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

J 2018

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

JIMÉNEZ ALFARO GONZÁLEZ, Francisco De Borja, Susana SUÁREZ-SEOANE, Milan CHYTRÝ, Stephan M HENNEKENS, Wolfgang WILLNER et. al.

Basic information

Original name

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

Authors

JIMÉNEZ ALFARO GONZÁLEZ, Francisco De Borja (724 Spain, belonging to the institution), Susana SUÁREZ-SEOANE, Milan CHYTRÝ (203 Czech Republic, guarantor, belonging to the institution), Stephan M HENNEKENS (528 Netherlands), Wolfgang WILLNER (40 Austria), Michal HÁJEK (203 Czech Republic, belonging to the institution), Emiliano AGRILLO (380 Italy), Jose M ÁLVAREZ-MARTÍNEZ (724 Spain), Ariel BERGAMINI (756 Switzerland), Henry BRISSE (250 France), Jörg BRUNET (752 Sweden), Laura CASELLA (380 Italy), Daniel DÍTĚ (703 Slovakia), Xavier FONT (724 Spain), François GILLET (250 France), Petra HÁJKOVÁ (203 Czech Republic, belonging to the institution), Florian JANSEN (276 Germany), Ute JANDT (276 Germany), Zygmunt KĄCKI (616 Poland), Jonathan LENOIR (250 France), John S. RODWELL (826 United Kingdom of Great Britain and Northern Ireland), Joop H. J. SCHAMINÉE (528 Netherlands), Lucia SEKULOVÁ (703 Slovakia, belonging to the institution), Jozef ŠIBÍK (703 Slovakia), Željko ŠKVORC (191 Croatia) and Ioannis TSIRIPIDIS (300 Greece)

Edition

Diversity and Distributions, Wiley, 2018, 1366-9516

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10611 Plant sciences, botany

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

https://dx.doi.org/10.1111/ddi.12736

Impact factor

Impact factor: 4.092

RIV identification code

RIV/00216224:14310/18:00101496

Organization unit

Faculty of Science

UT WoS

000435934800010

Keywords in English

community distribution models; ecosystem properties; extent of occurrence; generalized dissimilarity modelling; habitat conservation; plant communities; vegetation

Abstract

V originále

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.

Links

GB14-36079G, research and development project

Name: Centrum analýzy a syntézy rostlinné diverzity (PLADIAS) (Acronym: PLADIAS)

Investor: Czech Science Foundation

Citovat

JIMÉNEZ ALFARO GONZÁLEZ, Francisco De Borja, Susana SUÁREZ-SEOANE, Milan CHYTRÝ, Stephan M HENNEKENS, Wolfgang WILLNER, Michal HÁJEK, Emiliano AGRILLO, Jose M ÁLVAREZ-MARTÍNEZ, Ariel BERGAMINI, Henry BRISSE, Jörg BRUNET, Laura CASELLA, Daniel DÍTĚ, Xavier FONT, François GILLET, Petra HÁJKOVÁ, Florian JANSEN, Ute JANDT, Zygmunt KĄCKI, Jonathan LENOIR, John S. RODWELL, Joop H. J. SCHAMINÉE, Lucia SEKULOVÁ, Jozef ŠIBÍK, Željko ŠKVORC and Ioannis TSIRIPIDIS. Modelling the distribution and compositional variation of plant communities at the continental scale. Diversity and Distributions. Wiley, 2018, vol. 24, No 7, p. 978-990. ISSN 1366-9516.

@article{1482982,
   author = {Jiménez Alfaro González, Francisco De Borja and SuárezandSeoane, Susana and Chytrý, Milan and Hennekens, Stephan M and Willner, Wolfgang and Hájek, Michal and Agrillo, Emiliano and ÁlvarezandMartínez, Jose M and Bergamini, Ariel and Brisse, Henry and Brunet, Jörg and Casella, Laura and Dítě, Daniel and Font, Xavier and Gillet, François and Hájková, Petra and Jansen, Florian and Jandt, Ute and Kącki, Zygmunt and Lenoir, Jonathan and Rodwell, John S. and Schaminée, Joop H. J. and Sekulová, Lucia and Šibík, Jozef and Škvorc, Željko and Tsiripidis, Ioannis},
   article_number = {7},
   keywords = {community distribution models; ecosystem properties; extent of occurrence; generalized dissimilarity modelling; habitat conservation; plant communities; vegetation},
   language = {eng},
   issn = {1366-9516},
   journal = {Diversity and Distributions},
   title = {Modelling the distribution and compositional variation of plant communities at the continental scale},
   url = {https://dx.doi.org/10.1111/ddi.12736},
   volume = {24},
   year = {2018}
}

TY  - JOUR
ID  - 1482982
AU  - Jiménez Alfaro González, Francisco De Borja - Suárez-Seoane, Susana - Chytrý, Milan - Hennekens, Stephan M - Willner, Wolfgang - Hájek, Michal - Agrillo, Emiliano - Álvarez-Martínez, Jose M - Bergamini, Ariel - Brisse, Henry - Brunet, Jörg - Casella, Laura - Dítě, Daniel - Font, Xavier - Gillet, François - Hájková, Petra - Jansen, Florian - Jandt, Ute - Kącki, Zygmunt - Lenoir, Jonathan - Rodwell, John S. - Schaminée, Joop H. J. - Sekulová, Lucia - Šibík, Jozef - Škvorc, Željko - Tsiripidis, Ioannis
PY  - 2018
TI  - Modelling the distribution and compositional variation of plant communities at the continental scale
JF  - Diversity and Distributions
VL  - 24
IS  - 7
SP  - 978-990
EP  - 978-990
PB  - Wiley
SN  - 13669516
KW  - community distribution models
KW  - ecosystem properties
KW  - extent of occurrence
KW  - generalized dissimilarity modelling
KW  - habitat conservation
KW  - plant communities
KW  - vegetation
UR  - https://dx.doi.org/10.1111/ddi.12736
N2  - 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.
ER  -

JIMÉNEZ ALFARO GONZÁLEZ, Francisco De Borja, Susana SUÁREZ-SEOANE, Milan CHYTRÝ, Stephan M HENNEKENS, Wolfgang WILLNER, Michal HÁJEK, Emiliano AGRILLO, Jose M ÁLVAREZ-MARTÍNEZ, Ariel BERGAMINI, Henry BRISSE, Jörg BRUNET, Laura CASELLA, Daniel DÍTĚ, Xavier FONT, Fran$\backslash$c cois GILLET, Petra HÁJKOVÁ, Florian JANSEN, Ute JANDT, Zygmunt KĄCKI, Jonathan LENOIR, John S. RODWELL, Joop H. J. SCHAMINÉE, Lucia SEKULOVÁ, Jozef ŠIBÍK, Željko ŠKVORC and Ioannis TSIRIPIDIS. Modelling the distribution and compositional variation of plant communities at the continental scale. \textit{Diversity and Distributions}. Wiley, 2018, vol.~24, No~7, p.~978-990. ISSN~1366-9516.

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