Patterns of soil respiration and its temperature sensitivity in grassland ecosystems across China
Feng, Jiguang1; Wang, Jingsheng2; Song, Yanjun3; Zhu, Biao1
刊名BIOGEOSCIENCES
2018-09-03
卷号15期号:17页码:5329-5341
ISSN号1726-4170
DOI10.5194/bg-15-5329-2018
通讯作者Zhu, Biao(biaozhu@pku.edu.cn)
英文摘要Soil respiration (R-s), a key process in the terrestrial carbon cycle, is very sensitive to climate change. In this study, we synthesized 54 measurements of annual R-s and 171 estimates of Q(10) value (the temperature sensitivity of soil respiration) in grasslands across China. We quantitatively analyzed their spatial patterns and controlling factors in five grassland types, including temperate typical steppe, temperate meadow steppe, temperate desert steppe, alpine grassland, and warm, tropical grassland. Results showed that the mean (+/- SE) annual R-s was 582.0 +/- 57.9 gCm(-2) yr(-1) across Chinese grasslands. Annual R-s significantly differed among grassland types, and was positively correlated with mean annual temperature, mean annual precipitation, soil temperature, soil moisture, soil organic carbon content, and aboveground biomass, but negatively correlated with soil pH (p<0.05). Among these factors, mean annual precipitation was the primary factor controlling the variation of annual R-s among grassland types. Based on the overall data across Chinese grasslands, the Q(10) values ranged from 1.03 to 8.13, with a mean (+/- SE) of 2.60 +/- 0.08. Moreover, the Q(10) values varied largely within and among grassland types and soil temperature measurement depths. Among grassland types, the highest Q(10) derived by soil temperature at a depth of 5 cm occurred in alpine grasslands. In addition, the seasonal variation of soil respiration in Chinese grasslands generally cannot be explained well by soil temperature using the van't Hoff equation. Overall, our findings suggest that the combined factors of soil temperature and moisture would better predict soil respiration in arid and semi-arid regions, highlight the importance of precipitation in controlling soil respiration in grasslands, and imply that alpine grasslands in China might release more carbon dioxide to the atmosphere under climate warming.
资助项目National Key Research and Development Program of China[2017YFC0503903] ; National Key Research and Development Program of China[2016YFC0502006] ; National Natural Science Foundation of China[31621091] ; National Natural Science Foundation of China[31622013] ; Key Science and Technology Plan Projects of the Tibet Autonomous Region[Z2016C01G01/08-004] ; Key Science and Technology Plan Projects of the Tibet Autonomous Region[Z2016C01G01/03]
WOS关键词ORGANIC-MATTER DECOMPOSITION ; CARBON-DIOXIDE FLUXES ; WATER-CONTENT ; TERRESTRIAL ECOSYSTEMS ; FOREST ECOSYSTEMS ; TIBETAN PLATEAU ; MEADOW STEPPES ; SONGNEN PLAIN ; GLOBAL-SCALE ; CO2 EFFLUX
WOS研究方向Environmental Sciences & Ecology ; Geology
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000443401400002
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key Science and Technology Plan Projects of the Tibet Autonomous Region
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/54299]  
专题中国科学院地理科学与资源研究所
通讯作者Zhu, Biao
作者单位1.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Key Lab Earth Surface Proc,Minist Educ, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China
3.Wageningen Univ & Res Ctr, Forest Ecol & Forest Management Grp, POB 47, NL-6700 AA Wageningen, Netherlands
推荐引用方式
GB/T 7714
Feng, Jiguang,Wang, Jingsheng,Song, Yanjun,et al. Patterns of soil respiration and its temperature sensitivity in grassland ecosystems across China[J]. BIOGEOSCIENCES,2018,15(17):5329-5341.
APA Feng, Jiguang,Wang, Jingsheng,Song, Yanjun,&Zhu, Biao.(2018).Patterns of soil respiration and its temperature sensitivity in grassland ecosystems across China.BIOGEOSCIENCES,15(17),5329-5341.
MLA Feng, Jiguang,et al."Patterns of soil respiration and its temperature sensitivity in grassland ecosystems across China".BIOGEOSCIENCES 15.17(2018):5329-5341.
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