Annual and seasonal variations of Q10 soil respiration in the sub-alpine forests of the Eastern Qinghai-Tibet Plateau, China

被引:82
作者
Chen, Baoyu [1 ,2 ]
Liu, Shirong [1 ]
Ge, Jianping [3 ]
Chu, Jinxiang [4 ]
机构
[1] Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Beijing 100091, Peoples R China
[2] NE Agr Res Ctr China, Agr Environm & Resources Res Ctr, Changchun 130033, Peoples R China
[3] Beijing Normal Univ, Coll Life Sci, Beijing 100875, Peoples R China
[4] Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
关键词
Temperature sensitivity; Soil respiration; Soil temperature; Soil moisture; Global warming; TEMPERATURE SENSITIVITY; WATER CONTENT; DEPENDENCE; SPRUCE; MODEL; DECOMPOSITION; PATTERNS; ROOTS; BEECH;
D O I
10.1016/j.soilbio.2010.06.010
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
The annual and seasonal variations in the temperature sensitivity of soil respiration (Rs) were assessed through continuous measurements during the 2004-2006 growing seasons using chamber-based techniques in two sub-alpine forest ecosystems in the Eastern Qinghai-Tibet Plateau, China. The study sites were 40-year-old spruce plantations (Picea asperata) (FSPF) and Faxon Fir Primary Forest (FPF). Our results showed that Q(10), regardless of site origin, exhibited a strong seasonal and annual variation pattern, and decreased with soil temperature increase. Estimated Q(10) values ranged between 1.16 and 24.3. The maximum, annual, mean Q(10) values remained consistent over 3 years, while the highest Qio values (7.01 in FSPF and 6.39 in FPF) occurred in 2005 (for all sites). There was no significant difference observed among Q(10) values between the two forest types in each year (2004-2006) (p = 0.07). Q(10) values were fitted well with data of soil temperature using linear regression models, while the correlation between Q(10) and soil moisture was not significant (p > 0.1). This study suggested that soil temperature was the dominant factor influencing Qio values, while soil moisture was a potential contributor to the annual and seasonal variations of Qm in a sub-alpine forest. Due to the complexity of correlation between Rs and soil moisture, Q(10) values derived from annual and seasonal patterns of Rs should be used with caution when predicting future soil CO2 emissions under conditions of global warming. (C) 2010 Published by Elsevier Ltd.
引用
收藏
页码:1735 / 1742
页数:8
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