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W. Daniel Kissling

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I am Associate Professor of Quantitative Biodiversity Science and head of the Biogeography & Macroecology (BIOMAC) lab at the University of Amsterdam (UvA), The Netherlands. I am embedded in the Department Theoretical and Computational Ecology (TCE) of the Institute for Biodiversity and Ecosystem Dynamics (IBED) at UvA. I am also working (one day per week) as the scientific coordinator of the Virtual Laboratory Innovation Center (LW-VLIC) of LifeWatch-ERIC, a European Research Infrastructure Consortium established by the European Commission with focus on biodiversity and ecosystem research. Besides, I am currently leading the following projects:

  • eEcoLiDAR project (eScience infrastructure for Ecological applications of LiDAR point clouds, funded by the Netherlands eScience Center) (PI)
  • NIEBA ARISE (Netherlands Infrastructure for Ecosystem and Biodiversity Analysis: Authoritative and Rapid Identification System for Essential biodiversity information, funded by the Dutch Research Council NWO under the National Roadmap Large-Scale Research Infrastructure) (project leader of UvA-IBED contribution)
  • EuropaBON ('Europa Biodiversity Observation Network: integrating data streams to support policy', coordination and support action funded by the European Commission under the Horizon 2020 - Work Programme 2018-2020
    Climate action, environment, resource efficiency and raw materials) (work package leader of 'WP4 Co-design of monitoring system')

  • Vulnerability of Arctic migratory birds to rapid climate change (funded by the Dutch Research Council NWO under the Netherlands Polar Programme policy-driven call) (Co-PI and work package leader of 'WP3: Important Arctic Bird Areas: current and future distribution')

  • Global Ecology project (funded by the Faculty of Science of the University of Amsterdam) (PI)

My main interest is in data-intensive biodiversity science, especially in the fields of macroecology, biogeography, biodiversity monitoring and global change (past, present, and future). In my work, I mostly use and compile large ecological and environmental datasets together with ecoinformatic tools to understand, quantify and predict biodiversity, functional traits and species distributions across space and time. I take advantage of recent advances in computing, data availability, numerical databasing, Geographic Information Systems (GIS), remote sensing (especially LiDAR) 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. I am also interested in the interoperability of biodiversity research infrastructures and other aspects of data science (e.g. data and metadata standards, and workflows for data integration). Please see my research pages, my publication list, or the BIOMAC lab homepage for more details.

 

 

 

Kissling et al. (2019): PalmTraits 1.0, a species-level functional trait database of palms worldwide. Scientific Data 6: 178. [ABSTRACT] [DATA]

Kissling et al. (2018): Towards global data products of Essential Biodiversity Variables on species traits. Nature Ecology & Evolution 2: 1531–1540. [ABSTRACT]