,孙晓一,汤青.陆地表层人类活动强度:概念、方法及应用[J].地理学报,2015,70(7):1068-1079.
[5] 曾辉,郭庆华,喻红.东莞市风岗镇景观人工改造活动的空间分析[J].生态学报,1999,19(3):298-303.
[6] Costanza R, d'Arge R, De Groot R, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997,387(6630):253-260.
[7] Small N, Munday M, Durance I. The challenge of valuing ecosystem services that have no material benefits[J]. Global Environmental Change, 2017,44:57-67.
[8] Reid W V, Mooney H A, Cropper A, et al. Ecosystems and human well-being-Synthesis: A report of the Millennium Ecosystem Assessment[M]. Washington DC:Island Press, 2005.
[9] 张彩霞,谢高地,杨勤科,等.人类活动对生态系统服务价值的影响:以纸坊沟流域为例[J].资源科学,2008,30(12):1910-1915.
[10] 陈浮,葛小平,陈刚,等.城市边缘区景观变化与人为影响的空间分异研究[J].地理科学,2001,21(3):210-216.
[11] 郭少壮,白红英,孟清,等.1980—2015年秦岭地区景观格局变化及其对人为干扰的响应[J].应用生态学报,2018,29(12):4080-4088.
[12] 朱纹君,韩美,孔祥伦,等.1990—2018年黄河三角洲人类活动强度时空格局演变及其驱动因素[J].水土保持研究,2021,28(5):287-292.
[13] 傅伯杰,张立伟.土地利用变化与生态系统服务:概念、方法与进展[J].地理科学进展,2014,33(4):441-446.
[14] Burkhard B, Petrosillo I, Costanza R. Ecosystem services-bridging ecology, economy and social sciences[J]. Ecological Complexity, 2010,7(3):257-259.
[15] 贾艳艳,唐晓岚,张卓然.长江中下游流域自然保护地空间分布及其与人类活动强度关系研究[J].世界地理研究,2020,29(4):845-855.
[16] 李海萍,王娜萍,代宇庭.云贵高原湿地景区人类活动强度的空间分布:以云南省拉市海流域为例[J].应用生态学报,2021,32(8):2915-2922.
[17] 温小洁,姚顺波.黄河中上游植被覆盖与人类活动强度的时空动态演化[J].福建农林大学学报:自然科学版,2018,47(5):607-614.
[18] 南箔,杨子寒,毕旭,等.生态系统服务价值与人类活动的时空关联分析:以长江中游华阳河湖群地区为例[J].中国环境科学,2018,38(9):3531-3541.
[19] 李理,朱连奇,朱文博,等.生态系统服务价值与人类活动强度关联性分析及权衡:以淇河流域为例[J].中国环境科学,2020,40(1):365-374.
[20] 王庭辉,王喜,秦耀辰,等.丹江口库区生态系统服务价值与人类活动时空关联分析[J].长江流域资源与环境,2021,30(2):330-341.
[21] Zhao J, Chen S, Jiang B, et al. Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades[J]. Science of the Total Environment, 2013,442:455-465.
[22] 曾鹏,朱玉鑫.中国十大城市群生态发展状况比较研究[J].地域研究与开发,2013,32(1):45-51.
[23] Yang Y, Liu Y, Li Y, et al. Measure of Urban-rural Transformation in Beijing-tianjin-hebei Region in the New Millennium:Population-land-industry Perspective[J]. Land Use Policy, 2018,79:595-608.
[24] 中华人民共和国国家发展和改革委员会.成渝城市群发展规划[EB/OL].( 2016-05-04)[2020-12-07].
[25] 谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,23(5):911-919.
[26] 谢高地,肖玉,甄霖,等.我国粮食生产的生态服务价值研究[J].中国生态农业学报,2005,13(3):10-13.
[27] 荣益,李超,许策,等.城镇化过程中生态系统服务价值变化及人类活动影响的空间分异:以黄骅市为例[J].生态学杂志,2017,36(5):1374-1381.
[28] 梁发超,刘黎明.景观格局的人类干扰强度定量分析与生态功能区优化初探:以福建省闽清县为例[J].资源科学,2011,33(6):1138-1144.
[29] 严恩萍,林辉,王广兴,等.1990—2011年三峡库区生态系统服务价值演变及驱动力[J].生态学报,2014,34(20):5962-5973.
[30] 高彬嫔,李琛,吴映梅,等.川滇生态屏障区景观生态风险评价及影响因素[J].应用生态学报,2021,32(5):1603-1613.
[31] 周婷,陈万旭,李江风,等.神农架林区人类活动与生境质量的空间关系[J].生态学报,2021,41(15):6134-6145.
[32] 乔斌,祝存兄,曹晓云,等.格网尺度下青海玛多县土地利用及生态系统服务价值空间自相关分析[J].应用生态学报,2020,31(5):1660-1672.
[33] 王俊秀,牟凤云,田甜,等.成渝城市群黑碳气溶胶的时空分异特征及其对土地利用/土地覆被变化(LUCC)的响应[J].生态与农村环境学报,2021,37(6):724-732.
[34] 张宏锋,欧阳志云,郑华.生态系统服务功能的空间尺度特征[J].生态学杂志,2007,26(9):1432-1437.
[35] 沈体雁,于瀚辰,周麟,等.北京市二手住宅价格影响机制:基于多尺度地理加权回归模型(MGWR)的研究[J].经济地理,2020,40(3):75-83.
[36] 吴琳娜,杨胜天,刘晓燕,等.1976年以来北洛河流域土地利用变化对人类活动程度的响应[J].地理学报,2014,69(1):54-63.

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Last Update: 2023-01-10