Biosphere-atmosphere exchange of CO2 in relation to climate: a cross-biome analysis across multiple time scales

被引：129

作者：

Stoy, P. C. ^{[1
,2
]}

Richardson, A. D. ^{[3
]}

Baldocchi, D. D. ^{[4
]}

Katul, G. G. ^{[5
]}

Stanovick, J. ^{[6
]}

Mahecha, M. D. ^{[7
,8
]}

Reichstein, M. ^{[7
]}

Detto, M. ^{[4
]}

Law, B. E. ^{[9
]}

Wohlfahrt, G. ^{[10
]}

Arriga, N. ^{[11
]}

Campos, J. ^{[12
]}

McCaughey, J. H. ^{[13
]}

Montagnani, L. ^{[14
,15
]}

U, K. T. Paw ^{[16
]}

Sevanto, S. ^{[17
]}

Williams, M. ^{[1
]}

机构：

[1] Univ Edinburgh, Sch Geosci, Edinburgh EH9 3JN, Midlothian, Scotland

[2] Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA

[3] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA

[4] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA

[5] Duke Univ, Nicholas Sch Environm & Earth Sci, Durham, NC 27708 USA

[6] US Forest Serv, USDA, No Res Stn, Newtown Sq, PA 19073 USA

[7] Max Planck Inst Biogeochem, D-07701 Jena, Germany

[8] ETH, Dept Environm Sci, CH-8092 Zurich, Switzerland

[9] Oregon State Univ, Dept Forest Sci, Corvallis, OR 97331 USA

[10] Univ Innsbruck, Inst Okol, A-6020 Innsbruck, Austria

[11] Univ Tuscia, Dept Forest Sci & Environm, I-01100 Viterbo, Italy

[12] INPA, Manaus, Amazonas, Brazil

[13] Queens Univ, Dept Geog, Kingston, ON K7L 3N6, Canada

[14] Forest Serv & Agcy Environm, Bolzano, Italy

[15] Univ Bolzano Bozen, Bolzano, Italy

[16] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA

[17] Univ Helsinki, Dept Phys, FIN-00014 Helsinki, Finland

来源：

BIOGEOSCIENCES | 2009年 / 6卷 / 10期

基金：

美国国家科学基金会;

关键词：

NET ECOSYSTEM EXCHANGE; WATER-VAPOR EXCHANGE; CARBON-DIOXIDE; SOIL RESPIRATION; MODEL INTERCOMPARISONS; SPATIAL VARIABILITY; HARDWOOD FORESTS; ROOT RESPIRATION; EUROPEAN FORESTS; ADJACENT PINE;

D O I：

10.5194/bg-6-2297-2009

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

The net ecosystem exchange of CO2 (NEE) varies at time scales from seconds to years and longer via the response of its components, gross ecosystem productivity (GEP) and ecosystem respiration (RE), to physical and biological drivers. Quantifying the relationship between flux and climate at multiple time scales is necessary for a comprehensive understanding of the role of climate in the terrestrial carbon cycle. Orthonormal wavelet transformation (OWT) can quantify the strength of the interactions between gappy eddy covariance flux and micrometeorological measurements at multiple frequencies while expressing time series variance in few energetic wavelet coefficients, offering a low-dimensional view of the response of terrestrial carbon flux to climatic variability. The variability of NEE, GEP and RE, and their co-variability with dominant climatic drivers, are explored with nearly one thousand site-years of data from the FLUXNET global dataset consisting of 253 eddy covariance research sites. The NEE and GEP wavelet spectra were similar among plant functional types (PFT) at weekly and shorter time scales, but significant divergence appeared among PFT at the biweekly and longer time scales, at which NEE and GEP were relatively less variable than climate. The RE spectra rarely differed among PFT across time scales as expected. On average, RE spectra had greater low frequency (monthly to interannual) variability than NEE, GEP and climate. CANOAK ecosystem model simulations demonstrate that 'multi-annual' spectral peaks in flux may emerge at low (4+ years) time scales. Biological responses to climate and other internal system dynamics, rather than direct ecosystem response to climate, provide the likely explanation for observed multi-annual variability, but data records must be lengthened and measurements of ecosystem state must be made, and made available, to disentangle the mechanisms responsible for low frequency patterns in ecosystem CO2 exchange.

引用

页码：2297 / 2312

页数：16

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