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Grant: Discovery Grants Program - Individual

Memorial University of Newfoundland

$33,000.00

Modelling groundfish spatial dynamics in the Northwest Atlantic

EF 2021-22

Résumé
Unprecedented geographical redistribution of marine species challenges current approaches to the management and conservation of marine living resources and ecosystems. More flexible fisheries management measures are increasingly requested to cope with observed and predicted species range shifts. Quantitative forecasting of species distributions at several time scales (daily to decadal) is widely used to promote adaptive fisheries management. However, the reliability of these forecasts is often questioned due to limitations and knowledge gaps. Limitations include the non-inclusion of population adaptation to local thermal regimes and little incorporation of seasonal variations in environmental conditions and habitat use. Knowledge gaps include limited understanding of the mechanisms driving species range shifts. The long-term goal of this research program is to identify the drivers of variability in the spatial dynamics of groundfish populations to improve projections of species distributions in response to climate and fishing at multiple temporal scales. The unique approach proposed in this research program is to extend the use of telemetry technologies from the traditional characterization of the migratory behaviour of individuals to the quantification of population-level spatial processes. Telemetry technologies provide an underutilized source of high-resolution fishery independent data to quantify drivers of groundfish spatial dynamics. Focusing on Atlantic cod and Atlantic halibut in the Northwest Atlantic, my team will address four complimentary short-term objectives: (1) determining a minimum sample size to infer population-level depth and temperature preferences; (2) evaluating seasonal variations in halibut density-dependent habitat selection; (3) assessing how inter-population differences in thermal preferences affect projections of cod distribution; and (4) developing real time forecasts of halibut seasonal distributions. Ensuring that fisheries remain sustainable and profitable in a dynamic environment is critical for the livelihood and food security of coastal communities in Atlantic Canada. In the short-term, the real-time projections of Atlantic halibut distribution will facilitate the implementation of a dynamic approach to manage this commercially important species. In the long-term, a better understanding of the effects of temperature and density dependence on marine fish spatial dynamics will improve the reliability of species distribution forecasts. More reliable forecasts will assist policy makers and fisheries managers in designing effective marine protected areas and updating allocations of fishery catch and effort to better reflect range shifts in marine species. This research program will promote data literacy for students by training them in statistical analysis, data visualization, computer programming and manipulating large data sets. These skills are in growing demand across numerous industry sectors in Canada.
Programme
Discovery Grants Program - Individual
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2019-05203
Name nom
Le Bris, Arnault
Department département
Centre for Fisheries Ecosystems Research - Marine Institute
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2019
Award amount
33000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
4701
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Animal ecology
Research subject fr
Écologie animale
Installment
inst:3
Partie
1
Nb partie
5
Application title
Modelling groundfish spatial dynamics in the Northwest Atlantic
Keyword
NSERC
Application summary
Unprecedented geographical redistribution of marine species challenges current approaches to the management and conservation of marine living resources and ecosystems. More flexible fisheries management measures are increasingly requested to cope with observed and predicted species range shifts. Quantitative forecasting of species distributions at several time scales (daily to decadal) is widely used to promote adaptive fisheries management. However, the reliability of these forecasts is often questioned due to limitations and knowledge gaps. Limitations include the non-inclusion of population adaptation to local thermal regimes and little incorporation of seasonal variations in environmental conditions and habitat use. Knowledge gaps include limited understanding of the mechanisms driving species range shifts. The long-term goal of this research program is to identify the drivers of variability in the spatial dynamics of groundfish populations to improve projections of species distributions in response to climate and fishing at multiple temporal scales. The unique approach proposed in this research program is to extend the use of telemetry technologies from the traditional characterization of the migratory behaviour of individuals to the quantification of population-level spatial processes. Telemetry technologies provide an underutilized source of high-resolution fishery independent data to quantify drivers of groundfish spatial dynamics. Focusing on Atlantic cod and Atlantic halibut in the Northwest Atlantic, my team will address four complimentary short-term objectives: (1) determining a minimum sample size to infer population-level depth and temperature preferences; (2) evaluating seasonal variations in halibut density-dependent habitat selection; (3) assessing how inter-population differences in thermal preferences affect projections of cod distribution; and (4) developing real time forecasts of halibut seasonal distributions. Ensuring that fisheries remain sustainable and profitable in a dynamic environment is critical for the livelihood and food security of coastal communities in Atlantic Canada. In the short-term, the real-time projections of Atlantic halibut distribution will facilitate the implementation of a dynamic approach to manage this commercially important species. In the long-term, a better understanding of the effects of temperature and density dependence on marine fish spatial dynamics will improve the reliability of species distribution forecasts. More reliable forecasts will assist policy makers and fisheries managers in designing effective marine protected areas and updating allocations of fishery catch and effort to better reflect range shifts in marine species. This research program will promote data literacy for students by training them in statistical analysis, data visualization, computer programming and manipulating large data sets. These skills are in growing demand across numerous industry sectors in Canada.