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A comparison of gap-filling methods for a long-term eddy covariance dataset from a Northern Old-growth Black Spruce forest

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dc.contributor.supervisor Amiro, Brian (Soil Science) en_US
dc.contributor.author Soloway, Ashley
dc.date.accessioned 2016-08-24T18:45:02Z
dc.date.available 2016-08-24T18:45:02Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/1993/31600
dc.description.abstract Boreal old-growth forests are key determinants in the global carbon cycle. It is unknown how the role of persistent old-growth forests will be in the carbon cycle in the face of predicted climatic changes. Eddy-covariance measurements are commonly used to quantify carbon exchange between ecosystems, such as forests, and the atmosphere. Error due to gap-fill method is of particular interest in these datasets. Here we filled a 15-year eddy covariance dataset from the Northern Old-Growth Boreal Black Spruce (Picea mariana) site located near Thompson, in central Manitoba, Canada using four different gap-fill methods. Our objectives were to determine if choice of gap-fill method affected annual NEP and if these errors compounded to even greater differences over the 15-year study period. Most significant differences in NEP among methods occurred from September to December, but variations during the growing season were responsible for most of the annual differences. en_US
dc.subject Eddy covariance en_US
dc.subject Carbon balance en_US
dc.subject Flux en_US
dc.subject Carbon flux en_US
dc.subject Black spruce forest en_US
dc.subject Forest carbon balance en_US
dc.subject Gap-filling en_US
dc.subject Flux tower en_US
dc.subject Boreal forest en_US
dc.title A comparison of gap-filling methods for a long-term eddy covariance dataset from a Northern Old-growth Black Spruce forest en_US
dc.degree.discipline Soil Science en_US
dc.contributor.examiningcommittee Tenuta, Mario (Soil Science) Papakyriakou, Tim (Department of Environment and Geography) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2016 en_US


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