Some of the longest and most comprehensive marine ecosystem monitoring programs were established in the Gulf of Alaska following the environmental disaster of the Exxon Valdez oil spill over 30 years ago. These monitoring programs have been successful in assessing recovery from oil spill impacts, and their continuation decades later has now provided an unparalleled assessment of ecosystem responses to another newly emerging global threat, marine heatwaves. The 2014–2016 northeast Pacific marine heatwave (PMH) in the Gulf of Alaska was the longest lasting heatwave globally over the past decade, with some cooling, but also continued warm conditions through 2019. Our analysis of 187 time series from primary production to commercial fisheries and nearshore intertidal to offshore oceanic domains demonstrate abrupt changes across trophic levels, with many responses persisting up to at least 5 years after the onset of the heatwave. Furthermore, our suite of metrics showed novel community-level groupings relative to at least a decade prior to the heatwave. Given anticipated increases in marine heatwaves under current climate projections, it remains uncertain when or if the Gulf of Alaska ecosystem will return to a pre-PMH state.

Bering Sea sea ice during winter 2017–2018 was the lowest ever recorded. Ecosystem effects of low ice have been observed in the southeastern Bering Sea, but never in the northern Bering Sea. Observations in both systems included weakened water column stratification, delayed spring bloom, and low abundances of large crustacean zooplankton. Summer Cold Pool presence was extremely limited. Young walleye pollock production and condition were similar to prior warm years, though catches of other pelagic forage fishes were low. Summer seabird die‐offs were observed in the northern Bering Sea, and to lesser extent in the southeastern Bering Sea, and reproductive success was poor at monitored colonies. Selected bottom‐up responses to lack of sea ice in the north were similar to those in the south, potentially providing environmental indicators to project ecosystem effects in a lesser studied system. Results offer a potential glimpse of the broader Bering Sea pelagic ecosystem under future low‐ice projections.

2019.Development of social-ecological conceptual models as the basis for an integrated ecosystem assessment framework in Southeast Alaska. Ecology and Society 24(3):30. https://doi.ABSTRACT. Integrated ecosystem assessment (IEA) is a framework that organizes and summarizes science to aid in the transition from a traditional single sector toward a holistic management approach known as ecosystem-based management (EBM). An essential step of the IEA framework is the development of conceptual models. These models allow the integration of intrinsically linked social, environmental, and biological components of marine ecosystems that is pivotal to address unsolved questions in fisheries management. We constructed social-ecological conceptual models of relevant commercial and subsistence fisheries for Sitka, a fisheries-based community in Southeast Alaska, by collecting and synthesizing available scientific information, local ecological knowledge (LEK), and qualitative information. We conducted focus groups with key informants in Sitka who had in-depth knowledge of their community's interactions with local fisheries and the structure and function of the surrounding ecosystem. The resulting conceptual models coproduced by scientists and Sitka stakeholders, illustrate the main biological and environmental factors driving the abundance of Pacific halibut (Hippoglossus stenolepis) and Pacific herring (Clupea pallasii) in Southeast Alaska. Furthermore, these coproduced models elucidate how the interaction between Sitka residents and these fisheries affect community well-being. Our models will serve as the basis to assess EBM objectives for Sitka as part of an IEA place-based framework. This study also highlights the importance of integrating LEK into science and potentially into the broader Alaska fisheries management structure.