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dc.contributor.authorStoy, Paul C.
dc.contributor.authorWilliams, Mathew
dc.contributor.authorEvans, Jonathan G.
dc.contributor.authorPrieto-Blanco, Ana
dc.contributor.authorDisney, Mathias
dc.contributor.authorHill, Timothy C.
dc.contributor.authorWard, Helen C.
dc.contributor.authorWade, Thomas J.
dc.contributor.authorStreet, Lorna E.
dc.date.accessioned2016-07-14T15:53:58Z
dc.date.available2016-07-14T15:53:58Z
dc.date.issued2013-05
dc.identifier.citationStoy, Paul, Mathew Williams, Jonathan G. Evans, Ana Prieto-Blanco, Mathias Disney, Timothy C. Hill, Helen C. Ward, Thomas J. Wade, and Lorna E. Street. "Upscaling tundra CO2 exchange from chamber to eddy covariance tower." Arctic, Antarctic, and Alpine Research 45, no. 2 (2013): 275-284.en_US
dc.identifier.issn1523-0430
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/9932
dc.description.abstractExtrapolating biosphere-atmosphere CO2 flux observations to larger scales in space, part of the so-called “upscaling” problem, is a central challenge for surface-atmosphere exchange research. Upscaling CO2 flux in tundra is complicated by the pronounced spatial variability of vegetation cover. We demonstrate that a simple model based on chamber observations with a pan-Arctic parameterization accurately describes up to 75% of the observed temporal variability of eddy covariance—measured net ecosystem exchange (NEE) during the growing season in an Abisko, Sweden, subarctic tundra ecosystem, and differed from NEE observations by less than 4% for the month of June. These results contrast with previous studies that found a 60% discrepancy between upscaled chamber and eddy covariance NEE sums. Sampling an aircraft-measured normalized difference vegetation index (NDVI) map for leaf area index (L) estimates using a dynamic flux footprint model explained less of the variability of NEE across the late June to mid-September period, but resulted in a lower root mean squared error and better replicated large flux events. Findings suggest that ecosystem structure via L is a critical input for modeling CO2 flux in tundra during the growing season. Future research should focus on quantifying microclimate, namely photosynthetically active radiation and air temperature, as well as ecosystem structure via L, to accurately model growing season tundra CO2 flux at chamber and plot scales.en_US
dc.description.sponsorshipU.S. National Science Foundation (grant numbers OPP-0096523, OPP-0352897, DEB-0087046, and DEB-00895825), University of Edinburgh, and Natural Environment Research Council (NERC) (award NE/D005922/1 for the ABACUS consortium; award 03/17 for the NERC ARSF flight that carried the ATM sensor; and support from the NERC Field Spectroscopy Facility [FSF] for the ASD instrument). Stoy acknowledges funding from the Marie Curie European Incoming International Fellowship (project number 237348, TSURF), the National Science Foundation (‘‘Scaling Ecosystem Function: Novel Approaches from MaxEnt and Multiresolution,’’ DBI #1021095), and Montana State University.en_US
dc.titleUpscaling tundra CO2 exchange from chamber to eddy covariance toweren_US
dc.typeArticleen_US
mus.citation.extentfirstpage275en_US
mus.citation.extentlastpage284en_US
mus.citation.issue2en_US
mus.citation.journaltitleArctic, Antarctic, and Alpine Researchen_US
mus.citation.volume45en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1657/1938-4246-45.2.275en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage6en_US


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