Evidence map›Paper›PMID 38034580›Full record

ArticleFrontiers in plant science2023

The admixture of

Giulia Silvia Giberti, Georg von Arx, Alessio Giovannelli, Ben du Toit, Lucrezia Unterholzner, Kamil Bielak, Marco Carrer, Enno Uhl, Felipe Bravo, Giustino Tonon and 1 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Giulia Silvia GibertiFaculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano - Bozen, Bolzano, Italy.
Georg von ArxSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Alessio GiovannelliIstituto di Ricerca sugli Ecosistemi Terrestri (IRET), Consiglio Nazionale Ricerche, Sesto Fiorentino, Italy.
Ben du ToitDepartment of Forest and Wood Science, Faculty of AgriSciences, Stellenbosch University, Stellenbosch, South Africa.
Lucrezia UnterholznerDepartment of Land Environment Agriculture and Forestry, University of Padova, Legnaro, Italy.
Kamil BielakDepartment of Silviculture, Institute of Forest Sciences, Warsaw University of Life Sciences-SGGW, Warsaw, Poland.
Marco CarrerDepartment of Land Environment Agriculture and Forestry, University of Padova, Legnaro, Italy.
Enno UhlSchool of Life Sciences, Chair for Forest Growth and Yield Science, Technical University of Munich (TUM), Freising, Germany.
Felipe BravoInstituto Universitario de Investigación en Gestión Forestal Sostenible (iuFOR). Escuela Técnica Superior de Ingenierías Agrarias de Palencia, Universidad de Valladolid, Palencia, Spain.
Giustino TononFaculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano - Bozen, Bolzano, Italy.
Camilla WellsteinFaculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano - Bozen, Bolzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Forests are threatened by increasingly severe and more frequent drought events worldwide. Mono-specific forests, developed as a consequence of widespread management practices established early last century, seem particularly susceptible to global warming and drought compared with mixed-species forests. Although, in several contexts, mixed-species forests display higher species diversity, higher productivity, and higher resilience, previous studies highlighted contrasting findings, with not only many positive but also neutral or negative effects on tree performance that could be related to tree species diversity. Processes underlying this relationship need to be investigated. Wood anatomical traits are informative proxies of tree functioning, and they can potentially provide novel long-term insights in this regard. However, wood anatomical traits are critically understudied in such a context. Here, we assess the role of tree admixture on Methods: Three monocultural plots of Results: The results highlighted that anatomical wood density was one of the most sensitive traits to detect tree responses to climatic conditions and drought under different climate and forest types. Inter-specific facilitation mechanisms were detected in the admixture between Discussion: Our findings suggest that the admixture between

Indexed as

climate changedroughtinter-specific facilitationmixed forestPinus sylvestrisquantitative wood anatomy

Identifiers

PMID38034580
PMCPMC10687546

What OpenQuestion holds

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LicenceCC BY
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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.