Non-monotonic Responses of Phytoplankton Biomass Accumulation to Hydrologic Variability: A Comparison of Two Coastal Plain North Carolina Estuaries

Peierls, Benjamin L.; Hall, Nathan S.; Paerl, Hans W.

doi:10.1007/s12237-012-9547-2

Cited by 95 publications

(126 citation statements)

References 37 publications

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“…Chlorophyll a concentrations were consistently lower at station 20 and peaked at mid-estuary stations with an annual average of 25 μg l − 1 before steadily declining downestuary ( Figure 1c). The low biomass at the head of the NRE likely results from short residence times in combination with the 'geochemical filter', where flocculation and aggregation of clay minerals and metal ions increase the turbidity within the water column (Sharp et al, 1984;Peierls et al, 2012). Thus, in combination with rapid flushing rates, light as well as nutrient supplies are likely limiting factors for phytoplankton growth in this section of the NRE (Peierls et al, 2012).…”

Section: Bloom Environmental Conditionsmentioning

confidence: 99%

“…The low biomass at the head of the NRE likely results from short residence times in combination with the 'geochemical filter', where flocculation and aggregation of clay minerals and metal ions increase the turbidity within the water column (Sharp et al, 1984;Peierls et al, 2012). Thus, in combination with rapid flushing rates, light as well as nutrient supplies are likely limiting factors for phytoplankton growth in this section of the NRE (Peierls et al, 2012). Down-estuary of station 30, the NRE widens, resulting in reduced flushing rates, a decrease in turbidity and subsequent increase in primary production and phytoplankton biomass, which results in a rapid depletion of nutrients from the upper water column (Pinckney et al, 1997).…”

Section: Bloom Environmental Conditionsmentioning

confidence: 99%

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Molecular insights into a dinoflagellate bloom

et al. 2016

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In coastal waters worldwide, an increase in frequency and intensity of algal blooms has been attributed to eutrophication, with further increases predicted because of climate change. Yet, the cellular-level changes that occur in blooming algae remain largely unknown. Comparative metatranscriptomics was used to investigate the underlying molecular mechanisms associated with a dinoflagellate bloom in a eutrophied estuary. Here we show that under bloom conditions, there is increased expression of metabolic pathways indicative of rapidly growing cells, including energy production, carbon metabolism, transporters and synthesis of cellular membrane components. In addition, there is a prominence of highly expressed genes involved in the synthesis of membraneassociated molecules, including those for the production of glycosaminoglycans (GAGs), which may serve roles in nutrient acquisition and/or cell surface adhesion. Biotin and thiamine synthesis genes also increased expression along with several cobalamin biosynthesis-associated genes, suggesting processing of B 12 intermediates by dinoflagellates. The patterns in gene expression observed are consistent with bloom-forming dinoflagellates eliciting a cellular response to elevated nutrient demands and to promote interactions with their surrounding bacterial consortia, possibly in an effort to cultivate for enhancement of vitamin and nutrient exchanges and/or direct consumption. Our findings provide potential molecular targets for bloom characterization and management efforts.

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Section: Bloom Environmental Conditionsmentioning

confidence: 99%

Section: Bloom Environmental Conditionsmentioning

confidence: 99%

Molecular insights into a dinoflagellate bloom

et al. 2016

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“…For example, elevated stream flow due to a large storm may deliver large amounts of nutrients, sediment, and organic matter that may alternatively stimulate local blooms, elevate turbidity, or wash biomass out of the system (Peierls et al 2012). Freshwater discharge also influences the physical environment in which primary production occurs by promoting vertical density stratification (Malone et al 1988) and establishing a longitudinal salinity gradient which affects the distribution of species (Quinlan & Phlips 2007).…”

Section: Introductionmentioning

confidence: 99%

Long-term variations in primary production in a eutrophic sub-estuary. I. Seasonal and spatial patterns

Gallegos¹

2014

Mar. Ecol. Prog. Ser.

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Daily rates of phytoplankton primary production were calculated from measurements of light saturation curves of photosynthesis for 20 yr at 6 stations on the Rhode River, Maryland (USA). Daily production, corrected for the geometry and spectrum of the underwater light field, averaged 1319 (range 1.4 to 15 800) mg C m. Log-transformation of the exact solution for depthintegrated daily production permitted linear analysis of seasonal and spatial patterns in production and the factors that determine it. The seasonal signal was the greatest source of variation, followed by spatial then interannual. The seasonal pattern was driven by coinciding summer maxima in both the chlorophyll a (chl a) biomass, B, and the light saturated photosynthetic rate normalized to chl a, P B max . The spatial pattern was characterized by a region in which production was relatively constant despite declining depth, a station at which production was reduced by truncation of the depth profile of production, and an area where mean production was lowest but variance was highest, due to local flow causing either localized blooms or washout of biomass and high turbidity at the station furthest up the estuary. Analysis of the components contributing to the variance in production indicated that variance in B and P B max added nearly equally to it. Covariance between B and the light attenuation coefficient reduced the variance in production. The analytical approach adopted here allowed these patterns to be discerned against a high degree of overall variability, and should be similarly useful in a wide range of systems.

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“…Many studies have also shown that the greater variance of measured IPP can usually be captured by including Chla and DL, along with variables amenable to remote sensing (e.g. Peierls et al, 2012;Banse and Postel, 2003). In this study, P Fig.…”

Section: Discussionmentioning

confidence: 69%

Satellite-Derived Primary Productivity and Its Spatial and Temporal Variability in the Khuremussa (Northwest Persian Gulf)

Dehmordi¹

2016

Appl Ecol Env Res

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Mosavi Dehmordi et al.: Satellite-derived primary productivity and its spatial and temporal variability - Abstract. The vertically generalized production model (VGPM), which was designed for open ocean waters (Behrenfeld and Falkowski, 1997), was evaluated using in situ measurements of primary productivity (PP) in the characteristically turbid coastal waters of Khure-Mussa, in northwest Persian Gulf, to develop a regionally modified version of the model. The euphotic depth (Z eu )-integrated PP (IPP) calculated from the VGPM using in situ chlorophyll a (Chla), sea surface temperature (SST) and Zeu was significantly underestimated ,but 59% of the observed variability was explained. The weak correlation could have partially resulted from overestimations by the sub-models embedded in the original VGPM model for estimation of Z eu (Morel and Berthon, 1989) and the optimal Chla-normalized PP (P B opt ). Chla was the most important parameter influencing the modeled IPP variation in Khure-Mussa. The modeled and in situ P

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Non-monotonic Responses of Phytoplankton Biomass Accumulation to Hydrologic Variability: A Comparison of Two Coastal Plain North Carolina Estuaries

Cited by 95 publications

References 37 publications

Molecular insights into a dinoflagellate bloom

Molecular insights into a dinoflagellate bloom

Long-term variations in primary production in a eutrophic sub-estuary. I. Seasonal and spatial patterns

Satellite-Derived Primary Productivity and Its Spatial and Temporal Variability in the Khuremussa (Northwest Persian Gulf)

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