Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling
Motivation: The 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-O...
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ftunivgent:oai:archive.ugent.be:8556855 2023-06-11T04:16:38+02:00 Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling Assis, Jorge Tyberghein, Lennert Bosch, Samuel Verbruggen, Heroen Serrão, Ester A De Clerck, Olivier 2018 application/pdf https://biblio.ugent.be/publication/8556855 http://hdl.handle.net/1854/LU-8556855 https://doi.org/10.1111/geb.12693 https://biblio.ugent.be/publication/8556855/file/8556858 eng eng https://biblio.ugent.be/publication/8556855 http://hdl.handle.net/1854/LU-8556855 http://dx.doi.org/10.1111/geb.12693 https://biblio.ugent.be/publication/8556855/file/8556858 No license (in copyright) info:eu-repo/semantics/restrictedAccess GLOBAL ECOLOGY AND BIOGEOGRAPHY ISSN: 1466-822X Biology and Life Sciences Earth and Environmental Sciences Bio-ORACLE bioclimatic modelling environmental data global kriging macroecology marine species distribution modelling CLIMATE-CHANGE RANGE SHIFTS SPECIES DISTRIBUTIONS TEMPORAL VARIABILITY PRODUCTIVITY CHLOROPHYLL CONSISTENT DIVERSITY PATTERNS PLATFORM journalArticle info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2018 ftunivgent https://doi.org/10.1111/geb.12693 2023-05-10T22:27:33Z Motivation: The 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 contained: Surface and benthic layers for water temperature, salinity, nutrients, chlorophyll, sea ice, current velocity, phytoplankton, primary productivity, iron and light at bottom. Spatial location and grain: Global at 5 arcmin (c.0.08 degrees or 9.2 km at the equator). Time period and grain: Present (2000-2014) and future (2040-2050 and 2090-2100) environmental conditions based on monthly averages. Major taxa and level of measurement: Marine biodiversity associated with sea surface and epibenthic habitats. Software format: ASCII and TIFF grid formats for geographical information systems and a package of functions developed for R software. Article in Journal/Newspaper Sea ice Ghent University Academic Bibliography Global Ecology and Biogeography 27 3 277 284 |
institution |
Open Polar |
collection |
Ghent University Academic Bibliography |
op_collection_id |
ftunivgent |
language |
English |
topic |
Biology and Life Sciences Earth and Environmental Sciences Bio-ORACLE bioclimatic modelling environmental data global kriging macroecology marine species distribution modelling CLIMATE-CHANGE RANGE SHIFTS SPECIES DISTRIBUTIONS TEMPORAL VARIABILITY PRODUCTIVITY CHLOROPHYLL CONSISTENT DIVERSITY PATTERNS PLATFORM |
spellingShingle |
Biology and Life Sciences Earth and Environmental Sciences Bio-ORACLE bioclimatic modelling environmental data global kriging macroecology marine species distribution modelling CLIMATE-CHANGE RANGE SHIFTS SPECIES DISTRIBUTIONS TEMPORAL VARIABILITY PRODUCTIVITY CHLOROPHYLL CONSISTENT DIVERSITY PATTERNS PLATFORM Assis, Jorge Tyberghein, Lennert Bosch, Samuel Verbruggen, Heroen Serrão, Ester A De Clerck, Olivier Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling |
topic_facet |
Biology and Life Sciences Earth and Environmental Sciences Bio-ORACLE bioclimatic modelling environmental data global kriging macroecology marine species distribution modelling CLIMATE-CHANGE RANGE SHIFTS SPECIES DISTRIBUTIONS TEMPORAL VARIABILITY PRODUCTIVITY CHLOROPHYLL CONSISTENT DIVERSITY PATTERNS PLATFORM |
description |
Motivation: The 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 contained: Surface and benthic layers for water temperature, salinity, nutrients, chlorophyll, sea ice, current velocity, phytoplankton, primary productivity, iron and light at bottom. Spatial location and grain: Global at 5 arcmin (c.0.08 degrees or 9.2 km at the equator). Time period and grain: Present (2000-2014) and future (2040-2050 and 2090-2100) environmental conditions based on monthly averages. Major taxa and level of measurement: Marine biodiversity associated with sea surface and epibenthic habitats. Software format: ASCII and TIFF grid formats for geographical information systems and a package of functions developed for R software. |
format |
Article in Journal/Newspaper |
author |
Assis, Jorge Tyberghein, Lennert Bosch, Samuel Verbruggen, Heroen Serrão, Ester A De Clerck, Olivier |
author_facet |
Assis, Jorge Tyberghein, Lennert Bosch, Samuel Verbruggen, Heroen Serrão, Ester A De Clerck, Olivier |
author_sort |
Assis, Jorge |
title |
Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling |
title_short |
Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling |
title_full |
Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling |
title_fullStr |
Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling |
title_full_unstemmed |
Bio-ORACLE v2.0 : extending marine data layers for bioclimatic modelling |
title_sort |
bio-oracle v2.0 : extending marine data layers for bioclimatic modelling |
publishDate |
2018 |
url |
https://biblio.ugent.be/publication/8556855 http://hdl.handle.net/1854/LU-8556855 https://doi.org/10.1111/geb.12693 https://biblio.ugent.be/publication/8556855/file/8556858 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
GLOBAL ECOLOGY AND BIOGEOGRAPHY ISSN: 1466-822X |
op_relation |
https://biblio.ugent.be/publication/8556855 http://hdl.handle.net/1854/LU-8556855 http://dx.doi.org/10.1111/geb.12693 https://biblio.ugent.be/publication/8556855/file/8556858 |
op_rights |
No license (in copyright) info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1111/geb.12693 |
container_title |
Global Ecology and Biogeography |
container_volume |
27 |
container_issue |
3 |
container_start_page |
277 |
op_container_end_page |
284 |
_version_ |
1768375041263665152 |