
Megan McPhee
Professor
Fish and Fisheries Genetics
Fisheries Conservation
Fisheries Ecology
College of Fisheries and Ocean Sciences
17101 Point Lena Loop Rd
309 Lena Point bldg.
Juneau, AK 99801-8344
907-796-5464
mvmcphee@alaska.edu
Office Hours
Tuesday & Thursday
3:30–4:30 pm
309 Lena Point
* = student author; ** = post-doc
Reich*, AG, MV McPhee, CD Waters, SA May, MD Adkison. 2025. Phenotypic divergence between hatchery pink and coho salmon and their wild
counterparts. Canadian Journal of Fisheries and Aquatic Sciences 82:1-12. doi: 10.1139/cjfas-2024-0276
Wilson, LI,* MD Adkison, RD Brenner, EM Yasumiishi, MV McPhee. 2025. Spatial variation in age-specific growth of female Chinook salmon. Environmental
Biology of Fishes 108:875-895. doi: 10.1007/s10641-025-01697-5
McMahon, J*, SA May**, PS Rand, KB Gorman, MV McPhee, PAH Westley. 2025. Phenotypic sorting of pink salmon hatchery strays may alleviate adverse impacts
of reduced variation in fitness-associated traits. Ecology & Evolution 15:e70781.
doi: 10.1002/ece3.70781
Shi, Y**, CM Dick, K Karpan, D Baetscher, MJ Henderson, SA Sethi, MV McPhee, WA Larson. 2025. Towards absolute abundance for conservation application: estimating the number
of contributors via microhaplotype genotyping of mixed-DNA samples. Molecular Ecology
Resources 25:e13816. doi: 10.1111/1755-0998.13816
Somov, A, EV Farley, EM Yasumiishi, and MV McPhee. 2024. Comparison of juvenile Pacific salmon abundance, distribution, and body condition
between western and eastern Bering Sea using spatiotemporal models. Fisheries Research
278:107068. doi: 10.1016/j.fishres.2024.107086
Rosenbaum, SW*, SA May, KR Shedd, CJ Cunningham, RL Peterson, BW Elliot, and MV McPhee. 2024. Reliability of trans-generational genetic mark-recapture (tGMR) for enumerating
Pacific salmon. Evolutionary Applications 17:e13647. doi.org/10.1111/eva.13647
McPhee, MV, PD Barry**, C Habicht, SC Vulstek, JR Russell, WW Smoker, JE Joyce, and
AJ Gharrett. 2024. Hatchery supplementation provides a demographic boost but alters age composition
in sockeye salmon in Auke Lake, Southeast Alaska. Evolutionary Applications 17:e13640.
doi: 10.1111/eva.13640
Download entire publications list [PDF]
- evolutionary ecology
- population genetics
- management/conservation of salmonids
I am generally interested in the ecological and evolutionary processes responsible for genetic, life-history and morphological diversity in salmonids, as well as the consequences of this diversity for conservation and management of salmonid populations. Some of my recent research includes: the genetic basis for life-history differences between anadromous and resident steelhead/rainbow trout, the consequences of life history for genetic diversity and population structure in sockeye salmon, and rapid morphological divergence in postglacial and introduced fish populations.
- Determining the effects of hatchery supplementation on genetic diversity and fitness in a wild population of sockeye salmon (PSC)
- Assessing the ability to discriminate among Western Alaska chum salmon stocks using genetic markers (CIAP)
- Retrospective analysis of freshwater growth and recruitment in Yukon-Kuskokwim Chinook salmon (PCCRC/AKSSF)
- Growth and physiological status of juvenile pink and chum salmon in SE Alaska (AKSSF) and in the Chukchi and Northern Bering Sea (CIAP)
- Ecotypic diversity in Kuskokwim sockeye salmon (AYK Sustainable Salmon Initiative) 'Biocomplexity' has been shown to be an important component of stability in the Bristol Bay sockeye salmon fishery. The Kuskokwim River differs from Bristol Bay in that it is dominated by dynamic riverine environments and the river-type life history is common in its sockeye salmon populations. We are studying both river-type (Holitna River) and lake-type (Telaquana Lake) sockeye in the Kuskokwim in order to determine how genetic, morphologic, and life-history diversity is distributed within and among spawning populations in contrasting habitats. Results will inform the degree to which adult returns might be expected to fluctuate at both the local and regional scales. Co-PIs: Tom Quinn (UW) and Jack Stanford (UM)

