Evidence map›Paper›PMID 33767821›Full record

ArticleEcology and evolution2021

Understanding 3D structural complexity of individual Scots pine trees with different management history.

Ninni Saarinen, Kim Calders, Ville Kankare, Tuomas Yrttimaa, Samuli Junttila, Ville Luoma, Saija Huuskonen, Jari Hynynen, Hans Verbeeck

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
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

6 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors at 3 institutions in 2 countries.

Ninni SaarinenDepartment of Forest Sciences University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0003-2730-8892
Kim CaldersCAVElab - Computational & Applied Vegetation Ecology Department of Environment Faculty of Bioscience Engineering Ghent University Gent Belgium.ORCID https://orcid.org/0000-0002-4562-2538
Ville KankareDepartment of Forest Sciences University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0001-6038-1579
Tuomas YrttimaaDepartment of Forest Sciences University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0003-2648-523X
Samuli JunttilaDepartment of Forest Sciences University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0001-8276-9259
Ville LuomaDepartment of Forest Sciences University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0002-9036-8591
Saija HuuskonenNatural Resources Institute Finland Helsinki Finland.ORCID https://orcid.org/0000-0001-8630-3982
Jari HynynenNatural Resources Institute Finland Helsinki Finland.ORCID https://orcid.org/0000-0002-9132-8612
Hans VerbeeckCAVElab - Computational & Applied Vegetation Ecology Department of Environment Faculty of Bioscience Engineering Ghent University Gent Belgium.ORCID https://orcid.org/0000-0003-1490-0168
University of Helsinki · FIGhent University · BENatural Resources Institute Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tree functional traits together with processes such as forest regeneration, growth, and mortality affect forest and tree structure. Forest management inherently impacts these processes. Moreover, forest structure, biodiversity, resilience, and carbon uptake can be sustained and enhanced with forest management activities. To assess structural complexity of individual trees, comprehensive and quantitative measures are needed, and they are often lacking for current forest management practices. Here, we utilized 3D information from individual Scots pine (

Indexed as

box dimensionforest ecologyground‐based LiDARgrowth and yieldsilvicultureterrestrial laser scanningtree structure

Identifiers

PMID33767821
PMCPMC7981231
OpenAlexW3129169326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.