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Holocene matters: Landscape history accounts for current species richness of vascular plants in forests and grasslands of eastern Central Europe

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F20%3A00114079" target="_blank" >RIV/00216224:14310/20:00114079 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985939:_____/20:00542688

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/jbi.13787" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/jbi.13787</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/jbi.13787" target="_blank" >10.1111/jbi.13787</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Holocene matters: Landscape history accounts for current species richness of vascular plants in forests and grasslands of eastern Central Europe

  • Original language description

    Current species-richness patterns are sometimes interpreted as a legacy of landscape history, but historical processes shaping the distribution of species during the Holocene are frequently omitted in biodiversity models. Here, we test their importance in modelling current species richness of vascular plants in forest and grassland vegetation. Location Western Carpathians and adjacent regions. Vascular plants. Numbers of all species and of habitat specialists were extracted from plot records of forest and grassland vegetation. For each plot, environmental and historical data were derived from thematic maps. Historical data related to the persistence of (a) temperate taxa during the Late Glacial and Early Holocene, (b) open-landscape taxa during the Middle Holocene and (c) taiga taxa during the Late Holocene were based on 112 fossil pollen profiles. Boosted regression trees were used to model spatial patterns in species richness. Historical variables always appeared among the best predictors of current species richness. In light forests, species richness highly mirrored both the Late Glacial (12.5% contribution) and Middle-Holocene (8.6%) landscape history. The latter factor became an important predictor also for species richness of steppe grasslands (8.3%) along with temperature seasonality (11.9%). Species richness of dark coniferous forests was best predicted by the Late-Holocene occurrence of taiga forests (14.8%), which had an even stronger effect on the richness of habitat specialists (20.5%). Landscape changes since the Last Glacial Maximum are important predictors of current plant species richness. The historical effects were found to be habitat specific and, because they may interact with recent environmental conditions and anthropogenic pressures, they often show a nonlinear relationship with species richness. We provide one possible direction of incorporating past landscape changes to the models of species richness.

  • 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

    10618 - Ecology

Result continuities

  • Project

    <a href="/en/project/GA17-05696S" target="_blank" >GA17-05696S: Holocene development of temperate European biota: effects of climate, refugia and local factors tested by complex datasets of independent proxies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Biogeography

  • ISSN

    0305-0270

  • e-ISSN

    1365-2699

  • Volume of the periodical

    47

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    721-735

  • UT code for WoS article

    000508679900001

  • EID of the result in the Scopus database

    2-s2.0-85078787658