Evidence map›Paper›PMID 41426533›Full record

ArticleZooKeys2025

Higher predicted climate-change vulnerability for spring-dwelling freshwater biota.

Mathias Kuemmerlen, Wolfram Graf, Johann Waringer, Simon Vitecek, Mladen Kučinić, Ana Previšić, Lujza Keresztes, Miklós Bálint, Steffen U Pauls

Abstract read
In one paragraph

Article in ZooKeys, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Mathias KuemmerlenDepartment of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystr. 12, D-63571 Gelnhausen, Germany Senckenberg Research Institute and Natural History Museum Frankfurt Gelnhausen Germany.ORCID https://orcid.org/0000-0003-1362-3701
Wolfram GrafInstitute of Hydrobiology and Aquatic Ecosystem Management, BOKU, University of Natural Resources and Life Sciences, Gregor Mendelstr. 33, 1180 Vienna, Austria BOKU, University of Natural Resources and Life Sciences Vienna Austria.ORCID https://orcid.org/0000-0001-6559-0644
Johann WaringerDepartment of Functional and Evolutionary Ecology, Division of Limnology, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria University of Vienna Vienna Austria.ORCID https://orcid.org/0000-0002-0114-1636
Simon VitecekDepartment of Functional and Evolutionary Ecology, Division of Limnology, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria University of Vienna Vienna Austria.ORCID https://orcid.org/0000-0002-7637-563X
Mladen KučinićDepartment of Biology, Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000 Zagreb, Croatia University of Zagreb Zagreb Croatia.ORCID https://orcid.org/0000-0003-2756-2305
Ana PrevišićDepartment of Biology, Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000 Zagreb, Croatia University of Zagreb Zagreb Croatia.ORCID https://orcid.org/0000-0002-0332-7522
Lujza KeresztesCenter for Systems Biology, Biodiversity and Bioresources, Hungarian Department of Biology and Ecology, Babeş-Bolyai University, Clinicilor 5-7, 400006 Cluj-Napoca, Romania Babeş-Bolyai University Cluj-Napoca Romania.ORCID https://orcid.org/0000-0002-4609-6496
Miklós BálintSenckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, D-60325 Frankfurt am Main, Germany Senckenberg Biodiversity and Climate Research Centre (BiK-F) Frankfurt am Main Germany.ORCID https://orcid.org/0000-0003-0499-8536
Steffen U PaulsSenckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, D-60325 Frankfurt am Main, Germany Senckenberg Biodiversity and Climate Research Centre (BiK-F) Frankfurt am Main Germany.ORCID https://orcid.org/0000-0002-6451-3425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental change threatens freshwater biodiversity through altered temperature and precipitation patterns. Available data is frequently insufficient to determine impacts at the species level leading to misinterpreted species' vulnerability. Conversely, phylogenetic relationships, current distributions and ecological traits of the caddisfly subfamily Drusinae are well known. Thus, species distribution models (SDMs) were set up for 47 Drusinae species to assess individual and trait-specific climate change (CC) vulnerability. Species were grouped by larval feeding guild, stream zonation preference and level of endemism. Models were calibrated with predictors describing climate, topography and geology at a spatial resolution of 1 km

Indexed as

Caddisflies (Trichoptera)climate changedistribution changeDrusinaeendemismrange shiftstrait evolution

Identifiers

PMID41426533
PMCPMC12712645

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.