2015
DOI: 10.3354/meps11097
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Interannual variations in phytoplankton community structure in the northern California Current during the upwelling seasons of 2001-2010

Abstract: Phytoplankton species were enumerated from 72 samples collected biweekly during the upwelling season (May to August) of 2001−2010 to test for effects of interannual variations in upwelling and decadal basin-scale variability on phytoplankton species composition and community structure. Cluster analysis of phytoplankton community structure identified 7 groups; 1 group was dominated by dinoflagellates while the other groups were dominated by diatoms but with variable ratios of diatom-to-dinoflagellate abundance … Show more

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Cited by 30 publications
(26 citation statements)
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References 31 publications
(45 reference statements)
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“…Statistically, nutrient effects , particularly silicate and nitrate, on the warm mass group d were significant, which suggests that basin‐scale drivers could affect phytoplankton community structure by controlling local nutrients (Bograd et al, ; Di Lorenzo et al, ; Yasunaka et al, ), for example, by affecting the depth of the nutricline and stoichiometry (Jacox et al, ). However, local wind‐induced upwelling events have more direct effects on short‐term nutrient availability to phytoplankton growth and also to the selection of dominants (Du et al, ). The increased proportion of dinoflagellates and the toxic Pseudo‐nitzschia bloom in the warm mass group were likely related to the suppressed nitrate and silicate concentrations (Du et al, ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Statistically, nutrient effects , particularly silicate and nitrate, on the warm mass group d were significant, which suggests that basin‐scale drivers could affect phytoplankton community structure by controlling local nutrients (Bograd et al, ; Di Lorenzo et al, ; Yasunaka et al, ), for example, by affecting the depth of the nutricline and stoichiometry (Jacox et al, ). However, local wind‐induced upwelling events have more direct effects on short‐term nutrient availability to phytoplankton growth and also to the selection of dominants (Du et al, ). The increased proportion of dinoflagellates and the toxic Pseudo‐nitzschia bloom in the warm mass group were likely related to the suppressed nitrate and silicate concentrations (Du et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Warm ocean events, such as strong El Niño and periods of positive Pacific Decadal Oscillation (PDO), have known negative impacts on the ecosystem of the California Current: reduced production of the upper trophic predators (Barber & Chavez, 1983;Peterson et al, 2014;Sydeman et al, 2006), increased frequency of harmful algal blooms (Du et al, 2011(Du et al, , 2016McCabe et al, 2016;McKibben et al, 2015McKibben et al, , 2017, and shifts in copepod community from lipid-rich to lipid-poor species (Fisher et al, 2015;Hooff & Peterson, 2006;Peterson & Keister, 2003). Warm ocean conditions suppress primary production (Thomas et al, 2009) and bring changes in phytoplankton community composition (Balech, 1959;Bolin & Abbott, 1963;Du et al, 2015;Venrick, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…This work builds on previous studies in the southern CCS (Anderson et al 2008, Kim et al 2009, Venrick 2012) and northern CCS (Du et al 2015) that looked at environmental controls on nearshore phytoplankton abundance and community composition. These coastal time series are most relevant to human interactions with the ocean, while more open ocean time series may not be capturing all the dynamics that are occurring.…”
Section: Introductionmentioning
confidence: 89%
“…Low-frequency physical variability attributed to the PDO and ENSO modulates large shifts in NE Pacific water temperature, ocean currents, and foodweb dynamics that can persist for months to years (2,5,6). Shifts in NE Pacific plankton communities occur as well (7)(8)(9)(10)(11)(12); however, climate impacts on phytoplankton ecology in this region are relatively underexplored, largely due to a lack of phytoplankton data at sufficient scales.…”
mentioning
confidence: 99%