交错带
环境科学
草原
土壤碳
土地利用、土地利用的变化和林业
堆积密度
土地利用
生态系统
生物量(生态学)
含水量
农学
土壤科学
农林复合经营
生态学
土壤水分
生物
地质学
岩土工程
灌木
作者
Xiaomin Huang,Xuanrui Lu,Guiyao Zhou,Yafei Shi,Degang Zhang,Weijian Zhang,Shahla Hosseini Bai
出处
期刊:Catena
[Elsevier]
日期:2022-04-19
卷期号:214: 106291-106291
被引量:12
标识
DOI:10.1016/j.catena.2022.106291
摘要
• What and how land-use change affects soil respiration in Qinghai-Tibetan Plateau. • Field monitoring with five land-uses in an alpine agro-pastoral ecotone. • Enclosed grassland had the highest soil respiration while the lowest in abandonment. • Quantified causal pathways from land-use change to variations in soil respiration. • Grasslands benefits for both low soil respiration and high soil C storage. Land-use change alters soil carbon (C) storage in terrestrial ecosystem through affecting soil respirations ( Rs ). However, the long-term effects of land-use change on Rs are poorly understood. We undertook a field experiment to examine the effects of long-term land-use change on Rs . The land-use types included grazed grassland (GGL), enclosed grassland (EGL), continuous cropland (CCL), rotation cropland (RCL) and abandoned cropland (ACL) in an alpine agro-pastoral ecotone in Qinghai-Tibetan Plateau in China. Our results showed that the accumulative Rs was shown a decreasing order of EGL > CCL > RCL > GGL > ACL, with the highest value of 12.2 t CO 2 ha −1 and the lowest value of 5.3 t CO 2 ha −1 . Soil bulk density, moisture, pH and C/N ratio were the key factors regulating Rs with land-use change in Tianzhu alpine agro-pastoral ecotone. Soil pH and C/N ratio regulated Rs indirectly by affecting bacterial diversity, while soil moisture had indirect impacts on Rs mainly by regulating microbial biomass. The net effects of soil bulk density on Rs was mainly through the direct pathway. Considering the soil C stocks showed an increasing order of ACL < RCL < CCL < GGL < EGL, even though ACL had the lowest Rs , grasslands probably the favorable land-use type in alpine agro-pastoral ecotone. Our findings highlight the importance of the land-use change on Rs , which may need to be incorporated into regional and global models for better predicting C-climate feedbacks.
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