中国森林地上碳储量数据集（2013-2019）

随着国家林业重点工程的实施，我国森林在过去几十年间扮演着碳汇功能，对区域或全球碳平衡贡献显著。目前对我国森林生态系统碳汇大小、固碳潜力及其空间分布与变化的评估，仍然存在较大的不确定性。基于团队自主研发的低频被动微波植被光学厚度（L-VOD）年际产品（具有时空连续性强、对茂密森林饱和点高的优势），首先评估了不同光学植被指数产品和微波植被光学厚度产品在中国区域对森林地上碳储量的监测能力，证明了微波植被光学厚度产品（尤其是L波段）在大尺度范围对地上碳储量监测的优势。然后在随机森林模型框架下，协同使用光学植被指数和微波植被光学厚度产品对我国森林地上碳储量年际变化进行预测，估算了2013–2019年期间我国森林地上碳储量动态变化，进一步分析了重点区域森林地上碳储量变化趋势。基于该套地上森林碳储量产品，研究表明2013–2019年期间我国地上森林植被碳汇为0.17 Pg C yr-1，其中56%来源于南方地区。从区域尺度来看，我国南方森林植被地上部分碳汇主要来自贵州（22.35 Tg C yr-1）、四川（14.49 Tg C yr-1）和湖南（11.42 Tg C yr-1）等省份。

With the implementation of China's key national forestry projects, China's forests have acted as carbon sinks over the past decades, making significant contributions to regional and global carbon balance. Currently, there remains considerable uncertainty in the assessments of the magnitude of forest ecosystem carbon sinks, carbon sequestration potential, as well as their spatial distribution and changes in China. Based on the interannual product of low-frequency passive microwave vegetation optical depth (L-VOD) independently developed by our team, which boasts advantages of strong spatiotemporal continuity and high saturation threshold for dense forests, we first evaluated the monitoring capabilities of various optical vegetation index products and microwave vegetation optical depth products for aboveground forest carbon stocks across China, and verified the advantages of microwave vegetation optical depth products (especially L-band) in monitoring aboveground carbon stocks at large scales. Subsequently, under the framework of the random forest model, we synergistically used optical vegetation indices and microwave vegetation optical depth products to predict the interannual changes of aboveground forest carbon stocks in China, estimated the dynamic changes of aboveground forest carbon stocks in China during 2013–2019, and further analyzed the change trends of aboveground forest carbon stocks in key regions. Based on this set of aboveground forest carbon stock products, the study shows that China's aboveground forest vegetation carbon sink was 0.17 Pg C yr⁻¹ during 2013–2019, with 56% of which originating from southern China. At the regional scale, the aboveground carbon sinks of forest vegetation in southern China mainly come from provinces such as Guizhou (22.35 Tg C yr⁻¹), Sichuan (14.49 Tg C yr⁻¹), and Hunan (11.42 Tg C yr⁻¹).

搜集汇总

背景与挑战

背景概述

该数据集提供了2013年至2019年中国森林地上碳储量的年际变化数据，基于低频被动微波植被光学厚度（L-VOD）和光学植被指数，通过随机森林模型估算得出，空间分辨率为10km-100km。研究发现期间中国森林地上碳汇为0.17 Pg C yr-1，其中56%来源于南方地区，贵州、四川和湖南是主要贡献省份。数据以TIFF栅格格式存储，开放获取，适用于遥感、陆地表层碳循环等相关研究。