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Spatially explicit, quantitative reconstruction of past vegetation based on pollen or charcoal data as a tool for autecology of trees

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389005%3A_____%2F23%3A00571836" target="_blank" >RIV/61389005:_____/23:00571836 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985939:_____/23:00571836 RIV/00216208:11310/23:10467921 RIV/00216208:11620/23:10467921

  • Result on the web

    <a href="https://doi.org/10.1007/s10980-023-01652-8" target="_blank" >https://doi.org/10.1007/s10980-023-01652-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10980-023-01652-8" target="_blank" >10.1007/s10980-023-01652-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spatially explicit, quantitative reconstruction of past vegetation based on pollen or charcoal data as a tool for autecology of trees

  • Original language description

    ContextThe determination of autecological preferences based on long-term vegetation dynamics is hampered by the lack of realistic estimates for past occurrence and abundance patterns. Palaeoecological record has still rather character of points than spatially continuous maps.ObjectivesTo infer long-term autecological preferences of trees from reconstructed vegetation. Compare reconstructions based on pollen and charcoals.MethodsWe employed to the regional training set of 58 sites the Extended Downscaling Approach (EDA) using nine topographic factors clustered in 8 habitat classes, data on pollen productivity estimates, fossil pollen, charcoal sequences from soil and archaeological contexts. Based on abundances and habitat preferences from the last 9 millennia, we calculated the autecological preferences of tree taxa, using multivariate statistics.ResultsThe significant spatiotemporal patterns between soil-charcoal and pollen-based EDA validated the reconstruction, the use of both records in the EDA, and the EDA model. One of the topographic indices-vertical distance to channel network-evidenced the following: the closest taxon to the groundwater is Picea, Abies, Betula, Pinus and Quercus have intermediate distances. Fagus grows far from the channel network and Corylus even further.ConclusionsThe EDA model linked past forest composition to realistic topography. Such a spatially explicit reconstruction produced by our new algorithm allows inferring the relationship between past plant communities and environmental variables. The long-term preferences of tree species to habitat characteristics match their current autecological demands. This might be a breakthrough in quantitative plant paleoecology.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Landscape Ecology

  • ISSN

    0921-2973

  • e-ISSN

    1572-9761

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    1747-1763

  • UT code for WoS article

    000969161900001

  • EID of the result in the Scopus database

    2-s2.0-85152579592