Estimation and Analysis of Ecosystem Service Value Based on Grid Scale

被引:0
|
作者
Tang X. [1 ,2 ]
Liu Y. [1 ,2 ]
Liu X. [3 ]
Pan Y. [1 ,2 ]
Wu Y. [4 ]
Li H. [1 ,2 ]
机构
[1] Beijing Research Center for Information Technology in Agriculture, Beijing
[2] National Engineering Research Center for Information Technology in Agriculture, Beijing
[3] Center of Land Consolidation, Ministry of Land and Resources, Beijing
[4] Beijing Academy of Agriculture and Forestry Sciences, Beijing
关键词
Ecosystem service value; Evaluation; GIS; Grid;
D O I
10.6041/j.issn.1000-1298.2017.04.019
中图分类号
学科分类号
摘要
The regional ecosystem service value of Haidian District in Beijing was estimated in the 500 m×500 m grid scale by using present regional land use data. The research area was divided into different types of sub-regions according to the distribution of ecosystem service values. The land use structure and landscape pattern of different sub-regions were analyzed through the software of GIS and FRAGSTAS. The results showed that the ecosystem service value of Haidian District was ranged from -2.35 million yuan to 2.08 million yuan, which was increased from the south to northwest. The land use structure and ecosystem service value were different in different sub-regions. The main land use types were urban green space in high value regions, cultivated land and forest land in mid value regions and construction land in low value regions. There were also large differences of landscape pattern index among different sub-regions of ecosystem service value. The fragmentation of the landscape pattern was gradually increased from low value regions to high value regions, indicating that the influence of human activities on the ecological environment was increased, and the disturbing of human activities on the landscape structure was also increased. The results of this research can provide a reference for the intensive evaluation of regional ecosystem service, and serve as a scientific basis for the structure adjustment, sustainable utilization of regional land and ecological landscape construction. © 2017, Chinese Society of Agricultural Machinery. All right reserved.
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页码:149 / 153and205
相关论文
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