Bio‐ORACLE: a global environmental dataset for marine species distribution modelling
Ghent University · University of Liège · +1 more institution
Abstract
ABSTRACT Aim The oceans harbour a great diversity of organisms whose distribution and ecological preferences are often poorly understood. Species distribution modelling (SDM) could improve our knowledge and inform marine ecosystem management and conservation. Although marine environmental data are available from various sources, there are currently no user‐friendly, high‐resolution global datasets designed for SDM applications. This study aims to fill this gap by assembling a comprehensive, uniform, high‐resolution and readily usable package of global environmental rasters. Location Global, marine. Methods We compiled global coverage data, e.g. satellite‐based and in situ measured data, representing various…
Citation impact
- FWCI
- 32.01
- Percentile
- 100%
- References
- 59
Authors
6Topics & keywords
- Environmental science
- Oracle
- Species distribution
- Marine ecosystem
- Environmental data
- Environmental resource management
- Computer science
- Remote sensing
- Life below water