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.

TRACKS: Six good practices for Non-Indigenous Species research and their SWOT evaluation / Azzurro, Ernesto; Strafella, Pierluigi; Bertolino, Sandro; Carnevali, Lucilla; Crocetta, Fabio; Di Muri, Cristina; Genovesi, Piero; Monaco, Andrea; Rosati, Ilaria; Tricarico, Elena; Anfora, Gianfranco; Ardenghi, Nicola Maria Giuseppe; Badalamenti, Emilio; Badalamenti, Fabio; Balestrieri, Rosario; Bernardo, Umberto; Boggero, Angela; Bolognini, Luca; Bolpagni, Rossano; Brundu, Giuseppe; Campagnaro, Thomas; Caronni, Sarah; Casella, Francesca; Castriota, Luca; Ceschin, Simona; Chiesa, Stefania; Ciolfi, Marco; Ciutti, Francesca; Cocco, Arturo; Coco, Salvatore; D'Amen, Manuela; D'Anna, Giovanni; Di Franco, Antonio; Dörr, Ambrosius Josef Martin; Elia, Antonia; Faccoli, Massimo; Falaschi, Mattia; Falautano, Manuela; Ferrario, Jasmine; Ficetola, Gentile Francesco; Flore, Sandro; Giacalone, Vincenzo Maximiliano; Giorgini, Massimo; Grech, Daniele; Guerrieri, Emilio; Kamburska, Lyudmila; La Mantia, Tommaso; La Morgia, Valentina; Lauteri, Marco; Lazić, Tamara; Lazzaro, Lorenzo; Livi, Silvia; Lorenzoni, Massimo; Loru, Laura; Maggio, Teresa; Maistrello, Lara; Mancinelli, Giorgio; Mancini, Emanuele; Mannino, Anna Maria; Marchini, Agnese; Martinoli, Adriano; Montalto, Valeria; Mori, Emiliano; Musco, Luigi; Nocita, Annamaria; Nonnis Marzano, Francesco; Nugnes, Francesco; Paganelli, Daniele; Petochi, Tommaso; Petrocelli, Antonella; Pierri, Cataldo; Pipitone, Carlo; Piraino, Stefano; Pollegioni, Paola; Rinaldi, Alessandro; Rontani, Pietro Maria; Rossi Stacconi, Marco Valerio; Rubino, Fernando; Salmaso, Nico; Sasso, Raffaele; Scaccini, Davide; Scalici, Massimiliano; Scarcella, Giuseppe; Serio, Donatella; Tancioni, Lorenzo; Tarantino, Cristina; Tentoni, Enea; Tiralongo, Francesco; Tortorici, Francesco; Volta, Pietro; Zava, Bruno; Cerri, Jacopo. - In: NEOBIOTA. - ISSN 1314-2488. - ELETTRONICO. - 105:(2026), pp. 229-257. [10.3897/neobiota.105.171461]

TRACKS: Six good practices for Non-Indigenous Species research and their SWOT evaluation

Tricarico, Elena;Lazzaro, Lorenzo;Nocita, Annamaria;
2026

Abstract

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.
2026
105
229
257
Azzurro, Ernesto; Strafella, Pierluigi; Bertolino, Sandro; Carnevali, Lucilla; Crocetta, Fabio; Di Muri, Cristina; Genovesi, Piero; Monaco, Andrea; Ro...espandi
File in questo prodotto:
File Dimensione Formato  
2026_Azzurro_Neobiota_TRACKS.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 1.87 MB
Formato Adobe PDF
1.87 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1452617
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact