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  Sustainable forest transitions: A new analytical framework to understand social and ecological outcomes of reforestation

Oldekop, J. A., Devenish, K., Alencar, L., Erbaugh, J. T., Hernández-Montilla, M., Jaiswal, S., Khuu, D. T., Mansourian, S., Meyfroidt, P., Nofyanza, S., Pritchard, R. (2025): Sustainable forest transitions: A new analytical framework to understand social and ecological outcomes of reforestation. - One Earth, 8, 5, 101248.
https://doi.org/10.1016/j.oneear.2025.101248

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 Urheber:
Oldekop, Johan A.1, Autor
Devenish, Katie1, Autor
Alencar, Lucas1, Autor
Erbaugh, James T.1, Autor
Hernández-Montilla, Mariana1, Autor
Jaiswal, Sreeja2, Autor           
Khuu, Duong T.1, Autor
Mansourian, Stephanie1, Autor
Meyfroidt, Patrick1, Autor
Nofyanza, Sandy1, Autor
Pritchard, Rose1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Schlagwörter: restoration, forest restoration, forest landscape restoration, rural development, rural poverty, global biodiversity framework, Bonn Challenge
 Zusammenfassung: Restoring forests is key to addressing the climate and biodiversity crises and can benefit forest-dependent communities. However, frequent social and ecological trade-offs between these goals pose significant challenges for forest restoration efforts. Our understanding of how to maximize positive social and ecological restoration outcomes is hindered by the absence of a social-ecological theory of forest restoration. We present a new analytical “sustainable forest transitions” framework to study the joint social and ecological outcomes of reforestation drivers. Our framework advances forest transition theory, the main existing framework for understanding reforestation drivers, by incorporating social outcomes and a wider set of ecological outcomes, paying particular attention to interactions between drivers and the sociopolitical contexts in which they operate. Advances in data availability, computing power, and causal inference methods allow our framework to be operationalized. Doing so could inform forest restoration actions that maximize benefits for climate, biodiversity, and forest-dependent communities.

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Sprache(n): eng - English
 Datum: 2025-05-162025-05-16
 Publikationsstatus: Final veröffentlicht
 Seiten: 10
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.oneear.2025.101248
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Climate Policy and Development
Research topic keyword: Forest
Research topic keyword: Biodiversity
MDB-ID: No MDB - stored outside PIK (see locators/paper)
OATYPE: Hybrid Open Access
 Art des Abschluß: -

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Titel: One Earth
Genre der Quelle: Zeitschrift, SCI, SSCI, Scopus, Scopus since 2019
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 8 (5) Artikelnummer: 101248 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/one-earth
Publisher: Elsevier
Publisher: Cell Press