Abrupt changes in algal biomass of thousands of US lakes are related to climate and are more likely in low-disturbance watersheds

P Patricia A. Soranno (Department of Integrative Biology, Michigan State University) P Patrick J. Hanly (Department of Fisheries and Wildlife, Michigan State University) K Katherine E. Webster (Department of Fisheries and Wildlife, Michigan State University) T Tyler Wagner (United States Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University) A Andrew McDonald (Department of Computer Science and Engineering, Michigan State University) A Arnab Shuvo (Hasler Laboratory of Limnology, University of Wisconsin-Madison) E Erin M. Schliep (Department of Statistics, North Carolina State University) K Kaitlin L. Reinl (Lake Superior National Estuarine Research Reserve, University of Wisconsin-Madison Division of Extension) I Ian M. McCullough (Department of Fisheries and Wildlife, Michigan State University) P Pang-Ning Tan (Department of Computer Science and Engineering, Michigan State University) N Noah R. Lottig (Trout Lake Station, University of Wisconsin-Madison) K Kendra Spence Cheruvelil (Department of Fisheries and Wildlife, Michigan State University)

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

Volume / Issue Vol. 122, Issue 9
Published March 04, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (12)

P

Patricia A. Soranno

Department of Integrative Biology, Michigan State University

P

Patrick J. Hanly

Department of Fisheries and Wildlife, Michigan State University

K

Katherine E. Webster

Department of Fisheries and Wildlife, Michigan State University

T

Tyler Wagner

United States Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University

A

Andrew McDonald

Department of Computer Science and Engineering, Michigan State University

A

Arnab Shuvo

Hasler Laboratory of Limnology, University of Wisconsin-Madison

E

Erin M. Schliep

Department of Statistics, North Carolina State University

K

Kaitlin L. Reinl

Lake Superior National Estuarine Research Reserve, University of Wisconsin-Madison Division of Extension

I

Ian M. McCullough

Department of Fisheries and Wildlife, Michigan State University

P

Pang-Ning Tan

Department of Computer Science and Engineering, Michigan State University

N

Noah R. Lottig

Trout Lake Station, University of Wisconsin-Madison

K

Kendra Spence Cheruvelil

Department of Fisheries and Wildlife, Michigan State University