@article {606,
	title = {The potential role of anthropogenically derived nitrogen in the growth of harmful algae in California, USA},
	journal = {Harmful Algae},
	volume = {8},
	number = {1},
	year = {2008},
	note = {Sp. Iss. SI384RRTimes Cited:7Cited References Count:54},
	month = {Dec},
	pages = {103-110},
	abstract = {Cultural eutrophication is frequently invoked as one factor in the global increase in harmful algal blooms, but is difficult to definitively. prove due to the myriad of factors influencing coastal phytoplankton bloom development. To assess whether eutrophication could be a factor in the development of harmful algal blooms in California (USA), we review the ecophysiological potential for urea uptake by Pseudo-nitzschia australis (Bacillariophyceae), Heterosigma akashiwo (Raphidophyceae), and Lingulodinium polyedrum (Dinophyceae), all of which have been found at bloom concentrations and/or exhibited noxious effects in recent years in California coastal waters. We include new measurements from a large (Chlorophyll a > 500 mg m(-3)) red tide event dominated by Akashiwo sanguinea (Dinophyceae) in Monterey Bay, CA during September 2006. All of these phytoplankton are capable of using nitrate, ammonium, and urea, although their preference for these nitrogenous substrates varies. Using published data and recent coastal time series measurements conducted in Monterey Bay and San Francisco Bay, CA, we show that urea, presumably from coastal eutrophication, was present in California waters at measurable concentrations during past harmful algal bloom events. Based on these observations, we suggest that urea uptake could potentially sustain these harmful algae, and that urea, which is seldom measured as part of coastal monitoring programs, may be associated with these harmful algal events in California. (C) 2008 Elsevier B.V. All rights reserved.},
	keywords = {ammonium, Eutrophication, heterosigma-akashiwo, laboratory cultures, marine-phytoplankton, nitrate, nitrate uptake, nitrogen uptake kinetics, phytoplankton blooms, Pseudo-nitzschia, santa-barbara channel, southern-california, uptake kinetics, urea},
	isbn = {1568-9883},
	url = {<Go to ISI>://000261762400013},
	author = {Kudela, R. M. and Lane, J. Q. and Cochlan, W. P.}
}
@article {596,
	title = {Development of a logistic regression model for the prediction of toxigenic Pseudo-nitzschia blooms in Monterey Bay, California},
	journal = {Marine Ecology-Progress Series},
	volume = {383},
	year = {2009},
	note = {455KATimes Cited:0Cited References Count:69},
	pages = {37-51},
	abstract = {Blooms of the diatom genus Pseudo-nitzschia have been recognized as a public health issue in California since 1991 when domoic acid, the neurotoxin produced by toxigenic species of Pseudo-nitzschia, was first detected in local shellfish. Although these blooms are recurring and recognized hazards, the factors driving bloom proliferation remain poorly understood. The lack of long-term field studies and/or deficiencies in the scope of environmental data included within them hinders the development of robust forecasting tools. For this study, we successfully developed predictive logistic models of toxigenic Pseudo-nitzschia blooms in Monterey Bay, California, from a multi-project dataset representing 8.3 yr of sampling effort. Models were developed for year-round (annual model) or seasonal use (spring and fall-winter models). The consideration of seasonality was significant: chlorophyll a (chl a) and silicic acid were predictors in all models, but period-specific inclusions of temperature, upwelling index, river discharge, and/or nitrate provided significant model refinement. Predictive power for {\textquoteright}unknown{\textquoteright} (future) bloom cases was demonstrated at >= 75\% for all models, out-performing a chl a anomaly model, and performing comparably to, or better than, previously described statistical models for Pseudo-nitzschia blooms or toxicity. The models presented here are the first to have been developed from long-term (>1.5 yr) monitoring efforts, and the first to have been developed for bloom prediction of toxigenic Pseudo-nitzschia species. The descriptive capacity of our models places historical and recent observations into greater ecological context, which could help to resolve historical alternation between the implication of freshwater discharge and upwelling processes in bloom dynamics.},
	keywords = {Bacillariophyceae, diatom pseudonitzschia-australis, domoic acid, domoic acid production, environmental-conditions, gulf-of-mexico, harmful algal bloom, harmful algal blooms, logistic regression, phytoplankton monitoring, predictive model, Pseudo-nitzschia, santa-barbara channel, sea lions, seasonal fluctuations, zalophus-californianus},
	isbn = {0171-8630},
	url = {<Go to ISI>://000266756800004},
	author = {Lane, J. Q. and Raimondi, P. T. and Kudela, R. M.}
}
