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.

Základní údaje

Originální název

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

Autoři

JIMÉNEZ ALFARO GONZÁLEZ, Francisco De Borja (724 Španělsko, domácí), Susana SUÁREZ-SEOANE, Milan CHYTRÝ (203 Česká republika, garant, domácí), Stephan M HENNEKENS (528 Nizozemské království), Wolfgang WILLNER (40 Rakousko), Michal HÁJEK (203 Česká republika, domácí), Emiliano AGRILLO (380 Itálie), Jose M ÁLVAREZ-MARTÍNEZ (724 Španělsko), Ariel BERGAMINI (756 Švýcarsko), Henry BRISSE (250 Francie), Jörg BRUNET (752 Švédsko), Laura CASELLA (380 Itálie), Daniel DÍTĚ (703 Slovensko), Xavier FONT (724 Španělsko), François GILLET (250 Francie), Petra HÁJKOVÁ (203 Česká republika, domácí), Florian JANSEN (276 Německo), Ute JANDT (276 Německo), Zygmunt KĄCKI (616 Polsko), Jonathan LENOIR (250 Francie), John S. RODWELL (826 Velká Británie a Severní Irsko), Joop H. J. SCHAMINÉE (528 Nizozemské království), Lucia SEKULOVÁ (703 Slovensko, domácí), Jozef ŠIBÍK (703 Slovensko), Željko ŠKVORC (191 Chorvatsko) a Ioannis TSIRIPIDIS (300 Řecko)

Vydání

Diversity and Distributions, Wiley, 2018, 1366-9516

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10611 Plant sciences, botany

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

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

Impakt faktor

Impact factor: 4.092

Kód RIV

RIV/00216224:14310/18:00101496

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000435934800010

Klíčová slova anglicky

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

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 23. 4. 2024 13:00, Mgr. Michal Petr

Anotace

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.

Návaznosti

GB14-36079G, projekt VaV

Název: Centrum analýzy a syntézy rostlinné diverzity (PLADIAS) (Akronym: PLADIAS)

Investor: Grantová agentura ČR, Centrum analýzy a syntézy rostlinné diverzity

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 a Ioannis TSIRIPIDIS. Modelling the distribution and compositional variation of plant communities at the continental scale. Diversity and Distributions. Wiley, 2018, roč. 24, č. 7, s. 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 a Ioannis TSIRIPIDIS. Modelling the distribution and compositional variation of plant communities at the continental scale. \textit{Diversity and Distributions}. Wiley, 2018, roč.~24, č.~7, s.~978-990. ISSN~1366-9516.

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