Literature DB >> 27422725

Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data.

M J Bowes1, M Loewenthal2, D S Read3, M G Hutchins3, C Prudhomme4, L K Armstrong3, S A Harman3, H D Wickham3, E Gozzard3, L Carvalho5.   

Abstract

River phytoplankton blooms can pose a serious risk to water quality and the structure and function of aquatic ecosystems. Developing a greater understanding of the physical and chemical controls on the timing, magnitude and duration of blooms is essential for the effective management of phytoplankton development. Five years of weekly water quality monitoring data along the River Thames, southern England were combined with hourly chlorophyll concentration (a proxy for phytoplankton biomass), flow, temperature and daily sunlight data from the mid-Thames. Weekly chlorophyll data was of insufficient temporal resolution to identify the causes of short term variations in phytoplankton biomass. However, hourly chlorophyll data enabled identification of thresholds in water temperature (between 9 and 19°C) and flow (<30m(3)s(-1)) that explained the development of phytoplankton populations. Analysis showed that periods of high phytoplankton biomass and growth rate only occurred when these flow and temperature conditions were within these thresholds, and coincided with periods of long sunshine duration, indicating multiple stressor controls. Nutrient concentrations appeared to have no impact on the timing or magnitude of phytoplankton bloom development, but severe depletion of dissolved phosphorus and silicon during periods of high phytoplankton biomass may have contributed to some bloom collapses through nutrient limitation. This study indicates that for nutrient enriched rivers such as the Thames, manipulating residence time (through removing impoundments) and light/temperature (by increasing riparian tree shading) may offer more realistic solutions than reducing phosphorus concentrations for controlling excessive phytoplankton biomass. Crown
Copyright © 2016. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Algal bloom; Automated monitoring; Chlorophyll; Eutrophication; Nutrients; Water quality

Mesh:

Substances:

Year:  2016        PMID: 27422725     DOI: 10.1016/j.scitotenv.2016.06.239

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

Review 1.  Handling the phosphorus paradox in agriculture and natural ecosystems: Scarcity, necessity, and burden of P.

Authors:  Peter Leinweber; Ulrich Bathmann; Uwe Buczko; Caroline Douhaire; Bettina Eichler-Löbermann; Emmanuel Frossard; Felix Ekardt; Helen Jarvie; Inga Krämer; Christian Kabbe; Bernd Lennartz; Per-Erik Mellander; Günther Nausch; Hisao Ohtake; Jens Tränckner
Journal:  Ambio       Date:  2018-01       Impact factor: 5.129

Review 2.  Responses of Aquatic Plants to Eutrophication in Rivers: A Revised Conceptual Model.

Authors:  Matthew T O'Hare; Annette Baattrup-Pedersen; Inga Baumgarte; Anna Freeman; Iain D M Gunn; Attila N Lázár; Raeannon Sinclair; Andrew J Wade; Michael J Bowes
Journal:  Front Plant Sci       Date:  2018-04-26       Impact factor: 5.753

3.  Nutrient criteria for surface waters under the European Water Framework Directive: Current state-of-the-art, challenges and future outlook.

Authors:  Sandra Poikane; Martyn G Kelly; Fuensanta Salas Herrero; Jo-Anne Pitt; Helen P Jarvie; Ulrich Claussen; Wera Leujak; Anne Lyche Solheim; Heliana Teixeira; Geoff Phillips
Journal:  Sci Total Environ       Date:  2019-08-13       Impact factor: 7.963

  3 in total

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