文献类型： 外文期刊
作者： Zhang, Jingcheng 1 ; Jin, Yan 4 ; Huang, Wenjiang 1 ; Gu, Xiaohe 1 ; Huang, Jingfeng 3 ; Wang, Jihua 1 ;
作者机构： 1.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Zhejiang Univ, Minist Educ, Key Lab Environm Remediat & Ecol Hlth, Hangzhou 310029, Zhejiang, Peoples R China
3.Key Lab Agr Remote Sensing & Informat Syst Zhejia, Hangzhou 310029, Zhejiang, Peoples R China
4.Zhejiang Acad Surveying & Mapping, Hangzhou 310012, Zhejiang, Peoples R China
关键词： Remote Sensing; Net Primary Production (NPP); Universal Soil Loss Equation (USLE); Ecosystem Services Value
期刊名称：INTELLIGENT AUTOMATION AND SOFT COMPUTING （ 影响因子：1.647； 五年影响因子：1.469 ）
ISSN： 1079-8587
年卷期： 2010 年 16 卷 6 期
页码：
收录情况： SCI
摘要： Based on geographical informatics system (GIS) and remote sensing (RS) technologies, we developed an improved valuation model system of ecosystem services value (ESV) assessment and evaluated the value of Zhejiang Province from November 2004 to December 2005 with monthly time step. Five parts of ecosystem services (ES) were included, and they were producing organic matter, atmospheric gas regulation, recycling nutrient matter, holding water resources and conserving soil and water. The universal soil loss equation (USLE) was applied for estimating the service value of conserving soil and water which expected to improve the effect of assessment. From the results, the overall value in the entire region was 1636.81x10(8) RMB, with unbalanced constitution of 5 parts. A clear seasonal division was shown in the overall value and most parts. The distribution pattem in latitude, longitude, altitude was revealed respectively. Most parts of ecosystem services performed consistently response to both seasonal and spatial variation, except for the service of holding water resources and conserving soil and water. The major characteristics of ESV distribution can be roughly explained by the distribution and variation pattern of NPP and other crucial meteorological elements. The assessment of ESV by integrating multi-sourced data can provide an relatively objective result and have some indications for natural resources management.
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