Journal
MARINE POLLUTION BULLETIN
Volume 175, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2021.113318
Keywords
Green tide; Nitrogen; Phosphorus; Ulva; Tissue nutrient content; Nitrogen isotope ratio
Funding
- EPA Research Strategy (Environmental Protection Agency, Ireland) [2015-W-MS-20, 2018-W-MS-32]
- ERDF Operational Programme
- Department of Economy, Knowledge, Business
- University of the Regional Government of Andalusia [FEDER-UCA18-106875]
- Environmental Protection Agency Ireland (EPA) [2018-W-MS-32, 2015-W-MS-20] Funding Source: Environmental Protection Agency Ireland (EPA)
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The control of macroalgal bloom development is crucial for protecting estuarine ecosystems. The identification of limiting nutrients and their sources is essential for management strategies. Three Irish estuaries were monitored, and it was found that P rather than N limitation affected macroalgal bloom development. Agriculture was identified as the most likely nitrogen source in two estuaries, while urban wastewaters were the likely source in one estuary.
The control of macroalgal bloom development is central for protecting estuarine ecosystems. The identification of the nutrients limiting the development of macroalgal blooms, and their most likely sources is crucial for management strategies. Three Irish estuaries (Argideen, Clonakilty and Tolka) affected by green tides were monitored from June 2016 to August 2017. During each sampling occasion, biomass abundances, tissue N and P contents, and delta N-15 were determined for tubular and laminar morphologies of Ulva. All estuaries showed maximum biomass during summer and minimum during winter. Tissue nutrient contents revealed P rather than N limitation. The delta N-15 during the peak bloom indicated agriculture as the most likely source of nitrogen in the Argideen and Clonakilty, and urban wastewaters in the Tolka. No differences in the delta N-15, and the tissue nutrients content were observed between morphologies. The period between May and July is most suitable for bioassessment of green tides.
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