Evidence map›Paper›PMID 41860090›Full record

ArticleEcology letters2026

Three Decades of Butterfly-Plant Interaction Turnover Explained by Climate and Species Loss.

Pau Colom, Constantí Stefanescu, Jordi Corbera, Amparo Lázaro

Abstract read
In one paragraph

Article in Ecology letters, 2026. 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

4 authors.

Pau ColomCREAF, Bellaterra, Cerdanyola del Vallès, Spain.ORCID https://orcid.org/0000-0003-0309-8886
Constantí StefanescuNatural Sciences Museum of Granollers, Granollers, BiBio Research Group, Catalonia, Spain.ORCID https://orcid.org/0000-0001-8952-7869
Jordi CorberaDelegació de la Serralada Litoral Central, Institució Catalana D'història Natural (ICHN), Mataró, Spain.ORCID https://orcid.org/0000-0003-3583-3929
Amparo LázaroMediterranean Institute for Advanced Studies (UIB-CSIC), Global Change Research Group, Esporles, Balearic Islands, Spain.ORCID https://orcid.org/0000-0001-5626-4134

Funding

Spanish Ministry of Science, Innovation, and Universities, and Spanish State Research Agency (MCIN/AEI/10.13039/501100011033) PID2023-150295OB-I00
6 · The paper itself

Abstract

Understanding the mechanisms behind interaction turnover over long-term periods is essential to predict how ecological networks respond to global change. We used a high-resolution dataset of butterfly-plant interactions spanning 13-29 years in seven Mediterranean communities to assess how climate fluctuations and community shifts shape interaction turnover and its components-species turnover and rewiring. Rewiring contributed the most to interaction turnover, but its relative importance declined over time as species loss reduced the pool of shared partners between years. Consequently, species turnover became increasingly influential, even though communities shifted toward butterfly species with generalist traits that promote rewiring. Nevertheless, rewiring intensified in years with stronger temperature fluctuations, when populations experienced greater shifts in phenology and abundance and were more likely to rewire. In the context of biodiversity loss, species turnover increasingly governs interaction dynamics, while the short-term flexibility provided by rewiring may collapse as communities become impoverished.

Indexed as

BiodiversityButterfliesClimateClimate ChangePlantsAnimalsEcosystemMediterranean RegionPopulation Dynamicsbiotic homogenizationinteraction dynamicsmutualistic networksphenologypollinator declinerewiringspecies traitsspecies turnover

Identifiers

PMID41860090
PMCPMC13003583

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.