Evidence map›Paper›PMID 32760527›Full record

ArticleEcology and evolution2020

Shifting spaces: Which disparity or dissimilarity measurement best summarize occupancy in multidimensional spaces?

Thomas Guillerme, Mark N Puttick, Ariel E Marcy, Vera Weisbecker

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  16. Fossilization can mislead analyses of phenotypic disparity.Proceedings. Biological sciences · 2023
    Article
  17. Article
  18. Multiple modes of inference reveal less phylogenetic signal in marsupial basicranial shape compared with the rest of the cranium.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  19. Article
  20. Evolution of fungal phenotypic disparity.Nature ecology & evolution · 2022
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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.

Thomas GuillermeSchool of Biological Sciences University of Queensland St. Lucia QLD Australia.ORCID https://orcid.org/0000-0003-4325-1275
Mark N PuttickMilner Centre for Evolution University of Bath Bath UK.ORCID https://orcid.org/0000-0002-1011-3442
Ariel E MarcySchool of Biological Sciences University of Queensland St. Lucia QLD Australia.ORCID https://orcid.org/0000-0001-8034-1048
Vera WeisbeckerSchool of Biological Sciences University of Queensland St. Lucia QLD Australia.ORCID https://orcid.org/0000-0003-2370-4046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidimensional analysis of traits are now common in ecology and evolution and are based on trait spaces in which each dimension summarizes the observed trait combination (a morphospace or an ecospace). Observations of interest will typically occupy a subset of this space, and researchers will calculate one or more measures to quantify how organisms inhabit that space. In macroevolution and ecology, these measures called disparity or dissimilarity metrics are generalized as space occupancy measures. Researchers use these measures to investigate how space occupancy changes through time, in relation to other groups of organisms, or in response to global environmental changes. However, the mathematical and biological meaning of most space occupancy measures is vague with the majority of widely used measures lacking formal description. Here, we propose a broad classification of space occupancy measures into three categories that capture changes in size, density, or position. We study the behavior of 25 measures to changes in trait space size, density, and position on simulated and empirical datasets. We find that no measure describes all of trait space aspects but that some are better at capturing certain aspects. Our results confirm the three broad categories (size, density, and position) and allow us to relate changes in any of these categories to biological phenomena. Because the choice of space occupancy measures is specific to the data and question, we introduced https://tguillerme.shinyapps.io/moms/moms, a tool to both visualize and capture changes in space occupancy for any measurement. https://tguillerme.shinyapps.io/moms/moms is designed to help workers choose the right space occupancy measures, given the properties of their trait space and their biological question. By providing guidelines and common vocabulary for space occupancy analysis, we hope to help bridging the gap in multidimensional research between ecology and evolution.

Indexed as

disparitydissimilarityecologyevolutionmultidimensionalitystatistics

Identifiers

PMID32760527
PMCPMC7391566

What OpenQuestion holds

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LicenceCC BY
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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.