The optimum temperature of soil microbial respiration: Patterns and controls

doi:10.1016/j.soilbio.2018.02.019

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 生态系统研究网络观测与模拟重点实验室 > CERN水分分中心

	The optimum temperature of soil microbial respiration: Patterns and controls
	Liu, Yuan 1,2; He, Nianpeng 1,2,3,4; Wen, Xuefa 1,2; Xu, Li 1; Sun, Xiaomin 1,2; Yu, Guirui 1,2; Liang, Liyin 5; Schipper, Louis A.5
刊名	SOIL BIOLOGY & BIOCHEMISTRY
	2018-06-01
卷号	121 页码:35-42
关键词	Soil respiration Optimum temperature Adaption Substrate Microbe Forest
ISSN号	0038-0717
DOI	10.1016/j.soilbio.2018.02.019
通讯作者	He, Nianpeng(henp@igsnrr.ac.cn)
英文摘要	The temperature response of soil microbial respiration (R-h) is of significance, with the optimum temperature of R-h being the key parameter for accurately modeling how it responds to temperature change under climate warming scenarios. However, knowledge about T-opt in natural ecosystems remains limited, especially at large scales, which increases the uncertainty of climate projections. Here, we collected 25 soils from tropical to cold temperate forests in the northern hemisphere to quantify regional variation in T-opt and the controls underlying this variation. R-h was measured at high frequency using a novel system under the mode, with temperature gradually increasing from 5 to 50 degrees C. The results showed that T-opt ranged from 38.5 to 46.0 degrees C (mean: 42.4 degrees C). Of note, this study is the first to demonstrate that T-opt is far higher than the assumed value used in models (35 degrees C), varying greatly across different climatic zones and increasing with latitude from tropical to cold-temperate forest soils. To some extent, our results supported the substrate supply hypothesis, and contrast with the climate adaption hypothesis. In addition, climate, nutrient, and soil microorganisms jointly regulate regional variation in T-opt together explaining 53% of variation in T-opt. The higher T-opt in northern regions indicated that these regions have a greater potential to release more CO2 from soil, which might lead to a positive feedback to global warming. In conclusion, process-based models should incorporate the high variability of T-opt across regions to improve predictions of the carbon dynamics of terrestrial ecosystems under climate warming scenarios.
资助项目	Natural Science Foundation of China[31770655] ; Natural Science Foundation of China[41571130043] ; National Key R&D Program of China[2016YFC0500202] ; program of Youth Innovation Research Team Project[LENOM2016Q0005]
WOS关键词	ORGANIC-MATTER DECOMPOSITION ; CARBON DECOMPOSITION ; SENSITIVITY ; DEPENDENCE ; MODEL ; COMMUNITIES ; RESPONSES ; BACTERIAL ; GRADIENT ; FORESTS
WOS研究方向	Agriculture
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000432884100007
资助机构	Natural Science Foundation of China ; National Key R&D Program of China ; program of Youth Innovation Research Team Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54816]
专题	地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
通讯作者	He, Nianpeng
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environment, Beijing 100049, Peoples R China 3.Northeast Normal Univ, Inst Grassland Sci, Changchun 130024, Jilin, Peoples R China 4.Minist Educ, Key Lab Vegetat Ecol, Changchun 130024, Jilin, Peoples R China 5.Univ Waikato, Sch Sci, Private Bag 3105, Hamilton, New Zealand
推荐引用方式 GB/T 7714	Liu, Yuan,He, Nianpeng,Wen, Xuefa,et al. The optimum temperature of soil microbial respiration: Patterns and controls[J]. SOIL BIOLOGY & BIOCHEMISTRY,2018,121:35-42.
APA	Liu, Yuan.,He, Nianpeng.,Wen, Xuefa.,Xu, Li.,Sun, Xiaomin.,...&Schipper, Louis A..(2018).The optimum temperature of soil microbial respiration: Patterns and controls.SOIL BIOLOGY & BIOCHEMISTRY,121,35-42.
MLA	Liu, Yuan,et al."The optimum temperature of soil microbial respiration: Patterns and controls".SOIL BIOLOGY & BIOCHEMISTRY 121(2018):35-42.