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Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Dataset of Horizon scanning to identify invasion risk of ornamental plants marketed in Spain

Authors: Álvaro Bayón; Montserrat Vilà;

Dataset of Horizon scanning to identify invasion risk of ornamental plants marketed in Spain

Abstract

{"references": ["CABI (2018) Invasive Species Compendium. Wallingford, UK: CAB International. https://www.cabi.org/isc. Accessed 30 Jan 2016", "BOE (2013) Real Decreto 630/2013, de 2 de agosto, por el que se regula el Cat\u00e1logo espa\u00f1ol de especies ex\u00f3ticas invasoras. BOE 185:56764\u201356786", "European Commission (2016) Commission Implementing Regulation (EU) 2016/1141 of 13 July 2016 adopting a list of invasive alien species of Union concern pursuant to Regulation (EU) No 1143/2014 of the European Parliament and of the Council", "European Commission (2017) Commission Implementing Regulation (EU) 2017/1263 of 12 July 2017 updating the list of invasive alien species of Union concern established by Implementing Regulation (EU) 2016/1141 pursuant to Regulation (EU) No 1143/2014 of the European Parliament and of the Council", "Invasive Species Specialist Group ISSG (2015) The Global Invasive Species Database. Version 2015.1. http://www.issg.org/database. Accessed 23 May 2016", "Sanz Elorza M, Dana ED, Sobrino E (eds) (2004) Atlas de las Plantas Al\u00f3ctonas Invasoras en Espa\u00f1a. Direcci\u00f3n General para la Biodiversidad, Madrid"]}

This study was funded by the project IMPLANTIN (CGL2015-65346-R). Á. Bayón is hired by the Biological Station of Doñana (EBD-CSIC) thanks to a Grant for Predoctoral Contracts for the Training of Doctors 2015 awarded by the Ministerio de Ciencia, Innovación y Universidades of Spain, and co-financed by the European Social Fund (BES-2015-072929). We thank P. Castro, O. Godoy and F. Essl, S. Vanderhoeven, P. Hulme and the associated editor for comments on previous versions of the manuscript, and J. Arroyo for tutoring the thesis project at the University of Seville

Full dataset for the research entitled "Horizon scanning to identify invasion risk of ornamental plants marketed in Spain". We classified non-native species into six different lists based on their invasion status in Spain and elsewhere, their climatic suitability in Spain, and their potential environmental and socioeconomic impacts.

Keywords

horizon-scanning, impact assessment, risk assessment, nursery, priority list, non-native plants

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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