Journal article

Appropriate uses of EICAT protocol, data and classifications

  • Kumschick, Sabrina Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Matieland, 7602, South Africa - South African National Biodiversity Institute, Kirstenbosch Research Centre, Cape Town, South Africa
  • Bacher, Sven Department of Biology, University of Fribourg, Switzerland
  • Bertolino, Sandro Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy
  • Blackburn, Tim M. Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK - Institute of Zoology, Zoological Society of London, London, UK
  • Evans, Thomas Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195, Berlin, Germany
  • Roy, Helen E. UK Centre for Ecology & Hydrology, Benson Lane, Wallingford, OX10 8BB, UK
  • Smith, Kevin IUCN (International Union for Conservation of Nature), The David Attenborough Building, Pembroke St, Cambridge, CB2 3QZ, UK
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    15.10.2020
Published in:
  • NeoBiota. - 2020, vol. 62, p. 193–212
English The Environmental Impact Classification for Alien Taxa (EICAT) can be used to classify alien taxa according to the magnitude and type of their environmental impacts. The EICAT protocol, classifications of alien taxa using the protocol (EICAT classification) and the data underpinning classifications (EICAT data) are increasingly used by scientists and practitioners such as governments, NGOs and civil society for a variety of purposes. However, the properties of the EICAT protocol and the data it generates are not suitable for certain uses. Therefore, we present guidelines designed to clarify and facilitate the appropriate use of EICAT to tackle a broad range of conservation issues related to biological invasions, as well as to guide research and communication more generally. Here we address common misconceptions and give a brief overview of some key issues that all EICAT users need to be aware of to take maximal advantage of this resource. Furthermore, we give examples of the wide variety of ways in which the EICAT protocol, classifications and data can be and have been utilised and outline common errors and pitfalls to avoid.
Faculty
Faculté des sciences et de médecine
Department
Département de Biologie
Language
  • English
Classification
Biology
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/308919
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