Wednesday, April 3, 2013

Record-breaking 2011 Lake Erie algae bloom may be sign of things to come

Apr. 1, 2013 ? The largest harmful algae bloom in Lake Erie's recorded history was likely caused by the confluence of changing farming practices and weather conditions that are expected to become more common in the future due to climate change.

Rather than an isolated, one-time occurrence, Lake Erie's monumental 2011 algae bloom was more likely a harbinger of things to come, according to University of Michigan researchers and colleagues from eight other institutions.

The interdisciplinary team explored factors that may have contributed to the event and analyzed the likelihood of future massive blooms in the lake.

"Intense spring rainstorms were a major contributing factor, and such storms are part of a long-term trend for this region that is projected to get worse in the future due to climate change," said aquatic ecologist Donald Scavia, director of U-M's Graham Sustainability Institute. "On top of that we have agricultural practices that provide the key nutrients that fuel large-scale blooms."

A paper summarizing the team's findings is scheduled for online publication April 1 in the Proceedings of the National Academy of Sciences.

The first author of the paper is former U-M researcher Anna Michalak, now at the Carnegie Institution for Science. Eighteen U-M co-authors from various departments and schools contributed to the study, which looked at land use, agricultural practices, precipitation, temperature, wind, lake circulation and surface runoff.

"This event was caused by a complex combination of factors, and I think this paper really puts all the pieces together in a very clear and systematic way," said U-M atmospheric scientist Allison Steiner, one of the co-authors. "We tried to think about this problem in a much more cross-disciplinary way than I think other people have thought about it before."

The researchers found that a series of intense spring rainstorms and runoff events resulted in record-breaking levels of phosphorus, a nutrient in crop fertilizers that also fuels rampant algae growth, washing into western Lake Erie.

That set the stage for an algae bloom that covered about 2,000 square miles by the time it peaked in early October 2011. That's more than three times larger than any previously observed Lake Erie algae bloom, including blooms that occurred in the 1960s and 1970s, when the lake was famously declared dead.

The 2011 spring storms included one that dumped 2 inches of rain over Ohio's Maumee River basin in 24 hours on May 26 and 6.8 inches total for the month of May 2011 -- more than 20 percent above the long-term monthly average. The Maumee is a primary tributary to western Lake Erie, and it drains an agricultural watershed where corn, soybeans and wheat are grown.

In their study, the researchers used 12 computerized climate models to determine if rainstorms like the May 2011 events are more likely to occur in the future. The models, which incorporate the anticipated effects of human-caused climate change due to the buildup of heat-trapping greenhouse gases, showed that the frequency of spring rainstorms that drop more than 1.2 inches is likely to double in this region by the end of the century.

"The models do predict an increase in extreme springtime precipitation events, and that's driven by an increase in greenhouse gases," said Steiner, an associate professor in the Department of Atmospheric, Oceanic and Space Sciences.

Once the 2011 Lake Erie bloom formed, unusually warm water temperatures and calm winds created ideal conditions to promote summer algae growth. "All of these factors are consistent with expected future conditions," the 29 authors of the PNAS paper wrote.

An algae bloom is a rapid buildup of algae in a body of water, and harmful blooms are those that damage other organisms -- including humans -- through the production of toxins or by other means. Algae blooms can foul harbors, clog boat motors, reduce fish populations and sometimes lead to the formation of low-oxygen "dead zones" where most aquatic organisms cannot survive.

The 2011 Lake Erie bloom was composed almost entirely of toxic blue-green Microcystis algae. Concentrations of mycrocystin, a liver toxin produced by the algae, peaked at about 224 times World Health Organization guidelines, according to the researchers.

In addition to meteorological conditions, other factors contributed to the 2011 Lake Erie algae bloom. Chief among them is the widespread adoption, since the mid-1990s, of no-till farming and other agricultural practices that have increased the availability of a type of phosphorus, known as dissolved reactive phosphorus or DRP, that promotes algae growth.

In no-till farming, crops are planted without plowing by inserting seeds into small holes. The technique reduces erosion but leaves high levels of phosphorus-bearing fertilizer in the upper surface soil, where heavy rainstorms can wash it away. Trends toward autumn fertilizer application and surface broadcasting of fertilizers also create conditions for enhanced phosphorus runoff.

Unless there's a significant shift away from these practices, runoff from farmland in the Maumee River watershed and other Western Basin watersheds will likely continue to provide the nutrients needed to trigger massive Lake Erie algae blooms.

In addition, the current emphasis on producing corn for ethanol production, as well as a trend in the Midwest toward declining acreage reserved for conservation purposes, is likely to exacerbate the problem, said Michael Moore, a professor of environmental economics at U-M's School of Natural Resources and Environment and one of the paper's co-authors.

"Corn is the crop on which phosphate-based fertilizer is most heavily applied," Moore said. "So the intensification of corn production is a problem, and part of the solution would be to rethink this emphasis on corn production for biofuels."

In addition to Michalak, Steiner, Moore and Scavia, authors of the PNAS paper are Eric Anderson, Dmitry Beletsky, Steven Boland, Nathan Bosch, Thomas Bridgeman, Justin Chaffin, Kyunghwa Cho, Rem Confesor, Irem Dalo?lu, Joseph DePinto, Mary Anne Evans, Gary Fahnenstiel, Lingli He, Jeff Ho, Liza Jenkins, Thomas Johengen, Kevin Kuo, Elizabeth LaPorte, Xiaojian Liu, Michael McWilliams, Derek Posselt, R. Peter Richards, Ed Verhamme, David Wright and Melissa Zagorski.

In addition to the Department of Atmospheric, Oceanic and Space Sciences, the School of Natural Resources and Environment, and the Graham Sustainability Institute, U-M units that participated in the research are the Cooperative Institute for Limnology and Ecosystems Research, the Department of Civil and Environmental Engineering, the Ford School of Public Policy, Michigan Sea Grant, and the Department of Economics.

The research was supported by grants from the National Science Foundation, the National Oceanic and Atmospheric Administration and the Lake Erie Protection Fund.

More information about NSF Grant No. 1039043, "Extreme events impacts on water quality in the Great Lakes: Prediction and management of nutrient loading in a changing climate," is available at http://www.miseagrant.umich.edu/nsfclimate.

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The above story is reprinted from materials provided by University of Michigan.

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Journal Reference:

  1. Anna M. Michalak, Eric J. Anderson, Dmitry Beletsky, Steven Boland, Nathan S. Bosch, Thomas B. Bridgeman, Justin D. Chaffin, Kyunghwa Cho, Rem Confesor, Irem Dalo?lu, Joseph V. DePinto, Mary Anne Evans, Gary L. Fahnenstiel, Lingli He, Jeff C. Ho, Liza Jenkins, Thomas H. Johengen, Kevin C. Kuo, Elizabeth LaPorte, Xiaojian Liu, Michael R. McWilliams, Michael R. Moore, Derek J. Posselt, R. Peter Richards, Donald Scavia, Allison L. Steiner, Ed Verhamme, David M. Wright, and Melissa A. Zagorski. Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions. Proceedings of the National Academy of Sciences, 2013; DOI: 10.1073/pnas.1216006110

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Source: http://feeds.sciencedaily.com/~r/sciencedaily/~3/-xrnzCyVqds/130401151028.htm

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