Addressing the challenges posed by Non-Indigenous Species (NIS) demands coordinated efforts across terrestrial, freshwater and marine ecosystems. In this study, we engaged a diverse group of 90 Italian researchers operating within these three domains to identify and assess strategies for advancing NIS research, using a structured, interactive and expert-driven methodology. The process began with a comprehensive evaluation of ongoing activities, research methodologies and specific needs. This assessment provided information for the development of an initial set of suggestions to ameliorate NIS research, which were collectively discussed and refined, leading to the identification of six good practices identified by the acronym TRACKS and described as: i) Tracking NIS in biodiversity data collection; ii) Reference protocols for NIS data collection; iii) Active participation; iv) Collaboration and FAIR principles; v) Knowledge hub for NIS data; vi) Strategic communication.A SWOT framework was then applied to analyse the internal and external factors influencing the Strengths, Weaknesses, Opportunities and Threats associated with each good practice. Consensus-building techniques were used throughout the evaluation process to ensure the robustness of outcomes. Finally, a quantitative assessment of the SWOT analysis revealed a strong consensus amongst experts regarding the various strengths, weaknesses, opportunities and threats of the different good practices, along with a general optimism about the opportunities and strengths associated with their implementation. Developed within the Italian research community, this approach offered valuable insights to researchers worldwide working on NIS and enabled the expert assessment of six best practices that may serve as a benchmark for advancing the science of biological invasions.
TRACKS: Six good practices for Non-Indigenous Species research and their SWOT evaluation / Azzurro, E., Strafella, P., Bertolino, S., Carnevali, L., Crocetta, F., Di Muri, C., Genovesi, P., Monaco, A., Rosati, I., Tricarico, E., Anfora, G., Ardenghi, N.M.G., Badalamenti, E., Badalamenti, F., Balestrieri, R., Bernardo, U., Boggero, A., Bolognini, L., Bolpagni, R., Brundu, G., et al.. - In: NEOBIOTA. - ISSN 1619-0033. - 105:(2026), pp. 229-257. [10.3897/neobiota.105.171461]
TRACKS: Six good practices for Non-Indigenous Species research and their SWOT evaluation
Maistrello L.;
2026
Abstract
Addressing the challenges posed by Non-Indigenous Species (NIS) demands coordinated efforts across terrestrial, freshwater and marine ecosystems. In this study, we engaged a diverse group of 90 Italian researchers operating within these three domains to identify and assess strategies for advancing NIS research, using a structured, interactive and expert-driven methodology. The process began with a comprehensive evaluation of ongoing activities, research methodologies and specific needs. This assessment provided information for the development of an initial set of suggestions to ameliorate NIS research, which were collectively discussed and refined, leading to the identification of six good practices identified by the acronym TRACKS and described as: i) Tracking NIS in biodiversity data collection; ii) Reference protocols for NIS data collection; iii) Active participation; iv) Collaboration and FAIR principles; v) Knowledge hub for NIS data; vi) Strategic communication.A SWOT framework was then applied to analyse the internal and external factors influencing the Strengths, Weaknesses, Opportunities and Threats associated with each good practice. Consensus-building techniques were used throughout the evaluation process to ensure the robustness of outcomes. Finally, a quantitative assessment of the SWOT analysis revealed a strong consensus amongst experts regarding the various strengths, weaknesses, opportunities and threats of the different good practices, along with a general optimism about the opportunities and strengths associated with their implementation. Developed within the Italian research community, this approach offered valuable insights to researchers worldwide working on NIS and enabled the expert assessment of six best practices that may serve as a benchmark for advancing the science of biological invasions.| File | Dimensione | Formato | |
|---|---|---|---|
|
NB-105-229_article-171461_en_1.pdf
Open access
Tipologia:
VOR - Versione pubblicata dall'editore
Licenza:
[IR] creative-commons
Dimensione
1.93 MB
Formato
Adobe PDF
|
1.93 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate

I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris




