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Marie Auger-Méthé
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Rowenna Gryba
PhD Student
Institute for the Oceans & Fisheries Rowenna's PhD is on developing methods to quantitatively include Traditional Ecological Knowledge (TEK) into animal movement and habitat models. To address this she is focusing on ringed seals, spotted seals and bearded seals and their behaviour and habitat use in the Beaufort, Chukchi and Bering Seas. Rowenna will be conducting TEK interviews in Arctic communities in Alaska to document the vast TEK that exists in this region. She will then use a Bayesian statistical framework to equally include the TEK and satellite movement data for these species to identify behaviour, such as foraging and resting, and identify suitable habitat. Rowenna hopes that through these methods TEK can be included into modeling approaches in a new and meaningful way providing more fully informed models and understanding of animal movement and habitat use. She is co-supervised by Dr. Greg Henry.
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Katie Florko
PhD Student
Institute for the Oceans & Fisheries Katie is studying Arctic marine mammal space-use, predator-prey dynamics, and fitness under changing seascapes. She will test empirical ecological questions and identify critical habitat by developing models and collaborating with communities in Southern Hudson Bay to help incorporate local priorities in wildlife management. Katie will test the landscape of fear hypothesis, which predicts that predator (polar bear) space-use will indirectly influence prey (ringed seal) space-use, where prey avoid predator distribution on the seascape. She will model the space-use of polar bear and ringed seal, and how the predator-prey relationship is affected by shifts in sea ice regime. She will also investigate the temporal effects of a poor-ice-year on the fitness and body condition of ringed seals. In addition to identifying future important areas for important Arctic marine mammals, her research will provide insights on the breadth of impact of a poor-ice year, which is essential for proactive management and conservation.
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Joe Watson
PhD Candidate
Department of Statistics Joe is a PhD candidate specialising in the analysis of spatio-temporal data. In particular he uses Gaussian processes (and fast approximations of) to capture hidden spatial and temporal trends. His focus is on modeling problems where the data have been sampled preferentially – that is, when the observations are sampled at locations that depend stochastically on the value of the hidden spatio-temporal field itself. Without properly adjusting for a preferential sampling process, subsequent inference and prediction will be biased (and confidently so...). Unfortunately this fact has largely been ignored by the statistical community in such applications. Therefore his goal is to develop user-friendly methodologies to help researchers address these issues. Despite starting his work in environmental monitoring applications, he now hopes to bring his methodologies into the field of statistical ecology to help adjust for the preferential sampling that is often present in ‘citizen science’ data. He is co-supervised by Dr. Jim Zidek.
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Ron TogunovPhD Student
Institute for the Oceans & Fisheries Ron is doing a PhD on Arctic mammal foraging ecology. He is studying the relationship between foraging behaviour of polar bears, beluga whales, and narwhals, and the environmental conditions that are required for predation. He is using state-space models to identify foraging events and modelling their relationship to environmental factors such as sea ice concentration, ice drift, wind speeds, and presence of industrial noise. He will also map areas where habitats critical to foraging are at risk, and link foraging behaviour and environmental conditions to fitness consequences to polar bears. The importance of foraging makes it a reliable metric from which to model species distribution. His research will help develop species distribution modelling techniques, expand ecological understanding of top Arctic predators, aid conservation and management, and can help improve livelihood in Northern communities.
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Joanna Wong
MSc student
Institute for the Oceans & Fisheries Joanna is studying the migratory connectivity of Arctic tern breeding colonies in Nova Scotia, Northern Hudson Bay, Central Canadian Arctic, and Alaska. Using geolocators and advanced statistical movement analyses, Joanna will map individual routes post-breeding, and quantify the effect of favourable winds on migratory movement patterns. She will also identify staging sites, areas with abundant food resources, and evaluate the effect of primary productivity on individual and group staging. As the longest migrating species in the animal kingdom, Arctic terns play an important role in regulating prey abundance and delivering nutrient inputs across distant areas. Joanna’s research will help identify key sites and quantify the marine areas required to conserve this species. She is co-supervised by Dr. Mark Mallory.
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Gary (Peiyuan) Zhu
MSc student
Department of Statistics Gary is thinking of creative ways of using raw data in fishery stock assessment as opposed to traditional way based on calculated indices. He is also coming up with population models that captures the variation of sex ratio of Pacific Ocean Perch. He also work with Drs. Alexandre Bouchard-Côté and Trevor Campbell to develop Bayesian computational software for ecologists and other data-intensive biological research.
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Sarah Dier-McComb
Using movement and physiological data, Sarah investigates foraging efficiency and winter habitat of Gentoo penguin and how it relates to their reproductive success and physiological condition. She hopes to identify the conservation value to Gentoo penguins of the marine areas around the Falkland Islands. This research will advance our understanding of the impact of foraging location decisions and their carryover effects on breeding success.
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Alumni
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Sarah Dier-McCombBSc honours in marine biology
Department of Biology (Dalhousie University) Sarah investigates the location of long-finned pilot whale behaviour off the coast of Cape Breton, Nova Scotia, Canada. Through R, ArcGIS, and GeoDa she is comparing the behaviour locations from 12 years of data to assess the consistency of feeding and resting locations along the coast. Sarah is co-supervised by Dr. Hal Whitehead.
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Joanna is studying the accuracy of laser photogrammetry by measuring dorsal-fin dimensions of long-finned pilot whales in Cape Breton, Nova Scotia. By attaching two parallel lasers to a camera, a scale is projected onto the photographed whale, and linkages may be made between dorsal base lengths and the sex of an individual. Pilot whales have interesting social structure, and she is also using photo analysis to investigate hypotheses about leaders within a cluster. Joanna is co-supervised by Dr. Hal Whitehead.
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Emily is modeling the spatial ecology of black-browed and grey-headed albatrosses during their non-breeding periods in the Southern Ocean, and linking individual variation in migratory behaviour to oceanographic conditions, physiological state, and sex. Emily is applying advanced state-space models to geolocation data. She is co-supervised by Dr. Glenn Crossin.
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Joana is studying the changes in the distribution of long-finned pilot whales off the western coast of Cape Breton Island, Nova Scotia. She uses ArcGIS to visually compare GPS data from pilot whale encounters in 2003 and 2004 to data collected in 2013 and 2014. The mean distance of pilot whale encounters to the nearest shore and to the harbour are compared for each year in order to assess whether environmental factors or whale watching pressures are involved in the observed changes in distribution. Joana is co-supervised by Dr. Hal Whitehead.
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