Traits Explain Canopy Tree Occurrence Along Regional Environmental Gradients: A Subset Combine to Be Useful.

Peter A Vesk, Saras M Windecker, Rachael V Gallagher, William K Morris, Laura J Pollock, Isaac R Towers, Daniel S Falster

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In one paragraph

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Peter A VeskSchool of Agriculture, Food and Ecosystem Sciences The University of Melbourne Parkville Victoria Australia.ORCID https://orcid.org/0000-0003-2008-7062

Saras M WindeckerSchool of Agriculture, Food and Ecosystem Sciences The University of Melbourne Parkville Victoria Australia.ORCID https://orcid.org/0000-0002-4870-8353

Rachael V GallagherHawkesbury Institute for the Environment Western Sydney University Penrith New South Wales Australia.ORCID https://orcid.org/0000-0002-4680-8115

William K MorrisFinnish Museum of Natural History University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0002-8686-4154

Laura J PollockDepartment of Biology McGill University Montreal Qubec Canada.ORCID https://orcid.org/0000-0002-6004-4027

Isaac R TowersEvolution & Ecology Research Centre University of New South Wales Sydney New South Wales Australia.ORCID https://orcid.org/0000-0003-4570-3474

Daniel S FalsterEvolution & Ecology Research Centre University of New South Wales Sydney New South Wales Australia.ORCID https://orcid.org/0000-0002-9814-092X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trait-Species Distribution Models (trait-SDM) help to understand the importance of plant strategies to niches, assess their generality across species and provide a path to predicting species distributions from a shortlist of traits. Yet published trait-environment associations show considerable inconsistency. Region-scale models may leverage more species, traits, trait ranges and climatic gradients, than at local scales, while retaining biogeographic coherence, which is lost in global compilations. Here we fit trait-SDMs with six traits using multilevel models for over 90 eucalypt tree taxa. We model presence-absence in 1 km

Indexed as

eucalyptjoint species distribution modelsmulti‐level modeltrait‐environment associationstrait‐SDM

Identifiers

PMID42078658

DOI10.1002/ece3.73583

PMCPMC13132805

What OpenQuestion holds

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LicenceCC BY

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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.