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CO2 Flux Estimation by Di®erent Regression Methods froman Alpine Meadow on the Qinghai-Tibetan Plateau
Jiang CM(姜春明); Yu GR(于贵瑞); Cao GM(曹广民); Li YN(李英年); Zhang SC(张世春); Fang HJ(方华军)
2010
发表期刊ADVANCES IN ATMOSPHERIC SCIENCES
卷号27期号:6页码:1372-1379
摘要CO2 e²ux was estimated using di®erent regression methods in static chamber observation from an alpinemeadow on the Qinghai-Tibetan Plateau. The CO2 e²ux showed a seasonal pattern, with the maximun°ux occurring in the middle of July. The temperature sensitivity of CO2 e²ux (Q10) was 3.9, which wasat the high end of the range of global values. CO2 emissions calculated by linear and nonlinear regressionwere signi¯cantly di®erent (p <0.05). Compared with the linear regression, CO2 emissions calculated by
exponential regression and quadratic regression were 12.7% and 11.2% larger, respectively. However, therewere no signi¯cant di®erences in temperature sensitivity values estimated by the three methods. In theentire growing season, the CO2 e²ux estimated by linear regression may be underestimated by up to 25%compared to the real CO2 e²ux. Consequently, great caution should be taken when using published °uxdata obtained by linear regression of static chamber observations to estimate the regional CO2 °ux in alpinemeadows on the Qinghai-Tibetan Plateau.
关键词Co2 Emission Static Chamber Technique Nonlinearity Underestimation Qinghai-tibetan Plateau
学科领域环境生物学
收录类别CSCD
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文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/1493
专题中国科学院西北高原生物研究所
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GB/T 7714
Jiang CM,Yu GR,Cao GM,et al. CO2 Flux Estimation by Di®erent Regression Methods froman Alpine Meadow on the Qinghai-Tibetan Plateau[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2010,27(6):1372-1379.
APA Jiang CM,Yu GR,Cao GM,Li YN,Zhang SC,&Fang HJ.(2010).CO2 Flux Estimation by Di®erent Regression Methods froman Alpine Meadow on the Qinghai-Tibetan Plateau.ADVANCES IN ATMOSPHERIC SCIENCES,27(6),1372-1379.
MLA Jiang CM,et al."CO2 Flux Estimation by Di®erent Regression Methods froman Alpine Meadow on the Qinghai-Tibetan Plateau".ADVANCES IN ATMOSPHERIC SCIENCES 27.6(2010):1372-1379.
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