Assessment of expert-based tools and dynamic forest models as decision support for climate-adaptive forest management: the case of Swiss mountain forests

This repository contains R scripting codes as supporting information to the manuscript entitled "Assessment of expert-based tools and dynamic forest models as decision support for climate-adaptive forest management: the case of Swiss mountain forests" by Marano G., Hiltner H., Frehner M., Temperli C., and Bugmann H.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-08
DOI
https://doi.org/10.5281/zenodo.15171863
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
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article

Assessment of expert-based tools and dynamic forest models as decision support for climate-adaptive forest management: the case of Swiss mountain forests

Zenodo (CERN European Organization for Nuclear Research)
Forest Management and Policy
article

Assessment of expert-based tools and dynamic forest models as decision support for climate-adaptive forest management: the case of Swiss mountain forests

article en

Abstract

This repository contains R scripting codes as supporting information to the manuscript entitled "Assessment of expert-based tools and dynamic forest models as decision support for climate-adaptive forest management: the case of Swiss mountain forests" by Marano G., Hiltner H., Frehner M., Temperli C., and Bugmann H.

Zenodo (CERN European Organization for Nuclear Research)
ETH Zurich (CH)
Climate action
Openalex Percentile: Top 60%
Forest Management and Policy
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Assessment of expert-based tools and dynamic forest models as decision support for climate-adaptive forest management: the case of Swiss mountain forests · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS