Evidence map›Paper›PMID 41100729›Full record

ArticleEcology letters2025

Putative 'Dispersal Adaptations' Do Not Explain the Colonisation of a Volcanic Island by Vascular Plants, but Birds Can.

Pawel Wasowicz, Ádám Lovas-Kiss, Nándor Szabó, Andy J Green

Abstract read
In one paragraph

Article in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Pawel WasowiczNatural Science Institute of Iceland, Akureyri, Iceland.ORCID https://orcid.org/0000-0002-6864-6786
Ádám Lovas-KissMTA-HUN-REN-CER Lendület 'Momentum' Dispersal Ecology Research Group, HUN-REN Centre for Ecological Research, IAE, Debrecen, Hungary.ORCID https://orcid.org/0000-0002-8811-1623
Nándor SzabóMTA-HUN-REN-CER Lendület 'Momentum' Dispersal Ecology Research Group, HUN-REN Centre for Ecological Research, IAE, Debrecen, Hungary.
Andy J GreenDepartment of Conservation Biology and Global Change, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain.ORCID https://orcid.org/0000-0002-1268-4951

Funding

Ministerio de Ciencia, Innovación y Universidades PID2020-112774GB-I00/AEI/10.13039/501100011033National Research, Development and Innovation Funds OTKA-FK 138698
6 · The paper itself

Abstract

Dispersal syndromes based on traits assumed to be adaptations for specific dispersal mechanisms are routinely assigned to flowering plants. Using the colonisation record from a volcanic island formed in 1963, we assess whether dispersal syndromes predict which species establish on newly formed land. We evaluated the long-distance dispersal (LDD) syndromes of the 78 plant species using three European classification systems. Syndrome assignments were inconsistent between classifications (coinciding for ≤ 13% of species). Two systems showed no evidence that LDD syndromes conferred a colonisation advantage. The third classification suggested wind syndromes were favoured, but only assigned a minority of colonisers to LDD syndromes. 'Unassisted' species assumed to lack dispersal adaptations were dominant. However, empirical evidence supports endozoochory via aquatic birds for 62 colonisers. This suggests bird-dispersal is a major driver of colonisation for dry-fruited plants, and underscores the need for new approaches to plant dispersal that account for overlooked plant-animal interactions.

Indexed as

Adaptation, PhysiologicalBirdsMagnoliopsidaPlant DispersalAnimalsIslandsendozoochoryisland biogeographyplant colonisationplant traitsseed dispersalsub‐arctic island

Identifiers

PMID41100729
PMCPMC12530702

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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.