武汉城市圈生态服务价值时空演变分析及影响因素
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摘要
基于2005—2015年武汉城市圈土地利用变化过程,采用专家打分法对"中国生态系统单位面积生态服务价值当量表"进行修订,定量测算生态服务价值(ESV,Ecological Service Values)并比较不同功能与服务,分析武汉城市圈ESV的时空演变特征,以生态服务估算价值为基础构造了经济、景观与ESV三者之间的双对数空间回归计量模型;挖掘ESV时空变化的驱动因素,为区域生态系统管理提供科学基础。研究结果表明:2005—2015年间,武汉城市圈ESV逐年减少,2005年为176.175亿元,2010年为169.296亿元,2015年为153.717亿元;ESV在空间上呈现较为显著的地区空间差异,呈现以武汉市区为圆心的由外向内环层递减结构;从不同功能价值和单项服务来看,区域生态功能的调节服务>文化服务>供给服务,其中食物生产又是最为主要的单项服务功能,且在历年价值逐渐减少的同时保持相对稳定变化;驱动力影响机理的研究结果表明,生态服务价值总量与单项服务价值均与农村居民人均可支配收入和景观AI(Agglomeration Index)聚集度指数呈显著的负相关关系,与农业总产值显著正相关。社会经济的快速发展和区域景观格局的改变影响着生态系统的格局特征与生态过程,社会经济发展与景观演变一起共同影响与作用于生态服务功能并表征于货币经济核算价值的相对正负变化,为开展区域生态功能保护与补偿、促进区域性可持续发展提供了科学参考。
On the basis of the land use change process in Wuhan Urban Agglomeration between 2005 and 2015, the "Evaluation Table of Ecological Service Value per Unit of China′s Ecosystem" was revised using the expert scoring method to quantitatively measure the value of ecological services and compare different functions and services in Wuhan Urban Agglomeration. We analyzed the spatial and temporal change of service value and constructed a double-logarithmic spatial regression measurement model for economy, landscape and ESV(Ecological Service Values) on the basis of the estimated value of the ecological services. We explored the driving influence factors, which would provide a scientific basis for regional ecosystem management. The results show that from 2005 to 2015, the ESV in Wuhan Urban Agglomeration decreased on a yearly basis, from 17.617 billion Yuan in 2005 to 16.729 billion Yuan in 2010 and 15.3717 billion Yuan in 2015. The spatial difference is prominent in terms of ESV. The declining pattern from the outer to the inner ring is shown in Wuhan. With respect to different functions and individual service, the regional ecological function adjustment service value is larger than that in cultural service and in supply service, in which food production was the most important single service function. The value gradually declined and showed relatively stable changes over the years. The results also showed that the primary influencing factors of the total ecological service value and individual service value are both per capita disposable income for rural residents and the AI(aggregation index) index of rural areas, which exhibit significant negative correlation. Significant positive correlation coefficients were observed with agricultural output. Rapid socio-economic development and changes in the regional landscape pattern affect the pattern characteristics and ecological processes of ecosystems. Socio-economic development and landscape evolution together affect the function of ecological services and manifest these influences in the form of the positive and negative changes in monetary and economic accounting values. The result provides a scientific reference for the protection and compensation of regional ecological functions and the promotion of regional sustainable development.
On the basis of the land use change process in Wuhan Urban Agglomeration between 2005 and 2015, the "Evaluation Table of Ecological Service Value per Unit of China′s Ecosystem" was revised using the expert scoring method to quantitatively measure the value of ecological services and compare different functions and services in Wuhan Urban Agglomeration. We analyzed the spatial and temporal change of service value and constructed a double-logarithmic spatial regression measurement model for economy, landscape and ESV(Ecological Service Values) on the basis of the estimated value of the ecological services. We explored the driving influence factors, which would provide a scientific basis for regional ecosystem management. The results show that from 2005 to 2015, the ESV in Wuhan Urban Agglomeration decreased on a yearly basis, from 17.617 billion Yuan in 2005 to 16.729 billion Yuan in 2010 and 15.3717 billion Yuan in 2015. The spatial difference is prominent in terms of ESV. The declining pattern from the outer to the inner ring is shown in Wuhan. With respect to different functions and individual service, the regional ecological function adjustment service value is larger than that in cultural service and in supply service, in which food production was the most important single service function. The value gradually declined and showed relatively stable changes over the years. The results also showed that the primary influencing factors of the total ecological service value and individual service value are both per capita disposable income for rural residents and the AI(aggregation index) index of rural areas, which exhibit significant negative correlation. Significant positive correlation coefficients were observed with agricultural output. Rapid socio-economic development and changes in the regional landscape pattern affect the pattern characteristics and ecological processes of ecosystems. Socio-economic development and landscape evolution together affect the function of ecological services and manifest these influences in the form of the positive and negative changes in monetary and economic accounting values. The result provides a scientific reference for the protection and compensation of regional ecological functions and the promotion of regional sustainable development.
引文
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[2] 刘家根, 黄璐, 严力蛟. 生态系统服务对人类福祉的影响——以浙江省桐庐县为例. 生态学报, 2018, 38(5): 1687-1697.
[3] 严恩萍, 林辉, 王广兴, 夏朝宗. 1990—2011年三峡库区生态系统服务价值演变及驱动力. 生态学报, 2014, 34(20): 5962-5973.
[4] 曾杰, 李江风, 姚小薇. 武汉城市圈生态系统服务价值时空变化特征. 应用生态学报, 2014, 25(3): 883-891.
[5] 刘桂林, 张落成, 张倩. 长三角地区土地利用时空变化对生态系统服务价值的影响. 生态学报, 2014, 34(12): 3311-3319.
[6] 王丽群, 张志强, 李格, 马丰伟, 陈立欣. 北京边缘地区景观格局变化及对生态系统服务的影响评价——以牛栏山-马坡镇为例. 生态学报, 2018, 38(3): 750-759.
[7] 彭文甫, 周介铭, 杨存建, 赵景峰, 罗怀良. 基于土地利用变化的四川省生态系统服务价值研究. 长江流域资源与环境, 2014, 23(7): 1053-1062.
[8] H?yh? T, Franzese P P. Ecosystem services assessment: A review under an ecological-economic and systems perspective. Ecological Modelling, 2014, 289: 124-132.
[9] Wu X, Liu S L, Zhao S, Hou X Y, Xu J W, Dong S K, Liu G H. Quantification and driving force analysis of ecosystem services supply, demand and balance in China. Science of the Total Environment, 2019, 652: 1375-1386.
[10] 许丽敏, 李虎, 陈冬花, 叶李灶, 李建贵, 赵俊鹏. 生态服务价值时空变化特征及其驱动力——以新疆博州为例. 亚热带资源与环境学报, 2018, 13(1): 66-74.
[11] Costanza R, d′Arge R, de Groot R, Farber S, Grasso M, Hannon B, Limburg K, Naeem S, O′Neill R V, Paruelo J, Raskin R G, Sutton P, van den Belt M. The value of the world′s ecosystem services and natural capital. Nature, 1997, 387(6630): 253-260.
[12] Li G D, Fang C L, Wang S J. Exploring spatiotemporal changes in ecosystem-service values and hotspots in China. Science of the Total Environment, 2016, 545-546: 609-620.
[13] 曹莹, 汤臣栋, 马强, 薛建辉. 上海崇明县湿地生态系统服务功能价值评价. 南京林业大学学报: 自然科学版, 2017, 41(1): 28-34.
[14] 杨锁华, 胡守庚, 瞿诗进. 1990-2014年长江中游经济带生态系统服务价值时空变化特征. 水土保持研究, 2018, 25(3): 164-169.
[15] 王航, 秦奋, 朱筠, 张传才. 土地利用及景观格局演变对生态系统服务价值的影响. 生态学报, 2017, 37(4): 1286-1296.
[16] 张天海, 田野, 徐舒, 唐立娜, 郭蔚. 滨海城市土地利用格局演变及对生态系统服务价值的影响. 生态学报, 2018(21): 1-9[2018-12-02]. http://kns.cnki.net/kcms/detail/11.2031.Q.20180808.1352.026.html.
[17] 谢高地, 曹淑艳, 冷允法, 张昌顺, 盖力强, 鲁春霞, 章予舒. 中国可持续发展功能分区. 资源科学, 2012, 34(9): 1600-1608.
[18] 谢高地, 甄霖, 鲁春霞, 肖玉, 陈操. 一个基于专家知识的生态系统服务价值化方法. 自然资源学报, 2008, 23(5): 911-919.
[19] 杨肃昌, 刘巍文. 基于价值当量对水电开发影响生态系统服务价值的评价——以甘南九甸峡工程为例. 中南大学学报: 社会科学版, 2018, 24(1): 78-85.
[20] 肖强, 肖洋, 欧阳志云, 徐卫华, 向轼, 李勇志. 重庆市森林生态系统服务功能价值评估. 生态学报, 2014, 34(1): 216-223.
[21] 毛碧琦, 敖长林, 焦扬, 高琴, 刘玉星. 基于选择实验的三江平原湿地生态系统服务功能价值评价及偏好异质性研究. 生态学报, 2017, 37(4): 1297-1308.
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