|DOI / URL
||Relating geographical variation in pollination types to environmental and spatial factors using novel statistical methods
||Kühn, I.; Bierman, S.M.; Durka, W.; Klotz, S.;
|Journal / Serie
|| Bayesian methods; central Europe; compositional data; environmental correlates; plant functional types; pollination types; spatial autocorrelation
frequencies of functional traits of plant species show notable spatial
variation, which is often related to environmental factors. Pollination
type (insect-, wind- or self-pollination) is a critical trait for plant
reproduction and provision of ecosystem services.
we mapped the distribution of pollination types across Germany by
combining databases on plant distribution and plant pollination types.
Applying a new method, we modelled the composition of pollination types
using a set of 12 environmental variables as predictors within a
Bayesian framework which allows for the analysis of compositional data
in the presence of spatial autocorrelation.
clear biogeographical pattern in the distribution of pollination types
was revealed which was adequately captured by our model. The most
striking relationship was a relative increase in insect-pollination and a
corresponding decrease of selfing with increasing altitude. Further
important factors were wind speed, geology and land use.
present a powerful tool to analyse the distribution patterns of plant
functional types such as pollination types and their relationship with
environmental parameters in a spatially explicit framework.
|Kühn, I., Bierman, S.M., Durka, W., Klotz, S. (2006):
Relating geographical variation in pollination types to environmental and spatial factors using novel statistical methods
New Phytol. 172 (1), 127 - 139