The carbon balance of a managed boreal landscape measured from a tall tower in northern Sweden

• Published in: Agricultural and Forest Meteorology
• Main Authors: Chi, Jinshu, Nilsson, Mats B., Kljun, Natascha, Wallerman, Jörgen, Fransson, Johan, Laudon, Hjalmar, Lundmark, Tomas, Peichl, Matthias
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2019
• Subjects: Physical Geography; Forest Science; Boreal landscape; Tall tower eddy covariance; Footprint analysis; Land cover heterogeneity; CO2 Flux; Northern Sweden
• Online Access: https://lup.lub.lu.se/record/10cb77c0-683b-4cb3-aae8-bacacda29f7c; https://doi.org/10.1016/j.agrformet.2019.04.010

Boreal forests exchange large amounts of carbon dioxide (CO2) with the atmosphere. A managed boreal landscape usually comprises various potential CO2 sinks and sources across forest stands of varying age classes, clear-cut areas, mires, and lakes. Due to this heterogeneity and complexity, large uncertainties exist regarding the net CO2 balance at the landscape scale. In this study, we present the first estimate of the net CO2 exchange over a managed boreal landscape (∼68 km2) in northern Sweden, based on tall tower eddy covariance measurements. Our results suggest that from March 1, 2016 to February 28, 2018, the heterogeneous landscape was a net CO2 sink with a 2-year mean uptake of −87 ± 6 g C m−2 yr−1. Due to an earlier and warmer spring and sunnier autumn, the landscape was a stronger CO2 sink during the first year (−122 ± 8 g C m−2) compared to the second year (−52 ± 9 g C m−2). Footprint analysis shows that 87% of the CO2 flux measurements originated from forests, whereas mires, clear-cuts, lakes, and grassland contributed 11%, 1%, 0.7%, and 0.2%, respectively. Altogether, the CO2 sink strength of the heterogeneous landscape was up to 38% lower compared to the sink strength of a mature stand surrounding the tower. Overall, this study suggests that the managed boreal landscape acted as a CO2 sink and advocates tall tower eddy covariance measurements to improve regional carbon budget estimates.