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    Spatial classification of moisture-sensitive pine and larch tree-ring chronologies within Khakass–Minusinsk Depression, South Siberia

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    Belokopytova&Meko2021.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Belokopytova, L. V.
    Meko, D. M.
    Zhirnova, D. F.
    Babushkina, E. A.
    Vaganov, E. A.
    Affiliation
    Laboratory of Tree-Ring Research, University of Arizona
    Issue Date
    2021-08-12
    Keywords
    Climate–growth relationship
    Dendrochronology
    Moisture-sensitive ecosystem
    Spatial cluster analysis
    
    Metadata
    Show full item record
    Publisher
    Springer Science and Business Media LLC
    Citation
    Belokopytova, L. V., Meko, D. M., Zhirnova, D. F., Babushkina, E. A., & Vaganov, E. A. (2021). Spatial classification of moisture-sensitive pine and larch tree-ring chronologies within Khakass–Minusinsk Depression, South Siberia. Trees - Structure and Function.
    Journal
    Trees - Structure and Function
    Rights
    © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Key message: Growth patterns of Scots pine and Siberian larch under water deficit across an intermontane valley in South Siberia depend not only on landscape physiography but on species-specific climatic sensitivity and phenology. Abstract: The wide intermountain Khakass–Minusinsk Depression (KhMD) in southern Siberia presents an ideal setting for studying the potential impacts of a warming climate on forest ecosystems. The Centre of Continental Asia has one of the most intense rates of warming in the Northern Hemisphere, and the KhMD has multiple tree species of proven dendroclimatic value growing in drought-stressed environments. Investigation was aimed at spatial patterns of tree growth and its climate response across the KhMD for two main conifer species of moisture-deficient habitats, Scots pine (Pinus sylvestris L.) and Siberian larch (Larix sibirica Ledeb.). Correlation and cluster analysis were applied to a recently developed network of 15 tree-ring chronologies. Hierarchical classifications were based on the inter-chronology correlation matrix and on correlations of chronologies with monthly climate variables. Results underscore the general influence of hot-dry conditions on reducing growth and suggest a spatial grouping of chronologies governed by physiography and modified by species-dependent ecophysiological response to climate. Both applied classifications agree on the designation of geographically oriented clusters. A purely geographic grouping is broken, however, by species-specific climate dependence and phenology in deciduous Larix and evergreen Pinus. A differential ability to utilize melting snowpack in spring is advanced as a possible explanation for chronologies abandoning physiographically defined clusters. Such inter-species heterogeneity can manifest itself in the intensity of the climate change impact on vegetation, and lead to prospects of significant species composition changes in ecosystems.
    Note
    12 month embargo; published: 12 August 2021
    ISSN
    0931-1890
    EISSN
    1432-2285
    DOI
    10.1007/s00468-021-02196-7
    Version
    Final accepted manuscript
    Sponsors
    Ministry of Science and Higher Education
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00468-021-02196-7
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    UA Faculty Publications

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