Background Information about the incidence and impact of Non-indigenous and Invasive Species (NIS) are often scattered across different spatial, temporal and taxonomic scales and, therefore, it can be difficult to draw any comprehensive conclusion about the most vulnerable ecosystems or map the areas more at risk of biological invasion. Occurrence data are usually collected using a variety of sampling approaches and the impact of NIS can affect ecosystems at any biological scale (e.g., individuals, populations, communities, etc.) and with different degrees of severity. The heterogeneity of species occurrence data and the complexity of multiple effects acting at different biological scales and determining ecosystem-dependent changes make estimations of NIS incidence and impact difficult on large geographical scales. Introduction Comprehensive, standardised and modular methods to assess both incidence and impact of NIS at different spatial scale (e.g., continental, regional, local) are required to support management and conservation actions and to prioritise areas of intervention. To achieve this objective, researchers have developed two standardised approaches to quantify the incidence and the impact of NIS on ecosystems respectively by means of: occurrence cubes and analysis of the Cumulative IMPacts of invasive ALien species (CIMPAL). Occurrence cubes consist of species occurrence data aggregated on a three-dimensional space (cube) whereby the three dimensions considered are taxonomic, temporal and spatial. Data cubes allow the homogenisation and aggregation of heterogeneous data collected using different methods and standards. The CIMPAL model allows the mapping of cumulative negative impacts of NIS on different ecosystems (marine, freshwater, terrestrial) on the basis of existing evidence. NIS impacts can be additionally mapped according to the main associated pathways of introduction and the relative importance of species on cumulative impacts can be inferred. Using these two standardised methodologies, vulnerability map of biotopes can be produced in order to identify hot spots particularly threatened by NIS and that, in turn, would require special protection and maintenance. Aims This validation case aims at using the occurrence cube approach and the CIMPAL model to map ecosystem and habitat type vulnerability at continental scale, inferring the relevance of key risk factors (e.g. vectors of invasion) and intrinsic resistance/resilience components (e.g. native biodiversity, food web structure, etc…) and design scenarios of change, in the context of expected climate changes, for ecosystem and habitat types found highly vulnerable to NIS. The workflow developed offers a valuable tool that may assist policy makers and managers in their efforts to develop strategies for mitigating the impacts of invasive species and improving the environmental status of marine waters. The method, although tested on the the marine environment, can easily be transferred to the terrestrial environment as well.

Output file of the "CIMPAL Calculator" service (step 6) of the Biotope vulnerability Workflow within the Internal Joint Initiative. It represents also an optional input of the "Zonal Statistics Producer" service (step 7). It is a TXT file that contains information on the coordinates system used.

This service aims at normalizing the user datasets to be consistent with the accepted formats. It represents the Step 3 of the Biotope vulnerability Workflow within the Internal Joint Initiative.

This service aims at enabling the dataset uploading from the user. It represents the Step 2b of the Biotope vulnerability Workflow within the Internal Joint Initiative.

Input file of the "CIMPAL Calculator" service (step 6) of the Biotope vulnerability Workflow within the Internal Joint Initiative. It represents the habitat spatial layers, habitat names must match the biotope categories used in input file "Biotope_NIS_impact_matrix.csv". This information can be provided as a set of files with a single biotope per file (in which case the file must be named single_[name_of_biotope].shp )], as a file with multiple biotopes (in which case the name of each biotope is stored in a field called "Habitat"), or both.

Output file of the "CIMPAL Calculator" service (step 6) of the Biotope vulnerability Workflow within the Internal Joint Initiative. It represents also the input of the "Zonal Statistics Producer" service (step 7). It is the vulnerability of biotopes to invasive alien species according to the cumulative magnitude of impact reported.

This service aims at crossing the datacube with a geographic layer in order to compute incidence information per zone. This information is extracted based on the geolocation code. It includes a tool to visualize the outputs rasters. It represents the Step 5 of the Biotope vulnerability Workflow within the Internal Joint Initiative.

Input file of the "CIMPAL Calculator" service (step 6) of the Biotope vulnerability Workflow within the Internal Joint Initiative. It is an optional file that lists the possible pathways or vectors of introduction (the categories are defined by the user) for each non-indigenous species. More than one pathway is allowed per species. The structure of the file is as follows: - Species name (text) - Pathway of introduction (text)

Output file of the "GRIIS Extractor" service (step 2a) of the Biotope vulnerability Workflow within the Internal Joint Initiative. It represents also the output file of the "Alien Taxonomy Dataset Uploader" service (step 2b) when the input comes from the user.

This service aims at building two datacubes based on the occurrences. The datacube aggregates (=counts) occurrences on a regular grid. This count has a stochastic component that takes the uncertainty field into account. All this process has been developed in R in the frame of the TrIAS project. It represents the Step 4 of the Biotope vulnerability Workflow within the Internal Joint Initiative.