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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
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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
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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
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