Publications by authors named "Heather Galindo"

COMPASS shares a decade of experience in helping scientists become effective leaders by navigating a path from outreach to meaningful engagement with journalists and policymakers.

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Article Synopsis
  • - Rising CO2 and climate change are causing significant changes in marine ecosystems, affecting factors like temperature, nutrient input, and ocean acidification, which in turn lead to biological shifts in populations and community structures.
  • - These changes are primarily driven by species' inability to adapt to new conditions, shifts in movement patterns, and altered interactions, especially impacting polar regions and tropical ecosystems like coral reefs.
  • - The cumulative effects can disrupt energy flow and biogeochemical cycles, ultimately affecting the overall functioning of marine ecosystems and the services they provide to humans.
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The discovery of genetic markers linked to physiological traits in wild populations is increasingly desired for ecological and evolutionary studies, as well as to inform management decisions. However, identifying such markers often requires a large investment of both time and money. Serendipitously, in a recent microsatellite survey, we discovered three out of 16 microsatellite loci that were correlated to the female sex in Pacific halibut (Hippoglossus stenolepis).

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Coupled biological and physical oceanographic models are powerful tools for studying connectivity among marine populations because they simulate the movement of larvae based on ocean currents and larval characteristics. However, while the models themselves have been parameterized and verified with physical empirical data, the simulated patterns of connectivity have rarely been compared to field observations. We demonstrate a framework for testing biological-physical oceanographic models by using them to generate simulated spatial genetic patterns through a simple population genetic model, and then testing these predictions with empirical genetic data.

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Population genetics is a powerful tool for measuring important larval connections between marine populations [1-4]. Similarly, oceanographic models based on environmental data can simulate particle movements in ocean currents and make quantitative estimates of larval connections between populations possible [5-9]. However, these two powerful approaches have remained disconnected because no general models currently provide a means of directly comparing dispersal predictions with empirical genetic data (except, see [10]).

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