Published October 3, 2022 | Version v1
Journal article Open

Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions

  • 1. University of Lodz, Lodz, Poland
  • 2. University of Lodz, Lodz, Poland|University of Zagreb, Zagreb, Croatia
  • 3. Czech University of Life Sciences, Praha, Czech Republic
  • 4. University of Zagreb, Zagreb, Croatia
  • 5. Ministry of Natural Resources and Environment, Hanoi, Vietnam
  • 6. Muğla Sıtkı Koçman University, Muğla, Turkey|University of Lodz, Lodz, Poland
  • 7. Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary
  • 8. Hacettepe University, Ankara, Turkey
  • 9. Ordu University, Ordu, Turkey
  • 10. ELTE Eötvös Loránd University, Budapest, Hungary
  • 11. Muğla Sıtkı Koçman University, Muğla, Turkey
  • 12. USP-CEU University, Madrid, Spain
  • 13. Environment Public Authority, Shuwaikh Industrial, Kuwait
  • 14. University of Veterinary and Animal Sciences, Lahore, Pakistan
  • 15. Albanian Center for Environmental Protection and Sustainable Development, Tirana, Albania|Agricultural University of Tirana, Tirana, Albania
  • 16. Kasetsart University, Bangkok, Thailand
  • 17. Sofia University, Sofia, Bulgaria
  • 18. University of Rennes, Rennes, France
  • 19. University of Santo Tomas, Manila, Philippines
  • 20. French Research Institute for Exploitation of the Sea, Nantes, France
  • 21. Tomsk State University, Tomsk, Russia|Novosibirsk branch of Russian Federal Research Institute of Fisheries and Oceanography, Novosibirsk, Russia|Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
  • 22. Kyushu University, Fukuoka, Japan
  • 23. Shanghai Natural History Museum, Shanghai, China
  • 24. Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany|Humboldt University of Berlin, Berlin, Germany
  • 25. Shahid Beheshti University, Tehran, Iran
  • 26. Marine and Environmental Sciences Centre, Funchal, Portugal
  • 27. Ilia State University, Tbilisi, Georgia
  • 28. The Inter-University Institute for Marine Sciences in Eilat, Eilat, Israel|Tel Aviv University, Tel Aviv, Israel
  • 29. University of Pavia, Pavia, Italy
  • 30. Department of Fisheries, Regional Unit of Thesprotia, Igoumenitsa, Greece
  • 31. Tel Aviv University, Tel Aviv, Israel
  • 32. Ovidius University of Constanta, Constanta, Romania
  • 33. University "St. Cyril and Methodius", Skopje, Republic of North Macedonia
  • 34. Comenius University, Bratislava, Slovakia
  • 35. Institute of Marine Biological Resources & Inland Waters, Attica, Greece
  • 36. Research Institute for Nature and Forest, Brussels, Belgium
  • 37. Pearl River Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou, China|Ministry of Agriculture and Rural Affairs, Guangzhou, China

Description

Electronic decision-support tools are becoming an essential component of government strategies to tackle non-native species invasions. This study describes the development and application of a multilingual electronic decision-support tool for screening terrestrial animals under current and future climate conditions: the Terrestrial Animal Species Invasiveness Screening Kit (TAS-ISK). As an adaptation of the widely employed Aquatic Species Invasiveness Screening Kit (AS-ISK), the TAS-ISK question template inherits from the original Weed Risk Assessment (WRA) and related WRA-type toolkits and complies with the 'minimum requirements' for use with the recent European Regulation on invasive alien species of concern. The TAS-ISK consists of 49 basic questions on the species' biogeographical/historical traits and its biological/ecological interactions, and of 6 additional questions to predict how climate change is likely to influence the risks of introduction, establishment, dispersal and impact of the screened species. Following a description of the main features of this decision-support tool as a turnkey software application and of its graphical user interface with support for 32 languages, sample screenings are provided in different risk assessment areas for one representative species of each of the main taxonomic groups of terrestrial animals supported by the toolkit: mammals, birds, reptiles, amphibians, annelids, insects, molluscs, nematodes, and platyhelminths. The highest-scoring species were the red earthworm Lumbricus rubellus for the Aegean region of Turkey and the New Zealand flatworm Arthurdendyus triangulatus for Croatia. It is anticipated that adoption of this toolkit will mirror that of the worldwide employed AS-ISK, hence allowing to share information and inform decisions for the prevention of entry and/or dispersal of (high-risk) non-native terrestrial animal species – a crucial step to implement early-stage control and eradication measures as part of rapid-response strategies to counteract biological invasions.

Files

NB_article_84268.pdf

Files (418.2 kB)

Name Size Download all
md5:1cb2cc7278be8c51dcf1e83be6ca704e
418.2 kB Preview Download

System files (302.0 kB)

Name Size Download all
md5:69fff466609e8fadb41de1653493a2fd
302.0 kB Download

Linked records

Additional details

Related works