R
Ralf Ohlemüller
Researcher at University of York
Publications - 4
Citations - 3156
Ralf Ohlemüller is an academic researcher from University of York. The author has contributed to research in topics: Species richness & Pollinator. The author has an hindex of 4, co-authored 4 publications receiving 2777 citations.
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Journal ArticleDOI
Parallel Declines in Pollinators and Insect-Pollinated Plants in Britain and the Netherlands
Jacobus C. Biesmeijer,Stuart P. M. Roberts,Menno Reemer,Ralf Ohlemüller,Michael Edwards,T.M.J. Peeters,T.M.J. Peeters,A. P. Schaffers,Simon G. Potts,R.M.J.C. Kleukers,Chris D. Thomas,Josef Settele,William E. Kunin +12 more
TL;DR: Evidence of declines (pre-versus post-1980) in local bee diversity in Britain and the Netherlands is found and a causal connection between local extinctions of functionally linked plant and pollinator species is strongly suggested.
Journal ArticleDOI
Direct and indirect effects of climate and habitat factors on butterfly diversity
Rosa Menéndez,Adela González-Megías,Yvonne C. Collingham,Richard Fox,David B. Roy,Ralf Ohlemüller,Chris D. Thomas +6 more
TL;DR: Investigation of direct and indirect effects of climate variables, host-plant richness, and habitat diversity on butterfly species richness across Britain suggests that different mechanistic hypotheses to explain species richness may be more appropriate for habitat generalists and specialists.
Journal ArticleDOI
Quantifying components of risk for European woody species under climate change
TL;DR: In this paper, the authors used bioclimatic models of 17 representative European woody species and suggested additional measures based on (a) the distance between presently occupied areas and areas predicted to be climatically suitable in the future and (b) the degree of change in climatic suitability in presently occupied and unoccupied locations.
Journal ArticleDOI
Towards European climate risk surfaces: the extent and distribution of analogous and non-analogous climates 1931–2100
TL;DR: In this article, the authors assess different aspects of risk arising from future climate change by quantifying changes in the spatial distribution of future climatic conditions compared with the recent past Location Europe, where a 10' x 10' resolution gridded data set of five climate variables was used to calculate expected changes to the area, distance and direction of 1931-60 climate conditions under the HadCM3 climate model.