Evidence map›Paper›PMID 29158553›Full record

ArticleNature ecology & evolution2018

The architecture of mutualistic networks as an evolutionary spandrel.

Sergi Valverde, Jordi Piñero, Bernat Corominas-Murtra, Jose Montoya, Lucas Joppa, Ricard Solé

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2018. 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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  12. Ecological network complexity scales with area.Nature ecology & evolution · 2022
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  18. Evolving complexity: how tinkering shapes cells, software and ecological networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
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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

6 authors.

Sergi ValverdeICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 88, 08003, Barcelona, Spain. sergi.valverde@upf.edu.ORCID http://orcid.org/0000-0002-2150-9610
Jordi PiñeroICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 88, 08003, Barcelona, Spain.
Bernat Corominas-MurtraSection for the Science of Complex Systems, CeMSIIS, Medical University of Vienna, Spitalgasse 23, A-1090, Vienna, Austria.
Jose MontoyaTheoretical and Experimental Ecology Station, CNRS-University Paul Sabatier, Moulis, 09200, France.
Lucas JoppaMicrosoft Research, Cambridge, CB1 2FB, UK.
Ricard SoléICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 88, 08003, Barcelona, Spain.

Funding

European Research Council 726176
6 · The paper itself

Abstract

Mutualistic networks have been shown to involve complex patterns of interactions among animal and plant species, including a widespread presence of nestedness. The nested structure of these webs seems to be positively correlated with higher diversity and resilience. Moreover, these webs exhibit marked measurable structural patterns, including broad distributions of connectivity, strongly asymmetrical interactions and hierarchical organization. Hierarchical organization is an especially interesting property, since it is positively correlated with biodiversity and network resilience, thus suggesting potential selection processes favouring the observed web organization. However, here we show that all these structural quantitative patterns-and nestedness in particular-can be properly explained by means of a very simple dynamical model of speciation and divergence with no selection-driven coevolution of traits. The agreement between observed and modelled networks suggests that the patterns displayed by real mutualistic webs might actually represent evolutionary spandrels.

Indexed as

Biological EvolutionSymbiosisModels, Biological

Identifiers

PMID29158553
PMCPMC6025779

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.