期刊
PLANT AND SOIL
卷 458, 期 1-2, 页码 75-91出版社
SPRINGER
DOI: 10.1007/s11104-020-04438-y
关键词
Climate changes; Heterotrophic respiration; Autotrophic respiration; Tibetan plateau; Grassland ecosystems; Climate-carbon model
资金
- National Key Research and Development Program of China [2016YFC0500602]
- National Natural Science Foundation of China [31630009, 31971434, 31600385, 31670454]
The study found that precipitation influences the warming effects on soil respiration, leading to variation in warming response of R-s across different years and experimental systems. Additionally, empirical functions provided by the study can help reduce uncertainty in predicting soil respiration in a warmer future.
Background and aims Soil respiration (R-s) is expected to positively feedback to climate warming. The strength of this feedback is uncertain as numerous environmental factors, such as precipitation and soil moisture, can moderate the warming response of R-s. Methods We combined seven-year R-s measurements in a warming experiment in the Tibetan alpine grassland with a meta-analysis on grassland warming experiments globally to investigate how precipitation and soil moisture influences the warming response of R-s. We further analyzed the warming responses of heterotrophic (R-h) and autotrophic (R-a) components of R-s. Results Warming enhanced growing-season R-s in the wet years but decreased it in the dry years in the field experiment at the Tibetan grassland. Precipitation modulated the warming responses of growing-season R-s via R-h, but not R-a. Consistent with the field experiment, a positive relationship between precipitation and the warming response of growing-season R-s was also observed in the global-scale meta-analysis on grassland warming experiments. Conclusions Precipitation influences the warming effects on R-s and could result in variation in warming response of R-s across years and experimental systems. Empirical functions provided by this study could be used to reduce the uncertainty in predicting R-s in a warmer future.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据