Olivier Broennimann

Summary

Affiliation: University of Lausanne
Country: Switzerland

Publications

  1. ncbi Predicting current and future biological invasions: both native and invaded ranges matter
    Olivier Broennimann
    Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
    Biol Lett 4:585-9. 2008
  2. ncbi Niche dynamics in space and time
    Peter B Pearman
    University of Lausanne, Department of Ecology and Evolution, Lausanne, Switzerland
    Trends Ecol Evol 23:149-58. 2008
  3. ncbi Climatic niche shifts are rare among terrestrial plant invaders
    Blaise Petitpierre
    Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
    Science 335:1344-8. 2012
  4. ncbi Using niche-based models to improve the sampling of rare species
    Antoine Guisan
    University of Lausanne, Department of Ecology and Evolution, Laboratory for Conservation Biology, Biology Building, CH 1015 Lausanne, Switzerland
    Conserv Biol 20:501-11. 2006
  5. ncbi Dispersal routes reconstruction and the minimum cost arborescence problem
    Wim Hordijk
    University of Lausanne, Department of Ecology and Evolution, 1015 Lausanne, Switzerland
    J Theor Biol 308:115-22. 2012
  6. ncbi Spatial predictions of phylogenetic diversity in conservation decision making
    Dorothea V Pio
    Department of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland
    Conserv Biol 25:1229-39. 2011
  7. ncbi Prediction of plant species distributions across six millennia
    Peter B Pearman
    Department of Ecology and Evolution, University of Lausanne Biophore, CH 1015 Lausanne, Switzerland
    Ecol Lett 11:357-69. 2008

Collaborators

Detail Information

Publications7

  1. ncbi Predicting current and future biological invasions: both native and invaded ranges matter
    Olivier Broennimann
    Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
    Biol Lett 4:585-9. 2008
    ..Projections from the pooled models show fewer areas of intermediate climatic suitability than projections from the native or invaded range models, suggesting a better consensus among modelling techniques and reduced uncertainty...
  2. ncbi Niche dynamics in space and time
    Peter B Pearman
    University of Lausanne, Department of Ecology and Evolution, Lausanne, Switzerland
    Trends Ecol Evol 23:149-58. 2008
    ..This will improve confidence in SDM-based predictions of the impacts of climate change and species invasions on species distributions and biodiversity...
  3. ncbi Climatic niche shifts are rare among terrestrial plant invaders
    Blaise Petitpierre
    Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
    Science 335:1344-8. 2012
    ....
  4. ncbi Using niche-based models to improve the sampling of rare species
    Antoine Guisan
    University of Lausanne, Department of Ecology and Evolution, Laboratory for Conservation Biology, Biology Building, CH 1015 Lausanne, Switzerland
    Conserv Biol 20:501-11. 2006
    ..8 to 4 times, depending on the measure) over simple random sampling. In terms of cost this approach may save up to 70% of the time spent in the field...
  5. ncbi Dispersal routes reconstruction and the minimum cost arborescence problem
    Wim Hordijk
    University of Lausanne, Department of Ecology and Evolution, 1015 Lausanne, Switzerland
    J Theor Biol 308:115-22. 2012
    ..We propose that our computational method can be used to define the most parsimonious dispersal (or invasion) scenarios, which can then be tested using complementary methods such as genetic analysis...
  6. ncbi Spatial predictions of phylogenetic diversity in conservation decision making
    Dorothea V Pio
    Department of Ecology and Evolution, Biophore, University of Lausanne, 1015 Lausanne, Switzerland
    Conserv Biol 25:1229-39. 2011
    ....
  7. ncbi Prediction of plant species distributions across six millennia
    Peter B Pearman
    Department of Ecology and Evolution, University of Lausanne Biophore, CH 1015 Lausanne, Switzerland
    Ecol Lett 11:357-69. 2008
    ..Confidence in predictions of the impacts of climate change could be improved by selecting species with characteristics that suggest little change is expected in the relationships between species occurrence and climate patterns...