Evidence map›Paper›PMID 39931429›Full record

ArticleOpen research Europe2023

MultiOptForest: An interactive multi-objective optimization tool for forest planning and scenario analysis.

Kyle Eyvindson, Daniel Burgas, Clara Antón-Fernández, Jussi Hakanen, Michael Emmerich, Julian Klein, Mikko Mönkkönen, Tord Snäll, Astor Toraño Caicoya, Marta Vergarechea and 1 more

Abstract read
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In one paragraph

Article in Open research Europe, 2023. 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

11 authors.

Kyle EyvindsonFaculty of Environmental Sciences and Natural Resource Management, Norges miljø- og biovitenskapelige universitet, Ås, NO-1432, Norway.ORCID https://orcid.org/0000-0003-0647-1594
Daniel BurgasDepartment of Biological and Environmental Science, Jyvaskylan yliopisto, P.O. Box 35, Jyväskylä, 40014, Finland.ORCID https://orcid.org/0000-0003-3512-8365
Clara Antón-FernándezDivision of Forest and Forest Resources, Norwegian Institute for Bioeconomy Research, Ås, 1433, Norway.
Jussi HakanenSilo Ai, Fredrikinkatu 57 C, Helsinki, 00180, Finland.
Michael EmmerichSilo Ai, Fredrikinkatu 57 C, Helsinki, 00180, Finland.
Julian KleinSwedish Species Information Centre, Sveriges lantbruksuniversitet, P.O. 7007, Uppsala, 75007, Sweden.ORCID https://orcid.org/0000-0002-4269-4974
Mikko MönkkönenDepartment of Biological and Environmental Science, Jyvaskylan yliopisto, P.O. Box 35, Jyväskylä, 40014, Finland.ORCID https://orcid.org/0000-0001-8897-3314
Tord SnällSwedish Species Information Centre, Sveriges lantbruksuniversitet, P.O. 7007, Uppsala, 75007, Sweden.
Astor Toraño CaicoyaChair of Growth and Yield Science, School of Life Sciences, Technische Universitat Munchen, Hans-Carl-von-Carlowitz-Platz 2, 8354 Freising, Germany.
Marta VergarecheaDivision of Forest and Forest Resources, Norwegian Institute for Bioeconomy Research, Ås, 1433, Norway.
Clemens BlattertForest Resources and Management, Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland.ORCID https://orcid.org/0000-0003-0892-8666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MultiOptForest is an open-source software designed to simplify building and solving multi-objective optimization problems for forest planning. It aims to find the optimal portfolio of management regimes that balance the objectives regarding multiple forest ecosystem services and biodiversity. The software flexibly imports data, allowing for the use of a variety of forest simulator outputs. The user provides preference information through a user-friendly graphical interface, where the range of possible values for each objective is provided. MultiOptForest solves the optimization problem producing a set of Pareto optimal solutions,

Indexed as

forest planninginteractive decision makingMulti-objective optimizationscenario assessment

Identifiers

PMID39931429
PMCPMC11809471

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.