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

Thumbnail Image
Soloway, Ashley
Journal Title
Journal ISSN
Volume Title
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.
Eddy covariance, Carbon balance, Flux, Carbon flux, Black spruce forest, Forest carbon balance, Gap-filling, Flux tower, Boreal forest