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The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-,medium- and low-risk categories
under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide
geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins,
and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups
screened aswell as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to theirwide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g.radication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement.
A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
Lorenzo Vilizzi;Gordon H. Copp;Jeffrey E. Hill;Boris Adamovich;Luke Aislabie;Daniel Akin;Abbas J. Al-Faisal;David Almeida;M. N. Amal Azmai;Rigers Bakiuk;Adriana Bellati;Renée Bernier;Jason M. Bies;Gökçen Bilge;Paulo Branco;Thuyet D. Bui;João Canning-Clode;Henrique Anatole Cardoso Ramos;Gustavo A. Castellanos-Galindo;Nuno Castro;Ratcha Chaichana;Paula Chainho;Joleen Chan;Almir M. Cunico;Amelia Curd;Punyanuch Dangchana;Dimitriy Dashinov;Phil I. Davison;Mariele P. de Camargo;Jennifer A. Dodd;Allison L. Durland Donahou;Lennart Edsman;F. Güler Ekmekçi;Jessica Elphinstone-Davis;Tibor Erős;Charlotte Evangelista;Gemma Fenwick;Árpád Ferincz;Teresa Ferreira;Eric Feunteun;Halit Filiz;Sandra C. Forneck;Helen S. Gajduchenko;João Gama Monteiro;Ignacio Gestoso;Daniela Giannetto;Allan S. Gilles Jr;Francesca Gizzi;Branko Glamuzina;Luka Glamuzina;Jesica Goldsmit;Stephan Gollasch;Philippe Goulletquer;Joanna Grabowska;Rogan Harmer;Phillip J. Haubrock;Dekui He;Jeffrey W. Hean;Gábor Herczeg;Kimberly L. Howland;Ali İlhan;Elena Interesova;Katarína Jakubčinov;Anders Jelmert;Stein I. Johnsen;Tomasz Kakareko;Kamalaporn Kanongdate;Nurçin Killi;Jeong-Eun Kim;Şerife Gülsün Kırankaya;Dominika Kňazovická;Oldřich Kopecký;Vasil Kostov;Nicholas Koutsikos;Sebastian Kozic;Tatia Kuljanishvili;Biju Kumar;Lohith Kumar;Yoshihisa Kurita;Irmak Kurtul;Lorenzo Lazzaro;Laura Lee;Maiju Lehtiniemi by;Giovanni Leonardi;Rob S. E. W. Leuven ca;Shan Li;Tatsiana Lipinskaya;Fei Liu;Lance Lloyd;Massimo Lorenzoni;Sergio Alberto Luna;Timothy J. Lyons;Kit Magellan;Martin Malmstrøm;Agnese Marchini;Sean M. Marr;Gérard Masson;Laurence Masson;Cynthia H. McKenzie;Daniyar Memedemin;Roberto Mendoza;Dan Minchin;LaurenceMiossec;Seyed Daryoush Moghaddas;Moleseng C. Moshobane;Levan Mumladze;Rahmat Naddafi;Elnaz Najafi-Majd;Aurel Năstase;Ion Năvodaru;J. Wesley Neal;Sarah Nienhuis;Matura Nimtim;Emma T. Nolan;Anna Occhipinti-Ambrogi;Henn Ojaveer;Sergej Olenin;Karin Olsson;Norio Onikura;Kathryn O'Shaughnessy;Daniele Paganelli;Paola Parretti;Jiří Patoka;Richard Thomas B. Pavia Jr;Daniele Pellitteri-Rosa;Michèle Pelletier-Rousseau;Elfritzson M. Peralta;Costas Perdikaris;Dariusz Pietraszewski;Marina Piria;Sophie Pitois;Laura Pompei;Nicolas Poulet;Cristina Preda;Riikka Puntila-Dodd;Ali T. Qashqaei;Tena Radočaj;Hossein Rahmani;Smrithy Raj;David Reeves;Milica Ristovska;Viktor Rizevsky;D. Ross Robertson;Peter Robertson;Laura Ruykys;Abdulwakil O. Saba;José M. Santos;Hasan M. Sarı;Pedro Segurado;Vitaliy Semenchenko;Wansuk Senanan;Nathalie Simard;Predrag Simonović;Michał E. Skóra;Kristína Slovák Švolíková;Evangelia Smeti;Tereza Šmídová;Ivan Špelić;Greta Srėbalienė;Gianluca Stasolla;Paul Stebbing;Barbora Števove;Vettath R. Suresh;Bettina Szajbert;Kieu Anh T. Ta;Ali Serhan Tarkan;Jonathan Tempesti;Thomas W. Therriault;Hannah J. Tidbury;Nildeniz Top-Karakuş;Elena Tricarico;Débora F. A. Troca;Konstantinos Tsiamis;Quenton M. Tuckett;Pero Tutman;Umut Uyan;Eliza Uzunova;Leonidas Vardakas;Gaute Velle;Hugo Verreycken;Lizaveta Vintsek;HuiWei;András Weiperth;Olaf L. F. Weyl;Emily R. Winter;Radosław Włodarczyk;Louisa E. Wood;Ruibin Yang;Sercan Yapıcı;Shayne S. B. Yeo;Baran Yoğurtçuoğlu;Anna L. E. Yunnie;Yunjie Zhues;Grzegorz Zięba;Kristína Žitňanová;Stacey Clarke
2021
Abstract
The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-,medium- and low-risk categories
under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide
geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins,
and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups
screened aswell as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to theirwide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g.radication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1496729
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.