Valérie Stiger-Pouvreau

Dr. Valérie Stiger-Pouvreau

Institut Universitaire Européen de la Mer (IUEM), Université de Bretagne Occidentale | UBO, Brest, France
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Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2009 in Food Chemistry
Verified
Journal Article
Closed access
MZMayalen Zubia
Mayalen Zubia
MFMarie Sophie Fabre
Marie Sophie Fabre
VKVéronique Kerjean
Véronique Kerjean
KLKlervi Le Lann
Klervi Le Lann
VSValérie Stiger-Pouvreau
Valérie Stiger-Pouvreau
EDEric Deslandes
Eric Deslandes

1 January 2004 in Botanica Marina
Verified
Journal Article
Closed access
SCSolène Connan
Solène Connan
FGFabienne Goulard
Fabienne Goulard
VSValérie Stiger-Pouvreau
Valérie Stiger-Pouvreau
EDEric Deslandes
Eric Deslandes
EGErwan Ar Gall
Erwan Ar Gall
We report here on a survey of phenolic contents in all seaweeds forming belts on a sheltered rocky shore in Brittany (France). Eight species of brown algae (7 Fucales and 1 Laminariales) were investigated over a 14-month period. Levels of phenolic compounds in members of the Fucales were generally above 2% DW and exceeded those found in the Laminariales by a factor of ten. The highest contents were found in species growing at mid-tide level, with a decrease above and below this shore level. There was a seasonal pattern, with a summer maximum for the Fucales and winter maximum for a member of the Laminariales.

1 January 2016
Verified
Book Chapter
Closed access
VSValérie Stiger-Pouvreau
Valérie Stiger-Pouvreau
NBN. Bourgougnon
N. Bourgougnon
EDE. Deslandes
E. Deslandes

1 February 2016 in Food Chemistry
Verified
Journal Article
Closed access
ASAndrea del Pilar Sánchez-Camargo
Andrea del Pilar Sánchez-Camargo
Lidia MonteroLidia Montero
Lidia Montero
VSValérie Stiger-Pouvreau
Valérie Stiger-Pouvreau
ATAnaëlle Tanniou
Anaëlle Tanniou
Alejandro CifuentesAlejandro Cifuentes
Alejandro Cifuentes
Elena IbáñezElena Ibáñez
Elena Ibáñez


17 September 2019 in PLOS ONE
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Journal Article
Open access
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AOAnouck Ody
Anouck Ody
TTThierry THIBAUT
Thierry THIBAUT
LBLéo Berline
Léo Berline
TCThomas Changeux
Thomas Changeux
JAJean-Michel André
Jean-Michel André
FMFrédéric Ménard
Frédéric Ménard
The present study reports on observations carried out in the Tropical North Atlantic in summer and autumn 2017, documenting Sargassum aggregations using both ship-deck observations and satellite sensor observations at three resolutions (MSI-10 m, OLCI-300 m, VIIRS-750 m and MODIS-1 km). Both datasets reported that in summer, Sargassum aggregations were mainly observed off Brazil and near the Caribbean Islands, while they accumulated near the African coast in autumn. Based on in situ observations, we propose a five-class typology allowing standardisation of the description of in situ Sargassum raft shapes and sizes. The most commonly observed Sargassum raft type was windrows, but large rafts composed of a quasi-circular patch hundreds of meters wide were also observed. Satellite imagery showed that these rafts formed larger Sargassum aggregations over a wide range of scales, with smaller aggregations (of tens of m2 area) nested within larger ones (of hundreds of km2). Match-ups between different satellite sensors and in situ observations were limited for this dataset, mainly because of high cloud cover during the periods of observation. Nevertheless, comparisons between the two datasets showed that satellite sensors successfully detected Sargassum abundance and aggregation patterns consistent with in situ observations. MODIS and VIIRS sensors were better suited to describing the Sargassum aggregation distribution and dynamics at Atlantic scale, while the new sensors, OLCI and MSI, proved their ability to detect Sargassum aggregations and to describe their (sub-) mesoscale nested structure. The high variability in raft shape, size, thickness, depth and biomass density observed in situ means that caution is called for when using satellite maps of Sargassum distribution and biomass estimation. Improvements would require additional in situ and airborne observations or very high-resolution satellite imagery.