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The use of monitoring data for identifying factors influencing phytoplankton bloom dynamics in the eutrophic Taw Estuary, SW England.

  • Gerald Maier*
  • , Gillian A. Glegg
  • , Alan D. Tappin
  • , Paul J. Worsfold
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Using the Taw Estuary as an example, data routinely collected by the Environment Agency for England and Wales over the period 1990-2004 were interrogated to identify the drivers of excessive algal growth. The estuary was highly productive with chlorophyll concentrations regularly exceeding 100 microg L(-1), mostly during periods of low freshwater input from the River Taw when estuarine water residence times were longest. However, algal growth in mid estuary was often inhibited by ammonia inputs from the adjacent sewage treatment works. The reported approach demonstrates the value of applying conventional statistical analyses in a structured way to existing monitoring data and is recommended as a useful tool for the rapid assessment of eutrophication. However, future estuarine monitoring should include the collection of dissolved organic nutrient data and targeted high temporal resolution data because the drivers of eutrophication are complex and often very specific to a particular estuary.
Original languageEnglish
Pages (from-to)1007-1015
Number of pages0
JournalMar Pollut Bull
Volume58
Issue number7
DOIs
Publication statusPublished - Jul 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Chlorophyll
  • Chlorophyll A
  • Cluster Analysis
  • Ecosystem
  • England
  • Environmental Monitoring
  • Eutrophication
  • Phytoplankton
  • Regression Analysis
  • Salinity
  • Seawater
  • Time Factors

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