Identification of potential invasive alien species in Spain through horizon scanning

Abstract

Invasive alien species have widespread impacts on native biodiversity and ecosystem services. Since the number of introductions worldwide is continuously rising, it is essential to prevent the entry, establishment and spread of new alien species through a systematic examination of future potential threats. Applying a three-step horizon scanning consensus method, we evaluated non-established alien species that could potentially arrive, establish and cause major ecological impact in Spain within the next 10 years. Overall, we identified 47 species with a very high risk (e.g. Oreochromis niloticus, Popillia japonica, Hemidactylus frenatus, Crassula helmsii or Halophila stipulacea), 61 with high risk, 93 with moderate risk, and 732 species with low risk. Many of the species categorized as very high or high risk to Spanish biodiversity are either already present in Europe and neighbouring countries or have a long invasive history elsewhere. This study provides an updated list of potential invasive alien species useful for prioritizing efforts and resources against their introduction. Compared to previous horizon scanning exercises in Spain, the current study screens potential invaders from a wider range of terrestrial, freshwater, and marine organisms, and can serve as a basis for more comprehensive risk analyses to improve management and increase the efficiency of the early warning and rapid response framework for invasive alien species. We also stress the usefulness of measuring agreement and consistency as two different properties of the reliability of expert scores, in order to more easily elaborate consensus ranked lists of potential invasive alien species


This work is one of the main results of the InvaNET network (RED2018-102571-T, RED2022-134338-T, https://invasiber.org/InvaNET/), financially supported by MCIN/AEI/10.13039/501100011033


Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier

Document Type

Article


Published version


peer-reviewed

Language

English

Publisher

Elsevier

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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jenvman.2023.118696

info:eu-repo/semantics/altIdentifier/issn/0301-4797

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Attribution-NonCommercial-NoDerivatives 4.0 International

http://creativecommons.org/licenses/by-nc-nd/4.0/