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Auteur Sabrina Kumschick |
Documents disponibles écrits par cet auteur (3)
Affiner la rechercheDoes origin determine environmental impacts? Not for bamboos / Susan Caravan in Plants, People, Planet, 1 (2019)
Titre : Does origin determine environmental impacts? Not for bamboos Type de document : Imprimé Auteurs : Susan Caravan ; Sabrina Kumschick ; Johannes J. Le Roux ; David Mark Richardson (1958-) ; John R.U. Wilson Année de publication : 2019 Article en page(s) : 119-128 Langues : Anglais (eng) Catégories : [CBNPMP-Thématique] Plantes subspontanées, naturalisées, envahissantes Mots-clés : Bambusa vulgaris Résumé : Non-native species can cause considerable negative impacts in natural ecosystems. Such impacts often are directly due to the fact that these species occur in habitats where they did not evolve. We explored this for bamboos and found that, contrary to the situation in many other plant groups, biogeographic origin was not a strong predictor of the type and severity of environmental impacts caused. We argue that impacts from bamboos are a response to land transformation and disturbance of forest habitats by humans. Therefore, the threats posed by bamboos to highly disturbed forest systems should be the same wherever bamboos are present or planted, and management should adopt similar approaches. Identifiant : DOI : 10.1002/ppp3.5 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=149343
in Plants, People, Planet > 1 (2019) . - 119-128Caravan, Susan, Kumschick, Sabrina, Le Roux, Johannes J., Richardson, David Mark (1958-), Wilson, John R.U. 2019 Does origin determine environmental impacts? Not for bamboos. Plants, People, Planet, 1: 119-128.Documents numériques
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Article (2019)URL
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)
Code-barres Cote Support Localisation Section Disponibilité 25445C PEE Tiré à part Bureaux PEE Consultable Documents numériques
Article (2014)URL
