Appropriate uses of EICAT protocol, data and classifications
Kumschick, Sabrina; Bacher, Sven; Bertolino, Sandro; Blackburn, Tim M.; Evans, Thomas; Roy, Helen E. ORCID: https://orcid.org/0000-0001-6050-679X; Smith, Kevin. 2020 Appropriate uses of EICAT protocol, data and classifications. NeoBiota, 62. 193-212. 10.3897/neobiota.62.51574
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Abstract/Summary
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.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.3897/neobiota.62.51574 |
UKCEH and CEH Sections/Science Areas: | Biodiversity (Science Area 2017-) |
ISSN: | 1619-0033 |
Additional Information. Not used in RCUK Gateway to Research.: | Open Access paper - full text available via Official URL link. |
Additional Keywords: | biological invasions, Environmental Impact Classification for Alien Taxa, management, policy-making, prioritisation |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 06 Nov 2020 14:31 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/528863 |
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