Synoptic study of variations in the fluorescence based maximum quantum efficiency of photosynthesis across the North Atlantic Ocean

• Published in: Limnology and Oceanography
• Main Authors: Olaizola, Miguel, Geider, Richard J., Harrison, William G., Graziano, Lisa M., Ferrari, Giovanni M., Schlittenhardt, Peter M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 1996
• Subjects: North Atlantic
• Online Access: http://dx.doi.org/10.4319/lo.1996.41.4.0755; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.4319%2Flo.1996.41.4.0755; https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.4319/lo.1996.41.4.0755

Using ship‐based phytoplankton fluorescence techniques on a 9‐d transect of the North Atlantic Ocean, we have produced the first synoptic view of variations in the maximum quantum yield of photosynthetic energy conversion ( ϕ m ) on an ocean‐wide basis. Based on our ϕ m measurements, the North Atlantic can be divided into two basins. The southeastern basin (from the African coast to the midocean ridge) is characterized by relatively little horizontal variation in ϕ m over vast stretches of the ocean. In the northwestern basin (from the midocean ridge to the Canadian coast), we measured lower values of ϕ m than in the eastern basin, particularly in the upper water column. Lowest surface values were found in an area of strong horizontal flow. Our results suggest that nutrient supply limits phytoplankton productivity over vast stretches of the North Atlantic in this period (early summer). However, surface values of ϕ m across the North Atlantic appear to be independent of nutrient concentration and distance to nitrate supply. We propose that horizontal advection may play an important role in determining the local conditions to which phytoplankton productivity parameters respond. Our results also suggest that an apparent relationship between remotely sensed variables (ocean color, sea surface height) and phytoplankton photosynthetic parameters exists that may provide the basis for the development of new algorithms used to estimate phytoplankton productivity from satellites.