Evidence map›Paper›PMID 35994657›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Regime shifts, trends, and variability of lake productivity at a global scale.

Luis J Gilarranz, Anita Narwani, Daniel Odermatt, Rosi Siber, Vasilis Dakos

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Revealing unseen dynamical regimes of ecosystems from population time-series data.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. 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
  7. Article
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Luis J GilarranzDepartment of Aquatic Ecology, EAWAG (Swiss Federal Institute of Aquatic Science and Technology), 8600 Dübendorf, ZH, Switzerland.ORCID 0000-0002-3493-1335
Anita NarwaniDepartment of Aquatic Ecology, EAWAG (Swiss Federal Institute of Aquatic Science and Technology), 8600 Dübendorf, ZH, Switzerland.
Daniel OdermattDepartment of Surface Waters - Research and Management, EAWAG (Swiss Federal Institute of Aquatic Science and Technology), 8600 Dübendorf, ZH, Switzerland.ORCID 0000-0001-8449-0593
Rosi SiberDepartment of Systems Analysis, Integrated Assessment, and Modelling, EAWAG (Swiss Federal Institute of Aquatic Science and Technology), 8600 Dübendorf, ZH, Switzerland.
Vasilis DakosInstitute des Sciences de l'Evolution, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, 34095, France.ORCID 0000-0001-8862-718X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lakes are often described as sentinels of global change. Phenomena like lake eutrophication, algal blooms, or reorganization in community composition belong to the most studied ecosystem regime shifts. However, although regime shifts have been well documented in several lakes, a global assessment of the prevalence of regime shifts is still missing, and, more in general, of the factors altering stability in lake status, is missing. Here, we provide a first global assessment of regime shifts and stability in the productivity of 1,015 lakes worldwide using trophic state index (TSI) time series derived from satellite imagery. We find that 12.8% of the lakes studied show regime shifts whose signatures are compatible with tipping points, while the number of detected regime shifts from low to high TSI has increased over time. Although our results suggest an overall stable picture for global lake dynamics, the limited instability signatures do not mean that lakes are insensitive to global change. Modeling the interaction between lake climatic, geophysical, and socioeconomic features and their stability properties, we find that the probability of a lake experiencing a tipping point increases with human population density in its catchment, while it decreases as the gross domestic product of that population increases. Our results show how quantifying lake productivity dynamics at a global scale highlights socioeconomic inequalities in conserving natural environments.

Indexed as

EcosystemEfficiencyEutrophicationInternationalityLakesGross Domestic ProductHumansPopulation DensitySatellite ImagerySocioeconomic FactorsTime Factorsecological stabilityglobal changeregime shiftremote sensingtrophic state index

Identifiers

PMID35994657
PMCPMC9436327

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Registered trials

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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.