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Mathieu Woillez
IFREMER
Spatial ecologyEcologyPopulationFisheryBiology
37Publications
12H-index
458Citations
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Publications 39
Newest
#1Chloé Dambrine ('IFREMER': IFREMER)
#2Martin Huret ('IFREMER': IFREMER)H-Index: 16
Last. Hélène de Pontual ('IFREMER': IFREMER)H-Index: 22
view all 7 authors...
Abstract The European seabass (Dicentrarchus labrax) is a species of particular ecological and economic importance. Stock assessments have recently revealed the worrying state of the “Northern stock”, probably due to overfishing and a series of poor recruitments. The extent to which these poor recruitments are due to environmental variability is difficult to assess, as the processes driving the seabass life cycle are poorly known. Here we investigate how food availability and temperature may aff...
Source
#1Pierre Petitgas ('IFREMER': IFREMER)H-Index: 29
#2Didier Renard (ENSMP: Mines ParisTech)H-Index: 6
Last. Jacques Rivoirard (ENSMP: Mines ParisTech)H-Index: 15
view all 8 authors...
This paper presents a novel application of the geostatistical multivariate method known as min–max autocorrelation factors (MAFs) for analysing fisheries survey data in a space–time context. The method was used to map essential fish habitats and evaluate the variability in time of their occupancy. Research surveys at sea on marine fish stocks have been undertaken for several decades now. The data are time series of yearly maps of fish density, making it possible to analyse the space–time variabi...
Source
#1Hélène de Pontual ('IFREMER': IFREMER)H-Index: 22
#2Maxime Lalire ('IFREMER': IFREMER)H-Index: 2
Last. Mathieu Woillez ('IFREMER': IFREMER)H-Index: 12
view all 8 authors...
data storage tags were deployed on European seabass in the Iroise Natural Marine Park, a marine protected area (MPA) off west Brittany, France. A return rate of 14.6% associated with long time series of data provided new information on fish ecology (e.g. maximum experienced depth greater than 225 m, temperature range 6.80-21.87 C). Depth and temperature series were used to infer individual migration using an innovative hidden Markov model (HMM) especially developed for seabass geolocation. Recon...
5 CitationsSource
#1Neill Campbell (Marine Scotland)H-Index: 1
Last. Mathieu Woillez ('IFREMER': IFREMER)H-Index: 12
view all 21 authors...
Source
#1Pierre Petitgas ('IFREMER': IFREMER)H-Index: 29
#2Mathieu Woillez ('IFREMER': IFREMER)H-Index: 12
Last. Jacques Rivoirard (PSL Research University)H-Index: 15
view all 4 authors...
Marine research survey data on fish stocks often show a small proportion of very high-density values, as for many environmental data. This makes the estimation of second-order statistics, such as the variance and the variogram, non-robust. The high fish density values are generated by fish aggregative behaviour, which may vary greatly at small scale in time and space. The high values are thus imprecisely known, both in their spatial occurrence and order of magnitude. To map such data, three indi...
Source
#1Karine Heerah ('IFREMER': IFREMER)H-Index: 1
#2Mathieu Woillez ('IFREMER': IFREMER)H-Index: 12
Last. Hélène de Pontual ('IFREMER': IFREMER)H-Index: 22
view all 6 authors...
Background Movement pattern variations are reflective of behavioural switches, likely associated with different life history traits in response to the animals’ abiotic and biotic environment. Detecting these can provide rich information on the underlying processes driving animal movement patterns. However, extracting these signals from movement time series, requires tools that objectively extract, describe and quantify these behaviours. The inference of behavioural modes from movement patterns h...
2 CitationsSource
#1Sarah HinckleyH-Index: 10
#2Carolina Parada (UdeC: University of Concepción)H-Index: 12
Last. Mathieu Woillez ('IFREMER': IFREMER)H-Index: 12
view all 5 authors...
Abstract Biophysical individual-based models (IBMs) have been used to study aspects of early life history of marine fishes such as recruitment, connectivity of spawning and nursery areas, and marine reserve design. However, there is no consistent approach to validating the spatial outputs of these models. In this study, we hope to rectify this gap. We document additions to an existing individual-based biophysical model for Alaska walleye pollock (Gadus chalcogrammus), some simulations made with ...
7 CitationsSource
#1Mathieu Woillez (NMFS: National Marine Fisheries Service)H-Index: 12
#2Paul D. Walline (NMFS: National Marine Fisheries Service)H-Index: 4
Last. André E. Punt (UW: University of Washington)H-Index: 51
view all 6 authors...
4 CitationsSource
#1Adrien Tableau ('IFREMER': IFREMER)H-Index: 2
#2Anik Brind'Amour ('IFREMER': IFREMER)H-Index: 12
Last. H. Le Bris (Agrocampus Ouest)H-Index: 4
view all 4 authors...
Soft sediments in coastal shallow waters constitute nursery habitats for juveniles of several flatfishes. The quality of a nursery is defined by its capacity to optimize the growth and the survival of juvenile fish. The influence of biotic factors, such as food availability, is poorly studied at the scale of a nursery ground. Whether food availability limits juvenile survival is still uncertain. A spatial approach is used to understand the influence of food availability on the distribution of ju...
4 CitationsSource
#1Pierre Gloaguen (Agro ParisTech)H-Index: 2
#2Mathieu Woillez ('IFREMER': IFREMER)H-Index: 12
Last. Etienne Rivot (Agrocampus Ouest)H-Index: 19
view all 5 authors...
Understanding fishing vessel dynamics at a fine spatial scale is of great interest for defining appropriate spatial management plans. Different models have been developed to detect fishing activity from Vessel Monitoring System (VMS) data. While mathematical and statistical methods differ, all rely on the idea that vessel speed over ground provides information on fishing vessel activity. However, trawling with constant speed relative to the water mass may as well prove a winning strategy for bot...
2 CitationsSource
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