Evidence map›Paper›PMID 40866337›Full record

ArticleNature communications2025

Species traits and landscape structure can drive scale-dependent propagation of effects in ecosystems.

David García-Callejas, Sandra Lavorel, Otso Ovaskainen, Duane A Peltzer, Jason M Tylianakis

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

David García-CallejasCentre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand. david.garcia.callejas@gmail.com.ORCID http://orcid.org/0000-0001-6982-476X
Sandra LavorelManaaki Whenua-Landcare Research, Lincoln, New Zealand.ORCID http://orcid.org/0000-0002-7300-2811
Otso OvaskainenDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
Duane A PeltzerManaaki Whenua-Landcare Research, Lincoln, New Zealand.
Jason M TylianakisCentre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.ORCID http://orcid.org/0000-0001-7402-5620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species can directly and indirectly affect others across communities and habitats, yet the spatial scale over which such effects spread remains unclear. This uncertainty arises partly because the species traits and landscape structures allowing indirect effects to propagate may differ across scales. Here, we use a topological network metric, communicability, to explore the factors controlling spatial propagation of effects in a large-scale plant-frugivore network projected across the territory of Aotearoa New Zealand. We show that generalism, species prevalence, and morphological traits are important predictors of species' capacity to propagate effects, but their importance differed across scales. Furthermore, native bird species (but not exotics) show a positive relationship between body size and their potential to propagate effects. Habitat composition is the most important landscape factor in our study, generating hotspots of effect propagation around forested areas, whereas landscapes containing a variety of habitats act as a buffer against propagation. Overall, our results indicate that species displaying specific sets of traits, including ubiquity, interaction generalism, and a combination of large body size and native status, are the most likely to propagate large-scale ecological impacts in the plant-frugivore communities studied, yet landscape properties may moderate this spread.

Indexed as

BirdsEcosystemAnimalsBiodiversityBody SizeForestsNew ZealandPlantsSpecies Specificity

Identifiers

PMID40866337
PMCPMC12391317

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.