Northern pike are an invasive species in southcentral Alaska and have caused the decline and extirpation of salmonids and other native fish populations across the region. Over the last decade, adaptive management of invasive pike populations has included population suppression, eradication, outreach, angler engagement, and research to mitigate damages from pike where feasible. Pike suppression efforts have been focused in open drainages of the northern and western Cook Inlet areas, and eradication efforts have been primarily focused on the Kenai Peninsula and the municipality of Anchorage. Between 2010 and 2020, almost 40,000 pike were removed from southcentral Alaska waters as a result of suppression programs, and pike have been successfully eradicated from over 20 lakes and creeks from the Kenai Peninsula and Anchorage, nearly completing total eradication of pike from known distributions in those areas. Northern pike control actions are tailored to the unique conditions of waters prioritized for their management, and all efforts support the goal of preventing further spread of this invasive aquatic apex predator to vulnerable waters.

Invasive species are a major threat to global biodiversity, yet also represent large‐scale unplanned ecological and evolutionary experiments to address fundamental questions in nature. Here we analyzed both native and invasive populations of predatory northern pike (Esox lucius) to characterize landscape genetic variation, determine the most likely origins of introduced populations, and investigate a presumably postglacial population from Southeast Alaska of unclear provenance. Using a set of 4329 SNPs from 351 individual Alaskan northern pike representing the most widespread geographic sampling to date, our results confirm low levels of genetic diversity in native populations (average 𝝅 of 3.18 × 10⁻⁴) and even less in invasive populations (average 𝝅 of 2.68 × 10⁻⁴) consistent with bottleneck effects. Our analyses indicate that invasive northern pike likely came from multiple introductions from different native Alaskan populations and subsequently dispersed from original introduction sites. At the broadest scale, invasive populations appear to have been founded from two distinct regions of Alaska, indicative of two independent introduction events. Genetic admixture resulting from introductions from multiple source populations may have mitigated the negative effects associated with genetic bottlenecks in this species with naturally low levels of genetic diversity. Genomic signatures strongly suggest an excess of rare, population‐specific alleles, pointing to a small number of founding individuals in both native and introduced populations consistent with a species' life history of limited dispersal and gene flow. Lastly, the results strongly suggest that a small isolated population of pike, located in Southeast Alaska, is native in origin rather than stemming from a contemporary introduction event. Although theory predicts that lack of genetic variation may limit colonization success of novel environments, we detected no evidence that a lack of standing variation limited the success of this genetically depauperate apex predator.

Rotenone is a pesticide commonly used to eradicate Northern Pike (Esox lucius), an invasive species, in Southcentral Alaska. The present work incorporates a field investigation of rotenone attenuation in eight lakes of the Kenai Peninsula, following a CFT Legumine® treatment in October 2018 and a laboratory simulation to determine persistence under light/dark and sterile/nonsterile conditions representative of Southcentral Alaskan winters. In the field, rotenone degraded within <60 days of application in all lakes, while rotenolone, the primary product of rotenone degradation, persisted for up to <280 days post-treatment at two locations. Prolonged rotenolone attenuation was most likely caused by short days and ice cover between October and April. This hypothesis was supported by a laboratory simulation which revealed photolysis as the dominant process driving the overall degradation of rotenone and that microbial degradation will significantly contribute in the absence of sunlight under simulated “winter” conditions of 4 °C. Degradation model fit comparisons (pseudo-first order, multi-parameter linear, and gamma) indicate the most accurate prediction occurred when modeling all eight lakes grouped together in a single dataset, combined and treated with pseudo-first order model kinetics, based on Akaike information criteria (AIC) scores.