Engineering a population balance model for long-term fish stock prediction
Engineering a population balance model for long-term fish stock prediction My PhD project aims to develop and implement an age-structured, spatially explicit model to predict the long-term development of fish stocks. The model tries to combine the merits both of individual based models and classical population dynamics models, which treat entire fish stocks as their… DetailsInteraction between people and marine biodiversity, at a regional to global scale
Interaction between people and marine biodiversity, at a regional to global scale My research focuses on the interaction between people and marine biodiversity, at a regional to global scale. On the more academic side, I am interested in how patterns of marine biodiversity arise, how hotspots of high species richness are formed and maintained. On… DetailsEngineering a population balance model for long-term fish stock prediction
Engineering a population balance model for long-term fish stock prediction My PhD project aims to develop and implement an age-structured, spatially explicit model to predict the long-term development of fish stocks. The model tries to combine the merits both of individual based models and classical population dynamics models, which treat entire fish stocks as their… DetailsEngineering a population balance model for long-term fish stock prediction
Engineering a population balance model for long-term fish stock prediction My PhD project aims to develop and implement an age-structured, spatially explicit model to predict the long-term development of fish stocks. The model tries to combine the merits both of individual based models and classical population dynamics models, which treat entire fish stocks as their… DetailsThe productivity of global fish stocks
Global fisheries provide humanity with tremendous food and livelihood, yet the majority of major stocks are in a state of reduced productivity. This is largely due to overfishing, where stocks are driven below the biomass level that provides maximum productivity (i.e. the maximum sustainable yield MSY). However, piecemeal evidence suggests that both environmental change and the biological effects of prolonged overfishing are causing more permanent declines in stock productivity, beyond that which is caused by reduced biomass alone. Using the RAM Legacy Stock Assessment Database, which is the most comprehensive collection of global fisheries time series, I am combining fundamental population models with modern methods of time series analysis to track productivity parameters over time. By first controlling for the effects of reduced biomass, I am looking at how fundamental rates of population growth and recruitment are changing in time and space, and what it means for modern productivity and the rebuilding of overfished stocks.
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Gregory L. Britten - Ph.D. student, Dept. of Biology, Dalhousie University Halifax
Details
Gregory L. Britten - Ph.D. student, Dept. of Biology, Dalhousie University Halifax
Email: greg.britten@dal.ca[/dt_benefit]
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Principal Investigator – Gregory L. Britten (M.Sc. Candidate)
Supervisors - Boris Worm (Professor, Biology, Dalhousie University)
Mike Dowd (Professor, Mathematics and Statistics, Dalhousie University)
[/dt_benefit] [dt_benefit title="PROJECT STATUS" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]In progress[/dt_benefit] [dt_benefit title="TYPE OF PROJECT" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]Scientific research[/dt_benefit]
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Spatial ecology of North Atlantic shark populations
Spatial ecology of North Atlantic shark populations North Atlantic marine ecosystems have experienced severe disruption at higher trophic positions, including large declines in several shark species. In addition, stock assessments for management and conservation purposes are rarely available for shark species, due to a low quantity and quality of data. For example, unreported bycatch and… DetailsThe productivity of global fish stocks
Global fisheries provide humanity with tremendous food and livelihood, yet the majority of major stocks are in a state of reduced productivity. This is largely due to overfishing, where stocks are driven below the biomass level that provides maximum productivity (i.e. the maximum sustainable yield MSY). However, piecemeal evidence suggests that both environmental change and the biological effects of prolonged overfishing are causing more permanent declines in stock productivity, beyond that which is caused by reduced biomass alone. Using the RAM Legacy Stock Assessment Database, which is the most comprehensive collection of global fisheries time series, I am combining fundamental population models with modern methods of time series analysis to track productivity parameters over time. By first controlling for the effects of reduced biomass, I am looking at how fundamental rates of population growth and recruitment are changing in time and space, and what it means for modern productivity and the rebuilding of overfished stocks.
[dt_benefits style="2" columns="2" animation="none" dividers="true" image_background="true"]
[dt_benefit title="PERSONAL INFORMATION" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]
Gregory L. Britten - Ph.D. student, Dept. of Biology, Dalhousie University Halifax
Details
Gregory L. Britten - Ph.D. student, Dept. of Biology, Dalhousie University Halifax
Email: greg.britten@dal.ca[/dt_benefit]
[dt_benefit title="PROJECT LEADS" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]
Principal Investigator – Gregory L. Britten (M.Sc. Candidate)
Supervisors - Boris Worm (Professor, Biology, Dalhousie University)
Mike Dowd (Professor, Mathematics and Statistics, Dalhousie University)
[/dt_benefit] [dt_benefit title="PROJECT STATUS" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]In progress[/dt_benefit] [dt_benefit title="TYPE OF PROJECT" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]Scientific research[/dt_benefit]
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The productivity of global fish stocks
Global fisheries provide humanity with tremendous food and livelihood, yet the majority of major stocks are in a state of reduced productivity. This is largely due to overfishing, where stocks are driven below the biomass level that provides maximum productivity (i.e. the maximum sustainable yield MSY). However, piecemeal evidence suggests that both environmental change and the biological effects of prolonged overfishing are causing more permanent declines in stock productivity, beyond that which is caused by reduced biomass alone. Using the RAM Legacy Stock Assessment Database, which is the most comprehensive collection of global fisheries time series, I am combining fundamental population models with modern methods of time series analysis to track productivity parameters over time. By first controlling for the effects of reduced biomass, I am looking at how fundamental rates of population growth and recruitment are changing in time and space, and what it means for modern productivity and the rebuilding of overfished stocks.
[dt_benefits style="2" columns="2" animation="none" dividers="true" image_background="true"]
[dt_benefit title="PERSONAL INFORMATION" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]
Gregory L. Britten - Ph.D. student, Dept. of Biology, Dalhousie University Halifax
Details
Gregory L. Britten - Ph.D. student, Dept. of Biology, Dalhousie University Halifax
Email: greg.britten@dal.ca[/dt_benefit]
[dt_benefit title="PROJECT LEADS" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]
Principal Investigator – Gregory L. Britten (M.Sc. Candidate)
Supervisors - Boris Worm (Professor, Biology, Dalhousie University)
Mike Dowd (Professor, Mathematics and Statistics, Dalhousie University)
[/dt_benefit] [dt_benefit title="PROJECT STATUS" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]In progress[/dt_benefit] [dt_benefit title="TYPE OF PROJECT" header_size="h4" content_size="normal" target_blank="true" image_link="" hd_image="" image=""]Scientific research[/dt_benefit]
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