Academic staff

Laurent BARILLE

Professor

Contact details

Laboratoire Mer Molécules Santé Faculté des Sciences 2 rue de la Houssinière 44322 Nantes Cedex 3

Phone
0251125655 (n° interne : 455655)
Email
Laurent.Barille@univ-nantes.fr

Taught academic discipline(s)

Aquaculture, benthic ecology, biostatistics, structure and functionning of coastal areas,remote sensing

Research topics

Multi- and Hyperspectral remote sensing of intertidal areas. Microscale mapping of macrophytes and invertebrates. Bivalve ecophysiology and modeling. Structure and functionning of shellfish ecosystems. Off-shore aquaculture.

Activities / Resume

Diplômes

2007 Habilitation "Analysis of bivalve-microalgae interaction in coastal ecosystems

1995 PhD thesis University of  La Rochelle

Ecophysiology of the Pacific oyster Crassostrea gigas  :  from ultrastructure studies to modeling

Last  publications

Brunier G., Oiry S., Gruet Y., Dubois S., Barillé L., 2022. Topographic analysis of intertidal polychaete reefs (Sabellaria alveolata) at a very high spatial resolution. Remote Sensing, 14,307, 736116, doi: 10.3390/rs14020307 (IF 5.3).
 

reddin c., Decottignies p., Bacouillard l., Barillé l., Dubois s., Echappé c., Gernez p., Jesus b., Méléder v., Nätscher p., Turpin v., Zeppilli d., Zwerschke n., Brind'Amour a., Cognie b., 202 Extensive spatial impacts of oyster reefs on an intertidal mudflat community via predator facilitation. Communications Biology (2022)5:250 https://doi.org/10.1038/s42003-022-03192-4 www.nature.com/commsbio (IF 6.3)
 

Krupandan A.G., Gernez P., Palmer S., Thomas Y., Barillé  L., 2022. Exploring South African Pacific oyster mariculture potential through combined Earth Observation and bioenergetics modeling. Aquaculture Reports (IF3.2), vol. 24, June 2022, 101155, https://doi.org/10.1016/j.aqrep.2022.101155
 

ZOFFOLI M.L., GERNEZ P.,  OIRY S., GODET L.,  DALLOYAU S.,  DAVIES B.F.R., Barillé L., 2022.  Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades. Remote Sensing in Ecology and Conservation, accepted (IF5.5)

Brunier G., Oiry S., LACHAUSSéE N., Barillé L., LE FOUEST V., MéLéDER V., 2022. A machine learning approach to intertidal mudflat mapping combining multispectral reflectance and geomorphology from UAV-based monitoring. Remote Sensing, 14, 5857, https://doi.org/10.3390/rs14225857 (IF 5.3)
Mis à jour le 22 November 2023.
https://www.univ-nantes.fr/laurent-barille-1