Much smaller than record 2015 bloom but still concerning; new sampling technology to be tried
NOAA and its research partners predict that western Lake Erie will experience a less severe bloom than the record-setting one experienced last year during the harmful algal bloom season. The outlook reflects less discharge from the Maumee River and a return to an average nutrient runoff into the lake.
The 2016 bloom is expected to measure 5.5 on the severity index, but could range anywhere between 3.0 and 7.0. The forecast is similar to conditions last seen from 2008 to 2010, although the bloom may be as small as that seen in the relatively mild year of 2004.
The severity index is based on a bloom’s biomass--the amount of its harmful algae. An index above 5.0 indicates blooms of concern. The extreme bloom of 2011 was a 10. Last year’s was 10.5, the greatest on record.
This year’s bloom is expected to first appear in late July and increase in August in the far western basin of Lake Erie. The location and effects will depend on prevailing winds. During calm winds, some areas may experience scums that contain substantial concentrations of algal toxins.
“This year we’ve added a Maumee River flow forecast model that increases our confidence in the seasonal outlook and may allow us to produce a specific harmful algal bloom forecast even earlier in the season,” said Russell Callender, Ph.D., assistant NOAA administrator for the National Ocean Service.
The seasonal outlook uses models that translate spring nutrient loading into predicted algal blooms. After three years with wet springs, this spring has had more typical rainfall, leading to more normal discharge from the Maumee River. As a result there is less phosphorus entering Lake Erie and fewer nutrients to fuel a bloom.
“With a return to average spring discharge, and much lower river flow in June than in the recent years, the western basin should look better. However, the phosphorus inputs to the lake are still high enough to support bloom development,” said Richard Stumpf, Ph.D., NOAA’s National Centers for Coastal Ocean Science’s lead for the Lake Erie bloom forecast.
“The need to reduce phosphorus and other nutrient from fertilizer, manure, and sewage remains,” said Chris Winslow, Ph.D., interim director of the Ohio Sea Grant College Program. "This year’s forecast not only highlights NOAA’s forecast, but it will also focus attention on current efforts to assess bloom impacts on human health, to educate water treatment plant operators, to inform and implement landscape best management practices, and to determine the best way to track our progress toward a 40 percent reduction in phosphorous loading, the target set by Annex IV of the Great Lakes Water Quality Agreement."
The seasonal outlook models use nutrient load data collected by Heidelberg University’s National Center for Water Quality Research offsite link and Maumee River discharge models from NOAA’s Ohio River Forecast Center. The models were developed by scientists at NOAA’s National Centers for Coastal Ocean Science, the University of Michigan offsite link, and LimnoTech offsite link.
NOAA will provide timely information via twice-weekly bulletins for western Lake Erie that can be received by subscription. Details on the forecasted movement of the bloom and its location and intensity in the water column can be found via NOAA’s experimental tracker.
Field observations on the bloom and nutrient loads are collected by NOAA’s Great Lakes Environmental Research Laboratory (GLERL) and NOAA’s Cooperative Institute for Limnology and Ecosystems Research offsite link (CILER) at the University of Michigan, Ohio State University’s Sea Grant Program offsite link and Stone Laboratory offsite link, Heidelberg University, University of Toledo offsite link, Ohio EPA offsite link, and LimnoTech and made available for monitoring and model improvements.
In September 2016, NOAA's GLERL, CILER, and the Monterey Bay Aquarium Research Institute offsite link will deploy an Environmental Sample Processor (ESP) in Lake Erie for the first time. The ESP “lab-in-a-can,” will autonomously collect water samples and analyze them for algal toxins to provide drinking water managers with data on harmful-algal toxicity in near real-time before the water reaches municipal water intakes. The deployment will mark the first use of the ESP technology in any freshwater system.
“The Environmental Sample Processor will enable us to more closely track changes in the toxicity of the blooms with one or two analyzed water tests each day to augment the current system of someone sampling twice a week from a boat and then taking those samples to be analyzed in a lab,” said Tim Davis, Ph.D., GLERL research ecologist. “Our goal is to get more rapid detection of sudden changes in toxicity to improve the timeliness of NOAA’s harmful algal bloom forecasts and better protect communities.
The Lake Erie forecast is part of a NOAA ecological forecasting initiative that aims to deliver accurate, relevant, timely and reliable ecological forecasts directly to coastal resource managers and the public. NOAA also provides, or is developing, HAB and hypoxia forecasts for the Gulf of Maine, Chesapeake Bay, the Gulf of Mexico and the Pacific Northwest.
Funding to support the NOAA forecast was provided by NOAA’s National Centers for Coastal Ocean Science, the EPA-administered Great Lakes Restoration Initiative, the Erb Family Foundation, and the University of Michigan’s Graham Sustainability Institute. The research programs supporting this work are authorized under the Harmful Algal Bloom and Hypoxia Research and Control Act (HABHRCA 2016).
The National Centers for Coastal Ocean Science delivers ecosystem science solutions for NOAA’s National Ocean Service and its partners, bringing research, scientific information and tools to help balance the nation’s ecological, social and economic goals. Visit our website for more about NCCOS research.
Ben Sherman, NOAA, email@example.com, 202-253-5256
Keeley Belva, NOAA, firstname.lastname@example.org, 301-643-6463
Jill Jentes, Ohio Sea Grant, email@example.com, 614-292-8949
Jim Erickson, University of Michigan, firstname.lastname@example.org, 734-647-1842
Angie Giles, Heidelberg University, email@example.com, 419-448-2168