A systematic review of research studies on the estimation of net primary productivity in the Three-River Headwater Region, China

作     者：SUN Qingling LI Baolin ZHOU Chenghu LI Fei ZHANG Zhijun DING Lingling ZHANG Tao XU Lili 

作者机构：State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciencesand Natural Resources Research CAS Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023 China Remote Sensing Monitoring Center of Qinghai Ecology and Environment Xining 810007 China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2017年第27卷第2期

页      面：161-182页

核心收录：

学科分类：07[理学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学] 

基　　金：National Key Research and Development Program of China,No.2016YFC0500205 National Basic Research Program of China(973 Program),No.2015CB954103,No.2015CB954101 

主　　题：Three-River Headwater Region(TRHR) net primary productivity(NPP) estimation methods NPP models ecological parameters 

摘      要：The Three-River Headwater Region（TRHR）, known as the ＂Water Tower of China＂, is an important ecological shelter for national security interests and regional sustainable development activities for many downstream regions in China and a number of Southeast Asian countries. The TRHR is a high-elevation, cold environment with a unique, but typical alpine vegetation system. Net primary productivity（NPP） is a key vegetation parameter and ecological indicator that can reflect both natural environmental changes and carbon budget levels. Given the unique geographical environment and strategic location of the TRHR, many scholars have estimated NPP of the TRHR by using different methods; however, these estimates vary greatly for a number of reasons. To date, there is no paper that has reviewed and assessed NPP estimation studies conducted in the TRHR. Therefore, in this paper, we（1） summarized the related methods and results of NPP estimation in the TRHR in a systematic review of previous research;（2） discussed the suitability of existing methods for estimating NPP in the TRHR and highlighted the most significant challenges; and（3） assessed the estimated NPP results. Finally, developmental directions of NPP estimation in the TRHR were prospected.