Review on carbon storage estimation of forest ecosystem and applications in China

作者：Wanlong Sun, Xuehua Liu · 发表于：Forest Ecosystems · 年份：2019 · DOI：10.1186/s40663-019-0210-2 · 被引用次数：206 · 研究领域：Remote Sensing and LiDAR Applications、Remote Sensing in Agriculture、Fire effects on ecosystems

Abstract Background The accuracy in estimating forest ecosystem carbon storage has drawn extensive attention of researchers in the field of global climate change. However, incomparable data sources and various estimation methods have led to significant differences in the estimation of forest carbon storage at large scales. Methods In this study, we reviewed fundamental types of forest carbon storage estimation methods and their applications in China. Results Results showed that the major forest carbon storage estimation methods were classified into 3 major categories and 15 subcategories focusing on vegetation carbon storage estimation, soil carbon storage estimation, and litter carbon storage estimation, respectively. The application in China showed that there have been 3 development stages of research in China since the 1990s. Studies of forest carbon storage estimation in province scales were conducted more frequently in the northeastern, eastern and southwestern provinces such as Zhejiang, Heilongjiang and Sichuan with high forest coverage or large forest area. Inventory-based methods, soil type method, and biomass model were the main forest estimation methods used in China, focusing on vegetation, soil and litter carbon storage estimation respectively. Total forest carbon storage of China was approximate 28.90 Pg C, and the average vegetation carbon density (42.04 ± 5.39 Mg·ha − 1 ) was much lower than that of the whole world (71.60 Mg·ha − 1 ). Vegetation carbon density...