Measurement of Forest Ecosystem Service Value and Analysis of Its Monthly Variation in Zhejiang Province

  • 1. Department of Earth System, Zhejiang University, Hangzhou 310027, China;
    2. The Second Institute of Oceanography, Hangzhou 310012, China;
    3. International Institute for Earth System Science, Nanjing University, Nanjing 210093, China;
    4. College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524003, China

Received date: 2013-08-09

  Revised date: 2013-10-31

  Online published: 2014-03-10


The research of forest ecosystem service value is very important for the construction of green GDP, the formulation of Ecological Compensation Standards, the improvement of people's environmental protection consciousness, and so on. With the development of GIS (Geographic Information System) and RS (Remote Sensing), more and more researchers apply them to the estimation of ESV (Ecosystem Service Value), so as to realize a dynamic, fast, and space discrepant estimation of ESV. In this paper, based mainly on satellite imagery, geo-spatial data, site record, and combined with GIS and RS technology, we firstly calculated NPP, evapotranspiration, soil conservation amount of Zhejiang's forest ecosystem in 2010. Then, we calculated the value of carbon sequestration and oxygen release based on NPP and Afforestation Cost Method, the value of organic production based on NPP and Energy Substitution Method, the value of water conservation based on precipitation, evapotranspiration, and Shadow Project Approach, the value of nutrient recycling based on NPP and Shadow Pricing Method, and the value of soil and water conservation based on soil conservation amount and Opportunity Cost Approach. In the end of this research, the monthly variation of ecosystem service value is analyzed. The analysis results showed that: based on the technology of GIS and RS, we can estimate the value of forest ecosystem service value dynamically and fast. In 2010, the total quantity of different ESV provided by forest ecosystem of Zhejiang Province varied in different months. The biggest one from January to June and December is the value of water conservation; however, the biggest one from July to November is the value of carbon sequestration and oxygen release. Different kinds of Ecosystem Service Value changed regularly from month to month; the monthly variation of carbon sequestration, oxygen release, organic production, nutrient recycling, and soil conservation could be fitted with downwards parabola; the monthly variation of water conservation could be fitted with upwards parabola. The research of this paper has important significance for the establishment of the green GDO accounting system, monthly ecological compensation of the returning farmland to forest project, the improvement of people's environmental consciousness, etc.

Cite this article

LIU Dong, HUANG Haiqing, LI Yan, GONG Fang, ZHANG Lin, LUAN Hong . Measurement of Forest Ecosystem Service Value and Analysis of Its Monthly Variation in Zhejiang Province[J]. Journal of Geo-information Science, 2014 , 16(2) : 225 -232 . DOI: 10.3724/SP.J.1047.2014.00225


[1] 冯剑丰,李宇,朱琳.生态系统功能与生态系统服务的概念辨析[J].生态环境学报,2009,18(4):1599-1603.

[2] 徐冉.基于遥感技术的嘉兴典型区域生态系统服务价值评估研究[D].上海:华东师范大学,2012.

[3] 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.

[4] Daily G C, Soderqvist T, Aniyar S, et al. The value of nature and the nature of value[J]. Science, 2000,289(5478):395-396.

[5] Costanza R, De Arge R, De Groot R, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997(387):253-260.

[6] Yu Z, Bi H. Status quo of research on ecosystem services value in China and suggestions to future research[J]. Energy Procedia, 2011(5):1044-1048.

[7] Su S, Xiao R, Jiang Z, et al. Characterizing landscape pattern and ecosystem service value changes for urbanization impacts at an eco-regional scale[J]. Applied Geography, 2012(34):295-305.

[8] Niu X, Wang B, Liu S, et al. Economical assessment of forest ecosystem services in China: Characteristics and implications[J]. Ecological Complexity, 2012(11):1-11.

[9] 谢高地,甑霖,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.

[10] 朱文泉,张锦水,潘耀忠,等.中国陆地生态系统生态资产测量及其动态变化分析[J].应用生态学报,2007,18(3):586-594.

[11] Krishnaswamy J, Bawa K S, Ganeshaiah K N, et al. Quantifying and mapping biodiversity and ecosystem services: Utility of a multi-season NDVI based Mahalanobis distance surrogate[J]. Remote Sensing of Environment, 2009(113):857-867.

[12] Estoque R C, Murayama Y. Examining the potential impact of land use cover changes on the ecosystem services of Baguio city, the Philippines: A scenario-based analysis[J]. Applied Geography, 2012(35): 316-326.

[13] 靳芳,鲁绍伟,余新晓,等.中国森林生态系统服务价值评估指标体系初探[J].中国水土保持科学,2005,3(2):5-9.

[14] 李梦洁,郑建飞,曾燕,等.浙江省高分辨率太阳直接辐射图的计算和绘制[J].地球科学进展,2008,23(3):299-305.

[15] 朱文泉.中国陆地生态系统植被净初级生产力遥感估算及其与气候变化关系的研究[D].北京:北京师范大学,2005.

[16] 田刚,梁音,陈效民,等.几种降雨侵蚀力模型在潋水河流域的对比研究[J].土壤学报,2010,47(1):7-12.

[17] 苏迅帆.西藏林芝地区森林生态系统服务价值评估研究[D].杨凌:西北农林科技大学,2008.

[18] 田石磊.西安市森林生态系统服务价值研究[D].杨凌:西北农林科技大学,2009.

[19] 姜永华,江洪.森林生态系统服务价值的遥感估算——以杭州市余杭区为例[J].测绘科学,2009,34(6):155-158.

[20] 任志远,李晶.陕南秦巴山区植被生态功能的价值测评[J].地理学报,2003,58(4):503-511.

[21] 师庆三,王智,吴友均,等.新疆生态系统服务价值测算与NPP的相关性分析[J].干旱区地理,2010,33(3):427-433.

[22] 胡艳琳.基于GIS下宁波天童森林生态系统服务功能价值评估研究[D].上海:华东师范大学,2005.

[23] 吕晓男,陆允甫,王人潮.浙江低丘红壤肥力数值化综合评价研究[J].土壤通报,2000,31(3):107-110.

[24] 陈姗.基于RS和GIS的石羊河流域生态系统服务价值研究[D].兰州:西北师范大学,2011.

[25] 刘军会,高吉喜.北方农牧交错带生态系统服务价值测算及变化[J].山地学报,2008,26(2):45-153.

[26] 朴世龙,方精云,郭庆华.利用CASA模型估算我国植被净第一性生产力[J].植物生态学报,2001,25(5):603-608.

[27] 余静芳,余树全,张超,等.应用CASA模型估算浙江省植被净初级生产力[J].浙江农林大学学报,2012,29(4):473-481.

[28] 魏靖琼,柳小妮,任正超,等.基于CASA模型的甘肃省草地净初级生产力研究[J].草地与草坪,2012,32(4):8-14.

[29] 陈福军,沈彦俊,李倩,等.中国陆地生态系统近30年NPP时空变化研究[J].地理科学,2011,31(11):1409-1414.