Evidence map›Paper›PMID 41193462›Full record

ArticleNature communications2025

Shifting dominant periods in extreme climate impacts under global warming.

Karim Zantout, Juraj Balkovic, Maik Billing, Christian Folberth, Simon N Gosling, Tobias Hank, Stijn Hantson, Toshichika Iizumi, Akihiko Ito, Jonas Jägermeyr and 18 more

Abstract read
In one paragraph

Article in Nature communications, 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
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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

28 authors.

Karim ZantoutPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany. karim.zantout@pik-potsdam.de.ORCID http://orcid.org/0000-0002-1357-1721
Juraj BalkovicBiodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria.ORCID http://orcid.org/0000-0003-2955-4931
Maik BillingPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.
Christian FolberthBiodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria.ORCID http://orcid.org/0000-0002-6738-5238
Simon N GoslingSchool of Geography, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0001-5973-6862
Tobias HankDepartment of Geography, Ludwig-Maximilians-Universität, Munich, Germany.ORCID http://orcid.org/0000-0001-7491-0291
Stijn HantsonFacultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Toshichika IizumiInstitute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan.ORCID http://orcid.org/0000-0002-0611-4637
Akihiko ItoGraduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-5265-0791
Jonas JägermeyrPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0002-8368-0018
Atul K JainDepartment of Climate, Meteorology and Atmospheric Sciences (CLiMAS), University of Illinois, Urbana-Champaign, Urbana, IL, USA.ORCID http://orcid.org/0000-0002-4051-3228
Nikolay KhabarovAdvancing Systems Analysis Program, International Institute for Applied Systems Analysis, Laxenburg, Austria.ORCID http://orcid.org/0000-0001-5372-4668
Sian Kou-GiesbrechtSchool of Resource and Environmental Management, Simon Fraser University, British Columbia, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-4086-0561
Fang LiInternational Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-3686-2257
Mengxue LiState Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing, China.ORCID http://orcid.org/0000-0003-4957-7612
Tzu-Shun LinNSF National Center for Atmospheric Research, Boulder, BC, USA.ORCID http://orcid.org/0000-0002-5741-8585
Wenfeng LiuState Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing, China.ORCID http://orcid.org/0000-0002-8699-3677
Christoph MüllerPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0002-9491-3550
Masashi OkadaNational Institute for Environmental Studies, Tsukuba, Japan.ORCID http://orcid.org/0000-0002-5111-0483
Sebastian OstbergPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0002-2368-7015
Kedar OttaNational Institute for Environmental Studies, Tsukuba, Japan.ORCID http://orcid.org/0000-0002-2540-9879
Sam RabinNSF National Center for Atmospheric Research, Boulder, BC, USA.
Christopher P O ReyerPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0003-1067-1492
Clemens ScheerKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany.ORCID http://orcid.org/0000-0001-5396-2076
Julia M SchneiderDepartment of Geography, Ludwig-Maximilians-Universität, Munich, Germany.ORCID http://orcid.org/0000-0001-9588-3157
Florian ZabelDepartment of Environmental Sciences, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-2923-4412
Katja FrielerPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0003-4869-3013
Jacob SchewePotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.ORCID http://orcid.org/0000-0001-9455-4159

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) Grant 869395
6 · The paper itself

Abstract

Spatio-temporal patterns of extreme climate events have been extensively studied, yet two questions remain underexplored: Do such events occur regularly, and how do regularity patterns change under global warming? We address these questions by investigating dominant periods in crop failure, heatwave, and wildfire data. Here, we show that under pre-industrial conditions dominant periods emerge in 28% of cropland exposed to crop failure and 10% of wildfire-affected areas, likely related to climatic oscillations such as the El Niño-Southern Oscillation, while heatwaves occur irregularly. The number of dominant periods increases by 2-13% during the transition from the pre-industrial era to the anthropocene. In the anthropocene, the occurrence of extreme events shifts towards monotonic growth, replacing previous natural regularity patterns. Linearly de-trended projections reveal an additional shift towards smaller dominant periods due to climate change. These shifts in regularity are crucial for adaptation planning, and our method offers an additional approach for studying extreme events.

Identifiers

PMID41193462
PMCPMC12589625

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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.