Evidence map›Paper›PMID 40804071›Full record

ArticleScientific reports2025

Optimizing sustainable and multifunctional management of Alpine Forests under climate change.

Leo Gallus Bont, Michael Hölscher, Simon Mutterer, Maria Beranek, Janine Schweier, Udo Buscher, Martin Scheffler, Kai Husmann, Leona Ottens, Clemens Blattert

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Leo Gallus Bont *Forest Resources and Management, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland. leo.bont@wsl.ch.
Michael HölscherChair of Business Administration, esp. Industrial Management, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden, Germany.
Simon MuttererForest Resources and Management, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Maria BeranekChair of Business Administration, esp. Industrial Management, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden, Germany.
Janine SchweierForest Resources and Management, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Udo BuscherChair of Business Administration, esp. Industrial Management, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden, Germany.
Martin SchefflerChair of Business Administration, esp. Industrial Management, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden, Germany.
Kai HusmannDepartment of Forest Economics and Sustainable Land-use Planning, University of Göttingen, Göttingen, Germany.
Leona OttensDepartment of Forest Economics and Sustainable Land-use Planning, University of Göttingen, Göttingen, Germany.
Clemens Blattert *Forest Resources and Management, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland. clemens.blattert@wsl.ch.

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101000406
6 · The paper itself

Abstract

Climate change is challenging the sustainable provision of biodiversity and ecosystem services in mountain forests, including the important protection service against gravitational natural hazards. Forests offer a relatively cost-efficient measure to protect humans and infrastructure from natural hazards. Forest managers are faced with the question of how to adapt their forest to climate change and optimally manage their forests to guarantee future forest multifunctionality. Usually, alternative close-to-nature forest management strategies can be implemented, but individual management objectives and forest resilience affect the optimal portfolio of management strategies. To address this planning task, we used the climate-sensitive forest growth model ForClim and developed a tailored multi-objective optimization method, considering particularities of forests with a protection service. We applied the method in an Alpine forest enterprise in Switzerland. We combined three climate change scenarios with three optimization scenarios. Our results show that a diversified and optimized portfolio of management strategies can safeguard and improve the provision of multiple ecosystem services and biodiversity concurrently. However, given the increasing intensity of climate change, a greater share of climate-adapted close-to-nature forest management strategies is necessary, reaching 78% in forests without a protection service and 68% in forests with a protection service under severe climate change and optimized for multifunctionality. Adaptation also enabled further improvement of biodiversity and ecosystem service provision, particularly for carbon sequestration. The presented simulation and optimization framework, tailored for mountain forests with a protection service, shows flexibility in the integration of management objectives, making it useful for decision support. Forest management planning should rely more on and make use of such frameworks to help support forests under the uncertainties of climate change and to achieve the future political ambitions of multifunctionality and climate resilient forest ecosystems.

Indexed as

Climate ChangeConservation of Natural ResourcesForestryForestsBiodiversityEcosystemModels, TheoreticalSwitzerlandClose-to-nature forestryForest management planningGravitational hazardsMulti-objective optimizationProtection forest

Identifiers

PMID40804071
PMCPMC12350834

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.