Evidence map›Paper›PMID 40304048›Full record

ArticleEcology letters2025

Simple, Universal Rules Predict Trophic Interaction Strengths.

Kyle E Coblentz, Mark Novak, John P DeLong

Abstract read
In one paragraph

Article in Ecology letters, 2025. 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

3 authors.

Kyle E CoblentzSchool of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0002-0069-8491
Mark NovakDepartment of Integrative Biology, Oregon State University, Corvallis, Oregon, USA.ORCID https://orcid.org/0000-0002-7881-4253
John P DeLongSchool of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0003-0558-8213

Funding

Division of Environmental Biology DEB-2129758Division of Environmental Biology ORCC-2307464
6 · The paper itself

Abstract

Many drivers of ecological systems exhibit regular scaling relationships, yet the mechanisms explaining these relationships are often unknown. Trophic interaction strengths are no exception, exhibiting scaling relationships with predator and prey traits that lack evolutionary explanations. We propose two rules to explain the scaling of trophic interaction strengths through the relationship between a predator's feeding rate and its prey's density-the so-called predator functional response. First, functional responses allow predators to meet their energetic demands when prey are rare. Second, functional responses approach their maxima near the highest prey densities predators experience. We show that equations derived from these rules predict functional response parameters across over 2100 functional response experiments and make additional predictions such as their allometric scaling. The two rules thereby offer a potential ultimate explanation for the determinants of trophic interaction strengths, revealing ecologically realised constraints to the complex, adaptive nature of functional response evolution.

Indexed as

Food ChainModels, BiologicalPredatory BehaviorAnimalsBiological EvolutionPopulation Densityallometric scalingconsumer–resource interactionsevolutionfeeding ratesmacroecology

Identifiers

PMID40304048
PMCPMC12042070

What OpenQuestion holds

Textmetadata
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.