Grant: Discovery Grants Program - Ship Time
Université du Québec à Trois-Rivières
$46,224.00
Isotopic study of contaminant biomagnification and fish growth in the St. Lawrence River food web
EF 2009-10
Résumé
Several water masses with very distinctive characteristics make up the fresh-water section of the St. Lawrence River (SLR). In particular, carbonate-rich 'green' waters from the Great Lakes and the 'brown' waters from the Ottawa River draining the Canadian Shield stand out. These waters do not mix subtantially until they pass Lake Saint-Pierre, near Trois-Rivières. Green and brown waters differ in productivity, transparence, and contaminant loads. Using the research vessel Lampsilis, a unique platform to sample shallow areas of the SLR, we will collect invertebrates and six species of fish. State-of-the-art techniques such as stable isotope analysis and molecular genetics will allow us to identify fish species and age classes of fish that live in either one of the water masses or continually travel between them. We will test the hypothesis that affiliation to a water masse inferred from isotopic analyses can be used to predict concentration of mercury in fish of the SLR, a ubiquitous contaminant in this ecosystem. If confirmed, this result would then enable us to model contaminant fluxes from various water masses in the SLR from hydrological data, thus predicting a complex ecological variable (contaminant concentration) from a simple one (hydrology). Likewise, we will investigate if fish living in different water masses show different patterns in growth rate.
Programme
Discovery Grants Program - Ship Time
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
372617-2009
Name nom
Cabana, Gilbert
Department département
Chimie-biologie
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2009
Award amount
46224
Program id
RGPST
Program nane en
Discovery Grants Program - Ship Time
Program name fr
Programme de subventions à la découverte - temps navire
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
362
Committee name en
Ship Time Allocations Committee
Committee name fr
Comité d'allocation de Temps Navire
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4705
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Ecotoxicology
Research subject fr
Écotoxicologie
Partie
1
Nb partie
1
Application title
Isotopic study of contaminant biomagnification and fish growth in the St. Lawrence River food web
Keyword
NA
Application summary
Several water masses with very distinctive characteristics make up the fresh-water section of the St. Lawrence River (SLR). In particular, carbonate-rich 'green' waters from the Great Lakes and the 'brown' waters from the Ottawa River draining the Canadian Shield stand out. These waters do not mix subtantially until they pass Lake Saint-Pierre, near Trois-Rivières. Green and brown waters differ in productivity, transparence, and contaminant loads. Using the research vessel Lampsilis, a unique platform to sample shallow areas of the SLR, we will collect invertebrates and six species of fish. State-of-the-art techniques such as stable isotope analysis and molecular genetics will allow us to identify fish species and age classes of fish that live in either one of the water masses or continually travel between them. We will test the hypothesis that affiliation to a water masse inferred from isotopic analyses can be used to predict concentration of mercury in fish of the SLR, a ubiquitous contaminant in this ecosystem. If confirmed, this result would then enable us to model contaminant fluxes from various water masses in the SLR from hydrological data, thus predicting a complex ecological variable (contaminant concentration) from a simple one (hydrology). Likewise, we will investigate if fish living in different water masses show different patterns in growth rate.