Evidence map›Paper›PMID 35765809›Full record

ArticleBiology letters2022

A network-based measure of functional diversity in food webs.

Wen-Hsien Lin, Shu-Mei Lai, Andrew J Davis, Wei-Chung Liu, Ferenc Jordán

Abstract read
In one paragraph

Article in Biology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Wen-Hsien LinGenome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan.
Shu-Mei LaiInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Andrew J DavisJ.F. Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, Germany.
Wei-Chung LiuInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Ferenc JordánDepartment of Political Sciences, Democracy Institute, Central European University, Budapest, Hungary.ORCID 0000-0002-0224-6472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity is measured from various perspectives. One of them, functional diversity, quantifies the heterogeneity in species traits and roles in an ecosystem. One important aspect of species roles is their interactions with other species, i.e. their network role. We therefore investigate here functional diversity from the network perspective. Species differ in their network positions in a food web, having different interaction patterns. We developed a measure for quantifying the diversity in species interaction patterns in a food web. We examined the relationship between interaction diversity and several global network properties for 92 food webs. Our results showed that high interaction diversity occurs in sparsely connected and less cohesive food webs. High interaction diversity also occurred in food webs with more clusters and high network modularity. We also quantified several conventional functional diversity indices and demonstrate that they show little or no correlation with interaction diversity. Our proposed diversity index therefore provides a measure complementary to current concepts of functional diversity.

Indexed as

EcosystemFood ChainBiodiversityfood webfunctional diversitynetwork analysis

Identifiers

PMID35765809
PMCPMC9240674

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.