A dataset of soil respiration in a subtropical evergreen broad-leaved forest at Ailao Mountain from 2010 to 2014
Subtropical forests,as the largest forest type in China,play an important role in regulating global climate change and maintaining atmospheric carbon balance.The carbon emitted by soil through respiration is the main contributor of atmospheric CO2 levels,so even slight changes in soil carbon pool can significantly affect the concentration of atmospheric CO2.Therefore,at present,the magnitude and dynamic change characteristics of soil carbon storage in subtropical forests are attached great importance to.Ailao Mountain in Yunan Province stands as a crucial region for the distribution of subtropical forests in China.This study used a multichannel automated chamber system to estimate soil respiration in a subtropical evergreen broad-leaved forest ecosystem of Ailao Mountain.Ailao Mountain Station for Subtropical Forest Ecosystem Studies is a national field station and a basic observation station of the Chinese Ecosystem Research Network.We gathered soil respiration data from the subtropical evergreen broad-leaved forest in Ailao Mountain from 2011 to 2014,including soil temperature 5cm(TS),soil moisture content 10cm(SWC)and soil respiration data(RS),organized at daily,monthly and annual scales.This dataset is of great significance in revealing the effects of climate change on soil ecological processes in subtropical evergreen broad-leaved forests.It can facilitate precise evaluation of soil organic carbon emissions and forest ecosystem management,and provide both empirical and theoretical basis for further research on the effects of global changes(e.g.climate warming)on soil respiration components,especially with a focus on soil organic carbon emissions.
国家科技期刊平台
NSTL
万方数据
