Search

Despite the long history of paralytic shellfish poisoning (PSP) events in Alaska, little is known about the seasonal distribution and abundance of the causative organism, Alexandrium, or the environmental factors that govern toxic bloom development. To address this issue, a five year study (2012–2017) was undertaken in Kachemak Bay and lower Cook Inlet Alaska to determine how the occurrence of Alexandrium catenella, the dominant PSP-causing Alexandrium species, was influenced by temperature, salinity, nutrient concentrations, and other environmental factors. Cell concentrations from 572 surface water samples were estimated using quantitative PCR. Monthly sampling revealed a seasonal pattern of A. catenella bloom development that was positively correlated with water temperature. Prevailing salinity conditions did not significantly affect abundance, nor was nutrient limitation a direct factor. Elevated cell concentrations were detected in 35 samples from Kachemak Bay (100-3050 cell eq. L−1) while a maximum abundance of 67 cell eq. L−1 was detected in samples from lower Cook Inlet sites. Monitoring data showed average water temperatures in Kachemak Bay increased by ∼2 °C over the course of the study and were accompanied by an increase in Alexandrium abundance. Based on these findings, 7–8 °C appears to represent a temperature threshold for significant bloom development in Kachemak Bay, with the greatest risk of shellfish toxicity occurring when temperatures exceed 10–12 °C. The role of temperature is further supported by time series data from the Alaska Coastal Current (station GAK1), which showed that summertime shellfish toxicity events in Kachemak Bay generally followed periods of anomalously high winter water temperatures. These data indicate monitoring changes in water temperatures may be used as an early warning signal for subsequent development of shellfish toxicity in Kachemak Bay.

Ocean acidification (OA) describes the progressive decrease in the pH of seawater and other cascading chemical changes resulting from oceanic uptake of atmospheric carbon. These changes can have important implications for marine ecosystems, creating risk for commercial industries, subsistence communities, cultural practices, and recreation. Characterizing the extent of acidification and predicting the ramifications for marine and freshwater resources and ecosystem services are critical to national and international climate mitigation discussions and to local communities that rely on these resources. Based on critical grassroots connections between scientists, stakeholders and decision makers, “Knowledge-to-Action” networks for ocean acidification issues have formed at local, regional and international scales to take action. Here, we review three examples of North American groups elevating the issue of ocean acidification at these three levels. They each focus on developing practicable, implementable steps to mitigate causes, to adapt to unavoidable change, and to build resilience to changing ocean conditions in the marine environment and coastal communities. While these first steps represent critical efforts in protecting ecosystems and economies from the risks posed by ocean acidification, some challenges remain. Sensitivity and risk to OA varies by region, species and ecosystems; priorities for action can vary between multiple and conflicting partners; evidence-based strategies for OA risk mitigation are still in the early stages; and gaps remain between scientific research and actionable decision-maker support products. However, the scaled networks profiled here have proven to be adept at identifying and addressing these barriers to action. In the future, it will be critical to expand funding for food web impact studies and development of decision support tools, and to maintain the connections between scientists and marine resource users to build resilience to ocean acidification impacts.

24 pages, 8 figures, 1 table, supplementary material https://doi.org/10.3389/fmars.2019.00250, Harmful algal blooms (HABs) produce local impacts in nearly all freshwater and marine systems. They are a problem that occurs globally requiring an integrated and coordinated scientific understanding, leading to regional responses and solutions. Given that these natural phenomena will never be completely eliminated, an improved scientific understanding of HAB dynamics coupled with monitoring and ocean observations, facilitates new prediction and prevention strategies. Regional efforts are underway worldwide to create state-of-the-art HAB monitoring and forecasting tools, vulnerability assessments, and observing networks. In the United States, these include Alaska, Pacific Northwest, California, Gulf of Mexico, Gulf of Maine, Great Lakes, and the United States Caribbean islands. This paper examines several regional programs in the United States, European Union, and Asia and concludes that there is no one-size-fits-all approach. At the same time, successful programs require strong coordination with stakeholders and institutional sustainability to maintain and reinforce them with new automating technologies, wherever possible, ensuring integration of modeling efforts with multiple regional to national programs. Recommendations for scaling up to a global observing system for HABs can be summarized as follows: (1) advance and improve cost-effective and sustainable HAB forecast systems that address the HAB-risk warning requirements of key end-users at global and regional levels; (2) design programs that leverage and expand regional HAB observing systems to evaluate emerging technologies for Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) in order to support interregional technology comparisons and regional networks of observing capabilities; (3) fill the essential need for sustained, preferably automated, near real-time information from nearshore and offshore sites situated in HAB transport pathways to provide improved, advanced HAB warnings; (4) merge ecological knowledge and models with existing Earth System Modeling Frameworks to enhance end-to-end capabilities in forecasting and scenario-building; (5) provide seasonal to decadal forecasts to allow governments to plan, adapt to a changing marine environment, and ensure coastal industries are supported and sustained in the years ahead; and (6) support implementation of the recent calls for action by the United Nations Decade 2010 Sustainable Development Goals (SDGs) to develop indicators that are relevant to an effective and global HAB early warning system

In autumn of 2013 an immense dinoflagellate bloom developed in Kachemak Bay, AK, USA. Much of the Bay was discolored a dark amber color and raised public concerns as small scale fish kills were reported in a few locations. Light microscopy revealed a monospecific bloom of gymnodinoid dinoflagellates that were previously unknown from the Bay. Gene sequencing of SSU rDNA from cells collected from the bloom confirmed the causative species to be Karenia mikimotoi. This represents the first report of a K. mikimotoi bloom in Alaska. After the bloom organism was confirmed, a K. mikimotoi species-specific qPCR assay was developed and used to assess K. mikimotoi abundances in DNA extracted from phytoplankton samples from Kachemak Bay and Lower Cook Inlet (LCI) obtained over a six-year period. The K. mikimotoi abundances were compared with corresponding time series of environmental variables (water temperature, salinity, water column stability, nutrients, precipitation and wind speed) to assess the factors contributing to the development of the bloom. The results showed early bloom development occurred in August when snow melt reduced salinities and increased water column stability during a period of calm winds. Peak bloom concentrations occurred in late September (107 cell eq. L-1) even as water temperatures were decreasing. The bloom gradually declined over the winter but persisted until April of 2014. Karenia mikimotoi cells were not detected two years prior or three years following the bloom, suggesting cells were introduced to Kachemak Bay at a time when conditions allowed K. mikimotoi to thrive.

During 2010–2012, three professional development workshops brought together K–12 educators and scientists conducting research in the geographic and ecological context of Alaska's three large marine ecosystems (Bering Sea/Aleutians, Gulf of Alaska, and Arctic Ocean). Educators successfully applied new scientific knowledge gained from their interactions with scientists through the collaborative development of lesson plans that were place-based and culturally responsive to Alaska Native cultures. Over the course of the three workshops, we refined a model for incorporating cultural responsiveness into workshop design, employed an innovative systemic traditional knowledge framework, and developed a rubric to evaluate the lesson plans in terms of cultural responsiveness. Key factors that increased the impact of a single professional development workshop on the ability of the K–12 educators to produce culturally responsive lesson plans included (1) participation of experienced teachers as mentors, (2) o...

"Livelihood systems that depend on mobile resources must constantly adapt to change. For people living in permanent settlements, environmental changes that affect the distribution of a migratory species may reduce the availability of a primary food source, with the potential to destabilize the regional social-ecological system. Food security for Arctic indigenous peoples harvesting barren ground caribou (Rangifer tarandus granti) depends on movement patterns of migratory herds. Quantitative assessments of physical, ecological, and social effects on caribou distribution have proven difficult because of the significant interannual variability in seasonal caribou movement patterns. We developed and evaluated a modeling approach for simulating the distribution of a migratory herd throughout its annual cycle over a multiyear period. Beginning with spatial and temporal scales developed in previous studies of the Porcupine Caribou Herd of Canada and Alaska, we used satellite collar locations to compute and analyze season-by-season probabilities of movement of animals between habitat zones under two alternative weather conditions for each season. We then built a set of transition matrices from these movement probabilities, and simulated the sequence of movements across the landscape as a Markov process driven by externally imposed seasonal weather states. Statistical tests showed that the predicted distributions of caribou were consistent with observed distributions, and significantly correlated with subsistence harvest levels for three user communities. Our approach could be applied to other caribou herds and could be adapted for simulating the distribution of other ungulates and species with similarly large interannual variability in the use of their range."

Gorokhovich, Y.; Leiserowitz, A., and Dugan, D., 2014. Integrating Coastal Vulnerability and Community-Based Subsistence Resource Mapping in Northwest Alaska. Subsistence resources are critical for indigenous communities in the Kotzebue Sound region of NW Alaska. Global sea-level rise (SLR) and coastal erosion are likely to create unfavorable and hazardous conditions for coastal and estuarine settlements. It is unclear how SLR and erosion might affect coastal subsistence resources because of highly complex ecological interactions. This study integrates physical, anthropological, and survey data to assess coastal vulnerability and to identify areas of concern for local and regional planning and environmental protection. This study analyzes and integrates historical and projected physical coastal changes within the Kotzebue Sound region with (1) a coastal vulnerability index (CVI); (2) community-based participatory GIS maps of community subsistence resources; and (3) representative surveys of local...