唐秀美,郝星耀,刘玉,潘瑜春,李虹.生态系统服务价值驱动因素与空间异质性分析[J].农业机械学报,2016,47(5):336-342.
Tang Xiumei,Hao Xingyao,Liu Yu,Pan Yuchun,Li Hong.Driving Factors and Spatial Heterogeneity Analysis of Ecosystem Services Value[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(5):336-342.
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生态系统服务价值驱动因素与空间异质性分析   [下载全文]
Driving Factors and Spatial Heterogeneity Analysis of Ecosystem Services Value   [Download Pdf][in English]
投稿时间:2015-11-20  
DOI:10.6041/j.issn.1000-1298.2016.05.046
中文关键词:  生态系统服务价值  STIRPAT模型  驱动因素  空间异质性
基金项目:国家自然科学基金项目(41301093)
作者单位
唐秀美 北京农业信息技术研究中心
国家农业信息化工程技术研究中心 
郝星耀 北京农业信息技术研究中心
国家农业信息化工程技术研究中心 
刘玉 北京农业信息技术研究中心
国家农业信息化工程技术研究中心 
潘瑜春 北京农业信息技术研究中心
国家农业信息化工程技术研究中心 
李虹 北京农业信息技术研究中心
国家农业信息化工程技术研究中心 
中文摘要:以北京市为例,采用STIRPAT模型和地理加权回归模型分析了区域生态系统服务价值的驱动因素及空间差异。结果显示,人口数量、人均GDP、绿化率、第三产业比重、万元GDP能耗和城市化率都是影响北京市生态系统服务价值的重要驱动因素,其中绿化率是正向影响,其他5个指标对生态系统服务价值有负面影响,其中第三产业比重和城市化率的负面影响最大。加入空间距离和局域空间联系因素,对分区的生态系统服务价值驱动因素进行分析发现,北京市不同区的驱动因素的影响程度不同,各个驱动因素中,城市功能扩展区和城市发展新区的影响要高于生态涵养发展区。通过对驱动因素的定量测算及分区空间异质性分析,提出了北京市不同区域的提高生态系统服务价值的相关措施。
Tang Xiumei  Hao Xingyao  Liu Yu  Pan Yuchun  Li Hong
Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture,Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture,Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture,Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture and Beijing Research Center for Information Technology in Agriculture;National Engineering Research Center for Information Technology in Agriculture
Key Words:ecosystem services value  STIRPAT model  driving factor  spatial heterogeneity
Abstract:Ecosystem services value pressure has different driving factors and shows differences in different regions. Taking Beijing City as the study area, considering the spatial distance and local spatial connection factors, this paper explores the driving factors and spatial heterogeneity analysis of ecosystem services value based on STIRPAT model. The factors chosen in the paper are population, per capita GDP, green rate, the proportion of the third industry, the total energy consumption per capita and urbanization rate. The result shows that, population, per capita GDP, green rate, the proportion of the third industry, the total energy consumption per capita and urbanization rateare the important driving factors that affect the value of ecosystem services in Beijing City, and the green rate is positive, the other indicators have a negative impact on the per capita ecosystem service value, in which, the influence of the proportion of the third industry and urbanization rateare the maximum two factors. The relationship between ecosystem services value and its driving factors is very complicated, so this paper takes geographical space effects into the STIRPAT model, and the driving factors of each district is gotten, By analyzing the driving factors of the ecosystem services value of each district, the influence of the driving factors in different regions of Beijing is great. Generally speaking,the influence of the urban expansion area and the urban development zone is higher than that of the ecological conservation area. Based on quantitative analysis of the driving factors and spatial heterogeneity analysis, the relevant measures to improve the service value of the ecosystem services in different regions of Beijing were proposed.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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