Seasonal to multiannual marine ecosystem prediction with a global Earth system model
Park, J-y.; Stock, C.A.; Dunne, J.P.; Yang, X.; Rosati, A. (2019). Seasonal to multiannual marine ecosystem prediction with a global Earth system model. Science (Wash.) 365(6450): 284-288. https://dx.doi.org/10.1126/science.aav6634
In: Science (Washington). American Association for the Advancement of Science: New York, N.Y. ISSN 0036-8075; e-ISSN 1095-9203, meer
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| Auteurs | | Top |
- Park, J-y.
- Stock, C.A.
- Dunne, J.P.
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| Abstract |
Climate variations have a profound impact on marine ecosystems and the communities that depend upon them. Anticipating ecosystem shifts using global Earth system models (ESMs) could enable communities to adapt to climate fluctuations and contribute to long-term ecosystem resilience. We show that newly developed ESM-based marine biogeochemical predictions can skillfully predict satellite-derived seasonal to multiannual chlorophyll fluctuations in many regions. Prediction skill arises primarily from successfully simulating the chlorophyll response to the El Niño–Southern Oscillation and capturing the winter reemergence of subsurface nutrient anomalies in the extratropics, which subsequently affect spring and summer chlorophyll concentrations. Further investigations suggest that interannual fish-catch variations in selected large marine ecosystems can be anticipated from predicted chlorophyll and sea surface temperature anomalies. This result, together with high predictability for other marine-resource–relevant biogeochemical properties (e.g., oxygen, primary production), suggests a role for ESM-based marine biogeochemical predictions in dynamic marine resource management efforts. |
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