Background: Sexual violence (SV) is a serious public health concern, and lesbian, gay, bisexual, transgender, queer and questioning (LGBTQ+) youth report higher rates than their heterosexual and cisgender peers. This qualitative study aimed to understand LGBTQ+ students' perspectives on how middle and high school environments can better prevent and address SV.
Methods: In partnership with a school-based LGBTQ+ support group in Washington State, we recruited 31 LGTBQ+ students ages 13-18 for virtual interviews (n = 24) and for providing text-based answers to interview questions (n = 7).
The Northwest Atlantic Ocean and Gulf of Mexico are among the fastest warming ocean regions, a trend that is expected to continue through this century with far-reaching implications for marine ecosystems. We examine the distribution of 12 highly migratory top predator species using predictive models and project expected habitat changes using downscaled climate models. Our models predict widespread losses of suitable habitat for most species, concurrent with substantial northward displacement of core habitats >500 km.
View Article and Find Full Text PDFSpecies distribution models (SDMs) are becoming an important tool for marine conservation and management. Yet while there is an increasing diversity and volume of marine biodiversity data for training SDMs, little practical guidance is available on how to leverage distinct data types to build robust models. We explored the effect of different data types on the fit, performance and predictive ability of SDMs by comparing models trained with four data types for a heavily exploited pelagic fish, the blue shark (Prionace glauca), in the Northwest Atlantic: two fishery dependent (conventional mark-recapture tags, fisheries observer records) and two fishery independent (satellite-linked electronic tags, pop-up archival tags).
View Article and Find Full Text PDF