Temperature Response of Respiration Across the Heterogeneous Landscape of the Alaskan Arctic Tundra

• Published in: Journal of Geophysical Research: Biogeosciences
• Main Authors: David A. Lipson, Eric Wilkman, Beniamino Gioli, Walter C. Oechel, Yanfei Tang, Donatella Zona
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: Division of Polar Programs; H2020; Directorate for Geosciences; National Science Foundation; UK Research and Innovation; NSF; NERC; EC; Research and Innovation action; Rural Digital Europe; European Commission; UKRI; Paleontology; Atmospheric Science; Soil Science; Water Science and Technology; Ecology; Aquatic Science; Forestry; Arctic; permafrost; Tundra
• Online Access: https://www.openaccessrepository.it/record/91925; https://doi.org/10.1029/2017jg004227

AbstractPredictions of the response of ecosystem respiration to warming in the Arctic are not well constrained, partly due to the considerable spatial heterogeneity of these permafrost‐dominated areas. Accurate calculations of in situ temperature sensitivities of respiration (Q10) are vital for the prediction of future Arctic emissions. To understand the impact of spatial heterogeneity on respiration rates and Q10, we compared respiration measured from automated chambers across the main local polygonized landscape forms (high and low centers, polygon rims, polygon troughs) to estimates from the flux‐partitioned net ecosystem exchange collected in an adjacent eddy covariance tower. Microtopographic type appears to be the most important variable explaining the variability in respiration rates, and low‐center polygons and polygon troughs show the greatest cumulative respiration rates, possibly linked to their deeper thaw depth and higher plant biomass. Regardless of the differences in absolute respiration rates, Q10 is surprisingly similar across all microtopographic features, possibly indicating a similar temperature limitation to decomposition across the landscape. Q10 was higher during the colder early summer and lower during the warmer peak growing season, consistent with an elevated temperature sensitivity under colder conditions. The respiration measured by the chambers and the estimates from the daytime flux‐partitioned eddy covariance data were within uncertainties during early and peak seasons but overestimated respiration later in the growing season. Overall, this study suggests that it is possible to simplify estimates of the temperature sensitivity of respiration across heterogeneous landscapes but that seasonal changes in Q10 should be incorporated into model simulations.