Worm Lab master’s student Bethany Nordstrom tells DalNews about the importance of understanding jellyfish in order to help endangered Leatherback sea turtles.
Worm Lab PhD student Manuel Dureuil speaks with CTV Atlantic about shark perceptions, threats, and what is being done to track and protect them.
Various news outlets spoke with Dalhousie researcher and Worm Lab MSc student Bethany Nordstrom about a rare and potentially dangerous creature washing up on the shores of Nova Scotia. CBC Nova Scotia News at 6 (Video): Play from 3:31-6:23 CTV News Article CBC News Article National Post Article 1 National Post Article 2 Humber News Article City…
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Anisha Rajaselvam is a Grade 8 student who worked as an Ocean School peer educator. The CBC’s Felicia Latour speaks with her, and our oceans guy Boris Worm, after learning the initiative will get a quarter million dollars in federal funding.
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A unique project aimed at educating students on the world’s oceans is being created by Dalhousie University in partnership with the National Film Board of Canada. Global’s Jennifer Grudic reports.
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Dal scientists are working with NFB filmmakers to bring the ocean education to life through engaging learning experiences using cutting-edge technologies, powerful storytelling techniques and audiovisual teaching platforms.
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Middle-school students in Nova Scotia will be diving into the world’s underwater ecosystems through a new interactive program.
Ocean School, developed by Dalhousie University and the National Film Board, combines video footage with information provided by marine scientists.
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Productivity is a central determinant of population dynamics with consequences for population viability, resilience to exploitation, and extinction. In fish, the strength of a cohort is typically established during early life stages. Traditional approaches to measuring productivity do not allow for interannual variation in the maximum reproductive rate, a parameter governing population productivity. Allowing such process variation provides the ability to track dynamic changes instead of assuming a static productivity regime. Here we develop and evaluate a multivariate stock–recruitment state-space model to simultaneously estimate time-varying stock productivity and synchronicity of dynamics across populations.
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