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        Climate-Smart Forestry in Mountain Regions

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        Contributor(s)
        Tognetti, Roberto (editor)
        Smith, Melanie (editor)
        Panzacchi, Pietro (editor)
        Language
        English
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        Abstract
        This open access book offers a cross-sectoral reference for both managers and scientists interested in climate-smart forestry, focusing on mountain regions. It provides a comprehensive analysis on forest issues, facilitating the implementation of climate objectives. This book includes structured summaries of each chapter. Funded by the EU’s Horizon 2020 programme, CLIMO has brought together scientists and experts in continental and regional focus assessments through a cross-sectoral approach, facilitating the implementation of climate objectives. CLIMO has provided scientific analysis on issues including criteria and indicators, growth dynamics, management prescriptions, long-term perspectives, monitoring technologies, economic impacts, and governance tools.
        URI
        https://library.oapen.org/handle/20.500.12657/51968
        Keywords
        SDG 15; Climate-Smart Forestry; Open Access; CLIMO; Forestry Management; Life on Land; Tree Biology
        DOI
        10.1007/978-3-030-80767-2
        ISBN
        9783030807672, 9783030807672
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Bern, 2022
        Grantor
        • H2020 Environment - [grantnumber unknown]
        Imprint
        Springer International Publishing
        Series
        Managing Forest Ecosystems, 40
        Classification
        Forestry and silviculture
        Conservation of the environment
        Ecological science, the Biosphere
        Environmental monitoring
        Analytical chemistry
        Environmental economics
        Pages
        574
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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