Evidence map›Paper›PMID 40263701›Full record

ReviewThe New phytologist2025

Cones and consequences: the false dichotomy of conifers vs broad-leaves has critical implications for research and modelling.

Kate M Johnson, Matilda J M Brown, Katya I Bandow, Helena Vallicrosa

Abstract readReview
In one paragraph

Review in The New phytologist, 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

4 authors.

Kate M JohnsonCentre for Ecological Research and Forestry Applications (CREAF), Cerdanyola del Valles, 08193, Barcelona, Catalonia, Spain.ORCID https://orcid.org/0000-0002-3039-6339
Matilda J M BrownRoyal Botanic Gardens, Kew, Richmond, TW9 3AE, UK.ORCID https://orcid.org/0000-0003-2536-8365
Katya I BandowSchool of Biological Sciences, University of Tasmania, Hobart, TAS, 7001, Australia.ORCID https://orcid.org/0000-0003-0442-9480
Helena VallicrosaCommunity Ecology Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH-8903, Birmensdorf, Switzerland.ORCID https://orcid.org/0000-0002-5860-3096

Funding

Australian GovernmentAustralian Research Council Centre of Excellence for Plant Success in Nature and Agriculture CE200100015HORIZON EUROPE Marie Sklodowska-Curie Actions 101107177
6 · The paper itself

Abstract

In plant science research and modelling, particularly from the northern hemisphere, the terms 'needle-leaved' and 'conifer' along with 'broad-leaved' and 'angiosperm' are often used synonymously, creating the false dichotomy that conifers are needle-leaved and angiosperms are broad-leaved. While these equivalences may be largely correct in the temperate northern hemisphere, they do not hold true in equatorial and southern hemisphere forests. Confounding needle-leaved conifers and broad-leaved angiosperms presents significant issues in empirical research and modelling. Here, we highlight the likely origins and impacts of misusing conifer-related terminology, the misinterpretation that ensues and its implications. We identify the issue of a focus on Pinaceae and coin the term 'Pinaceae panacea' to describe this. We provide recommendations for future research: from standardising the use of definitions to shifting away from using Pinaceae as a model group for all conifers.

Indexed as

Models, BiologicalPlant LeavesResearchTracheophytaMagnoliopsidaTerminology as Topicbroad‐leavesconiferforestmodellingneedle‐leavesPFTPinaceaeterminology

Identifiers

PMID40263701
PMCPMC12138159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.