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 |
ISSN | 2045-7758 |
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 |
DOI | 10.1002/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 |
引用统计 | |
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 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A Monte Carlo approa(409KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论