globalchange  > 气候变化与战略
CSCD记录号: CSCD:5266333
论文题名:
中国北方草地土壤呼吸的空间变异及成因
其他题名: Variation of soil respiration and its underlying mechanism in grasslands of northern China
作者: 侯建峰; 吕晓涛; 王超; 王朋
刊名: 应用生态学报
ISSN: 1001-9332
出版年: 2014
卷: 25, 期:10, 页码:1191-1198
语种: 中文
中文关键词: 北方草原样带 ; 土壤呼吸 ; 降水量 ; 地上生物量 ; 土壤有机碳
英文关键词: northern grassland transect ; soil respiration ; precipitation ; aboveground biomass ; soil organic carbon
WOS学科分类: AGRICULTURE MULTIDISCIPLINARY
WOS研究方向: Agriculture
中文摘要: 土壤呼吸是陆地生态系统碳循环的关键指标,决定了土壤源二氧化碳(CO_2)进入大气的通量,对预测全球气候变化背景下区域乃至全球碳循环变化具有重要意义.本文通过室内短期培养试验测定了中国北方草地样带土壤样品的呼吸速率,研究了北方草地土壤呼吸的区域尺度格局及其与主要调控因子的关系.结果表明:土壤呼吸速率自西向东随年均降水量(MAP)增加呈逐渐增加的趋势,变化范围为0.35 ~ 2.09 mug CO_2 -C·g~(-1)·h~(-1).其中,MAP <100 mm 时,土壤呼吸速率为0.35 ~ 0.73 mug CO_2 -C·g~(-1)·h~(-1);100 mm 300 mm 时,土壤呼吸速率为0.83 ~ 2.10 mug CO_2 -C ·g~(-1)·h~(-1).土壤呼吸速率与年均降水量、地上生物量、土壤有机碳氮含量呈显著正相关,而与年均温和 pH 值呈显著负相关.增强回归树分析显示,年均降水量、地上生物量、土壤有机碳含量和土壤有机氮含量分别解释了土壤呼吸总变异的25.5%、23.6%、18.3% 和12.5%,而土壤 pH 和年均温仅解释了10.8% 和9.2%.
英文摘要: Soil respiration is one of the most important variables in terrestrial ecosystem progresses and global carbon cycle,and determines the CO_2 flux from soil to atmosphere.Soil respiration also has great implications for predicting regional and even global carbon cycle changes under the background of global climate change.We measured respiration rates of soil samples collected from northern China grassland transect by short term incubation experiment in laboratory.Results showed that soil respiration rates increased with mean annual precipitation (MAP) from west sites to east sites,ranging from 0.35 to 2.09 mug CO_2 -C ·g~(-1)·h~(-1).The variation range of soil respiration rates were 0.35 -0.73 mug CO_2 -C ·g~(-1)·h~(-1) with MAP <100 mm,0.57 -0.98 mug CO_2-C ·g~(-1)·h~(-1) with MAP between 100 mm and 200 mm and 0.83-2.10 mug CO_2 -C·g~(-1)·h~(-1) with MAP >300 mm,respec-tively.Soil respiration had a significant positive relationship with MAP,aboveground biomass,soil organic carbon and nitrogen content,while had a negative relationship with mean annual temperature and soil pH.Analysis of boosted regression tree showed that the predictors accounted for the explained variation included MAP (25.5%),aboveground biomass (23.6%),soil organic carbon content (18.3%) and soil organic nitrogen content (12.5%),and soil pH and mean annual temperature only explained 10.8% and 9.2% of the total variation,respectively.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/148592
Appears in Collections:气候变化与战略

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作者单位: 中国科学院沈阳应用生态研究所, 森林与土壤生态国家重点实验室, 沈阳, 辽宁 110164, 中国

Recommended Citation:
侯建峰,吕晓涛,王超,等. 中国北方草地土壤呼吸的空间变异及成因[J]. 应用生态学报,2014-01-01,25(10):1191-1198
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