Evidence map›Paper›PMID 41860095›Full record

ArticleEcology letters2026

Food Web Similarity Increases With Productivity Similarity at a Continental Scale.

Ann E Finneran, César A Uribe, Kai M Hung, Chia Hsieh, Matthew A Wuensch, Matthew A McCary, Lydia Beaudrot

Abstract read
In one paragraph

Article in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ann E FinneranDepartment of Biosciences and Program in Ecology & Evolutionary Biology, Rice University, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-0705-711X
César A UribeDepartment of Electrical and Computer Engineering, Rice University, Houston, Texas, USA.
Kai M HungInstitute of Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Chia HsiehEcology, Evolution & Behavior Program, Michigan State University, East Lansing, Michigan, USA.
Matthew A WuenschEcology, Evolution & Behavior Program, Michigan State University, East Lansing, Michigan, USA.
Matthew A McCaryDepartment of Biosciences and Program in Ecology & Evolutionary Biology, Rice University, Houston, Texas, USA.
Lydia BeaudrotEcology, Evolution & Behavior Program, Michigan State University, East Lansing, Michigan, USA.

Funding

Division of Computing and Communication Foundations 2443064Division of Environmental Biology 2213568
6 · The paper itself

Abstract

Primary productivity and trophic interactions are fundamentally linked. However, it remains largely unknown how food web structure varies along primary productivity gradients at continental scales or how the influence of primary productivity on food webs varies within regions. Furthermore, anthropogenic pressure threatens the integrity of food webs globally with potentially predictable food web disassembly. Here, we test how plant productivity and anthropogenic fragmentation predict the pairwise similarity of food web networks within and among regions for 127 protected areas spanning deserts to rainforests. We measured food web structural equivalence independent of species identities and accounted for inherent scaling of food web structure with richness and connectance. Food webs were significantly more similar at sites with similar plant productivity at the continental scale and within woodland savannas, and in tropical rainforests with similar anthropogenic fragmentation. These empirical results inform how food web structure mediates biodiversity and ecosystem function.

Indexed as

Food ChainAnimalsBiodiversityModels, BiologicalAfricaecological networksfood websfragmentationmammalsmetawebprimary productivity

Identifiers

PMID41860095
PMCPMC13003585

What OpenQuestion holds

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LicenceCC BY-NC
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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.