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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
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| one publication added to basket [105137] |
Zooplankton and the North Atlantic Oscillation: a basin-scale analysis
Piontkovski, S.A.; O'Brien, T.D.; Umani, S.F.; Krupa, E.G.; Stuge, T.S.; Balymbetov, K.S.; Grishaeva, O.V.; Kasymov, A.G. (2006). Zooplankton and the North Atlantic Oscillation: a basin-scale analysis. J. Plankton Res. 28(11): 1039-1046
In: Journal of Plankton Research. Oxford University Press: New York,. ISSN 0142-7873; e-ISSN 1464-3774, meer
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| Auteurs | | Top |
- Piontkovski, S.A., meer
- O'Brien, T.D.
- Umani, S.F.
- Krupa, E.G.
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- Stuge, T.S.
- Balymbetov, K.S.
- Grishaeva, O.V.
- Kasymov, A.G.
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| Abstract |
This study examines multiple, long-term zooplankton time series across the Atlantic region and its inland seas. Across a broad range of geographic regions and ecological environments, the impact of the North Atlantic Oscillation (NAO) on interannual changes in the zooplankton populations was evident. Across the mid-Atlantic, a correlation between the NAO and zooplankton abundance was present and remained positive from the northwestern Atlantic through the enclosed seas of the far eastern Atlantic. Following high NAO years, these regions experienced higher total zooplankton abundance or biomass. Following low NAO years, this trend was reversed. A time lag in the zooplankton response to the NAO was also evident, influenced more by the scale of the water basin than by latitudinal or longitudinal location. For some regions, the correlation between zooplankton and the NAO was higher when the NAO was substituted with its sub-components: the Azores High (AH) and the Icelandic Low (IL) atmospheric pressure systems. This suggests that decomposition of the NAO into its components might enhance the sensitivity of the analysis of biological time series with regard to climate change. |
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