Published April 16, 2013 | Version v1

Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions

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ABSTRACT

In 2011, Lake Erie experienced the largest harmful algal bloom in its recorded history, with a peak intensity over three times greater than any previously observed bloom. Here we show that long-term trends in agricultural practices are consistent with increasing phosphorus loading to the western basin of the lake, and that these trends, coupled with meteorological conditions in spring 2011, produced record-breaking nutrient loads. An extended period of weak lake circulation then led to abnormally long residence times that incubated the bloom, and warm and quiescent conditions after bloom onset allowed algae to remain near the top of the water column and prevented flushing of nutrients from the system. We further find that all of these factors are consistent with expected future conditions. If a scientifically guided management plan to mitigate these impacts is not implemented, we can therefore expect this bloom to be a harbinger of future blooms in Lake Erie.

Notes

The authors thank Raisa Beletsky, Greg Lang, and David Schwab, who provided modeling support and Todd Marsee for assistance with graphic design. We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for the Climate Model Intercomparison Project (CMIP), and we thank the climate modeling groups (listed in Table S3 of this paper) for producing and making available their model output. This material is based upon work supported by the National Science Foundation (NSF) under Grants 1039043 and 1313897. Additional support was provided by NSF Grant 0927643 (to D.B.) and the National Oceanic and Atmospheric Administration Center for Sponsored Coastal Ocean Research Grant NA07OAR432000 (to D.B., N.S.B., R.P.R., and D.S.). Support was provided by Lake Erie Protection Fund SG 406-2011 (to J.D.C. and T.B.B.). For CMIP, the US Department of Energy's Program for Climate Model Diagnosis and Intercomparison provided coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. This paper is Ecofore Lake Erie Contribution Number 12-009 and Great Lakes Environmental Research Laboratory Contribution Number 1646, and Lake Erie Center Contribution Number 2013-09.

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