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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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 ???ViewItemFull_lblCreators???:
Sprinz, Detlef F.1, ???ENUM_CREATORROLE_AUTHOR???           
Schaefers, Tabea V.2, ???ENUM_CREATORROLE_AUTHOR???
Lenk, Freya1, ???ENUM_CREATORROLE_AUTHOR???           
Krott, Max2, ???ENUM_CREATORROLE_AUTHOR???
???ViewItemFull_lblAffiliations???:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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???ViewItemFull_lblSubject???: Policy forecasts Forest climate policy Payments for ecosystem services Germany Power-based decision Interest-based decision
 ???ViewItemFull_lblAbstract???: 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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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2023-08-282024-04-152024-08-292024-12-01
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1016/j.forpol.2024.103231
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: FutureLab - Ceres
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Biodiversity
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: CO2 Removal
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Climate Policy
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Ecosystems
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Forest
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Policy Advice
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Sustainable Development
???ENUM_IDENTIFIERTYPE_REGIONALK???: Germany
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Decision Theory
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Quantitative Methods
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???ViewItemFull_lblSourceTitle???: Forest Policy and Economics
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, SSCI, Scopus
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Elsevier