地球信息科学学报 ›› 2014, Vol. 16 ›› Issue (2): 225-232.doi: 10.3724/SP.J.1047.2014.00225

• 地理空间分析综合应用 • 上一篇    下一篇

浙江省森林生态服务价值估算及其逐月变异分析

刘东1,2,3, 黄海清2, 李艳3, 龚芳2, 张琳2, 栾虹4   

  1. 1. 浙江大学地球科学系, 杭州 310027;
    2. 国家海洋局第二海洋研究所, 杭州 310012;
    3. 南京大学地理与海洋科学学院, 南京 210093;
    4. 广东海洋大学海洋与气象学院, 湛江 524003
  • 收稿日期:2013-08-09 修回日期:2013-10-31 出版日期:2014-03-10 发布日期:2014-03-10
  • 作者简介:刘 东(1987- ),男,江西吉安人,硕士生,主要从事遥感与GIS应用研究。E-mail:liudong6418sc@sina.co
  • 基金资助:

    国家科技支撑计划课题(2013BAD13B01);“863”重点项目子课题“地表覆盖数据在陆面生态水文模型中的应用示范及示范系统开发”(2009AA122005)。

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

LIU Dong1,2,3, HUANG Haiqing2, LI Yan3, GONG Fang2, ZHANG Lin2, LUAN Hong4   

  1. 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:2013-08-09 Revised:2013-10-31 Online:2014-03-10 Published:2014-03-10
  • Contact: 10.3724/SP.J.1047.2014.00225

摘要:

森林生态服务价值的研究对构建绿色GDP核算体系、制定生态补偿标准、提高人类环境保护意识等有十分重要的意义。本文首先以卫星影像、地理空间数据、站点记录等资料,结合GIS、RS技术,估算了浙江省森林生态系统2010年的NPP、蒸散量、土壤保持量等;然后,采用能量替代法、机会成本法、影子工程法等估算了浙江省森林2010年的固碳释氧价值、有机物生产价值、水源涵养价值、营养物循环价值、水土保持价值;最后,对各种生态服务价值的逐月变异规律进行分析。结果表明:浙江省森林2010年的5种生态服务价值呈现明显的逐月变异规律;固碳释氧价值、有机物生产价值、营养物质循环价值、水土保持价值的逐月变异规律,均可用开口向下抛物线拟合;水源涵养价值的逐月变异规律,可用开口向上抛物线拟合。

关键词: 遥感, 逐月变异, CASA, 浙江省, 森林生态服务价值

Abstract:

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.

Key words: remote sensing, monthly variation, CASA, forest ecosystem service value, Zhejiang Province