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Predicting species? maximum dispersal distances from simple plant traits

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F14%3A00433908" target="_blank" >RIV/67985939:_____/14:00433908 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1890/13-1000.1" target="_blank" >http://dx.doi.org/10.1890/13-1000.1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1890/13-1000.1" target="_blank" >10.1890/13-1000.1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predicting species? maximum dispersal distances from simple plant traits

  • Original language description

    We provide a function (dispeRsal) to be run in the software package R. This enables researchers to estimate maximum dispersal distances with confidence intervals for plant species using measured traits as predictors. Easily obtainable trait data, such asdispersal syndrome (inferred from seed morphology) and growth form, enable predictions to be made for a large number of species.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ecology

  • ISSN

    0012-9658

  • e-ISSN

  • Volume of the periodical

    95

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    505-513

  • UT code for WoS article

    000331429500024

  • EID of the result in the Scopus database