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Research Project
Copernicus Evolution – Research for Transitional-water Observation
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Integrating in situ and ocean color data to evaluate ecological quality under the water framework directive
Publication . Brito, Ana C.; Garrido-Amador, Paloma; Gameiro, Carla; Nogueira, Marta; Calixto De Jesus Moita Garnel, Maria Teresa; Cabrita, Maria Teresa
TheWater Framework Directive (WFD) aims at evaluating the ecological status of European
coastal water bodies (CWBs). This is a rather complex task and first requires the use of long-term
databases to assess the e ect of anthropogenic pressure on biological communities. An in situ dataset
was assembled using concomitant biological, i.e., chlorophyll a (Chl a) and environmental data,
covering the years from 1995 to 2014, to enable a comprehensive assessment of eutrophication in
the Western Iberia Coast (WIC). Given the temporal gaps in the dataset, especially in terms of Chl a,
satellite observations were used to complement it. Positive relationships between Chl a 90th percentile
and nitrogen concentrations were obtained. The Land-Uses Simplified Index (LUSI), as a pressure
indicator, showed no relationship with Chl a, except in Galicia, but it highlighted a higher continental
pressure in the Portuguese CWBs in comparison with Galician waters. In general terms, the trophic
index (TRIX) showed that none of the CWBs were in degraded conditions. Nevertheless, the relatively
high TRIX and LUSI values obtained for the water body in front of Tagus estuary suggest that this
area should be subject to continued monitoring. Results highlighted the usefulness of satellite data
in water quality assessments and set the background levels for the implementation of operational
monitoring based on satellite Chl a. In the future, low uncertainty and harmonized satellite products
across countries should be provided. Moreover, the assessment of satellite-based eutrophication
indicators should also include metrics on phytoplankton phenology and community structure.
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Funding agency
European Commission
Funding programme
H2020
Funding Award Number
870349