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Auteur Thomas Evans |
Documents disponibles écrits par cet auteur (2)
Affiner la rechercheGlobal Impacts Dataset of Invasive Alien Species (GIDIAS) / Sven Bacher in Scientific Data, 12 (2025)
Titre : Global Impacts Dataset of Invasive Alien Species (GIDIAS) Type de document : Imprimé Auteurs : Sven Bacher ; Ellen Ryan-Colton ; Mario Coiro ; Phillip Cassey ; Bella S. Galil ; Martin A. Nuñez ; Michael Ansong ; Katharina Dehnen-Schmutz ; Georgi Fayvush ; Romina D. Fernandez ; Ankila J. Hiremath ; Makihiko Ikegami (a) ; Angeliki F. Martinou ; Shana M. McDermott ; Cristina Preda ; Montserrat Vilà ; Olaf L. F. Weyl ; Neelavar Ananthram Aravind ; Ioanna Angelidou ; Katerina Athanasiou ; Vidyadhar Atkore ; Jacob N. Barney ; Tim M. Blackburn ; Eckehard Brocherhoff ; Clinton Carbutt ; Luca Carisio ; Pilar Castro-Diez ; Vanessa Céspedes ; Aikaterini Christopoulou ; Diego F. Cisneros-Heredia ; Meghan Cooling ; Maarten de Groot ; Jakovos Demetriou ; James W. E. Dickey ; Virginia G. Duboscq-Carra ; Regan Early ; Thomas Evans ; Paola T. Flores-Males ; Belinda Gallardo ; Monica Gruber ; Cang Hui ; Jonathan M. Jeschke ; Natalia Z. Joelson ; Mohd Asgar Khan ; Sabrina Kumschick ; Lori Lach ; Katharina Lapin ; Simone Lioy ; Chunlong Liu ; Zoe J. MacMullen ; Manuella A. Mazzitelli ; John Measey ; Agatha Mrugala ; Camille L. Musseau ; Helen F. Nahrung ; Alessia Pepori ; Luis R. Pertierra ; Elisabeth F. Pienaar ; Petr Pyšek ; Gonzalo Rivas Torres ; Henry A. Rojas Martinez ; Julissa Rojas-Sandoval ; Ned L. Ryan-Schofield ; Rocío M. Sánchez ; Alberto Santini ; Davide Santoro ; Riccardo Scalera ; Lisanna Schmidt ; Tinyiko Cavin Shivambu ; Sima Sohrabi ; Elena Tricarico ; Alejandro Trillo ; Pieter van't Hof ; Lara Volery ; Tsungai A. Zengeya Année de publication : 2025 Article en page(s) : 832 Langues : Anglais (eng) Catégories : [CBNPMP-Thématique] Plantes subspontanées, naturalisées, envahissantes Résumé : Invasive alien species are a major driver of global change, impacting biodiversity, ecosystem services, and human livelihoods. To document these impacts, we present the Global Impacts Dataset of Invasive Alien Species (GIDIAS), a dataset on the positive, negative and neutral impacts of invasive alien species on nature, nature’s contributions to people, and good quality of life. This dataset arises from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services’ (IPBES) thematic assessment report of this topic. Data were compiled from published sources, including grey literature, reporting a direct observation of an invasive alien species’ impact. All impact records contain up to 52 fields of contextual information and attempt to link impacts to the global standard “environmental impact classification for alien taxa” (EICAT) and “socio-economic impact classification for alien taxa” (SEICAT). GIDIAS includes more than 22000 records of impacts caused by 3353 invasive alien species (plants, vertebrates, invertebrates, microorganisms) from all continents and realms (terrestrial, freshwater, marine), extracted from over 6700 sources. We intend GIDIAS to be a global resource for investigating and managing the variety of impacts of invasive alien species across taxa and regions. Identifiant : DOI : 10.1038/s41597-025-05184-5 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=155621
in Scientific Data > 12 (2025) . - 832Bacher, Sven, Ryan-Colton, Ellen, Coiro, Mario, Cassey, Phillip, Galil, Bella S., Nuñez, Martin A., Ansong, Michael, Dehnen-Schmutz, Katharina, Fayvush, Georgi, Fernandez, Romina D., Hiremath, Ankila J., Ikegami, Makihiko (a), Martinou, Angeliki F., McDermott, Shana M., Preda, Cristina, Vilà, Montserrat, Weyl, Olaf L. F., Ananthram Aravind, Neelavar, Angelidou, Ioanna, Athanasiou, Katerina, Atkore, Vidyadhar, Barney, Jacob N., Blackburn, Tim M., Brocherhoff, Eckehard, Carbutt, Clinton, Carisio, Luca, Castro-Diez, Pilar, Céspedes, Vanessa, Christopoulou, Aikaterini, Cisneros-Heredia, Diego F., Cooling, Meghan, Groot, Maarten de, Demetriou, Jakovos, Dickey, James W. E., Duboscq-Carra, Virginia G., Early, Regan, Evans, Thomas, Flores-Males, Paola T., Gallardo, Belinda, Gruber, Monica, Hui, Cang, Jeschke, Jonathan M., Joelson, Natalia Z., Asgar Khan, Mohd, Kumschick, Sabrina, Lach, Lori, Lapin, Katharina, Lioy, Simone, Liu, Chunlong, MacMullen, Zoe J., Mazzitelli, Manuella A., Measey, John, Mrugala, Agatha, Musseau, Camille L., Nahrung, Helen F., Pepori, Alessia, Pertierra, Luis R., Pienaar, Elisabeth F., Pyšek, Petr, Rivas Torres, Gonzalo, Rojas Martinez, Henry A., Rojas-Sandoval, Julissa, Ryan-Schofield, Ned L., Sánchez, Rocío M., Santini, Alberto, Santoro, Davide, Scalera, Riccardo, Schmidt, Lisanna, Cavin Shivambu, Tinyiko, Sohrabi, Sima, Tricarico, Elena, Trillo, Alejandro, Hof, Pieter van't, Volery, Lara, Zengeya, Tsungai A. 2025 Global Impacts Dataset of Invasive Alien Species (GIDIAS). Scientific Data, 12: 832.Documents numériques
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article (2025)Adobe Acrobat PDFA unified classification of Alien species based on the magnitude of their environmental impacts / Tim M. Blackburn (2014)
Titre : A unified classification of Alien species based on the magnitude of their environmental impacts Type de document : Tiré à part de revue Auteurs : Tim M. Blackburn ; Franz Essl (1973-) ; Thomas Evans ; Philip Eric Hulme ; Jonathan M. Jeschke ; Ingolf Kühn ; Sabrina Kumschick ; Zuzana Marková ; Agatha Mrugala ; Wolfgang Nentwig (1953-) ; Jan Pergl (1977-) ; Petr Pyšek ; Wolfgang Rabitsch (1968-) ; Anthony Ricciardi (1965-) ; David Mark Richardson (1958-) ; Agnieszka Sendek ; Montserrat Vilà ; John R.U. Wilson ; Marten Winter ; Piero Genovesi (1960-) ; Sven Bacher Année de publication : 2014 Importance : 11 p. Langues : Anglais (eng) Catégories : [CBNPMP-Thématique] Plantes subspontanées, naturalisées, envahissantes Résumé : Species moved by human activities beyond the limits of their native geographic ranges into areas in which they do not naturally occur (termed aliens) can cause a broad range of significant changes to recipient ecosystems; however, their impacts vary greatly across species and the ecosystems into which they are introduced. There is therefore a critical need for a standardised method to evaluate, compare, and eventually predict the magnitudes of these different impacts. Here, we propose a straightforward system for classifying alien species according to the magnitude of their environmental impacts, based on the mechanisms of impact used to code species in the International Union for Conservation of Nature (IUCN) Global Invasive Species Database, which are presented here for the first time. The classification system uses five semi-quantitative scenarios describing impacts under each mechanism to assign species to different levels of impact—ranging from Minimal to Massive—with assignment corresponding to the highest level of deleterious impact associated with any of the mechanisms. The scheme also includes categories for species that are Not Evaluated, have No Alien Population, or are Data Deficient, and a method for assigning uncertainty to all the classifications. We show how this classification system is applicable at different levels of ecological complexity and different spatial and temporal scales, and embraces existing impact metrics. In fact, the scheme is analogous to the already widely adopted and accepted Red List approach to categorising extinction risk, and so could conceivably be readily integrated with existing practices and policies in many regions. Identifiant : DOI : 10.1371/journal.pbio.1001850 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=135332 Blackburn, Tim M., Essl, Franz (1973-), Evans, Thomas, Hulme, Philip Eric, Jeschke, Jonathan M., Kühn, Ingolf, Kumschick, Sabrina, Marková, Zuzana, Mrugala, Agatha, Nentwig, Wolfgang (1953-), Pergl, Jan (1977-), Pyšek, Petr, Rabitsch, Wolfgang (1968-), Ricciardi, Anthony (1965-), Richardson, David Mark (1958-), Sendek, Agnieszka, Vilà, Montserrat, Wilson, John R.U., Winter, Marten, Genovesi, Piero (1960-), Bacher, Sven 2014 A unified classification of Alien species based on the magnitude of their environmental impacts. PLOS computational biology, 12(5) : 11 p..Exemplaires (1)
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Article (2014)URL
