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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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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_30441 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_30441_3
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Sprinz.2024.Forecasting Forest-Related Political Decisions in a Climate-Co...ts.FEP.pdf (Verlagsversion), 761KB
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 Urheber:
Sprinz, Detlef F.1, Autor              
Schaefers, Tabea V.2, Autor
Lenk, Freya1, Autor              
Krott, Max2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

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Schlagwörter: Policy forecasts Forest climate policy Payments for ecosystem services Germany Power-based decision Interest-based decision
 Zusammenfassung: 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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Sprache(n): eng - Englisch
 Datum: 2023-08-282024-04-152024-08-292024-12-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 29
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: 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: No data to archive
OATYPE: Hybrid Open Access
 Art des Abschluß: -

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Titel: Forest Policy and Economics
Genre der Quelle: Zeitschrift, SCI, SSCI, Scopus
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 169 Artikelnummer: 103231 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1872-7050
Publisher: Elsevier