Background

My research background encompasses diverse questions and methodological approaches across a wide range of ecological systems. Early field research focused on the physiological and behavioural respiratory ecology of East African cichlids (with Lauren Chapman), distributions of damselfly larvae living in neotropical bromeliad plants (with Diane Srivastava), and nutritional ecology of boreal forest shrubs (with Charley Krebs).

My doctoral research was at the University of British Columbia in the Fisheries Centre (now the Institute for the Oceans and Fisheries) and the Department of Zoology. My PhD thesis focused on understanding where and when juvenile salmon were dying during their migration from southern BC rivers to the open ocean. In collaboration with the Pacific Ocean Shelf Tracking Project (POST), I used acoustic telemetry to quantify fish movements and then used mark-recapture models to estimate survival rates of populations. This research comprised comparative and experimental approaches, single-stock and multi-stock perspectives, and novel methodological developments. My co-supervisors were Carl Walters and Villy ChristensenI also worked closely with David Welch, head scientist for POST, and fellow PhD student Erin Rechisky.

My postdoctoral research is at the University of Washington in the School of Aquatic and Fishery Sciences. My research with Ray Hilborn focuses on identifying management strategies and tactics that lead to successful conservation outcomes for marine populations and positive socioeconomic outcomes for the fisheries they support. Much of this work relies on estimates of stock status of fish and invertebrate populations from around the world, assembled in the RAM Legacy Stock Assessment Database. This builds on earlier postdoctoral work with Tim Essington examining the ecological effects of catch share management. Both projects involve data synthesis and meta-analytic approaches to assess the current status of fish and invertebrate stocks relative to fisheries management targets.

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