A compiled soil respiration dataset at different time scales for forest ecosystems across China from 2000 to 2018

[摘要] China's forests rank fifth in the world by area, covering a broadclimatic gradient from cold-temperate to tropical zones, and play a key rolein the global carbon cycle. Studies of forest soil respiration ( R s ) haveincreased rapidly in China over the last two decades, but the resulting R s data need to be summarized. Here, we compile a comprehensive dataset of R s in China's undisturbed forest ecosystems from the literature published up to31 December 2018, including monthly R s and the concurrently measured soiltemperature ( N =8317 ), mean monthly R s ( N =5003 ), and annual R s ( N =634 ).Detailed plot information was also recorded, such as geographical location,climate factors, stand characteristics, and measurement description. Weexamine some aspects of the dataset – R s equations fitted with soiltemperature, temperature sensitivity ( Q 10 ), monthly variations, andannual effluxes in cold-temperate, temperate, subtropical, and tropicalzones. We hope the dataset will be used by the science community to providea better understanding of the carbon cycle in China's forest ecosystems andreduce uncertainty in evaluating of carbon budget at a large scale. Thedataset is publicly available at https://doi.org/10.1594/PANGAEA.943617 (Sun et al., 2022).

[学科分类] 眼科学