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W. Daniel Kissling

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I am an Associate Professor of biodiversity with research interests in macroecology, ecoinformatics, biodiversity monitoring, and global change. I am working at the Institute for Biodiversity and Ecosystem Dynamics (IBED) of the University of Amsterdam (UvA), The Netherlands, where I lead the Biogeography & Macroecology (BIOMAC) lab which is embedded in the Department Theoretical and Computational Ecology (TCE). I am also the scientific coordinator of the Virtual Laboratory & Innovation Center (LW-VLIC) of LifeWatch-ERIC in which we develop together with informaticians and computer scientists the workflows and eScience tools needed to process satellite and airborne remote sensing data for applications in biodiversity and ecosystem research. Additionally, I am leading several tasks and work packages in various national and international, multi-institutional and multi-disciplinary projects, including the biodiversity monitoring demonstration sites in the Netherlands (NIEBA ARISE), the co-design of monitoring workflows for the future EU-wide biodiversity observation network (EuropaBON), the automation of workflows for generating LiDAR metrics for habitat condition indicators in Natura2000 sites (MAMBO), and the modelling of important Arctic bird areas under climate change (NPP project from NWO).

In my work, I mostly use and compile large ecological and environmental datasets together with ecoinformatic tools to understand, map, model and predict species distributions, trophic interactions, functional traits, ecosystem structure and animal habitats across space and time. I take advantage of recent advances in computing, big data availability, digital sensors, LiDAR, satellite remote sensing and statistical modelling to (1) better understand the broad-scale distribution of life on Earth, and (2) address how biodiversity is changing under past, present and future global change. I am further interested in biodiversity monitoring, the development of virtual research environments (VREs), and in the application of eScience and artificial intelligence (AI) for biodiversity research. I also work on aspects of data science, especially on biodiversity data integration, automation of data streams, high-throughput processing workflows, and the use of remote sensing and digital sensors to measure and monitor biodiversity change. Please see my research pages, my publication list, or the BIOMAC lab homepage for more details.

 

 

Selected papers:

Allan et al. (2022): The minimum land area requiring conservation attention to safeguard biodiversity. Science 376: 1094–1101. [ABSTRACT] [PERSPECTIVE] [PRESS RELEASE]

Pereira et al. (2022): Europa Biodiversity Observation Network: integrating data streams to support policy. ARPHA Preprints 3. [ABSTRACT]

Skidmore et al. (2021): Priority list of biodiversity metrics to observe from space. Nature Ecology and Evolution 5: 896–906. [ABSTRACT] [PRESS RELEASE]