中文摘要：

以甘肃省草地生态系统为例, 利用多学科的知识综合发展了一个针对生态系统服务价值评估的动态模型, 提出了一种适宜于地区性评估技术的单位价值计算方法, 并构建以生物量比值系数以及货币变化指数为调节因子的动态监测模型结构. 选择建立在植被机理基础上的CASA模型, 模拟植被所吸收的光合有效辐射、植被层对入射光合有效辐射等, 利用遥感技术反演了甘肃省年际植被净初级生产力NPP, 并进行了验证. 根据建立的动态模型分别评估了1999年和2002年甘肃省草地生态系统服务价值. 结果表明：1985年甘肃省草地生态系统服务价值为283.6×10^8元, 1999年为1 403.7×10^8元, 2002达到1 308.6×10^8元, 全省草地生态系统服务价值呈现逐步增加的趋势. 生态系统服务价值存在地域性特征并随时间而变化, 目前的生态系统服务价值评估研究存在着众多不确定因素, 进一步加快定量化研究深度, 同时寻找有效的验证方法将是未来生态学乃至其它相关学科研究的重要主题之一.

英文摘要：

Ecosystem services are the matertal base and the headspring of whole resources and environment for human survivorship. In this paper, a dynamic assessing model about ecosystem services and function value is put forwards, based on the knowledge of multidisciplinary. The key points focus on discussing the principal factors, which adjust the function of remote sensing technique in the model, and setting up the frame of dynamic assessing model on ecosystem services and function value. A dynamic monitoring model, which takes the ratio of biomass and index of currency change as adjusting factors, is established. After pre-processing, the input parameters include 10-day maximum composite NDVI, precipitation, temperature, total solar radiation, soil parameters based on Co-Kriging Interpolation. The processing model CASA （Carnegie-Ames-Stanford Approach） has been used to simulate APAR, FPAR, humidity of soil, latent evapotranspiration, and then calculate annual NPP in Gansu province, and then the results are validated by using observation data and other relative outcomes. Afterward, using the dynamic model, the grassland ecosystem services and function value of 1999 and 2002 in Gansu province are assessed, with the input parameters of NPP and the factor of dynamic adjusting currency, respectively. The results show the grassland ecosystem services and function value in Gansu province was 28. 36 billion RMB Yuan in 1985, 140. 37 billion RMB Yuan in 1999 and 130.86 billion RMB Yuan in 2002, with an increasing trend after 1985. However, the ecosystem services and function value have regional characteristics and change with time. At present, ecosystem services and function value assessment research have many uncertain factors, therefore; further accelerating quantitative research and searching solid and validating technique will be an important subject in ecology and other interrelated fields.