Evidence map›Paper›PMID 40443189›Full record

ArticleEcology letters2025

Fundamental Interaction Niches: Towards a Functional Understanding of Ecological Networks' Resilience.

Emma-Liina Marjakangas, Bo Dalsgaard, Alejandro Ordonez

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 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

3 authors.

Emma-Liina MarjakangasSection for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-5245-3779
Bo DalsgaardSection for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Alejandro OrdonezSection for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-2873-4551

Funding

Danmarks Grundforskningsfond DNRF173Emil Aaltosen SäätiöHORIZON EUROPE Marie Sklodowska-Curie Actions 101108032
6 · The paper itself

Abstract

Global change will create new species interactions and alter or eliminate existing ones, a process known as interaction rewiring. This rewiring can significantly affect how ecosystems function. To better predict the future structure of ecological networks, assessing their ability to adapt to changes is crucial. Here, we introduce two concepts: 'rewiring capacity' of a single species (the multidimensional trait space of all its potential interaction partners within a region) and 'rewiring potential' of a local community (the total trait space covered by interaction partners of the species at the target trophic level locally). To quantify the rewiring capacity and potential, we apply existing methods for determining species' functional interaction niches in a novel way to assess species' and communities' ability to form new interactions and the functional resilience of interaction networks to global change. To illustrate the applicability of these concepts, we quantified the rewiring capacity and potential of interactions between 1002 flowering plant species and 318 hummingbird species across the Americas. The rewiring capacity and potential metrics offer a new way to understand and quantify network resilience, allowing us to map how ecological networks respond to global change.

Indexed as

BirdsEcosystemMagnoliopsidaModels, BiologicalAnimalsadaptabilityantagonistic interactionfunctional diversityfundamental nicheinteraction rewiringmetanetworkmutualistic interactionpairwise interactionrealised niche

Identifiers

PMID40443189
PMCPMC12123259

What OpenQuestion holds

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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.