Abrupt changes in algal biomass of thousands of US lakes are related to climate and are more likely in low-disturbance watersheds
Abstract
Climate change is predicted to intensify lake algal blooms globally and result in regime shifts. However, observed increases in algal biomass do not consistently correlate with air temperature or precipitation, and evidence is lacking for a causal effect of climate or the nonlinear dynamics needed to demonstrate regime shifts. We modeled the causal effects of climate on annual lake chlorophyll (a measure of algal biomass) over 34 y for 24,452 lakes across broad ecoclimatic zones of the United States and evaluated the potential for regime shifts. We found that algal biomass was causally related to climate in 34% of lakes. In these cases, 71% exhibited abrupt but mostly temporary shifts as opposed to persistent changes, 13% had the potential for regime shifts. Climate was causally related to algal biomass in lakes experiencing all levels of human disturbance, but with different likelihood. Climate causality was most likely to be observed in lakes with minimal human disturbance and cooler summer temperatures that have increased over the 34 y studied. Climate causality was variable in lakes with low to moderate human disturbance, and least likely in lakes with high human disturbance, which may mask climate causality. Our results explain some of the previously observed heterogeneous climate responses of lake algal biomass globally and they can be used to predict future climate effects on lakes.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (12)
Patricia A. Soranno
Department of Integrative Biology, Michigan State University
Patrick J. Hanly
Department of Fisheries and Wildlife, Michigan State University
Katherine E. Webster
Department of Fisheries and Wildlife, Michigan State University
Tyler Wagner
United States Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University
Andrew McDonald
Department of Computer Science and Engineering, Michigan State University
Arnab Shuvo
Hasler Laboratory of Limnology, University of Wisconsin-Madison
Erin M. Schliep
Department of Statistics, North Carolina State University
Kaitlin L. Reinl
Lake Superior National Estuarine Research Reserve, University of Wisconsin-Madison Division of Extension
Ian M. McCullough
Department of Fisheries and Wildlife, Michigan State University
Pang-Ning Tan
Department of Computer Science and Engineering, Michigan State University
Noah R. Lottig
Trout Lake Station, University of Wisconsin-Madison
Kendra Spence Cheruvelil
Department of Fisheries and Wildlife, Michigan State University