Soil respiration in an old-growth subtropical forest: Patterns, components, and controls
Tan, Zheng-Hong1,2; Zhang, Yi-Ping1,3,4; Liang, Naishen2; Song, Qing-Hai1,3,5; Liu, Yu-Hong1,4; You, Guang-Yong1,3,5; Li, Lin-Hui1,3,5; Yu, Lei1,3,5; Wu, Chuan-Shen1,4; Lu, Zhi-Yun1,4; Wen, Han-Dong1,4; Zhao, Jun-Fu1,3,5; Gao, Fu6; Yang, Lian-Yan1,3; Song, Liang1; Zhang, Yong-Jiang1,7; Munemasa, Teramoto2; Sha, Li-Qing1
通讯作者Sha, LQ (reprint author), Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 650223, Peoples R China.
2013-04-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
卷号118期号:7页码:2981-2990
摘要The patterns, components, and controls of soil respiration in an old-growth subtropical forest were investigated using an automatic chamber system. We measured soil respiration in three treatments (control, trenching, litter removal) over 15 months. The annual total soil respiration (1248 gC m-2 yr-1) showed considerable spatial variation (coefficient of variation=27.8%) within the forest. Thirty samples were required to obtain results within 10% of the mean value at a 95% confidential level. A distinctive cosine-like diel pattern of soil respiration was observed; the time lag between gross primary production and soil respiration at this scale was calculated to be 4-5 h. Seasonality of soil respiration was strong (similar to 1 mu mol m-2 s-1 near the end of winter; similar to 6 mu mol m-2 s-1 in midsummer). No time lag was discerned between gross primary production and soil respiration at the seasonal scale. Soil temperature at 5 cm below surface can explain most (>91%) of the observed annual variation in soil respiration. The apparent respiration temperature sensitivity index (Q10) was 3.05. The lowest Q10 value was observed in winter, when soil moisture was low. Soil respiration was overestimated by a Q10 function during both dry and wet periods. The relative contributions of soil organic matter (RSOM), litterfall decomposition (RL), and root respiration (RR) to total soil respiration are 65.25%, 18.73%, and 16.01%, respectively; the temperature sensitivity of these components differ: RL (Q10=7.22)>RSOM (2.73)>RR (1.65). This relationship between Q10 values for litter respiration, soil organic matter decomposition, and root respiration still holds after minimizing the confounding effect of moisture. A relatively constant substrate supply and/or thermal acclimation could account for the observed low-temperature sensitivity in root respiration. Given the high carbon stocks and fluxes, the old-growth subtropical forests of China seem important in the global carbon budget and climate change.
关键词Gross Primary Production Root Contribution Temperature Sensitivity Spatial Variation Thermal Acclimation
学科领域Meteorology & Atmospheric Sciences
收录类别SCI
语种英语
WOS记录号WOS:000319618300022
引用统计
文献类型期刊论文
条目标识符http://ir.kib.ac.cn/handle/151853/16613
专题资源植物与生物技术所级重点实验室
作者单位1.Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 650223, Peoples R China
2.Natl Inst Environm Studies, Global Carbon Cycle Res Sect, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan
3.Chinese Acad Sci, Global Change Res Grp, Key Lab Trop Forest Ecol, Kunming 650223, Peoples R China
4.Ailaoshan Stn Subtrop Forest Studies, Jingdong 676200, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100094, Peoples R China
6.Chinese Acad Sci, Kunming Inst Bot, Lijiang Ecol Stn, Kunming 650223, Peoples R China
7.Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA
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Tan, Zheng-Hong,Zhang, Yi-Ping,Liang, Naishen,et al. Soil respiration in an old-growth subtropical forest: Patterns, components, and controls[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2013,118(7):2981-2990.
APA Tan, Zheng-Hong.,Zhang, Yi-Ping.,Liang, Naishen.,Song, Qing-Hai.,Liu, Yu-Hong.,...&Sha, Li-Qing.(2013).Soil respiration in an old-growth subtropical forest: Patterns, components, and controls.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,118(7),2981-2990.
MLA Tan, Zheng-Hong,et al."Soil respiration in an old-growth subtropical forest: Patterns, components, and controls".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 118.7(2013):2981-2990.
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