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Advances and challenges in modelling the impacts of invasive alien species on aquatic ecosystems

  • X. CorralesEmail author
  • S. Katsanevakis
  • M. Coll
  • J. J. Heymans
  • C. Piroddi
  • E. Ofir
  • G. Gal
Review

Abstract

Invasive alien species (IAS) have become an important driver of biodiversity change and exert severe pressure on natural ecosystems. The development of modelling approaches to assess and predict their distributions and impacts, and evaluate management options has increased substantially. We reviewed these modelling approaches, applied in aquatic ecosystems, using a systematic review approach in line with the preferred reporting items for systematic reviews and meta-analyses. According to our results, multispecies/ecosystem models dominated the applications, with dynamic and non-spatial models being the most prevalent. Most of the models included an additional stressor, mainly fisheries, climate change or nutrient loading. The impacts on biota focused on predation, but also on competition and ecosystem functioning, while the impacts on ecosystem services focused on food provision and water purification. At species/population level, most of the studies reported negative impacts; while at multispecies/ecosystem level, negative and both negative and positive impacts were similarly represented. We reflect on the ability of current models to assess different impacts of IAS populations and highlight the need to advance their capabilities to predict future impacts. Further development of models that allow capturing the arrival, establishment and spread of IAS and assess their impacts in an integrated way is still needed. Spatial–temporal modelling techniques bridging with novel analytical capabilities (such as environmental DNA to investigate the presence of IAS and metabarcoding and machine learning to predict future trophic behavior and distributions) may be the key for future achievement.

Keywords

Invasive alien species Impacts Modelling Marine ecosystems Freshwater ecosystems PRISMA 

Notes

Acknowledgements

XC and EO were supported by an IOLR scholarship under the DESSIM project (“A Decision Support System for the management of Israel’s Mediterranean Exclusive Economic Zone”). MC was partially funded by the European Commission through the European Union´s Horizon research program Grant Agreement No. 689518 for the MERCES project. This study was partially funded by COST (European Cooperation in Science and Technology) Action 15121 “Advancing marine conservation in the European and contiguous seas” (MarCons—http://www.marcons-cost.eu/; Katsanevakis et al. (2017))—supported by the Horizon 2020 Framework Programme for research and innovation. XC thanks Daniel Vilas for help with Fig. 2.

Supplementary material

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Kinneret Limnological LaboratoryIsrael Oceanographic and Limnological ResearchMigdalIsrael
  2. 2.Institut de Ciències del Mar (ICM-CSIC)BarcelonaSpain
  3. 3.AZTISukarrietaSpain
  4. 4.Department of Marine SciencesUniversity of the Aegean, University HillMytileneGreece
  5. 5.Ecopath International Initiative Research AssociationBarcelonaSpain
  6. 6.Scottish Association for Marine Science, Scottish Marine InstituteObanUK
  7. 7.European Marine BoardOstendBelgium
  8. 8.European Commission, Joint Research Centre (JRC)Directorate D – Sustainable ResourcesIspraItaly

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