期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 114, 期 42, 页码 11081-11086出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1707889114
关键词
carbon uptake; earth observation; snowmelt
资金
- Academy of Finland CARBARC [285630]
- ESA GlobSnow
- Academy of Finland Centre of Excellence [118780]
- Academy Professor projects [1284701, 1282842]
- Integrated Carbon Observation System (ICOS) [271878]
- ICOS-Finland [281255]
- ICOS-ERIC [281250]
- Nordic Centres of Excellence
- DEFROST
- CRAICC
- TCOS-Siberia European Union (EU) [NEVK2-2001-00143]
- Max-Planck Institute for Biogeochemistry
- KrasFlux Russian Science Fund project [14-24-00113]
- Academy of Finland (AKA) [285630, 285630] Funding Source: Academy of Finland (AKA)
- Russian Science Foundation [14-24-00113] Funding Source: Russian Science Foundation
We determine the annual timing of spring recovery from space-borne microwave radiometer observations across northern hemisphere boreal evergreen forests for 1979-2014. We find a trend of advanced spring recovery of carbon uptake for this period, with a total average shift of 8.1 d (2.3 d/decade). We use this trend to estimate the corresponding changes in gross primary production (GPP) by applying in situ carbon flux observations. Micrometeoro-logical CO2 measurements at four sites in northern Europe and North America indicate that such an advance in spring recovery would have increased the January-June GPP sum by 29 g.C.m(-2) [8.4 g.C.m(-2) (3.7%)/decade]. We find this sensitivity of the measured springtime GPP to the spring recovery to be in accordance with the corresponding sensitivity derived from simulations with a land ecosystem model coupled to a global circulation model. The model-predicted increase in springtime cumulative GPP was 0.035 Pg/decade [15.5 g.C.m(-2) (6.8%)/decade] for Eurasian forests and 0.017 Pg/decade for forests in North America [9.8 g.C.m(-2) (4.4%)/decade]. This change in the springtime sum of GPP related to the timing of spring snowmelt is quantified here for boreal evergreen forests.
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