Evidence map›Paper›PMID 41799971›Full record

ArticleFrontiers in plant science2026

Phylogenetic signal in flowering phenology weakens over elevation in the high Andes of Chile: evidence for evolutionary convergence in a harsh habitat.

Ítalo Tamburrino, Valeria Robles, Paola Jara-Arancio, Pablo C Guerrero, Jesús López-Angulo, Jeannine Cavender-Bares, Mary T K Arroyo

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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ítalo TamburrinoDepartamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile.
Valeria RoblesCentro Internacional Cabo de Hornos (CHIC), Universidad de Magallanes, Punta Arenas, Chile.
Paola Jara-ArancioCentro Internacional Cabo de Hornos (CHIC), Universidad de Magallanes, Punta Arenas, Chile.
Pablo C GuerreroInstituto de Ecología y Biodiversidad (IEB), Concepción, Chile.
Jesús López-AnguloInstituto de Investigación en Cambio Global (IICG-URJC), Universidad Rey Juan Carlos, Móstoles, Spain.
Jeannine Cavender-BaresHarvard University Herbaria and Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States.
Mary T K ArroyoDepartamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: High elevation plants experience cold temperatures and short growing seasons that constrain their flowering window. These environmental limitations are expected to promote strong overlap in flowering phenology among co-occurring species. Whether similarity in flowering times arises from environmental filtering of lineages preadapted to cold conditions or from evolutionary convergence in response to shared selective pressures remains unclear. We hypothesize that flowering phenology of high alpine communities is the result of convergence due to strong selective pressure imposed by the environment rather than environmental filtering for conserved ancestral traits. Methods: To test this hypothesis, we analyzed the functional and phylogenetic structure of phenological traits, as well as their phylogenetic signal, using a molecular phylogeny across four sites spanning subalpine to high alpine zones in the central Chilean Andes. A total of 86 species were included. Observed patterns were compared against null model expectations to evaluate functional convergence, phylogenetic structure, and trait conservatism. Results: High alpine sites exhibited earlier flowering following snowmelt, greater functional convergence in phenological traits, and significant phylogenetic signal in a smaller subset of floral traits compared to subalpine sites. Additionally, both high alpine communities showed significant terminal phylogenetic clustering. Discussion: Our results suggest that environmental filtering of preadapted lineages plays a minor role in shaping high alpine community structure. Rather, intense environmental pressures at higher elevations appear to drive trait convergence in flowering phenology. We conclude that the general trend for phylogenetic conservatism in floral phenology has been overridden by the harsh environmental conditions in the high Andes. The high alpine environment can be seen as an evolutionary promoter of convergent phenological strategies rather than a gatekeeper of lineages preadapted to cold conditions.

Indexed as

alpine plantsAndeselevation gradientflowering phenologyfunctional diversityphylogenetic signalphylogenetic structure

Identifiers

PMID41799971
PMCPMC12962001

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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.