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Climate change impact on biodiversity and ecosystems in Europe: Assessing the impact of Non-Indigenous Invasive Species (NIS) in European ecosystems
Arvanitidis, C.; Basset, A.; Carval, T.; Exter, K.; Fiore, N.; Giorgetti, A.; Gonzalez Aranda, J.M.; Hebden, M.; Kotoulas, G.; López Lérida, J.; Meyer, R.; Minadakis, N.; Obst, M.; Pade, N.; Pavloudi, C.; Portier, M.; Santi, I.; Schaap, D.; Thijssen, P.; Vaira, L.; Huertas-Olivares, C. (2023). Climate change impact on biodiversity and ecosystems in Europe: Assessing the impact of Non-Indigenous Invasive Species (NIS) in European ecosystems. ARPHA Preprints e106475: 1-8. https://dx.doi.org/10.3897/arphapreprints.e106475
In: ARPHA Preprints. Pensoft Publishers: Sofia.

Available in  Authors 
Document type: Preprint

Keyword
    Marine/Coastal

Authors  Top 
  • Arvanitidis, C., more
  • Basset, A.
  • Carval, T.
  • Exter, K.
  • Fiore, N.
  • Giorgetti, A.
  • Gonzalez Aranda, J.M.
  • Hebden, M.
  • Kotoulas, G., more
  • López Lérida, J.
  • Meyer, R.
  • Minadakis, N.
  • Obst, M.
  • Pade, N.
  • Pavloudi, C.
  • Portier, M.
  • Santi, I.
  • Schaap, D.
  • Thijssen, P.
  • Vaira, L.
  • Huertas-Olivares, C.

Abstract
    This Science Project (SP) contributes to the estimation of the impacts of the invasive species on the European Biodiversity and Ecosystems. This topic is important for European Green Deal and the new European Biodiversity Strategy. The SP is also linked with the socio-economic issues because of the NIS implications to the local ecosystems and their services, and their societal goods and services. Since many of the above impacts may be of local scale, they may alter common practices in circular economies. The SP is implemented by: (a) Combining different sources of data and information; (b) Using a dual workflow to analyse the data; (c) Integrating its resources with core EOSC services and potentially horizontal services available; (d) Engaging the relevant scientific communities. The users will be able to: (a) Analyse distribution patterns of invasive species from different sources of data; (b) Compare the above patterns; (c) Provide managerial suggestions to relevant authorities; (d) Build on the existing infrastructure to address more complex questions (e.g. future scenarios).

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