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        Chapter A New Method to Reconstruct Recent Tree and Stand Attributes of Temporary Research Plots: New Opportunity to Analyse Mixed Forest Stands

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        Author(s)
        Andreas Thurm, Eric
        Wellhausen, Klaas
        Pretzsch, Hans
        Perkins, Diana
        Uhl, Enno
        Heym, Michael
        Steckel, M.
        Bielak, Kamil
        Language
        English
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        Abstract
        In the last decades, studying effects of mixing tree species is increasingly important. In particular, under changing growing conditions and social requirements, investigations on mixed forest compared to mono-specific stands are of special interest, for example, stability, resilience or ecosystem services. Permanent forest research plots are a unique data source, providing the required information but being time-consuming and costly to establish. Moreover, large data sets of such plots are missing but needed for generalising any findings. Temporary research plots provide ad hoc information of its status quo and require less effort than permanent plots. Usually, such plots provide no information of the recent tree and stand characteristics. We demonstrate a new method developed under the scope of COST action FP 1206 EuMIXFOR (European Network on Mixed Forests) to estimate retrospective tree dynamics and stand characteristics. The results of validation reveal its usefulness for reconstructing 5–10 years. Thus, the method provides new potential in establishing larger networks across several countries, in particular, for studying underlying processes when comparing mono-specific with mixed forest stands.
        URI
        https://library.oapen.org/handle/20.500.12657/49279
        Keywords
        temporary research plots, mixed stands, retrospective growth analysis, increment cores, reconstruction of stand dynamics, mixing effects
        DOI
        10.5772/intechopen.79682
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2018
        Classification
        Agricultural science
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • Imported or submitted locally

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        • 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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