环境科学
干旱
生态系统
土壤碳
总有机碳
草原
陆地生态系统
植被(病理学)
堆积密度
水文学(农业)
土壤科学
土壤水分
农林复合经营
生态学
地质学
生物
医学
病理
岩土工程
作者
Longwei Dong,Yuan Sun,Jinzhi Ran,Weigang Hu,Mingfei Ji,Qiajun Du,Junlan Xiong,Haiyang Gong,Shuran Yao,Muhammad Adnan Akram,Yahui Zhang,Qingqing Hou,Hailing Li,Ying Sun,Jingli Lu,Xiaoting Wang,Muhammad Aqeel,Jianxiao Zhu,Michael W. Schmidt,Karl J. Niklas
出处
期刊:Catena
[Elsevier BV]
日期:2022-04-12
卷期号:214: 106280-106280
被引量:32
标识
DOI:10.1016/j.catena.2022.106280
摘要
Earth’s drylands store large amounts of organic carbon and thus play an important role in regulating atmospheric CO2 concentrations and mitigating climate change. However, little is known about the magnitude and the drivers of organic carbon stocks because of limited data, in particular in desert ecosystems. To fill this gap, we surveyed 763 plots and collected 5091 soil samples from 170 sites covering grassland and desert ecosystems across the drylands of China. The results show that 10.96 Pg organic carbon is stored in these ecosystems (7.07 Pg in grasslands and 3.89 Pg in deserts). The effects of environmental variables on carbon density were found to be contingent on ecosystem type and soil depth. Mean annual precipitation had a strong positive effect on the spatial distributions of vegetation carbon density in both types of ecosystems. The spatial variations of surface (0–40 cm) and subsurface (40–100 cm) soil organic carbon (SOC) density in grasslands were mainly correlated with plant productivity and mean annual temperature (MAT), respectively, while in desert ecosystems, they were mainly correlated with soil salinity (electrical conductivity). The spatial sensitivities (linear regression slopes) of the surface SOC density versus MAT increased from dry subhumid to semi-arid regions and then gradually shifted to decrease from semi-arid to hyper-arid regions, indicating that the surface SOC stock is more sensitive to temperature in semi-arid regions. This study provides a comprehensive survey of ecosystem carbon stocks in China’s drylands, fills a gap in our knowledge about carbon stocks in deserts, complements estimates of ecosystem carbon stocks throughout China, and provides insights into our understanding of the carbon cycle in drylands.
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