The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status?
Abigail McQuatters-Gollop
1
,
Pierre Hélaouët
1
,
Nicholas J. P. Owens
2
,
Dionysios E. Raitsos
3
,
D. C. Schroeder
4
,
Jennifer Skinner
1
,
R. Stern
1
1
Sir Alister Hardy Foundation for Ocean Science (SAHFOS), The Laboratory, Citadel Hill, Plymouth PL1 2PB, UK
|
4
Marine Biological Association (MBA), The Laboratory, Citadel Hill, Plymouth PL1 2PB, UK
|
Publication type: Journal Article
Publication date: 2015-09-01
scimago Q1
wos Q1
SJR: 0.833
CiteScore: 5.4
Impact factor: 2.6
ISSN: 02727714, 10960015
Aquatic Science
Oceanography
Abstract
Phytoplankton are crucial to marine ecosystem functioning and are important indicators of environmental change. Phytoplankton data are also essential for informing management and policy, particularly in supporting the new generation of marine legislative drivers, which take a holistic ecosystem approach to management. The Marine Strategy Framework Directive (MSFD) seeks to achieve Good Environmental Status (GES) of European seas through the implementation of such a management approach. This is a regional scale directive which recognises the importance of plankton communities in marine ecosystems; plankton data at the appropriate spatial, temporal and taxonomic scales are therefore required for implementation. The Continuous Plankton Recorder (CPR) survey is a multidecadal, North Atlantic–basin scale programme which routinely records approximately 300 phytoplankton taxa. Because of these attributes, the survey plays a key role in the implementation of the MSFD and the assessment of GES in the Northeast Atlantic region. This paper addresses the role of the CPR's phytoplankton time-series in delivering GES through the development and informing of MSFD indicators, the setting of targets against a background of climate change and the provision of supporting information used to interpret change in non-plankton indicators. We also discuss CPR data in the context of other phytoplankton data types that may contribute to GES, as well as explore future possibilities for the use of new and innovative applications of CPR phytoplankton datasets in delivering GES. Efforts must be made to preserve long-term time series, such as the CPR, which supply vital ecological information used to informed evidence-based environmental policy.
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GOST
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McQuatters-Gollop A. et al. The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status? // Estuarine, Coastal and Shelf Science. 2015. Vol. 162. pp. 88-97.
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McQuatters-Gollop A., Edwards M. H., Hélaouët P., Johns D. M., Owens N. J. P., Raitsos D. E., Schroeder D. C., Skinner J., Stern R. The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status? // Estuarine, Coastal and Shelf Science. 2015. Vol. 162. pp. 88-97.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.ecss.2015.05.010
UR - https://doi.org/10.1016/j.ecss.2015.05.010
TI - The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status?
T2 - Estuarine, Coastal and Shelf Science
AU - McQuatters-Gollop, Abigail
AU - Edwards, Martin H.
AU - Hélaouët, Pierre
AU - Johns, David Merritt
AU - Owens, Nicholas J. P.
AU - Raitsos, Dionysios E.
AU - Schroeder, D. C.
AU - Skinner, Jennifer
AU - Stern, R.
PY - 2015
DA - 2015/09/01
PB - Elsevier
SP - 88-97
VL - 162
SN - 0272-7714
SN - 1096-0015
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2015_McQuatters-Gollop,
author = {Abigail McQuatters-Gollop and Martin H. Edwards and Pierre Hélaouët and David Merritt Johns and Nicholas J. P. Owens and Dionysios E. Raitsos and D. C. Schroeder and Jennifer Skinner and R. Stern},
title = {The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status?},
journal = {Estuarine, Coastal and Shelf Science},
year = {2015},
volume = {162},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.ecss.2015.05.010},
pages = {88--97},
doi = {10.1016/j.ecss.2015.05.010}
}