Les N. Harris

This study investigates how Arctic char adjust their metabolism seasonally to conserve energy in winter and grow in summer, finding that food deprivation and cold temperatures significantly reduce resting energy expenditure.

The paper introduces local corrections to kernel density estimation to reduce spillover bias in home range estimation and demonstrates their effectiveness through simulations and a case study.

This study uses whole-genome sequencing of Arctic Char to analyze demographic history, finding mito-nuclear discordance and recombination impacts on introgression in admixed populations.

This paper estimates survival probabilities of Arctic char using Bayesian hierarchical models incorporating acoustic telemetry and environmental/biological data, finding that sea ice and Fulton's condition factor influence survival.

The paper shows that unbalanced sex ratios and sex-linked markers can cause false genetic differentiation signals in population studies, highlighting the need for sex information in genomic analyses.