Comment on essd-2022-286

Abstract

<strong class="journal-contentHeaderColor">Abstract.</strong> To quantify the ecological consequences of recent nationwide restoration efforts in China, spatially explicit information on forest biomass carbon stock changes over the past 20 years is critical. However, long-term biomass tracking at the national scale remains challenging as it requires continuous and high-resolution monitoring. Here, we characterize the changes in the above- and belowground biomass carbon (AGBC and BGBC) of forests in China between 2002 and 2021 at 1 km spatial resolution by integrating multiple types of remote sensing observations with intensive field measurements through regression and machine learning approaches. On average, 8.6 <span class="inline-formula">±</span> 0.6 and 2.2 <span class="inline-formula">±</span> 0.1 PgC were stored in above- and belowground live forests in China. Over the last 20 years, the total forest biomass carbon pool in China has increased at a rate of 114.5 <span class="inline-formula">±</span> 16.3 TgC yr<span class="inline-formula">^−1</span> (approximately 1.1 % yr<span class="inline-formula">^−1</span>). The most pronounced forest biomass carbon stock gains occurred in central to southern China, including the southern Loess Plateau, Qinling mountains, southwestern karsts and southeastern forests. While the combined use of multi-source remote sensing data provides a powerful tool to assess the forest biomass carbon changes, future research is also needed to explore the drivers of the observed woody biomass trends and to evaluate the degree to which biomass gains will translate into biodiverse, healthy ecosystems that are sustainable. Annual forest above- and belowground biomass maps for China are now available at <a href="https://doi.org/10.6084/m9.figshare.21931161.v1">https://doi.org/10.6084/m9.figshare.21931161.v1</a> (Chen, 2023).