Photoacclimation and Photoadaptation Sensitivity in a Global Ocean Ecosystem Model

Details

• Journal Title:
  Journal of Advances in Modeling Earth Systems
• Personal Author:
  Stock, Charles A. ; Dunne, John P. ; Luo, Jessica Y. ; Ross, Andrew C. ; Van Oostende, Nicolas ; Zadeh, Niki ; Cordero, Theresa J. ; Liu, Xiao ; Teng, Yi‐Cheng
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory)
• Description:
  Chlorophyll underpins ocean productivity yet simulating chlorophyll across biomes, seasons and depths remains challenging for earth system models. Inconsistencies are often attributed to misrepresentation of the myriad nutrient supply, growth and loss processes that govern phytoplankton biomass. They may also arise, however, from unresolved or misspecified photoacclimation or photoadaptation responses. A series of global ocean ecosystem simulations were conducted to assess these latter sensitivities: alternative photoacclimation schemes implicitly modulated investments in light harvesting versus photodamage avoidance and other cellular functions. Photoadaptation experiments probed the impact of adding low‐ and high‐light adapted phytoplankton ecotypes. Results showed that photoacclimation and photoadaptation alternatives generate chlorophyll differences exceeding a factor of 2 in some regions and seasons. In stratified waters, photoadaptation and acclimation to light levels over mixing depths consistent with the timescale of photoadaptation (days) benefitted model performance. In regions and seasons with deep mixed layers, surface‐skewed photoacclimation yielded improved fidelity across satellite chlorophyll products. Large photoacclimation‐driven differences in chlorophyll concentration had small impacts on primary productivity and carbon export, unlike those arising from changes in the nutrient supply. Improved photoacclimation and photoadaption constraints are thus needed to reduce ambiguities in the drivers of chlorophyll change and their biogeochemical implications.
• Source:
  Journal of Advances in Modeling Earth Systems, 17(6)
• DOI:
  https://doi.org/10.1029/2024MS004701
• ISSN:
  1942-2466 ; 1942-2466
• Format:
  PDF
• Publisher:
  American Geophysical Union (AGU)
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by-nc-nd/4.0/
• Rights Information:
  CC BY-NC-ND
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:2132f0e0ffc1690e0d997f036f1dc3380bdb741902a3108f7cfb146c1f7e19136b3bb33451832032c4204810a12847f8f6307d2372b06bb60905c2c1b828a24a
• Download URL:
  https://repository.library.noaa.gov/view/noaa/71097/noaa_71097_DS1.pdf
• File Type:
  [PDF - 6.82 MB ]