Niklaus E. Zimmermann

Research interests

Publications

• Global climate-related predictors at kilometer resolution for the past and future

  Earth system science data · 2022 · https://doi.org/10.5194/essd-14-5573-2022

• A standard protocol for reporting species distribution models

  Ecography · 2020 · https://doi.org/10.1111/ecog.04960

• Standards for distribution models in biodiversity assessments

  Science Advances · 2019 · https://doi.org/10.1126/sciadv.aat4858

• A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

  Ecological Monographs · 2019 · https://doi.org/10.1002/ecm.1370

• Model complexity affects species distribution projections under climate change

  Journal of Biogeography · 2019 · https://doi.org/10.1111/jbi.13734

• Present and future Köppen-Geiger climate classification maps at 1-km resolution

  Scientific Data · 2018 · https://doi.org/10.1038/sdata.2018.214

• Accelerated increase in plant species richness on mountain summits is linked to warming

  Nature · 2018 · https://doi.org/10.1038/s41586-018-0005-6

• Comparing species interaction networks along environmental gradients

  Biological reviews/Biological reviews of the Cambridge Philosophical Society · 2017 · https://doi.org/10.1111/brv.12366

• Climatologies at high resolution for the earth’s land surface areas

  Zurich Open Repository and Archive (University of Zurich) · 2017 · https://doi.org/10.5167/uzh-139381

• Habitat Suitability and Distribution Models

  Cambridge University Press eBooks · 2017 · 10.1017/9781139028271

• Allometric equations for integrating remote sensing imagery into forest monitoring programmes

  Global Change Biology · 2016 · https://doi.org/10.1111/gcb.13388

• Plant functional traits have globally consistent effects on competition

  Nature · 2015 · 10.1038/nature16476

• What do we gain from simplicity versus complexity in species distribution models?

  Ecography · 2014 · https://doi.org/10.1111/ecog.00845

• Extinction debt of high-mountain plants under twenty-first-century climate change

  Nature Climate Change · 2012 · 10.1038/nclimate1514

• How to understand species’ niches and range dynamics: a demographic research agenda for biogeography

  Journal of Biogeography · 2012 · https://doi.org/10.1111/j.1365-2699.2012.02737.x

• Building the niche through time: using 13,000 years of data to predict the effects of climate change on three tree species in Europe

  Global Ecology and Biogeography · 2012 · https://doi.org/10.1111/j.1466-8238.2012.00767.x

• Measuring ecological niche overlap from occurrence and spatial environmental data

  Global Ecology and Biogeography · 2011 · https://doi.org/10.1111/j.1466-8238.2011.00698.x

• 21st century climate change threatens mountain flora unequally across Europe

  Global Change Biology · 2010 · https://doi.org/10.1111/j.1365-2486.2010.02393.x

• Climate change and plant distribution: local models predict high‐elevation persistence

  Global Change Biology · 2009 · https://doi.org/10.1111/j.1365-2486.2008.01766.x

• Predicting global change impacts on plant species’ distributions: Future challenges

  Perspectives in Plant Ecology Evolution and Systematics · 2007 · 10.1016/j.ppees.2007.09.004

• Tree line shifts in the Swiss Alps: Climate change or land abandonment?

  Journal of Vegetation Science · 2007 · https://doi.org/10.1111/j.1654-1103.2007.tb02571.x

• Using Niche‐Based Models to Improve the Sampling of Rare Species

  Conservation Biology · 2006 · https://doi.org/10.1111/j.1523-1739.2006.00354.x

• Novel methods improve prediction of species’ distributions from occurrence data

  Ecography · 2006 · https://doi.org/10.1111/j.2006.0906-7590.04596.x

• Are niche‐based species distribution models transferable in space?

  Journal of Biogeography · 2006 · https://doi.org/10.1111/j.1365-2699.2006.01466.x

• Predictive habitat distribution models in ecology

  Ecological Modelling · 2000 · https://doi.org/10.1016/s0304-3800(00)00354-9

Current projects

No projects listed.