Ecological Niche Modelling Ecological Niche Modelling is a VRE designed to provide facilities to perform prevision for species distributions along the world. The VRE offers facilities to manage several versions of the same datasets, to process those datasets efficiently and to produce Probabilistic Niche Models by exploiting several computational backends: a single multi-core server, distributed services offered by the D4science infrastructure and cloud resources, both commercial and private. Probabilistic Niche Models are predictive documents resulting in Earth maps showing the likelihood that species or combinations of species live in given areas of the world ocean, either as current native habitat, suitable habitats, or habitats under various scenarios of climate change. Currently probability distributions are produced with half degree resolution and can applied to fisheries and aquaculture as well as to plant or terrestrial animals data. Maps can be produced in terms of G.I.S layers or PNG images, with legend indicating the probability value classified according to colors. Data can be imported according to several typologies: Envelope species Data Probability Distribution Data Occurrence Points Data Environmental Data Distributions can be generated as: Environmental Envelopes Probability Distributions of Spatial Presence Cross Species Maps indicating Biodiversity richness Distribution Maps can be generated from uploaded data and will consist of: 14 2D Maps Metadata about the generation process 1 G.I.S. Group with several superposing layers. E.g. for Marine Species the following layers will be displayed: World Map, Ocean Depth, Ocean Primary Production, Ocean Salinity, Sea Surface Temperature, EEZ Areas, FAO Major Subdivisions, LME Zones, and clearly the Selected Species Distribution. From a functional point of view this environment supports: the selection of a set of species to be analyzed through browsing, filtering, simple and advanced search; the collaboration through a shared workspace; the collaboration through annotations; customization of generation parameters; several dataset import; batch generation of distributions or envelopes by means of cloud or parallelized architectures; publication of the generated data to external users via GeoServer; the collaborative production of reports, i.e. enhanced publications produced through the VRE support.