Modelling the distribution and compositional variation of plant communities at the continental scale

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F18%3A00101496" target="_blank" >RIV/00216224:14310/18:00101496 - isvavai.cz</a>

Result on the web

<a href="https://dx.doi.org/10.1111/ddi.12736" target="_blank" >https://dx.doi.org/10.1111/ddi.12736</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Modelling the distribution and compositional variation of plant communities at the continental scale

Original language description

Aim: We investigate whether (1) environmental predictors allow to delineate the distribution of discrete community types at the continental scale and (2) how data completeness influences model generalization in relation to the compositional variation of the modelled entities. - Location: Europe. - Methods: 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. - Results: For the two community types, CDMs computed for the whole study area provided good performance when evaluated by random cross-validation and external validation. Geographical transferability provided lower but relatively good performance, while model extrapolation performed poorly when compared with interpolation. Generalized dissimilarity modelling showed a predominant effect of geographical distance on compositional variation, complemented with the environmental predictors that also influenced habitat suitability. - Main conclusions: Correlative approaches typically used for modelling the distribution of individual species are also useful for delineating the potential area of occupancy of community types at the continental scale, when using consistent definitions of the modelled entity and high data completeness. The combination of CDMs with GDM further improves the understanding of diversity patterns of plant communities, providing spatially explicit information for mapping vegetation diversity and related habitat types at large scales.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10611 - Plant sciences, botany

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)

Publication year

2018

Confidentiality

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

Name of the periodical

Diversity and Distributions

ISSN

1366-9516

e-ISSN

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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