Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling

Jorge Assis; Lennert Tyberghein; Samuel Bosch; Heroen Verbruggen; Ester A. Serrão; Olivier De Clerck

doi:10.1111/geb.12693

journal article Dec 29, 2017

Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling

Jorge Assis

Global Ecology and Biogeography Vol. 27 No. 3 pp. 277-284 · Wiley

View at Publisher Save 10.1111/geb.12693

Abstract

AbstractMotivationThe availability of user‐friendly, high‐resolution global environmental datasets is crucial for bioclimatic modelling. For terrestrial environments, WorldClim has served this purpose since 2005, but equivalent marine data only became available in 2012, with pioneer initiatives like Bio‐ORACLE providing data layers for several ecologically relevant variables. Currently, the available marine data packages have not yet been updated to the most recent Intergovernmental Panel on Climate Change (IPCC) predictions nor to present times, and are mostly restricted to the top surface layer of the oceans, precluding the modelling of a large fraction of the benthic diversity that inhabits deeper habitats. To address this gap, we present a significant update of Bio‐ORACLE for new future climate scenarios, present‐day conditions and benthic layers (near sea bottom). The reliability of data layers was assessed using a cross‐validation framework against in situ quality‐controlled data. This test showed a generally good agreement between our data layers and the global climatic patterns. We also provide a package of functions in the R software environment (sdmpredictors) to facilitate listing, extraction and management of data layers and allow easy integration with the available pipelines for bioclimatic modelling.Main types of variable containedSurface and benthic layers for water temperature, salinity, nutrients, chlorophyll, sea ice, current velocity, phytoplankton, primary productivity, iron and light at bottom.Spatial location and grainGlobal at 5 arcmin (c. 0.08° or 9.2 km at the equator).Time period and grainPresent (2000–2014) and future (2040–2050 and 2090–2100) environmental conditions based on monthly averages.Major taxa and level of measurementMarine biodiversity associated with sea surface and epibenthic habitats.Software formatASCII and TIFF grid formats for geographical information systems and a package of functions developed for R software.

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References

Details

Published: Dec 29, 2017
Vol/Issue: 27(3)
Pages: 277-284
License: View

Authors

J

Jorge Assis

Centre for Marine Sciences, CCMAR‐CIMAR University of Algarve Faro Portugal

L

Lennert Tyberghein

Flanders Marine Institute (VLIZ), InnovOcean site Ostend Belgium

S

Samuel Bosch

Flanders Marine Institute (VLIZ), InnovOcean site Ostend Belgium; Phycology Research Group, Biology Department Ghent University Ghent Belgium

H

Heroen Verbruggen

School of BioSciences University of Melbourne, Melbourne Victoria Australia

E

Ester A. Serrão

Centre for Marine Sciences, CCMAR‐CIMAR University of Algarve Faro Portugal

O

Olivier De Clerck

Phycology Research Group, Biology Department Ghent University Ghent Belgium

Funding

Australian Research Council Award: FT110100585

Fundação para a Ciência e a Tecnologia Award: SFRH/BPD/111003/2015

Cite This Article

Jorge Assis, Lennert Tyberghein, Samuel Bosch, et al. (2017). Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284. https://doi.org/10.1111/geb.12693

Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling

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