2003
DOI: 10.1016/j.pocean.2003.08.012
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The Continuous Plankton Recorder survey and the North Atlantic Oscillation: Interannual- to Multidecadal-scale patterns of phytoplankton variability in the North Atlantic Ocean

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Cited by 60 publications
(49 citation statements)
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“…Furthermore, it has been extensively used to describe the seasonal and long-term patterns of phytoplankton abundance in various regions of the North Atlantic ). North Atlantic phytoplankton changes A recent study based on CPR samples showed that much of the North Atlantic exhibited an increase in the PCI during the period from 1948 to 2000 (Barton et al 2003). Barton et al (2003) showed that the positive PCI trends observed in many areas are similar to the long-term trend in the North Atlantic Oscillation (NAO) index and provided hypotheses about the NAO-dependent physical factors underlying the long-term pattern of phytoplankton variability.…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…Furthermore, it has been extensively used to describe the seasonal and long-term patterns of phytoplankton abundance in various regions of the North Atlantic ). North Atlantic phytoplankton changes A recent study based on CPR samples showed that much of the North Atlantic exhibited an increase in the PCI during the period from 1948 to 2000 (Barton et al 2003). Barton et al (2003) showed that the positive PCI trends observed in many areas are similar to the long-term trend in the North Atlantic Oscillation (NAO) index and provided hypotheses about the NAO-dependent physical factors underlying the long-term pattern of phytoplankton variability.…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…E-mail: osherwood@gmail.com. physical oceanographic-driven changes in phytoplankton and zooplankton community structure (20)(21)(22). To resolve this fundamental ambiguity in distinguishing nutrient sources from trophic effects, we present detailed bulk δ 15 N records supplemented with measurements of δ 15 N-AA.…”
mentioning
confidence: 99%
“…To account for the possibility of finding significant correlations by chance, we employed a Monte Carlo procedure similar to the 'field significance' test described in Barton et al (2003). To estimate the probability of finding N correlations with significance values at a particular level, we generated a random CPR time series for each region and 50 d period and computed the correlations with the model output.…”
Section: Methodsmentioning
confidence: 99%