Data from: Socio-economic impact classification of alien taxa (SEICAT)

Sven Bacher, Tim M. Blackburn, Franz Essl, Piero Genovesi, Jaakko Heikkilä, Jonathan M. Jeschke, Glyn Jones, Reuben Keller, Marc Kenis, Christoph Kueffer, Angeliki F. Martinou, Wolfgang Nentwig, Jan Pergl, Petr Pyšek, Wolfgang Rabitsch, David M. Richardson, Helen E. Roy, Wolf-Christian Saul, Riccardo Scalera, Montserrat Vila, John R. U. Wilson, Sabina Kumschick & Sabrina Kumschick
Many alien taxa are known to cause socio-economic impacts by affecting the different constituents of human well-being (security; material and non-material assets; health; social, spiritual and cultural relations; freedom of choice and action). Attempts to quantify socio-economic impacts in monetary terms are unlikely to provide a useful basis for evaluating and comparing impacts of alien taxa because they are notoriously difficult to measure and important aspects of human well-being are ignored. Here, we propose a...

Registration Year

  • 2017
    26

Resource Types

  • Dataset
    26

Affiliations

  • University of Vienna
    26
  • University of Veterinary Medicine Vienna
    3
  • University of Cambridge
    2
  • University of Veterinary Medicine
    2
  • University of York
    2
  • South African National Biodiversity Institute
    1
  • Vrije Universiteit Brussel
    1
  • Estación Biológica de Doñana
    1
  • University of Adelaide
    1
  • Indian Institute of Science Education and Research Kolkata
    1