PAN Yue,WANG Jin,LI Jingxi,et al.Spatial and Temporal Evolution and Driving Analysis of Green Space Ecosystem Service Value of Urban Agglomeration in Central Yunnan[J].Research of Soil and Water Conservation,2023,30(02):352-360.[doi:10.13869/j.cnki.rswc.2023.02.048]
滇中城市群绿色空间生态系统服务价值时空演变及驱动分析
- Title:
- Spatial and Temporal Evolution and Driving Analysis of Green Space Ecosystem Service Value of Urban Agglomeration in Central Yunnan
- 文章编号:
- 1005-3409(2023)02-0352-09
- Keywords:
- Central Yunnan Urban Agglomeration; green space; ecosystem service value; driving factors; geographically weighted regression
- 分类号:
- P901
- 文献标志码:
- A
- 摘要:
- 对滇中城市群绿色空间生态系统服务价值(Ecosystem Service value,ESV)进行时空演变及驱动因素的探析,有利于了解区域生态系统服务空间差异,有助于规划者从宏观层面掌握滇中城市群的自然资源情况,合理地制定规划建设策略。研究以滇中城市群49个区、县、市作为研究单元,对2000年、2010年、2019年3期的ESV进行量化,并收集“自然—社会—经济”维度的驱动因子,采用主成分分析与地理加权回归探讨“自然—社会—经济”因素对滇中城市群绿色空间ESV的驱动作用。结果表明:(1)2000—2019年滇中城市群绿色空间的ESV总体呈现增加状态,一级服务类型中,供给、支持和文化服务小幅度上升,调节服务小幅度下降,二级服务类型中,气候与水文调节对生态系统服务功能的贡献最大,其次为土壤保持、生物多样性和气体调节;(2)3期ESV空间分布特征较为一致,呈现城市群边缘地区的ESV高于城市群中部地区的ESV的特征;(3)社会因素对滇中城市群绿色空间的ESV的时空演变影响最大、其次为自然因素和经济因素,主要驱动因子为城镇化率、人均GDP、人口密度、森林覆盖率、第二产业占比。(4)城镇化率、人口密度及第二产业占比呈现两极化驱动特征; 人均GDP呈现负向驱动特征; 森林覆盖率呈现正向驱动特征。综上,近20年滇中城市群绿色空间的ESV增加,其变化主要受社会因素影响。研究可为滇中城市群的可持续发展提供参考。
- Abstract:
- The analysis of the temporal and spatial evolution and driving factors of the green space ecosystem service value(ESV)of Central Yunnan Urban Agglomeration is conducive to understanding the spatial differences of regional ecosystem services, helps planners master the natural resources of Central Yunnan Urban Agglomeration from the macro level, and reasonably formulates planning and construction strategies. Taking 49 districts, counties and cities of Central Yunnan Urban Agglomeration as research units, we quantified the ESV in three periods of 2000, 2010 and 2019, collected the driving factors of ‘nature society economy' dimension, and used principal component analysis and geographic weighted regression to explore the driving effect of ‘nature society economy' factors on the green space ESV of Central Yunnan Urban Agglomeration. The results show that:(1)from 2000 to 2019, the ESV of green space in Central Yunnan Urban Agglomeration generally increased; in the primary service types, the supply, support and cultural services increased slightly, and the regulation services decreased slightly; In the secondary service types, climate and hydrological regulation contributed the most to the ecosystem service function, followed by soil conservation, biodiversity and gas regulation;(2)the spatial distribution characteristics of ESV in the three phases were relatively consistent, showing that the ESV in the marginal area of urban agglomeration was higher than that in the central area of urban agglomeration;(3)social factors had the greatest impact on the temporal and spatial evolution of ESV in green space of urban agglomeration in Central Yunnan, followed by natural factors and economic factors; the main driving factors were urbanization rate, per capita GDP, population density, forest coverage and the proportion of secondary industry;(4)the urbanization rate, population density and the proportion of secondary industry showed the characteristics of two-level driving; per capita GDP showed negative driving characteristics; the forest coverage showed positive driving characteristics. In summary, the ESV of green space in the Central Yunnan Urban Agglomeration has increased in the last 20 years, and its changes are mainly influenced by social factors. This study can provide a reference for the sustainable development of the Central Yunnan Urban Agglomeration.
参考文献/References:
[1] Daily G C. Nature's Services: Societal Dependence on Natural Ecosystems[M]. Washington DC: Island Press, 1997:122-134.
[2] Chen W, Chi G, Li J. Ecosystem services and their driving forces in the middle reaches of the Yangtze River Urban Agglomerations, China[J]. International Journal of Environmental Research and Public Health, 2020,17(10):1-19.
[3] Millennium Ecosystem Assessment. Ecosystems and Human Well-Being[M]. Washington, DC: Island Press, 2005:137.
[4] Costanza R, Arge, Groot R D, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997,387(15):253-260.
[5] 欧阳志云,王效科,苗鸿.中国陆地生态系统服务功能及其生态经济价值的初步研究[J].生态学报,1999,19(5):607-613.
[6] 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.
[7] 谢高地,张彩霞,张雷明,等.基于单位面积价值当量因子的生态系统服务价值化方法改进[J].自然资源学报,2015,30(8):1243-1254.
[8] 谢高地,张彩霞,张昌顺,等.中国生态系统服务的价值[J].资源科学,2015,37(9):1740-1746.
[9] 徐煖银,郭泺,薛达元,等.赣南地区土地利用格局及生态系统服务价值的时空演变[J].生态学报,2019,39(6):1969-1978.
[10] 李辉,张晓媛,国洪磊.基于土地利用的三峡库区近30年生态系统服务价值时空变化特征[J].水土保持研究,2021,28(2):309-318.
[11] 丁梦婷,裴凤松,胡引翠,等.基于LUCC的江苏省生态系统服务价值时空变化特征研究[J].生态学报,2020,40(19):6801-6811.
[12] 陈万旭,刘志玲,李江风,等.长江中游城市群生态系统服务和城镇化之间的空间关系研究[J].生态学报,2020,40(15):5137-5150.
[13] 王永琪,马姜明.基于县域尺度珠江—西江经济带广西段土地利用变化对生态系统服务价值的影响研究[J].生态学报,2020,40(21):7826-7839.
[14] 李子君,刘金玉,姜爱霞,等.基于土地利用的祊河流域生态系统服务价值动态变化[J].水土保持研究,2020,27(2):269-275,283.
[15] 毛诚瑞,代力民,齐麟,等.基于生态系统服务的流域生态安全格局构建:以辽宁省辽河流域为例[J].生态学报,2020,40(18):6486-6494.
[16] 刁震,王文渊,彭云,等.港口区域生态系统服务价值评估及驱动因子分析[J].港工技术,2019,56(1):50-54.
[17] 潘梅,陈天伟,黄麟,等.京津冀地区生态系统服务时空变化及驱动因素[J].生态学报,2020,40(15):5151-5167.
[18] 欧朝蓉,清科,孙永玉.元谋干热河谷生态交错带森林生态系统服务价值空间分异特征[J].应用与环境生物学报,2021,27(2):357-365.
[19] 茹克亚·萨吾提,阿斯娅·曼力克,李虎,等.乌鲁木齐山地草地生态系统服务价值变化评估:基于遥感与GIS[J].生态学报,2020,40(2):522-539.
[20] 张敏,宫兆宁,赵文吉.近30年来白洋淀湿地演变驱动因子分析[J].生态学杂志,2016,35(2):499-507.
[21] 乔旭宁,顾羊羊,唐宏,等.渭干河流域农田生态系统服务价值变化及其影响因素分析[J].干旱地区农业研究,2015,33(2):337-345.
[22] Xiao S, Crittenden J C, Feng L, et al. Urban expansion simulation and the spatio-temporal changes of ecosystem services, a case study in Atlanta Metropolitan area, USA[J]. Science of the Total Environment, 2018,622/623:974-987.
[23] Li T, Jing L, Wang Y. Carbon sequestration service flow in the Guanzhong-Tianshui economic region of China:How it flows, what drives it, and where could be optimized?[J]. Ecological Indicators, 2019,96:548-558.
[24] 严恩萍,林辉,王广兴,等.1990 colo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.
[25] 谢高地,肖玉,鲁春霞.生态系统服务研究:进展,局限和基本范式[J].植物生态学报,2006,30(2):191-199.
[26] 韩依纹,戴菲.城市绿色空间的生态系统服务功能研究进展:指标、方法与评估框架[J].中国园林,2018,34(10):61-66.
[27] 支林蛟,王锦,刘敏,等.滇中城市群绿色空间格局动态变化多尺度研究[J].西南林业大学学报(自然科学),2021,41(5):88-97.
[28] 刘庆,李伟,陆兆华.基于遥感与GIS的黄河三角洲绿色空间生态服务价值评估[J].生态环境学报,2010,19(8):1838-1843.
[29] Pulighe G, Fava F, Lupia F. Insights and opportunities from mapping ecosystem services of urban green spaces and potentials in planning[J]. Ecosystem Services, 2016,22(Part A):1-10.
[30] 向勤,菊春燕.城市化背景下乌鲁木齐市的绿色空间生态服务价值研究[J].环境污染与防治,2021,43(10):1329-1332.
[31] 余新晓,鲁绍伟,靳芳,等.中国森林生态系统服务功能价值评估[J].生态学报,2005,25(8):2096-2102.
[32] 李方正,解爽,李雄.基于多源数据分析的北京市中心城绿色空间时空演变研究(1992—2016)[J].风景园林,2018,25(8):46-51.
[33] 张彪,徐洁,谢高地,等.2000—2010年北京城市绿色空间格局动态分析[J].生态科学,2016,35(6):24-33.
[34] 谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J].自然资源学报,2003,18(2):189-198.
[35] 井睿,张蚌蚌,赵敏娟,等.近35年中国耕地集约度时空变化特征分析[J].水土保持研究,2019,26(5):353-358+365.
[36] 徐启恒,黄滢冰.珠三角典型地区城市扩张测度及驱动机制分析[J].测绘科学,2018,43(1):45-53.
[37] 高啸峰,王树德,宫阿都,等.基于主成分分析法的土地利用/覆被变化驱动力研究[J].地理与地理信息科学,2009,25(1):36-39.
[38] 罗耀文,任周鹏,葛咏,等.基于PCA-GWR方法的村级贫困时空格局及致贫因素分析[J].地球信息科学学报,2020,22(2):231-245.
[39] 刘潇,薛莹,纪毓鹏,等.基于主成分分析法的黄河口及其邻近水域水质评价[J].中国环境科学,2015,35(10):3187-3192.
[40] 臧亮,梁红颖,梁文涛,等.基于景观格局的卢龙县耕地细碎化评价及影响因素研究[J].水土保持研究,2018,25(6):265-269,276.
[41] 邵明,宇翔,林辰松.基于GWR模型的成渝城市群生态系统服务时空演变及驱动因素研究[J].北京林业大学学报,2020,42(11):118-129.
[42] 闻熠,高峻,姚扬,等.基于改进参数的长三角城市群生态足迹时空动态及驱动因子分析[J].环境工程技术学报,2020,10(1):133-141.
[43] 乔拥军,张天中.基于主成分分析的榆中县土地利用驱动因子分析[J].甘肃农业科技,2015(10):16-19.
相似文献/References:
[1]陈仙春,赵俊三,陈国平.基于“三生空间”的滇中城市群土地利用空间结构多尺度分析[J].水土保持研究,2019,26(05):258.
CHEN Xianchun,ZHAO Junsan,CHEN Guoping.Analysis of Multi-Scale Spatial Structure of Land Use Based on Ecological-Production-Living Spaces in Urban Agglomeration Area of Central Yunnan[J].Research of Soil and Water Conservation,2019,26(02):258.
备注/Memo
收稿日期:2021-12-29 修回日期:2022-01-22
资助项目:云南省农业联合资助项目(2018FG001-099); 国家自然科学基金项目(42061074,41701470)
第一作者:潘悦(2000—),女,云南昭通人,硕士研究生,研究方向为大地景观规划与生态修复。E-mail:1720323695@qq.com
通信作者:刘敏(1987—),女,湖南冷水江人,博士,博士后,副教授。研究方向为绿色基础设施理论,绿色空间优化,生态规划设计,生态修复。E-mail:minliu_facp@kust.edu.cn