ARPHA Preprints, doi: 10.3897/arphapreprints.e106475
Climate Change Impact on Biodiversity and Ecosystems in Europe: Assessing the impact of Non-Indigenous Invasive Species (NIS) in European ecosystems
expand article infoChristos Arvanitidis, Alberto Basset§, Thierry Carval|, Katrina Exter, Nicola Fiore#, Alessandra Giorgetti¤, Juan Miguel González-Aranda, Mark Hebden«, Georgios Kotoulas», Joaquín López Lérida, Rory Meyer, Nikos Minadakis˄, Matthias Obst˅, Nicolas Pade¦, Christina Pavloudiˀ, Marc Portier, Ioulia Santiˁ, Dick Schaap, Peter Thijsse, Lucia Vaira, Cristina Huertas Olivares
‡ LifeWatch ERIC, Seville, Spain§ UNISALENTO, Lecce, Italy| Ifremer, Brest, France¶ VLIZ, Ostend, Belgium# Universita del Salento, Lecce, Italy¤ Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Trieste, Italy« SeaDataNet, Liverpool, United Kingdom» HCMR, Heraklion, Greece˄ Advanced Services Ltd, Heraklion, Greece˅ Göteborg University, Gothenburg, Sweden¦ EMBRC ERIC, Paris, Franceˀ Hellenic Centre for Marine Research (HCMR), Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), 71500, Heraklion, Crete, Greeceˁ EMBRC ERIC, Heraklion, Greece₵ MARIS, Nootdorp, Netherlandsℓ LifeWatch ERIC, Lecce, Italy
Open Access
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).

Keywords
EOSC Future; Science Clusters; e-Infrastructures; Science Projects; Community engagement; Invasive Species; Virtual Research Environments