期刊
NATURE CLIMATE CHANGE
卷 6, 期 4, 页码 407-+出版社
NATURE PORTFOLIO
DOI: 10.1038/NCLIMATE2878
关键词
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资金
- INTERFACE RCN (NSF) [DEB-0955771]
- Purdue Climate Change Research Center
- NASA Earth and Space Science fellowship [NNX13AN65H]
- National Oceanic and Atmospheric (US Department of Commerce) [NAOSOAR4320752]
- US Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program [DE-FG02-04ER63917, DE-FG02-04ER63911]
- CFCAS
- NSERC
- BIOCAP
- Environment Canada
- NRCan
- LBA
- CarboEuropeIP
- FAO-GTOS-TCO
- iLEAPS
- Max Planck Institute for Biogeochemistry
- National Science Foundation
- University of Tuscia
- Universite Laval
- US Department of Energy
- NASA [468656, NNX13AN65H] Funding Source: Federal RePORTER
Plant photosynthesis and respiration are the largest carbon fluxes between the terrestrial biosphere and the atmosphere(1), and their parameterizations represent large sources of uncertainty in projections of land carbon uptake in Earth system models(2,3) (ESMs). The incorporation of temperature acclimation of photosynthesis and foliar respiration, commonly observed processes, into ESMs has been proposed as a way to reduce this uncertainty(2). Here we show that, across 15 flux tower sites spanning multiple biomes at various locations worldwide (10 degrees S-67 degrees N), acclimation parameterizations(4,5) improve a model's ability to reproduce observed net ecosystem exchange of CO2. This improvement is most notable in tropical biomes, where photosynthetic acclimation increased model performance by 36%. The consequences of acclimation for simulated terrestrial carbon uptake depend on the process, region and time period evaluated. Globally, including acclimation has a net effect of increasing carbon assimilation and storage, an effect that diminishes with time, but persists well into the future. Our results suggest that land models omitting foliar temperature acclimation are likely to overestimate the temperature sensitivity of terrestrial carbon exchange, thus biasing projections of future carbon storage and estimates of policy indicators such as the transient climate response to cumulative carbon emissions(1).
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