Evidence map›Paper›PMID 31380096›Full record

ArticleEcology and evolution2019

Measuring avian specialization.

Federico Morelli, Yanina Benedetti, Anders Pape Møller, Richard A Fuller

Abstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  10. Measuring avian specialization.Ecology and evolution · 2019
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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.

Federico MorelliDepartment of Applied Geoinformatics and Spatial Planning, Faculty of Environmental Sciences Czech University of Life Sciences Prague Prague Czech Republic.ORCID https://orcid.org/0000-0003-1099-1357
Yanina BenedettiDepartment of Applied Geoinformatics and Spatial Planning, Faculty of Environmental Sciences Czech University of Life Sciences Prague Prague Czech Republic.ORCID https://orcid.org/0000-0003-1600-2310
Anders Pape MøllerEcologie Systématique Evolution Université Paris-Sud, CNRS, AgroParisTech Université Saclay Orsay Cedex France.ORCID https://orcid.org/0000-0003-3739-4675
Richard A FullerSchool of Biological Sciences The University of Queensland St Lucia Queensland Australia.ORCID https://orcid.org/0000-0001-9468-9678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring the extent to which a species is specialized is a major challenge in ecology, with important repercussions for fundamental research as well as for applied ecology and conservation. Here, we develop a multidimensional index of specialization based on five sets of ecological characteristics of breeding bird species. We used two recent databases of species traits of European birds based on foraging ecology, habitat, and breeding characteristics. The indices of specialization were calculated by applying the Gini coefficient, an index of inequality. The Gini coefficient is a measure of statistical dispersion on a scale between 0 and 1, reflecting a gradient from low to high specialization, respectively. Finally, we tested the strength of the phylogenetic signal of each specialization index to understand how the variance of such indices is shared throughout the phylogeny. The methods for constructing and evaluating a multidimensional index of bird specialization could also be applied to other taxa and regions, offering a simple but useful tool, particularly suited for global or biogeographic studies, as a contribution to comparative estimates of the degree of specialization of species.

Indexed as

animal specializationbirdconservation ecologygeneralistphylogenetic signaltrait‐based approach

Identifiers

PMID31380096
PMCPMC6662403

What OpenQuestion holds

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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.