Multiyear predictability of tropical marine productivity

  • Roland Séférian
  • , Laurent Bopp
  • , Marion Gehlen
  • , Didier Swingedouw
  • , Juliette Mignot
  • , Eric Guilyardi
  • , Jérôme Servonnat

Research output: Contribution to journalArticlepeer-review

Abstract

With the emergence of decadal predictability simulations, research toward forecasting variations of the climate system now covers a large range of timescales. However, assessment of the capacity to predict natural variations of relevant biogeochemical variables like carbon fluxes, pH, or marine primary productivity remains unexplored. Among these, the net primary productivity (NPP) is of particular relevance in a forecasting perspective. Indeed, in regions like the tropical Pacific (30°N-30°S), NPP exhibits natural fluctuations at interannual to decadal timescales that have large impacts on marine ecosystems and fisheries. Here, we investigate predictions of NPP variations over the last decades (i.e., from 1997 to 2011) with an Earth system model within the tropical Pacific. Results suggest a predictive skill for NPP of 3 y, which is higher than that of sea surface temperature (1 y). We attribute the higher predictability of NPP to the poleward advection of nutrient anomalies (nitrate and iron), which sustain fluctuations in phytoplankton productivity over several years. These results open previously unidentified perspectives to the development of science-based management approaches to marine resources relying on integrated physical-biogeochemical forecasting systems.

Original languageEnglish
Pages (from-to)11646-11651
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume111
Issue number32
DOIs
Publication statusPublished - 12 Aug 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Ecosystem management
  • Forecast
  • Marine biogeochemistry

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