The diatom Pseudo-nitzchia produces a neurotoxin called domoic acid, which in high concentrations affects wildlife ranging from mussels and crabs to seabirds and sea lions, as well as humans. In humans, the effects of domoic acid poisoning can range from gastrointestinal distress to memory loss, and even death. Despite being studied in laboratories since the late 1980s, there is no consensus on the environmental conditions that lead to domoic acid events. These events are most frequent and impactful in eastern boundary current regions such as the California Current System, which is bordered by Washington, Oregon, and California. In Oregon alone, there have been six major domoic acid events: 1996, 1998-1999, 2001, 2002-2006, 2010, 2014-2015. McKibben et al. (2017) investigated the regulation of domoic acid at a climate scale to develop and test an applied risk model for the US West Coast” to read “McKibben et al. (2017) investigated the regulation of domoic acid at regional and decadal scales in order to develop and test an applied risk model for the impact of climate on the US West Coast. They used the PDO and ONI climate variability indices, averages of monthly and 3 month running means of SST anomaly values and variability to look at basin-scale ocean conditions. At a local scale, data were from zooplankton sampling every two to four weeks between 1996 to 2015 at hydrographic station offshore of Newport, OR. Additionally, the NOAA NCDC product “Daily Optimum Interpolation, Advanced Very High Resolution Radiometer Only, Version 2, Final+Preliminary SST” was used to obtain the monthly SST anomaly metric, based on combined in situ and satellite data.

(A) Warm and cool ocean regimes, (B) local SST anomaly, and (C and D) biological response. (A) PDO (red or blue vertical bars) and ONI (black line) indices; strong (S) to moderate (M) El Nino (+1) and La Nina (−1) events are labeled. (B) SST anomaly 20 nm off central OR. (C) The CSR anomaly 5 nm off central OR. (D) Monthly OR coastal maximum DA levels in razor clams (vertical bars); horizontal black line is the 20-ppm closure threshold. Black line in D shows the spring biological transition date (right y axis). At the top of the figure, black boxes indicate the duration of upwelling season each year; red vertical bars indicate the timing of annual DA maxima in relationship to upwelling. Gray shaded regions are warm regimes based on the PDO. Dashed vertical lines indicate onset of the six major DA events. The September 2014 arrival of the NE Pacific Warm Anomaly (colloquially termed “The Blob”) to the OR coastal region is labeled on B. “X” symbols along the x axes indicate that no data were available for that month (B–D).
Their findings show that these events have occurred when there is advection of warmer water masses onto the continental shelf from southern or offshore areas. When the warm phase of the Pacific Decadal Oscillation (PDO) and El Niño coincide, the effect is additive. In the warm regime years, there is a later spring biological transition date, weaker alongshore currents, elevated water temperatures, and plankton communities are dominated by subtropical rather than subarctic species. The authors also note relative differences between the prevalence and phenology of domoic acid events in OR, CA and WA, which warrants further study via regional-scale modeling. Overall, this research shows a clear and enhanced risk of toxicity in shellfish during warm phases of natural climate oscillations. If predictions of more extreme warming come to bear, this would potentially lead to increased DA event intensity and frequency in coastal zones around the globe. This will not only affect wildlife, but may cause significant closures of economically important fisheries (e.g., Dungeness crab, anchovy, mussel, and razor clam), which would impact local communities and native populations.
Authors:
Morgaine McKibben (Oregon State Univ., NOAA Northwest Fisheries Science Center)
William Peterson (NOAA Northwest Fisheries Science Center)
Michelle Wood (Univ. Oregon)
Vera L. Trainer (NOAA Northwest Fisheries Science Center)
Matthew Hunter (Oregon Dept. Fish & Wildlife)
Angelicque E. White (Oregon State Univ.)





Christiana Ade is a first-year PhD student at North Carolina State University in the Marine, Earth and Atmospheric Sciences Department. She researches wetlands and coastal environments using satellite remote sensing and field measurements. Her research includes water quality mapping, establishing new environmental indicators, and determining satellite resolution requirements for adequately monitoring wetlands.
Henry Houskeeper
Suhey Ortiz Rosa is a PhD student conducting research with Dr. Roy Armstrong in Bio-Optical Oceanography at the Department of Marine Sciences at the University of Puerto Rico- Mayagüez (UPRM). In 2005, she completed a B.S. in Coastal Marine Biology at the University of Puerto Rico- Humacao, and in 2010, a MS in Chemical Oceanography at UPRM. Suhey’s work focuses on the biogeochemistry of coastal waters and coral reefs, validating algorithms from satellite imagery of complex optical waters, remote sensing, and GIS. Previously, she worked on CDOM characterization with PARAFAC, mapping marine species distribution with the GAP-Analysis Project of Puerto Rico and later with watershed analysis of sedimentation processes on coral reefs.
Sara Rivero-Calle is a postdoctoral researcher at the Levine Lab in the University of Southern California interested in projects that involve large datasets, combining remote sensing and in situ data to answer large-scale ecological questions. She first learned about satellite remote sensing during her MS program at the University of Puerto Rico working on mesophotic reef sponge ecology using Autonomous Underwater Vehicles. She earned a PhD from Johns Hopkins University, where she used the Continuous Plankton Recorder survey to study long-term changes in North Atlantic phytoplankton communities. Currently, Sara is conducting postdoctoral research on fine-scale variability and patchiness, combining remote sensing, float, and HPLC data with numerical models.
Sarah Schlunegger is a PhD Student in the Program of Atmospheric and Oceanic Sciences, advised by Prof. Jorge Sarmiento. Sarah uses Earth System Models to predict the timing, sequence and inter-dependence of emerging anthropogenic signals in the ocean, with a focus on the ocean’s acquisition of anthropogenic carbon and heat. The ocean provides a climate service by absorbing the atmosphere’s excess carbon and heat but at a cost, namely acidification and warming, which deteriorate marine habitats. Sarah’s primary research goal is to identify when and where changes in these heat/carbon sinks and their resulting impacts will be detectable in the ocean.





