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Journal ArticleDOI

Does biodiversity of estuarine phytoplankton depend on hydrology

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TLDR
In this paper, a screening model was developed to predict the growth rate required for a phytoplankton species to be present under different flushing conditions and apply it to estuaries in the EU and US to show how changes in physical forcing may alter biodiversity.
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This article is published in Ecological Modelling.The article was published on 2005-10-10. It has received 112 citations till now. The article focuses on the topics: Eutrophication & Phytoplankton.

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Effects of nutrient enrichment in the nation's estuaries: A decade of change

TL;DR: An updated assessment of nutrient related impacts in US estuaries was completed in 2007 as discussed by the authors, which evaluated three components for each estuary: the influencing factors (e.g., land use, nutrient loads), the overall eutrophic condition (i.e., chlorophyll a, presence of nuisance/toxic algae and macroalgae, extent of dissolved oxygen problems, loss of submerged aquatic vegetation), and future outlook).
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The EU Water Framework Directive: From great expectations to problems with implementation

TL;DR: How the Directive has been interpreted is reviewed, focusing on its intentions and how they were applied, revealing the absence of the paradigm shift towards the systems (integrated) thinking that the WFD was grounded on, as a fundamental problem with its implementation.
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Monsoonal impact on planktonic standing stock and abundance in a tropical estuary (Cochin backwaters – India)

TL;DR: In this paper, environmental studies in the Cochin backwaters (CBW), a tropical estuary along the southwest coast of India showed that seasonal fluctuations in salinity created by the monsoonal rainfall and associated run off is a major factor controlling the distribution and abundance of micro- and mesozooplankton.
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Ecological Stoichiometry, Biogeochemical Cycling, Invasive Species, and Aquatic Food Webs: San Francisco Estuary and Comparative Systems

TL;DR: In this paper, 30-year records of nitrogen and phosphorus concentrations and ratios, phytoplankton, zooplankston, macroinvertebrates, and fish in the San Francisco Estuary (Bay Delta) were examined to collectively interpret ecosystem changes within the framework of ecological stoichiometry.
References
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Journal Article

Photoinhibition of photosynthesis in natural assemblages of marine phytoplankton

TL;DR: In this article, a new empirical equation is introduced that describes the photosynthesi s by phytoplankton as a single, continuous function of available light from the initi al linear response through the photoinhibited range at the highest light levels.
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Harmful algal blooms: Their ecophysiology and general relevance to phytoplankton blooms in the sea

TL;DR: HAB flagellates exhibit significant ecophysiological differences when compared to diatoms, including greater biophysical vulnerability to turbulence, greater bloom dependence on water-mass stratification, greater nutritional diversity involving mixotrophic tendencies, greater potential use of allelochemical mechanisms in interspecific competition and antipredation defenses, and unique behaviorial consequences of their motility.
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Nutrient changes in the Mississippi River and system responses on the adjacent continental shelf

TL;DR: The Mississippi River system ranks among the world's top 10 rivers in freshwater and sediment inputs to the coastal ocean and contributes 90% of the freshwater loading to the Gulf of Mexico, and terminates amidst one of the United States' most productive fisheries regions and the location of the largest zone of hypoxia, in the western Atlantic Ocean as mentioned in this paper.
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Environmental control of photosynthesis in the sea

TL;DR: In this article, a theoretical equation for the photosynthesis-light relation is developed which includes the effects of inhibition in intense light, assuming that phytoplankton adapts to seasonal light changes and that nutrient deficiency affects the carbon:chlorophyll ratio of natural phyto-ankton populations.
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A comment on the use of flushing time, residence time, and age as transport time scales

TL;DR: This work identifies the underlying assumptions associated with each transport time scale, describes procedures for computing these time scales in idealized cases, and identifies pitfalls when real-world systems deviate from these idealizations.
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