IGSNRR OpenIR
The optimum temperature of soil microbial respiration: Patterns and controls
Liu, Yuan1,2; He, Nianpeng1,2,3,4; Wen, Xuefa1,2; Xu, Li1; Sun, Xiaomin1,2; Yu, Guirui1,2; Liang, Liyin5; Schipper, Louis A.5
2018-06-01
Source PublicationSOIL BIOLOGY & BIOCHEMISTRY
ISSN0038-0717
Volume121Pages:35-42
Corresponding AuthorHe, Nianpeng(henp@igsnrr.ac.cn)
AbstractThe 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.
KeywordSoil respiration Optimum temperature Adaption Substrate Microbe Forest
DOI10.1016/j.soilbio.2018.02.019
WOS KeywordORGANIC-MATTER DECOMPOSITION ; CARBON DECOMPOSITION ; SENSITIVITY ; DEPENDENCE ; MODEL ; COMMUNITIES ; RESPONSES ; BACTERIAL ; GRADIENT ; FORESTS
Indexed BySCI
Language英语
Funding ProjectNatural 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]
Funding OrganizationNatural Science Foundation of China ; National Key R&D Program of China ; program of Youth Innovation Research Team Project
WOS Research AreaAgriculture
WOS SubjectSoil Science
WOS IDWOS:000432884100007
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54817
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHe, Nianpeng
Affiliation1.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
Recommended Citation
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.
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