4 results match your criteria: "National Oceanic and Atmospheric Administration Southwest Fisheries Science Center[Affiliation]"

The resiliency of populations and species to environmental change is dependent on the maintenance of genetic diversity, and as such, quantifying diversity is central to combating ongoing widespread reductions in biodiversity. With the advent of next-generation sequencing, several methods now exist for resolving fine-scale population structure, but the comparative performance of these methods for genetic assignment has rarely been tested. Here, we evaluate the performance of sequenced microsatellites and a single nucleotide polymorphism (SNP) array to resolve fine-scale population structure in a critically important salmonid in north eastern Canada, Arctic Charr ().

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Article Synopsis
  • Bycatch, the unintended capture of nontarget species in fisheries, poses significant challenges for both ecological health and economic viability of marine capture fisheries.
  • Understanding the habitat needs of various marine species and the dynamic nature of their environments is crucial for reducing bycatch and enhancing sustainability.
  • The study employs a Lagrangian analysis on ocean model data to reveal that bycatch risk for marine megafauna increases near specific oceanic features, suggesting that real-time monitoring of these areas can improve fisheries management and conservation efforts.
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parallelnewhybrid: an R package for the parallelization of hybrid detection using newhybrids.

Mol Ecol Resour

January 2017

Fisheries and Oceans Canada, Salmonids Section, 80 East White Hills Road, St. John's, Newfoundland and Labrador, Canada, A1C 5X1.

Hybridization among populations and species is a central theme in many areas of biology, and the study of hybridization has direct applicability to testing hypotheses about evolution, speciation and genetic recombination, as well as having conservation, legal and regulatory implications. Yet, despite being a topic of considerable interest, the identification of hybrid individuals, and quantification of the (un)certainty surrounding the identifications, remains difficult. Unlike other programs that exist to identify hybrids based on genotypic information, newhybrids is able to assign individuals to specific hybrid classes (e.

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