Evidence map›Paper›PMID 39993195›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

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

Patricia A Soranno, Patrick J Hanly, Katherine E Webster, Tyler Wagner, Andrew McDonald, Arnab Shuvo, Erin M Schliep, Kaitlin L Reinl, Ian M McCullough, Pang-Ning Tan and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. A continental view of climate effects on lakes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Abrupt changes in algal biomass of thousands of US lakes are related to climate and are more likely in low-disturbance watersheds.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Patricia A Soranno *Department of Integrative Biology, Michigan State University, East Lansing, MI 48864.ORCID 0000-0003-1668-9271
Patrick J Hanly *Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48864.ORCID 0000-0001-9435-9572
Katherine E WebsterDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48864.ORCID 0000-0002-6009-0146
Tyler WagnerUnited States Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, PA 16802.ORCID 0000-0003-1726-016X
Andrew McDonaldDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI 48864.ORCID 0000-0001-9994-2476
Arnab ShuvoHasler Laboratory of Limnology, University of Wisconsin-Madison, Madison, WI 53706.
Erin M SchliepDepartment of Statistics, North Carolina State University, Raleigh, NC 27607.ORCID 0000-0002-2803-3467
Kaitlin L ReinlLake Superior National Estuarine Research Reserve, University of Wisconsin-Madison Division of Extension, Superior, WI 54880.ORCID 0000-0003-3912-6797
Ian M McCulloughDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48864.ORCID 0000-0002-6832-674X
Pang-Ning TanDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI 48864.
Noah R LottigTrout Lake Station, University of Wisconsin-Madison, Boulder Junction, WI 54512.
Kendra Spence CheruvelilDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48864.ORCID 0000-0003-1880-2880

Funding

DOC | NOAA | Office for Coastal Management (OCM) NA18NOS4200151DOI | U.S. Geological Survey (USGS) G21AC10038NSF (NSF) 1638539NSF (NSF) 1638550NSF (NSF) 1638554NSF (NSF) 1638679USDA | National Institute of Food and Agriculture (NIFA) 176820
6 · The paper itself

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.

Indexed as

BiomassClimate ChangeLakesChlorophyllEcosystemEutrophicationHumansSeasonsTemperatureUnited StatesChlorophyllabrupt ecological changeclimate changelake algal biomasstemporal ecologytime series modeling

Identifiers

PMID39993195
PMCPMC11892623

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.