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W. Daniel Kissling

I am an Associate Professor of Quantitative Biodiversity Science at the University of Amsterdam, The Netherlands. My main research interest is in biodiversity, macroecology, biogeography, macroevolution, biotic interactions and global change (past, present, and future). I mostly use an ecoinformatics approach to understand and predict biodiversity patterns across space and time. More specifically, I take advantage of recent advances in computing, data availability, numerical databasing, Geographic Information Systems (GIS), remote sensing, phylogenies and statistical modelling to (1) better understand the broad-scale distribution of life on Earth, and (2) address how biodiversity changes under past, present and future global change.

 

At the University of Amsterdam, I am leading the Biogeography & Macroecology (BIOMAC) lab within the Department Theoretical and Computational Ecology (TCE) of the Institute for Biodiversity and Ecosystem Dynamics (IBED). Moreover, I am the scientific coordinator & PI of the Horizon 2020 project GLOBIS-B (global infrastructures for supporting biodiversity research, funded by the European Commission), the project eEcoLiDAR (eScience infrastructure for Ecological applications of LiDAR point clouds, funded by the Netherlands eScience Center), and the frugivory & palm diversification project (funded by the Dutch Science Foundation NWO). I am also contributing to GEO BON (the Group on Earth Observations Biodiversity Observation Network) as a co-leader of the Data Task Force and as a member of the Implementation Committee. Finally, I am a handling editor for two great journals: Ecography and Journal of Biogeography.

 

 

 

 

Google Scholar Citations

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Recent publications

Onstein et al. (2017): Frugivory-related traits promote speciation of tropical palms. Nature Ecology & Evolution in press. [ABSTRACT]

Kissling et al. (2017): Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biological Reviews in press. [ABSTRACT]