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Dominance and rarity in tree communities across the globe: Patterns, predictors and threats

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F24%3A00602488" target="_blank" >RIV/60077344:_____/24:00602488 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985939:_____/24:00602488 RIV/86652079:_____/24:00602488 RIV/60460709:41320/24:100432 RIV/60076658:12310/24:43908699

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/geb.13889" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/geb.13889</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/geb.13889" target="_blank" >10.1111/geb.13889</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dominance and rarity in tree communities across the globe: Patterns, predictors and threats

  • Original language description

    AimEcological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species?LocationGlobal.Time period1990-2017.Major taxa studiedTrees.MethodsWe used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated.ResultsCommunity dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation.Main conclusionsBy linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.

  • 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

    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

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Global Ecology and Biogeography

  • ISSN

    1466-822X

  • e-ISSN

    1466-8238

  • Volume of the periodical

    33

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    21

  • Pages from-to

    e13889

  • UT code for WoS article

    001270290100001

  • EID of the result in the Scopus database

    2-s2.0-85198729556