Evidence map›Paper›PMID 41186050›Full record

ArticleGlobal change biology2025

Response of Global Forest Management to Changes in Wood Demand.

Bartlomiej Arendarczyk, Sam Rabin, Daniel Bampoh, Almut Arneth, Mark Rounsevell, Peter Alexander

Abstract read
In one paragraph

Article in Global change biology, 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

6 authors.

Bartlomiej ArendarczykSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.ORCID 0009-0005-7612-9550
Sam RabinClimate & Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.
Daniel BampohInstitute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany.
Almut ArnethInstitute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany.ORCID 0000-0001-6616-0822
Mark RounsevellSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.
Peter AlexanderSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-6010-1186

Funding

Natural Environment Research Council NE/S007407/1UK Research and Innovation Co-designing holistic forest-based policy pathwaysUK Research and Innovation Joined-up land use strategies tackling climate cha
6 · The paper itself

Abstract

Global wood harvests have steadily increased over the last several decades and are projected to continue growing to match demand for wood products. How forest managers respond to changes in wood demand depends not just on timber prices and production costs but also on competition with other land uses, changes in forest productivity, and land use policies. Wood demand projections are sensitive to assumptions about socioeconomic development, including population growth, economic growth, and policy changes. Using a spatially detailed, process-based land use model (LandSyMM), we simulate global wood demand, harvests, and forest management intensity under a range of future socioeconomic (Shared Socioeconomic Pathways; SSPs) and climate (Representative Concentration Pathways; RCPs) scenarios. Wood demand is projected for each country using a price-elastic demand system that models changes in demand for industrial roundwood and wood fuel in response to changes in countries' incomes and endogenously modelled wood prices. Competition for land between forestry and agriculture, including for food and animal feed, is explicitly represented. We find that future wood harvests and forest management intensity vary considerably between scenarios. Different regions show heterogeneous responses to changes in wood demand, with global demand increasing between 27% (SSP1-RCP2.6) and 102% (SSP3-RCP7.0) by 2100. The results suggest that additional wood harvests will primarily be met through intensification of forest management and an increase in potential yields arising from climate change and CO

Indexed as

Conservation of Natural ResourcesForestryForestsWoodClimate ChangeModels, Theoreticalclimate changeforest managementland use modellingsocioeconomic scenarioswood demand

Identifiers

PMID41186050
PMCPMC12584040

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.