4.8 Article

Influences of light and humidity on carbonyl sulfide-based estimates of photosynthesis

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1807600116

关键词

carbonyl sulfide; photosynthesis; stomatal conductance; carbon cycle

资金

  1. University of Groningen
  2. National Oceanic and Atmospheric Administration Climate Program Office Grant [NA13OAR4310082]
  3. European Union's Horizon 2020 research and innovation program [654182]
  4. Vilho, Yrjo, and Kalle Vaisala Foundation
  5. Integrated Carbon Observation System-Finland [281255]
  6. Academy of Finland Center of Excellence program [307331]
  7. NSF CAREER Award [1455381]
  8. Directorate For Geosciences [1455381] Funding Source: National Science Foundation
  9. Div Atmospheric & Geospace Sciences [1455381] Funding Source: National Science Foundation

向作者/读者索取更多资源

Understanding climate controls on gross primary productivity (GPP) is crucial for accurate projections of the future land carbon cycle. Major uncertainties exist due to the challenge in separating GPP and respiration from observations of the carbon dioxide (CO2) flux. Carbonyl sulfide (COS) has a dominant vegetative sink, and plant COS uptake is used to infer GPP through the leaf relative uptake (LRU) ratio of COS to CO2 fluxes. However, little is known about variations of LRU under changing environmental conditions and in different phenological stages. We present COS and CO2 fluxes and LRU of Scots pine branches measured in a boreal forest in Finland during the spring recovery and summer. We find that the diurnal dynamics of COS uptake is mainly controlled by stomatal conductance, but the leaf internal conductance could significantly limit the COS uptake during the daytime and early in the season. LRU varies with light due to the differential light responses of COS and CO2 uptake, and with vapor pressure deficit (VPD) in the peak growing season, indicating a humidity-induced stomatal control. Our COS-based GPP estimates show that it is essential to incorporate the variability of LRU with environmental variables for accurate estimation of GPP on ecosystem, regional, and global scales.

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