Modelling the distribution and compositional variation of plant communities at continental scale
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F18%3A00492850" target="_blank" >RIV/67985939:_____/18:00492850 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/ddi.12736" target="_blank" >http://dx.doi.org/10.1111/ddi.12736</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/ddi.12736" target="_blank" >10.1111/ddi.12736</a>
Alternative languages
Result language
angličtina
Original language name
Modelling the distribution and compositional variation of plant communities at continental scale
Original language description
We investigate whether environmental predictors allow to delineate the distribution of discrete community types at the continental scale and how data completeness influences model generalization in relation to the compositional variation of the modelled entities. We used comprehensive datasets of two community types of conservation concern in Europe: acidophilous beech forests and base-rich fens. We computed community distribution models (CDMs) calibrated with environmental predictors to predict the occurrence of both community types, evaluating geographical transferability, interpolation and extrapolation under different scenarios of sampling bias. We used generalized dissimilarity modelling (GDM) to assess the role of geographical and environmental drivers in compositional variation within the predicted distributions.
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
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/GB14-36079G" target="_blank" >GB14-36079G: Plant diversity analysis and synthesis centre (PLADIAS)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Diversity and Distributions
ISSN
1366-9516
e-ISSN
—
Volume of the periodical
24
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
13
Pages from-to
978-990
UT code for WoS article
000435934800010
EID of the result in the Scopus database
2-s2.0-85048300217