Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 44, Issue 3, Pages 1564-1573Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2016GL070842
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Funding
- NSERC
- NASA [NNX16AF94A]
- National Aeronautics and Space Administration
- National Science Foundation Collaborative Research on Carbon, Water, and Energy Balance of the Arctic Landscape at Flagship Observatories in Alaska and Siberia
- CARVE subcontract [1443296]
- Division of Polar Programs of the National Science Foundation (NSF) [1204263]
- NERC [NE/P003028/1, NE/P002552/1] Funding Source: UKRI
- Natural Environment Research Council [NE/P002552/1, NE/P003028/1] Funding Source: researchfish
- NASA [905081, NNX16AF94A] Funding Source: Federal RePORTER
- Office of Polar Programs (OPP)
- Directorate For Geosciences [1503912] Funding Source: National Science Foundation
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Accurately quantifying the timing and magnitude of respiration and photosynthesis by high-latitude ecosystems is important for understanding how a warming climate influences global carbon cycling. Data-driven estimates of photosynthesis across Arctic regions often rely on satellite-derived enhanced vegetation index (EVI); we find that satellite observations of solar-induced chlorophyll fluorescence (SIF) provide a more direct proxy for photosynthesis. We model Alaskan tundra CO2 cycling (2012-2014) according to temperature and shortwave radiation and alternately input EVI or SIF to prescribe the annual seasonal cycle of photosynthesis. We find that EVI-based seasonality indicates spring green-up to occur 9 days prior to SIF-based estimates, and that SIF-based estimates agree with aircraft and tower measurements of CO2. Adopting SIF, instead of EVI, for modeling the seasonal cycle of tundra photosynthesis can result in more accurate estimates of growing season duration and net carbon uptake by arctic vegetation.
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