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

Borja Jiménez-Alfaro*, 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 LenoirJohn S. Rodwell, Joop H.J. Schaminée, Lucia Sekulová, Jozef Šibík, Željko Škvorc, Ioannis Tsiripidis

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)978-990
JournalDiversity and Distributions
Volume24
Issue number7
DOIs
Publication statusPublished - Jul 2018

Keywords

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

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    Jiménez-Alfaro, B., Suárez-Seoane, S., Chytrý, M., Hennekens, S. M., Willner, W., Hájek, M., Agrillo, E., Álvarez-Martínez, J. M., Bergamini, A., Brisse, H., Brunet, J., Casella, L., Dítě, D., Font, X., Gillet, F., Hájková, P., Jansen, F., Jandt, U., Kącki, Z., ... Tsiripidis, I. (2018). Modelling the distribution and compositional variation of plant communities at the continental scale. Diversity and Distributions, 24(7), 978-990. https://doi.org/10.1111/ddi.12736