globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.12127
论文题名:
Gap filling strategies and error in estimating annual soil respiration
作者: Gomez-Casanovas N.; Anderson-Teixeira K.; Zeri M.; Bernacchi C.J.; Delucia E.H.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期:6
起始页码: 1941
结束页码: 1952
语种: 英语
英文关键词: Calculation error ; Carbon cycle ; Measurement ; Temporal extrapolation
Scopus关键词: accuracy assessment ; carbon dioxide ; carbon flux ; error analysis ; interpolation ; measurement method ; soil respiration ; soil temperature ; temporal analysis ; algorithm ; article ; reproducibility ; soil ; temperature ; Algorithms ; Reproducibility of Results ; Soil ; Temperature
英文摘要: Soil respiration (Rsoil) is one of the largest CO2 fluxes in the global carbon (C) cycle. Estimation of annual Rsoil requires extrapolation of survey measurements or gap filling of automated records to produce a complete time series. Although many gap filling methodologies have been employed, there is no standardized procedure for producing defensible estimates of annual Rsoil. Here, we test the reliability of nine different gap filling techniques by inserting artificial gaps into 20 automated Rsoil records and comparing gap filling Rsoil estimates of each technique to measured values. We show that although the most commonly used techniques do not, on average, produce large systematic biases, gap filling accuracy may be significantly improved through application of the most reliable methods. All methods performed best at lower gap fractions and had relatively high, systematic errors for simulated survey measurements. Overall, the most accurate technique estimated Rsoil based on the soil temperature dependence of Rsoil by assuming constant temperature sensitivity and linearly interpolating reference respiration (Rsoil at 10 °C) across gaps. The linear interpolation method was the second best-performing method. In contrast, estimating Rsoil based on a single annual Rsoil - Tsoil relationship, which is currently the most commonly used technique, was among the most poorly-performing methods. Thus, our analysis demonstrates that gap filling accuracy may be improved substantially without sacrificing computational simplicity. Improved and standardized techniques for estimation of annual Rsoil will be valuable for understanding the role of Rsoil in the global C cycle. © 2012 Blackwell Publishing Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62419
Appears in Collections:影响、适应和脆弱性

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作者单位: Energy Biosciences Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States; Institute of Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States; Centro de Ciência do Sistema Terrestre, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP 12630-000, Brazil; Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, United States; Global Change and Photosynthesis Research Unit, Agricultural Research Service, USDA, Urbana, IL 61801, United States; Smithsonian Conservation Biology Institute (Front Royal, Virginia), Smithsonian Institution Global Earth Observatory-Center for Tropical Forest Science, Smithsonian Tropical Research Institute, Panama

Recommended Citation:
Gomez-Casanovas N.,Anderson-Teixeira K.,Zeri M.,et al. Gap filling strategies and error in estimating annual soil respiration[J]. Global Change Biology,2013-01-01,19(6)
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