W. Daniel Kissling
Scholar

W. Daniel Kissling

Google Scholar ID: GMdt6sEAAAAJ
Associate Professor of Quantitative Biodiversity Science, University of Amsterdam
ecologybiodiversityremote sensingglobal change
Citations & Impact
All-time
Citations
13,474
 
H-index
53
 
i10-index
132
 
Publications
20
 
Co-authors
50
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
  • Leads multiple national and international, multi-institutional, multidisciplinary projects, including:
  • TABMON – analysis of bioacoustic monitoring data
  • MAMBO – development of workflows to derive habitat condition indicators from airborne LiDAR data
  • LTER-LIFE – mobilization, integration, and FAIRification of geospatial and ecological data for Digital Twins of ecosystems
  • Contributed to EU-funded projects (e.g., EuropaBON, GLOBIS-B, Biodiversa+ pilot ABMS)
  • Involved in Dutch Research Council-supported national initiatives (e.g., eEcoLiDAR, Frugivory & palm diversification, ARISE, Arctic migratory birds)
Background
  • Ecologist specializing in biodiversity and ecosystem science
  • Currently Associate Professor of Quantitative Biodiversity at the Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, The Netherlands
  • Leads the Biodiversity & Macroecology (BIOMAC) lab within the Department of Theoretical and Computational Ecology (TCE)
  • Research bridges ecology with remote sensing, informatics, geospatial data science, computer vision, conservation management, and environmental policy
  • Focuses on monitoring biodiversity and ecosystem dynamics using terrestrial, airborne, and satellite remote sensing and ground-based digital sensor networks
  • Develops automated data pipelines, high-throughput workflows, and machine learning approaches for biodiversity research