Evidence map›Paper›PMID 41606114›Full record

ArticleNature ecology & evolution2026

Diverging selection on body size in specialist terrestrial mammals.

Shan Huang, Andrew Morozov, Alison Eyres, Xiang-Yi Li Richter

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shan HuangSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK. s.huang.7@bham.ac.uk.ORCID http://orcid.org/0000-0002-5055-1308
Andrew MorozovSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-6935-3563
Alison EyresDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7866-7559
Xiang-Yi Li RichterInstitute of Ecology and Evolution, University of Bern, Bern, Switzerland. xiangyi.li-richter@uni-konstanz.de.ORCID http://orcid.org/0000-0001-8662-0865

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DFG HU 2748/1-1Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 211549
6 · The paper itself

Abstract

Body size is a fundamental organismal trait, affecting a wide variety of physiological and ecological functions. Such relationships are often interactive and nonlinear, forming complex feedbacks. In terrestrial mammals, larger bodies are associated with higher mobility in trade-off with larger absolute resource demand. Here we propose a hypothesis, with support from empirical patterns and a mathematical model, that this trade-off interacts with diet specialization to drive diverging selection on body size because specialists are more efficient resource users and have lower mortality risks at extreme sizes. Our analysis of a global terrestrial mammal species dataset found significantly lower proportions of specialists at intermediate sizes, but higher proportions towards extreme sizes; this pattern also applies to species assemblages in zoographic realms. Our mathematical model of coexistence between equal-sized specialists and generalists shows that specialists of extreme sizes have higher equilibrium frequencies and likelihood of coexistence with generalists at quasi-stability. The combined results support dietary specialization as a key factor for shaping body size diversity. Our work highlights the value of connecting ecology and evolution in understanding the diversity of key traits like body size, and calls for further investigations on the related history of resource distribution and lineage diversification.

Indexed as

Biological EvolutionBody SizeMammalsSelection, GeneticAnimalsDietModels, Biological

Identifiers

PMID41606114
PMCPMC12890589

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Registered trials

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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.