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

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• 作者：Qingling Sun ; Baolin Li ; Chenghu Zhou ; Fei Li…
• 关键词：Three ; River Headwater Region (TRHR) ; net primary productivity (NPP) ; estimation methods ; NPP models ; ecological parameters
• 刊名：Journal of Geographical Sciences
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：27
• 期：2
• 页码：161-182
• 全文大小：
• 刊物主题：Physical Geography; Nature Conservation; Geographical Information Systems/Cartography; Remote Sensing/Photogrammetry;
• 出版者：Science Press
• ISSN：1861-9568
• 卷排序：27

文摘

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.