Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles

Author:

Le Quéré CorinneORCID,Buitenhuis Erik T.ORCID,Moriarty RóisínORCID,Alvain Séverine,Aumont Olivier,Bopp Laurent,Chollet Sophie,Enright Clare,Franklin Daniel J.,Geider Richard J.,Harrison Sandy P.,Hirst Andrew G.,Larsen Stuart,Legendre LouisORCID,Platt Trevor,Prentice I. ColinORCID,Rivkin Richard B.,Sailley Sévrine,Sathyendranath Shubha,Stephens Nick,Vogt Meike,Vallina Sergio M.

Abstract

Abstract. Global ocean biogeochemistry models currently employed in climate change projections use highly simplified representations of pelagic food webs. These food webs do not necessarily include critical pathways by which ecosystems interact with ocean biogeochemistry and climate. Here we present a global biogeochemical model which incorporates ecosystem dynamics based on the representation of ten plankton functional types (PFTs): six types of phytoplankton, three types of zooplankton, and heterotrophic procaryotes. We improved the representation of zooplankton dynamics in our model through (a) the explicit inclusion of large, slow-growing macrozooplankton (e.g. krill), and (b) the introduction of trophic cascades among the three zooplankton types. We use the model to quantitatively assess the relative roles of iron vs. grazing in determining phytoplankton biomass in the Southern Ocean high-nutrient low-chlorophyll (HNLC) region during summer. When model simulations do not include macrozooplankton grazing explicitly, they systematically overestimate Southern Ocean chlorophyll biomass during the summer, even when there is no iron deposition from dust. When model simulations include a slow-growing macrozooplankton and trophic cascades among three zooplankton types, the high-chlorophyll summer bias in the Southern Ocean HNLC region largely disappears. Our model results suggest that the observed low phytoplankton biomass in the Southern Ocean during summer is primarily explained by the dynamics of the Southern Ocean zooplankton community, despite iron limitation of phytoplankton community growth rates. This result has implications for the representation of global biogeochemical cycles in models as zooplankton faecal pellets sink rapidly and partly control the carbon export to the intermediate and deep ocean.

Publisher

Copernicus GmbH

Subject

Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics

Reference141 articles.

1. Agawin, N. S. R., Duarte, C. M., and Agusti, S.: Growth and abundance of Synechococcus sp. in a Mediterranean Bay: seasonality and relationship with temperature, Mar. Ecol.-Prog. Ser., 170, 45–53, 1998.

2. Aita, M. N., Yamanaka, Y., and Kishi, M. J.: Effects of ontogenetic vertical migration of zooplankton on annual primary production – using NEMURO embedded in a general circulation model, Fish. Oceanogr., 12, 284–290, 2003.

3. Alvain, S., Moulin, C., Dandonneau, Y., and Breon, F. M.: Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery, Deep-Sea Res. Pt. I, 52, 1989–2004, 2005.

4. Anderson, L. A. and Sarmiento, J. L.: Redfield Ratios of Remineralization Determined by Nutrient Data-Analysis, Global Biogeochem. Cy., 8, 65–80, 1994.

5. Antonov, J. I., Locarnini, R. A., Boyer, T. P., Mishonov, A. V., and Garcia, H. E.: World Ocean Atlas 2005, Volume 2: Salinity, US Government Printing Office, Washington D.C., 192, 2006.

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