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        Chapter Plantation Forests: A Guarantee of Sustainable Management of Abandoned and Marginal Farmlands

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        Author(s)
        Bambe, Baiba
        Daugavietis, Uldis
        Lazdins, Andis
        Lazdina, Dagnija
        Makovskis, Kristaps
        Daugaviete, Mudrite
        Language
        English
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        Abstract
        The chapter summarises the research data on cultivating forest crops in abandoned and marginal farmlands (AL). The course of growth and productivity of different tree species in the local climatic conditions is clarified in a variety of agricultural soils. The research results show the most appropriate tree species for short-rotation or special end-use monoculture or mixed plantations, using Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst.), silver birch (Betula pendula Roth.), pedunculate oak (Quercus robur L.), grey alder (Alnus incana (L.) Moench), alder (Alnus glutinosa (L.) Gaertn.), wild cherry (Cerasus avium (L.) Moench syn. Prunus avium), aspen (Populus tremula L.), hybrid aspen (Populus tremula x tremuloides), and small-leaved lime (Tilia cordata Mill.). At the same time, research results show sustainability of management of plantation forests—positive impact on soil agrochemical properties, proportionate changes on above-ground vegetation, and improvement of economic benefits of farmlands.
        URI
        https://library.oapen.org/handle/20.500.12657/49369
        Keywords
        plantation forest, abandoned, marginal farmlands, forest tree species, soil agrochemical properties, above-ground vegetation, productivity, yield, biomass
        DOI
        10.5772/intechopen.88373
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2020
        Classification
        Engineering: general
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • 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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