Elizabeth G. Mandeville
Elizabeth G. Mandeville
Department of Integrative Biology, University of Guelph
Verified email at - Homepage
Cited by
Cited by
Machine learning to classify animal species in camera trap images: Applications in ecology
MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC VerCauteren, ...
Methods in Ecology and Evolution 10 (4), 585-590, 2019
Analysis of population genomic data from hybrid zones
Z Gompert, EG Mandeville, CA Buerkle
Annual Review of Ecology, Evolution, and Systematics 48, 207-229, 2017
Highly variable reproductive isolation among pairs of Catostomus species
EG Mandeville, TL Parchman, DB McDonald, CA Buerkle
Molecular ecology 24 (8), 1856-1872, 2015
Inconsistent reproductive isolation revealed by interactions between Catostomus fish species
EG Mandeville, TL Parchman, KG Thompson, RI Compton, KR Gelwicks, ...
Evolution letters 1 (5), 255-268, 2017
Population connectivity and genetic structure of burbot (Lota lota) populations in the Wind River Basin, Wyoming
ZE Underwood, EG Mandeville, AW Walters
Hydrobiologia 765 (1), 329-342, 2016
Model‐based genotype and ancestry estimation for potential hybrids with mixed‐ploidy
V Shastry, PE Adams, D Lindtke, EG Mandeville, TL Parchman, ...
Molecular ecology resources 21 (5), 1434-1451, 2021
Variable hybridization outcomes in trout are predicted by historical fish stocking and environmental context
EG Mandeville, AW Walters, BJ Nordberg, KH Higgins, JC Burckhardt, ...
Molecular Ecology 28 (16), 3738-3755, 2019
Contemporary trait change in a classic ecological experiment: Rapid decrease in alewife gill‐raker spacing following introduction to an inland lake
EP Palkovacs, EG Mandeville, DM Post
Freshwater Biology 59 (9), 1897-1901, 2014
Speciation, species persistence and the goals of studying genomic barriers to gene flow
CE Wagner, EG Mandeville
Journal of Evolutionary Biology 30 (8), 1512-1515, 2017
Machine learning to classify animal species in camera trap images: Applications in ecology. Methods Ecol. Evol. 10, 585–590
MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC Vercauteren, ...
Historical data provide important context for understanding declines in cutthroat trout
BJ Nordberg, EG Mandeville, AW Walters, JC Burckhardt, CE Wagner
North American Journal of Fisheries Management 41 (3), 809-819, 2021
Machine learning to classify animal species in camera trap images: applications in ecology. Methods Ecol Evol 10 (4): 585–590
MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC Vercauteren, ...
Combining genetic, isotopic, and field data to better describe the influence of dams and diversions on burbot movement in the Wind River drainage, Wyoming
Z Hooley‐Underwood, EG Mandeville, P Gerrity, J Deromedi, K Johnson, ...
Transactions of the American Fisheries Society 147 (3), 606-620, 2018
Investigating the morphological and genetic divergence of arctic char (Salvelinus alpinus) populations in lakes of arctic Alaska
SL Klobucar, JA Rick, EG Mandeville, CE Wagner, P Budy
Ecology and evolution 11 (7), 3040-3057, 2021
Comparison of burbot populations across adjacent native and introduced ranges
AW Walters, EG Madenville, WC Saunders, PC Gerrity, JA Skorupski, ...
Aquatic Invasion 12 (2), 251, 2017
Hybridization decreases native cutthroat trout reproductive fitness
WC Rosenthal, JM Fennell, EG Mandeville, JC Burckhardt, AW Walters, ...
Molecular Ecology 31 (16), 4224-4241, 2022
Limited evidence of a genetic basis for sex determination in the common creek chub, Semotilus atromaculatus
AV Meuser, CB Pyne, EG Mandeville
Journal of Evolutionary Biology, 2022
Identification of sex-determining loci in hybridizing Catostomus fish species
CB Pyne, SE McFarlane, EG Mandeville
bioRxiv, 2022
The genetic basis of sex determination in Catostomus fishes
C Pyne, E Mandeville
CCFFR/SCL 2021, 2021
Ecological outcomes of hybridization vary extensively in Catostomus fishes
EG Mandeville, RO Hall, CA Buerkle
bioRxiv, 2021
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