Evidence map›Paper›PMID 37038592›Full record

ArticleNature climate change2023

Disruption of ecological networks in lakes by climate change and nutrient fluctuations.

Ewa Merz, Erik Saberski, Luis J Gilarranz, Peter D F Isles, George Sugihara, Christine Berger, Francesco Pomati

Abstract read
In one paragraph

Article in Nature climate change, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  11. Inferring coexistence likelihood in changing environments from ecological time series.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. 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
  13. Article
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  16. Predicting potential suitable habitat ofFrontiers in plant science · 2025
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  20. Ecological associations distribution modelling of marine plankton at a global scale.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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

7 authors.

Ewa MerzDepartment of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.ORCID 0000-0001-8699-9414
Erik SaberskiScripps Institution of Oceanography, University of California San Diego, La Jolla, CA USA.
Luis J GilarranzDepartment of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.ORCID 0000-0002-3493-1335
Peter D F IslesVermont Department of Environmental Conservation, Montpelier, VT USA.ORCID 0000-0003-4446-6788
George SugiharaScripps Institution of Oceanography, University of California San Diego, La Jolla, CA USA.
Christine BergerStadt Zuerich, Wasserversorgung, Qualitaetsueberwachung, Zuerich, Switzerland.
Francesco PomatiDepartment of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.ORCID 0000-0002-9746-3735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change interacts with local processes to threaten biodiversity by disrupting the complex network of ecological interactions. While changes in network interactions drastically affect ecosystems, how ecological networks respond to climate change, in particular warming and nutrient supply fluctuations, is largely unknown. Here, using an equation-free modelling approach on monthly plankton community data in ten Swiss lakes, we show that the number and strength of plankton community interactions fluctuate and respond nonlinearly to water temperature and phosphorus. While lakes show system-specific responses, warming generally reduces network interactions, particularly under high phosphate levels. This network reorganization shifts trophic control of food webs, leading to consumers being controlled by resources. Small grazers and cyanobacteria emerge as sensitive indicators of changes in plankton networks. By exposing the outcomes of a complex interplay between environmental drivers, our results provide tools for studying and advancing our understanding of how climate change impacts entire ecological communities.

Indexed as

Climate-change ecologyEcological networksFood websFreshwater ecology

Identifiers

PMID37038592
PMCPMC10079529

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.