Evidence map›Paper›PMID 31594495›Full record

ArticleBiology letters2019

Quantitative genetics of body size evolution on islands: an individual-based simulation approach.

José Alexandre F Diniz-Filho, Lucas Jardim, Thiago F Rangel, Phillip B Holden, Neil R Edwards, Joaquín Hortal, Ana M C Santos, Pasquale Raia

Open access · bronzeAbstract read
In one paragraph

Article in Biology letters, 2019. 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
4.1field-weighted citation impact, top 7% of its field
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, 15 citations in OpenAlex.

  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

8 authors at 4 institutions in 5 countries.

José Alexandre F Diniz-FilhoDepartamento de Ecologia, ICB, Universidade Federal de Goiás (UFG), Goiania, Brazil.
Lucas JardimINCT EECBio, DTI program, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK.
Thiago F RangelDepartamento de Ecologia, ICB, Universidade Federal de Goiás (UFG), Goiania, Brazil.
Phillip B HoldenEnvironment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK.
Neil R EdwardsEnvironment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK.
Joaquín HortalDepartamento de Ecologia, ICB, Universidade Federal de Goiás (UFG), Goiania, Brazil.
Ana M C SantosGLOCEE-Global Change Ecology and Evolution Group, Departamento de Ciencias de la Vida, Universidad de Alcalá, 28805 Alcalá de Henares, Madrid, Spain.
Pasquale RaiaDepartment DiSTAR, University of Naples Federico II, Via Cintia 21, 20126 Napoli, Italy.
The Open University · GBUniversidade Federal de Goiás · BRUniversity of Lisbon · PTUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the island rule, small-bodied vertebrates will tend to evolve larger body size on islands, whereas the opposite happens to large-bodied species. This controversial pattern has been studied at the macroecological and biogeographical scales, but new developments in quantitative evolutionary genetics now allow studying the island rule from a mechanistic perspective. Here, we develop a simulation approach based on an individual-based model to model body size change on islands as a progressive adaptation to a moving optimum, determined by density-dependent population dynamics. We applied the model to evaluate body size differentiation in the pigmy extinct hominin

Indexed as

HominidaeAnimalsBiological EvolutionBody SizeFossilsIndonesiaIslandsMammalsadaptationbody sizedwarfingHomoisland rule

Identifiers

PMID31594495
PMCPMC6832192
OpenAlexW2979899226

What OpenQuestion holds

Textmetadata
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.