Evidence map›Paper›PMID 40634331›Full record

ArticleScientific data2025

A species-level multi-trophic metaweb for Switzerland.

Merin Reji Chacko, Camille Albouy, Florian Altermatt, Joan Casanelles-Abella, Martin Brändle, Victor Boussange, Fadri Campell, Willem N Ellis, Fabian Fopp, Martin M Gossner and 9 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

19 authors.

Merin Reji ChackoLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. merin.rejichacko@gmail.com.ORCID 0000-0002-6069-4281
Camille AlbouyLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Florian AltermattEawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Dübendorf, Switzerland.ORCID 0000-0002-4831-6958
Joan Casanelles-AbellaBiodiversity and Conservation Biology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.ORCID 0000-0003-1924-9298
Martin BrändleDepartment of Animal Ecology, Faculty of Biology, Philipps-Universität Marburg, Marburg, Germany.
Victor BoussangeLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Fadri CampellLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Willem N EllisIndependent Researcher, Amsterdam, The Netherlands.
Fabian FoppLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.ORCID 0000-0003-0648-8484
Martin M GossnerInstitute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.ORCID 0000-0003-1516-6364
Hsi-Cheng HoInstitute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan.
Alain JossLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Pascal KipfLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Felix NeffForest Entomology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.ORCID 0000-0001-7266-2589
Andjeljko PetrovićFaculty of Biology, Institute of Zoology, University of Belgrade, Studentski trg 16, 11000, Belgrade, Serbia.
Vincent PriéSPYGEN, 73375, Le Bourget-du-Lac, France.
Željko TomanovićFaculty of Biology, Institute of Zoology, University of Belgrade, Studentski trg 16, 11000, Belgrade, Serbia.
Nik ZimmerliLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Loïc PellissierLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. loic.pellissier@usys.ethz.ch.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 31003A_173074
6 · The paper itself

Abstract

Understanding how species interact within ecological networks is essential for predicting the consequences of environmental change, from trophic cascades to broader changes in species distributions and ecosystem functioning across large spatial scales. To facilitate such explorations, we constructed trophiCH: a country-level trophic meta-food web (henceforth "metaweb") that includes vertebrates, invertebrates, and vascular plants within Switzerland, based on literature published between 1862 and 2023. Our comprehensive dataset catalogues 1,112,073 trophic interactions involving 23,151 species and 125 feeding guilds (e.g., fungivores). Thirty percent of species-level interactions were empirically documented. Additional species-level interactions were inferred by resolving coarser taxonomic records (e.g., inferring links from "species A feeds on genus B") based on habitat co-occurrences. While explorations of large-scale food webs have often relied on modelling approaches due to data gaps, this empirically based metaweb paves the way for data-driven studies of real-world food webs across space and time. By integrating the metaweb with local species assemblages knowledge, future studies can gain insights into broad patterns of food web structure across spatial scales.

Indexed as

Food ChainAnimalsEcosystemInvertebratesPlantsSwitzerlandVertebrates

Identifiers

PMID40634331
PMCPMC12241358

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.