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  Forecasting forest-related political decisions in a climate-constrained world – The remuneration of forest ecosystem services in Germany

Sprinz, D. F., Schaefers, T. V., Lenk, F., Krott, M. (2024): Forecasting forest-related political decisions in a climate-constrained world – The remuneration of forest ecosystem services in Germany. - Forest Policy and Economics, 169, 103231.
https://doi.org/10.1016/j.forpol.2024.103231

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_30441 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_30441_2
Genre: Journal Article

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Sprinz.2024.Forecasting Forest-Related Political Decisions in a Climate-Co...ts.FEP.pdf (Publisher version), 761KB
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Sprinz.2024.Forecasting Forest-Related Political Decisions in a Climate-Co...ts.FEP.pdf
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 Creators:
Sprinz, Detlef F.1, Author              
Schaefers, Tabea V.2, Author
Lenk, Freya1, Author              
Krott, Max2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: Policy forecasts Forest climate policy Payments for ecosystem services Germany Power-based decision Interest-based decision
 Abstract: Political systems are under increasing pressures to respond to the impacts of climate change. We employ a numerical policy negotiation forecast model and apply it to forest-related political decisions on remunerating forest ecosystem services. Our results predict that German forest carbon sinks will be partially remunerated by government payment systems as will nature conservation efforts and climate resilient forest management. Our predictions indicate that there is substantial remaining upward pressure on each of these issues to go beyond present regulations.

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Language(s): eng - English
 Dates: 2023-08-282024-04-152024-08-292024-12-01
 Publication Status: Finally published
 Pages: 29
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.forpol.2024.103231
Organisational keyword: FutureLab - Ceres
Research topic keyword: Biodiversity
Research topic keyword: CO2 Removal
Research topic keyword: Climate Policy
Research topic keyword: Ecosystems
Research topic keyword: Forest
Research topic keyword: Policy Advice
Research topic keyword: Sustainable Development
Regional keyword: Germany
Model / method: Decision Theory
Model / method: Quantitative Methods
MDB-ID: pending
OATYPE: Hybrid Open Access
 Degree: -

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Title: Forest Policy and Economics
Source Genre: Journal, SCI, SSCI, Scopus
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Pages: - Volume / Issue: 169 Sequence Number: 103231 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1872-7050
Publisher: Elsevier