Evidence map›Paper›PMID 39976302›Full record

ArticleEcology letters2025

A Mechanistic Approach to Animal Dispersal-Quantifying Energetics and Maximum Distances.

Caitlin Wilkinson, Ulrich Brose, Alexander Dyer, Myriam R Hirt, Remo Ryser

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. 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

5 authors.

Caitlin WilkinsonGerman Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-2831-8235
Ulrich BroseGerman Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0001-9156-583X
Alexander DyerGerman Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.
Myriam R HirtGerman Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-8112-2020
Remo RyserGerman Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0002-3771-8986

Funding

Deutsche Forschungsgemeinschaft FOR 2716Deutsche Forschungsgemeinschaft FZT 118
6 · The paper itself

Abstract

Dispersal is a fundamental process driving many ecological patterns. During transfer, species often make large-scale displacements resulting in significant energy losses with implications for fitness and survival, however generalising these losses across different taxonomic groups is challenging. We developed a bioenergetic dispersal model based on fundamental processes derived from species traits. By balancing energy storage and energy loss during active dispersal, our mechanistic model can quantify energy expenditures depending on landscape configuration and the species in focus. Moreover, it can be used to predict the maximum dispersal capacity of animals, which we compare with recorded maximum dispersal distances (n = 1571). Due to its foundation in bioenergetics it can easily be integrated into various ecological models, such as food-web and meta-community models. Furthermore, as dispersal is integral to ecological research, the quantification of dispersal capacities provides valuable insight into landscape connectivity, species persistence, and distribution patterns with implications for conservation research.

Indexed as

Animal DistributionEnergy MetabolismModels, BiologicalAnimalsEcosystemFood Chainbirdbody sizefishlocomotion modemammaltraitstransfer

Identifiers

PMID39976302
PMCPMC11840884

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.