Researcher Profile

Jean-Pierre Chanut

Job Title: Professor-researcher
Employer: Institut des sciences de la mer de Rimouski (ISMER), Université du Québec à Rimouski (Québec) Canada
Place of Birth: Agen (47-France), Lot-et-Garonne (47), France.
Public School attended: Aiguillon (47-France)
High School attended: Agen (47-France)
Further Education: Université Paul-Sabatier, Toulouse (31-France) (Ph.D.).
Geographic focus of research: Estuary & golfe of St. Lawrence (Québec), France.

Brief synopsis of current research:
Key words : Statistical Analysis and Modeling. Multidimensional statistical analyses, three-way data analysis methods, stochastic modeling (ARMA models), time series, sea level variations, suspended particulate matter, ultraviolet-B radiation impacts on planktonic communities, dynamic of natural and disturbed ecosystems.

Mailing address:
Institut des sciences de la mer de Rimouski (ISMER), Université du Québec à Rimouski (UQAR), 310 allée des Ursulines, Rimouski (Québec) Canada, G5L 3A1
Phone: (418) 723-1986, ext. 1703; Fax: (418) 724-1842
E-mail:
jean-pierre_chanut@uqar.uquebec.ca

Recent Publications:

MOSTAJIR, B., S. DEMERS, S. de MORA, C. BELZILE, J.-P. CHANUT, M. GOSSELIN, S. ROY, J. FAUCHOT, P. ZULEMA VILLEGAS, J. BOUCHARD, D. BIRD, P. MONFORT, & M. LEVASSEUR (1999). Experimental test of the effect of ultraviolet-B radiation in a planktonic community. Limnology and Oceanography 44 (3) : 586-596.

CHATILA, K., S. DEMERS, B. MOSTAJIR, J.-P. CHANUT & P. MONFORT (1999). An endogenous periodicity exhibited in the activity of a natural bacterioplankton community isolated in mesocosms. Journal Canadian Journal of Microbiology 45(7) : 555-564.

HILMI, K., J.-P. CHANUT & M.I. EL-SABH. (1997). Modélisation stochastique des variations à court terme du niveau d'eau dans l'estuaire du Saint-Laurent, Canada. Oceanologica Acta 20(2): 333-348.

ROY, S., J.-P. CHANUT, M. GOSSELIN & T. SIME-NGANDO. (1996). Characterization of phytoplankton communities in the lower St. Lawrence estuary using HPLC-detected pigments and cell taxonomy. Marine Ecology Progress Series 145: 55-73.

SAVENKOFF, C., J.-P. CHANUT, A.F. VÉZINA, and Y. GRATTON. 1995 Distribution of biological activity as determined by multivariate analysis in the lower St. Lawrence Estuary. Estuarine, Coastal and Shelf Science, Vol. 40, pp. 647-664.

Comments:
In Oceanography as it is the case in Ecology, many variables are in interaction and depend from ones to the others. In general, variations are stochastic and come from multiple sources. Statistical methods provide relevant tools for representing large amount of data, detecting significant sources of variation and modeling ecosystems in marine environment.