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Marine Habitat Suitability Predictions (monthly and decadal)

Background<div>The European Union's Habitats and Birds Directives (Council directive 92/43/EEC; Directive 2009/147/EC) serve as essential frameworks protecting habitats and their species. To support effective management under these directives, it is necessary to understand both the current distribution of these species and how their habitats may shift in the future under climate change scenarios.</div><div>Introduction</div><div>Habitat suitability models (HSMs) estimate the statistical relationship between observed species occurrences and environmental variables to infer relative habitat suitability across an area. Numerous modelling algorithms exist to fit presence-only data coupled with background points. An ensemble model combines these individual models, leveraging their differences, to obtain more robust predictions. This workflow applies HSMs using occurrence data from EurOBIS (EurOBIS 2025) and environmental predictors from CMEMS (Copernicus Marine Service 2025), and EMODnet (Beja et al. 2024), and predicted environmental conditions under different climate scenarios (Shared Socioeconomic Pathways, SSP, Riahi et al. 2017) from Bio-ORACLE (Tyberghein et al. 2012; Assis et al. 2024) . The workflow generates monthly and decadal habitat suitability predictions for harbour porpoise, harbour seal, common bottlenose dolphin, and common dolphin in European waters (OSPAR regions II-IV).</div><div>Aims</div><div>Two modelling approaches are implemented generating habitat suitability predictions with two temporal scopes:

1. Monthly predictions to characterise seasonal dynamics;

2. Decadal models to assess long-term trends under SSP climate scenarios (2020-2100). Overall, the workflow: i) compiles and cleans occurrence data; ii) couples species occurrence data and background points with environmental variables; iii) fits ensemble models for present and future conditions; and iv) provides downloadable NetCDF maps of relative habitat suitability for each species and temporal scope.

3. These outputs aim to support evidence-based decision-making for biodiversity protection. Predictions represent relative habitat suitability, not confirmed presence or abundance, and should be interpreted with caution, considering species ecology, data availability and model uncertainty.</div>

Default

Date ( Publication)
2025-11-23
Status
Completed
Author
  Vlaams Instituut voor de Zee (VLIZ) - Jo-Hannes Nowé

Author
  Vlaams Instituut voor de Zee (VLIZ) - Klaas Deneudt

Author
  Vlaams Instituut voor de Zee (VLIZ) - Elisabeth Debusschere

Author
  Vlaams Instituut voor de Zee (VLIZ) - Carlota Muñiz

Publisher
  LifeWatch ERIC ICT Core - ICT Core Group

Version

1.0.0

Keywords

marco-bolo

Keywords

habitat suitability model

Keywords

Habitats and Birds Directives

Keywords

climate change

Keywords

species occurrence

Keywords

environmental variables

Keywords

Copernicus

Keywords

EurOBIS

Keywords

EMODnet

Keywords

Bio-ORACLE

Keywords

habitat suitability prediction

Keywords

harbour porpoise

Keywords

harbour sea

Keywords

common bottlenose dolphin

Keywords

common dolphin

Access constraints
License
Use limitation

<a href=" https://spdx.org/licenses/AGPL-3.0-or-later" target="_blank"> https://spdx.org/licenses/AGPL-3.0-or-later</a>

OnLine resource
Link to the workflow (

WWW:LINK-1.0-http--link

)
Service Name

Marine Habitat Suitability Predictions (monthly and decadal)

Service Description

Monthly and decadal habitat suitability predictions using an ensemble model approach. Habitat suitability models (HSMs) estimate the statistical relationship between observed species occurrences and environmental variables to infer relative habitat suitability across an area. Numerous modelling algorithms exist to fit presence-only data coupled with background points. An ensemble model combines these individual models, leveraging their differences, to obtain more robust predictions.This workflow applies HSMs using occurrence data from EurOBIS (EurOBIS 2025) and environmental predictors from CMEMS (Copernicus Marine Service 2025), and EMODnet (Beja et al. 2024), and predicted environmental conditions under different climate scenarios (Shared Socioeconomic Pathways, SSP, Riahi et al. 2017) from Bio-ORACLE (Tyberghein et al. 2012; Assis et al. 2024) . The workflow generates monthly and decadal habitat suitability predictions for harbour porpoise, harbour seal, common bottlenose dolphin, and common dolphin in European waters (OSPAR regions II-IV).

Workflow Helpdesk

https://helpdesk.lifewatch.eu/

metadataMetadata

File identifier
d332a9d2-b982-4e01-8096-e08bae1880a1 XML
Metadata language
en
Hierarchy level
Workflow
Metadata Schema Version

1.0

 
 

Overviews

overview
Marine suitability workflow.png

Spatial extent

Keywords



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