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A Monte Carlo approach to estimate the uncertainty in soil CO2 emissions caused by spatial and sample size variability
Shi, Wei-Yu1,2; Su, Li-Jun3; Song, Yi1; Ma, Ming-Guo4; Du, Sheng2
2015-10-01
发表期刊ECOLOGY AND EVOLUTION
ISSN2045-7758
卷号5期号:19页码:4480-4491
文章类型Article
摘要

The soil CO2 emission is recognized as one of the largest fluxes in the global carbon cycle. Small errors in its estimation can result in large uncertainties and have important consequences for climate model predictions. Monte Carlo approach is efficient for estimating and reducing spatial scale sampling errors. However, that has not been used in soil CO2 emission studies. Here, soil respiration data from 51 PVC collars were measured within farmland cultivated by maize covering 25km(2) during the growing season. Based on Monte Carlo approach, optimal sample sizes of soil temperature, soil moisture, and soil CO2 emission were determined. And models of soil respiration can be effectively assessed: Soil temperature model is the most effective model to increasing accuracy among three models. The study demonstrated that Monte Carlo approach may improve soil respiration accuracy with limited sample size. That will be valuable for reducing uncertainties of global carbon cycle.

关键词Maize Monte Carlo Approach Oasis Soil Respiration Uncertainty
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1002/ece3.1729
关键词[WOS]Semiarid Loess Plateau ; Terrestrial Ecosystems ; Climate-change ; Respiration ; Temperature ; Efflux ; China ; Flux ; Transpiration ; Dependence
收录类别SCI
语种英语
WOS研究方向Environmental Sciences & Ecology
WOS类目Ecology
WOS记录号WOS:000362523300022
出版者WILEY-BLACKWELL
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文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/9240
专题生态环境研究室
通讯作者Shi, Wei-Yu
作者单位1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China
2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
3.Xian Univ Technol, Sch Sci, Xian 710054, Shaanxi, Peoples R China
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
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GB/T 7714
Shi, Wei-Yu,Su, Li-Jun,Song, Yi,et al. A Monte Carlo approach to estimate the uncertainty in soil CO2 emissions caused by spatial and sample size variability[J]. ECOLOGY AND EVOLUTION,2015,5(19):4480-4491.
APA Shi, Wei-Yu,Su, Li-Jun,Song, Yi,Ma, Ming-Guo,&Du, Sheng.(2015).A Monte Carlo approach to estimate the uncertainty in soil CO2 emissions caused by spatial and sample size variability.ECOLOGY AND EVOLUTION,5(19),4480-4491.
MLA Shi, Wei-Yu,et al."A Monte Carlo approach to estimate the uncertainty in soil CO2 emissions caused by spatial and sample size variability".ECOLOGY AND EVOLUTION 5.19(2015):4480-4491.
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