Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Volume 368, Issue 1624, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rstb.2012.0485
Keywords
Arctic carbon cycling; net ecosystem exchange of carbon; tundra; carbon cycle modelling; pan-Arctic comparisons
Categories
Funding
- US National Science Foundation's Office of Polar Programs [04-23385, 0807639, 0856853, 1026843]
- US National Science Foundation's Division of Environmental Biology [04-23385, 0807639, 0856853, 1026843]
- NERC [NE/K000292/1] Funding Source: UKRI
- Direct For Biological Sciences
- Division Of Environmental Biology [1026843] Funding Source: National Science Foundation
- Directorate For Geosciences
- Office of Polar Programs (OPP) [0856853] Funding Source: National Science Foundation
- Directorate For Geosciences
- Office of Polar Programs (OPP) [0807639, 1107707] Funding Source: National Science Foundation
- Natural Environment Research Council [NE/K000292/1] Funding Source: researchfish
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Net ecosystem exchange (NEE) of C varies greatly among Arctic ecosystems. Here, we show that approximately 75 per cent of this variation can be accounted for in a single regression model that predicts NEE as a function of leaf area index (LAI), air temperature and photosynthetically active radiation (PAR). The model was developed in concert with a survey of the light response of NEE in Arctic and subarctic tundras in Alaska, Greenland, Svalbard and Sweden. Model parametrizations based on data collected in one part of the Arctic can be used to predict NEE in other parts of the Arctic with accuracy similar to that of predictions based on data collected in the same site where NEE is predicted. The principal requirement for the dataset is that it should contain a sufficiently wide range of measurements of NEE at both high and low values of LAI, air temperature and PAR, to properly constrain the estimates of model parameters. Canopy N content can also be substituted for leaf area in predicting NEE, with equal or greater accuracy, but substitution of soil temperature for air temperature does not improve predictions. Overall, the results suggest a remarkable convergence in regulation of NEE in diverse ecosystem types throughout the Arctic.
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