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

Lorenzo Vilizzi, Marina Piria, Dariusz Pietraszewski, Oldřich Kopecký, Ivan Špelić, Tena Radočaj, Nikica Šprem, Kieu Anh T. Ta, Ali Serhan Tarkan, András Weiperth, Baran Yoğurtçuoğlu, Onur Candan, Gábor Herczeg, Nurçin Killi, Darija Lemić, Bettina Szajbert, David Almeida, Zainab Al-Wazzan, Usman Atique, Rigers BakiuRatcha Chaichana, Dimitriy Dashinov, Árpad Ferincz, Guillaume Flieller, Allan S. Gilles, Philippe Goulletquer, Elena Interesova, Sonia Iqbal, Akihiko Koyama, Petra Kristan, Shan Li, Juliane Lukas, Seyed Daryoush Moghaddas, João G. Monteiro, Levan Mumladze, Karin H. Olsson, Daniele Paganelli, Costas Perdikaris, Renanel Pickholtz, Cristina Preda, Milica Ristovska, Kristína Slovák Švolíková, Barbora Števove, Eliza Uzunova, Leonidas Vardakas, Hugo Verreycken, Hui Wei, Grzegorz Zięba

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)211-236
Number of pages26
JournalNeoBiota
Volume76
DOIs
Publication statusPublished - 2022

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science
  • Ecology
  • Animal Science and Zoology
  • Ecological Modelling
  • Plant Science
  • Insect Science

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