“It takes a village to finish (marine) science these days” Paraphrased from Curtis Huttenhower (the Human Microbiome project) The rapidity and complexity of climate change and its potential effects on ocean biota are challenging how ocean scientists conduct research. One way in which we can begin to better tackle these challenges is to conduct community-wide scientific studies. This study provides physiological datasets fundamental to understanding functional responses of phytoplankton growth rates to temperature. While physiological experiments are not new, our experiments were conducted in many laboratories using agreed upon protocols and 25 strains of eukaryotic and prokaryotic phytoplankton isolated across a wide range of marine environments from polar to tropical, and from nearshore waters to the open ocean. This community-wide approach provides both comprehensive and internally consistent datasets produced over considerably shorter time scales than conventional individual and often uncoordinated lab efforts. Such datasets can be used to parameterise global ocean model projections of environmental change and to provide initial insights into the magnitude of regional biogeographic change in ocean biota in the coming decades. Here, we compare our datasets with a compilation of literature data on phytoplankton growth responses to temperature. A comparison with prior published data suggests that the optimal temperatures of individual species and, to a lesser degree, thermal niches were similar across studies. However, a comparison of the maximum growth rate across studies revealed significant departures between this and previously collected datasets, which may be due to differences in the cultured isolates, temporal changes in the clonal isolates in cultures, and/or differences in culture conditions. Such methodological differences mean that using particular trait measurements from the prior literature might introduce unknown errors and bias into modelling projections. Using our community-wide approach we can reduce such protocol-driven variability in culture studies, and can begin to address more complex issues such as the effect of multiple environmental drivers on ocean biota.

An ecologically and economically disruptive harmful algal bloom (HAB) affected much of the northeast Pacific margin in 2015, during a prolonged oceanic warm anomaly. Caused by diatoms of the genus Pseudo‐nitzschia, this HAB produced the highest particulate concentrations of the biotoxin domoic acid (DA) ever recorded in Monterey Bay, California. Bloom inception followed strong upwelling during the spring transition, which introduced nutrients and eliminated the warm anomaly locally. Subsequently, moderate and intermittent upwelling created favorable conditions for growth and accumulation of HAB biomass, which was dominated by a highly toxigenic species, P. australis. High cellular DA concentrations were associated with available nitrogen for DA synthesis coincident with silicate exhaustion. This nutrient influence resulted from two factors: (1) disproportionate depletion of silicate in upwelling source waters during the warm anomaly, the most severe depletion observed in 24 years, and (2) silicate uptake by the dense diatom bloom.

In the last decade, the known biogeography of nitrogen fixation in the ocean has been expanded to colder and nitrogen‐rich coastal environments. The symbiotic nitrogen‐fixing cyanobacteria group A (UCYN‐A) has been revealed as one of the most abundant and widespread nitrogen‐fixers, and includes several sublineages that live associated with genetically distinct but closely related prymnesiophyte hosts. The UCYN‐A1 sublineage is associated with an open ocean picoplanktonic prymnesiophyte, whereas UCYN‐A2 is associated with the coastal nanoplanktonic coccolithophore Braarudosphaera bigelowii , suggesting that different sublineages may be adapted to different environments. Here, we study the diversity of nifH genes present at the Santa Cruz Municipal Wharf in the Monterey Bay (MB), California, and report for the first time the presence of multiple UCYN‐A sublineages, unexpectedly dominated by the UCYN‐A2 sublineage. Sequence and quantitative PCR data over an 8‐year time‐series (2011–2018) showed a shift toward increasing UCYN‐A2 abundances after 2013, and a marked seasonality for this sublineage which was present during summer‐fall months, coinciding with the upwelling‐relaxation period in the MB. Increased abundances corresponded to positive temperature anomalies in MB, and we discuss the possibility of a benthic life stage of the associated coccolithophore host to explain the seasonal pattern. The dominance of UCYN‐A2 in coastal waters of the MB underscores the need to further explore the habitat preference of the different sublineages in order to provide additional support for the hypothesis that UCYN‐A1 and UCYN‐A2 sublineages are different ecotypes.

The accuracy and precision of ion sensitive field effect transistor (ISFET) pH sensors have been well documented, but primarily by ocean chemistry specialists employing the technology at single locations. Here we examine their performance in a network context through comparison to discrete measurements of pH, using different configurations of the Honeywell DuraFET pH sensor deployed in six coastal settings by operators with a range of experience. Experience of the operator had the largest effect on performance. The average difference between discrete and ISFET pH was 0.005 pH units, but ranged from-0.030 to 0.083 among operators, with more experienced operators within ± 0.02 pH units of the discrete measurement. In addition, experienced operators achieved a narrower range of variance in difference between discrete bottle measurements and ISFET sensor readings compared to novice operators and novice operators had a higher proportion of data failing quality control screening. There were no statistically significant differences in data uncertainty associated with sensor manufacturer or deployment environment (pier-mounted, flowthrough system, and buoy-mounted). The variation we observed among operators highlights the necessity of best practices and training when instruments are to be used in a network where comparison across data streams is desired. However, while opportunities remain for improving the performance of the ISFET sensors when deployed by less experienced operators, the uncertainty associated with their deployment and validation was several-fold less than the observed natural temporal variability in pH, demonstrating the utility of these sensors in tracking local changes in acidification.

Wind-driven upwelling variability and local topography cause an upwelling shadow in the northern region of Monterey Bay, California, to persist seasonally. The present study applied partial least squares regression to a 7-yr time series collected within this retentive feature for the purpose of evaluating the environmental controls on total autotrophic phytoplankton (as chlorophyll a) and picoplankton (Synechococcus spp., picoeukaryotes, and heterotrophic bacteria) abundance. A bloom threshold was defined and applied to all biological groups to evaluate seasonal and inter-annual abundance patterns. Microbial and phytoplankton abundances in the upwelling shadow were positively associated with warmer, nutrient-depleted water. Consistent with these results, two-thirds of phytoplankton blooms occurred in October−November, when surface temperatures were warm and ammonium concentrations were greatest. These blooms were predominantly composed of dinoflagellates, 64% of which were known toxin-producing species. Although the overall relationship of phytoplankton to river discharge rates was negative, phytoplankton blooms in 2006, 2007, 2010, and 2012 followed early rainfall events, which flush nitrogen from the surrounding farms into the bay. Despite the fact that the regional measure of upwelling, the Bakun upwelling index, is seasonally low in the autumn, pulses of cold, nutrientreplete water were advected into the upwelling shadow, additionally supporting late-year blooms. Physical and chemical processes occurring over multiple time scales controlled bloom dynamics in the upwelling shadow of Monterey Bay.