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<article language="en">
	<journal>
		<journal_title>Biogeosciences</journal_title>
		<journal_url>www.biogeosciences.net</journal_url>
		<issn>1726-4170</issn>
		<eissn>1726-4189</eissn>
		<volume_number>6</volume_number>
		<issue_number>10</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/bg-6-2297-2009</doi>
	<article_url>http://www.biogeosciences.net/6/2297/2009/</article_url>
	<abstract_html>http://www.biogeosciences.net/6/2297/2009/bg-6-2297-2009.html</abstract_html>
	<fulltext_pdf>http://www.biogeosciences.net/6/2297/2009/bg-6-2297-2009.pdf</fulltext_pdf>
	<start_page>2297</start_page>
	<end_page>2312</end_page>
	<publication_date>2009-10-30</publication_date>
	<article_title content_type="html">Biosphere-atmosphere exchange of CO&lt;sub&gt;2&lt;/sub&gt; in relation to climate: a cross-biome analysis across multiple time scales</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>P. C. Stoy</name>
			<email>paul.stoy@ed.ac.uk</email>
		</author>
		<author numeration="2" affiliations="3">
			<name>A. D. Richardson</name>
		</author>
		<author numeration="3" affiliations="4">
			<name>D. D. Baldocchi</name>
		</author>
		<author numeration="4" affiliations="5">
			<name>G. G. Katul</name>
		</author>
		<author numeration="5" affiliations="6">
			<name>J. Stanovick</name>
		</author>
		<author numeration="6" affiliations="7,8">
			<name>M. D. Mahecha</name>
		</author>
		<author numeration="7" affiliations="7">
			<name>M. Reichstein</name>
		</author>
		<author numeration="8" affiliations="4">
			<name>M. Detto</name>
		</author>
		<author numeration="9" affiliations="9">
			<name>B. E. Law</name>
		</author>
		<author numeration="10" affiliations="10">
			<name>G. Wohlfahrt</name>
		</author>
		<author numeration="11" affiliations="11">
			<name>N. Arriga</name>
		</author>
		<author numeration="12" affiliations="12">
			<name>J. Campos</name>
		</author>
		<author numeration="13" affiliations="13">
			<name>J. H. McCaughey</name>
		</author>
		<author numeration="14" affiliations="14,15">
			<name>L. Montagnani</name>
		</author>
		<author numeration="15" affiliations="16">
			<name>K. T. Paw U</name>
		</author>
		<author numeration="16" affiliations="17">
			<name>S. Sevanto</name>
		</author>
		<author numeration="17" affiliations="1">
			<name>M. Williams</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">School of GeoSciences, University of Edinburgh, Edinburgh EH9 3JN, UK</affiliation>
		<affiliation numeration="2" content_type="html">Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717-3120, USA</affiliation>
		<affiliation numeration="3" content_type="html">Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA</affiliation>
		<affiliation numeration="4" content_type="html">Department of Environmental Science, Policy, and Management, University of California at Berkeley, Berkeley, CA, USA</affiliation>
		<affiliation numeration="5" content_type="html">Nicholas School of the Environment and Earth Sciences, Duke University, Box 90328, Durham, NC 27708, USA</affiliation>
		<affiliation numeration="6" content_type="html">USDA Forest Service, Northern Research Station, Newtown Square, PA 19073, USA</affiliation>
		<affiliation numeration="7" content_type="html">Max Planck Institute for Biogeochemistry, P.O. Box 10 01 64, 07701 Jena, Germany</affiliation>
		<affiliation numeration="8" content_type="html">Department of Environmental Sciences, ETH, 8092 ZÃ¼rich, Switzerland</affiliation>
		<affiliation numeration="9" content_type="html">Department of Forest Science, Oregon State University, USA</affiliation>
		<affiliation numeration="10" content_type="html">Institut fÃ¼r Ã–kologie, UniversitÃ¤t Innsbruck, Austria</affiliation>
		<affiliation numeration="11" content_type="html">Department of Forest Science and Environment, University of Tuscia, 01100 Viterbo, Italy</affiliation>
		<affiliation numeration="12" content_type="html">Instituto Nacional de Pesquisas da AmazÃ´nia â€“ INPA, Manaus, Brasil</affiliation>
		<affiliation numeration="13" content_type="html">Department of Geography, Queen&apos;s University, Canada</affiliation>
		<affiliation numeration="14" content_type="html">Forest Service and Agency for the Environment, Autonomous Province of Bolzano, Bolzano, Italy</affiliation>
		<affiliation numeration="15" content_type="html">University of Bolzano/Bozen, Bolzano, Italy</affiliation>
		<affiliation numeration="16" content_type="html">Department of Land, Air, and Water Resources, University of California, Davis, USA</affiliation>
		<affiliation numeration="17" content_type="html">Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland</affiliation>
	</affiliations>
	<abstract content_type="html">The net ecosystem exchange of CO&lt;sub&gt;2&lt;/sub&gt; (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 &quot;multi-annual&quot; 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 CO&lt;sub&gt;2&lt;/sub&gt; exchange.</abstract>
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