The optimum temperature of soil microbial respiration: Patterns and controls
文献类型：期刊论文
| 作者 | Liu, Yuan4,5; He, Nianpeng2,3,4,5; Wen, Xuefa4,5; Xu, Li5; Sun, Xiaomin4,5; Yu, Guirui4,5; Liang, Liyin1; Schipper, Louis A.1 |
| 刊名 | SOIL BIOLOGY & BIOCHEMISTRY
 |
| 出版日期 | 2018-06-01 |
| 卷号 | 121页码:35-42 |
| ISSN号 | 0038-0717 |
| 关键词 | Soil respiration Optimum temperature Adaption Substrate Microbe Forest |
| 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. |
| WOS关键词 | ORGANIC-MATTER DECOMPOSITION ; CARBON DECOMPOSITION ; SENSITIVITY ; DEPENDENCE ; MODEL ; COMMUNITIES ; RESPONSES ; BACTERIAL ; GRADIENT ; FORESTS |
| 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 |
| 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.Univ Waikato, Sch Sci, Private Bag 3105, Hamilton, New Zealand 2.Minist Educ, Key Lab Vegetat Ecol, Changchun 130024, Jilin, Peoples R China 3.Northeast Normal Univ, Inst Grassland Sci, Changchun 130024, Jilin, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environment, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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