Evidence map›Paper›PMID 42380409›Full record

ArticleScientific reports2026

Dispersal mode and spatial heterogeneity shape the interaction between adaptation and dispersal in multitrophic metacommunities.

Pablo Moisset de Espanés, Ana I Borthagaray, Matías Arim, Rodrigo Ramos-Jiliberto

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pablo Moisset de EspanésCentro de Biotecnología y Bioingeniería, Universidad de Chile, Av. Beaucheff 851, Santiago, Chile.
Ana I BorthagarayDepartamento de Ecología y Gestión Ambiental, Centro Universitario Regional del Este, Universidad de la República, Maldonado, Uruguay.
Matías ArimDepartamento de Ecología y Gestión Ambiental, Centro Universitario Regional del Este, Universidad de la República, Maldonado, Uruguay.
Rodrigo Ramos-JilibertoGEMA Center for Genomics, Ecology and Environment, Universidad Mayor, Camino La Pirámide 5750, Huechuraba, Chile. rodrigo.ramos@umayor.cl.

Funding

ANID/FONDECYT 1231321ANII FCE 1-176573CSIC groups-UDELAR 657725
6 · The paper itself

Abstract

Species facing environmental heterogeneity can persist either by adapting to local conditions or by dispersing to more suitable habitats. We evaluated how species' adaptive capacity, dispersal rate, and dispersal mode (passive versus fitness-dependent) interact to shape biodiversity in multitrophic metacommunities across thermally heterogeneous landscapes. Using simulations of a novel spatially explicit model in which species adjust their thermal optima, we found that biodiversity responded unimodally to both adaptation and dispersal, with diversity peaking at intermediate levels of each process. Greater environmental heterogeneity shifted diversity maxima toward higher adaptation rates, while fitness-dependent dispersal shifted them toward higher dispersal rates and partly buffered the homogenizing effects of movement on community composition. We also found that biodiversity in multitrophic systems was more responsive to adaptation than in competitive communities. Together, these results show that the maintenance of biodiversity in heterogeneous landscapes depends not only on how fast species move or adapt, but also on how dispersal decisions are made. Our study calls for a stronger integration of evolutionary and behavioral processes into metacommunity theory.

Indexed as

Adaptation, PhysiologicalEcosystemAnimalsBiodiversityModels, Biological

Identifiers

PMID42380409
PMCPMC13458541

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.