Species Range Mapping

In a simplified way, the four main process from data to species ranges are: 1. Extract occurrence data from GBIF species that are pre-selected as cold-adapted or that complement Hulten’s ranges maps and the Panarctic Flora checklist. For that, data manipulation and a pre-resolution of species taxono...

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Main Authors: Hagen, Oskar, Vaterlaus, Lisa, Albouy, Camille, Brown, Andrew, Leugger, Flurin, Onstein, Renske, Santana, Charles, Scotese, Christopher, Pellissier, Löic
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.0ff6b04/3
https://datadryad.org/resource/doi:10.5061/dryad.0ff6b04/3
id ftdatacite:10.5061/dryad.0ff6b04/3
record_format openpolar
spelling ftdatacite:10.5061/dryad.0ff6b04/3 2023-05-15T15:18:32+02:00 Species Range Mapping Hagen, Oskar Vaterlaus, Lisa Albouy, Camille Brown, Andrew Leugger, Flurin Onstein, Renske Santana, Charles Scotese, Christopher Pellissier, Löic 2019 https://dx.doi.org/10.5061/dryad.0ff6b04/3 https://datadryad.org/resource/doi:10.5061/dryad.0ff6b04/3 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.0ff6b04 http://creativecommons.org/publicdomain/zero/1.0 CC0 Biodiversity climate change earth surface processes flora mountain orogeny cold-adapted plants Northern Hemisphere Arctic Cenozoic i.e. 60Ma until the present Angiosperms Compositae Poaceae Leguminosae Brassicaceae Cyperaceae Rosaceae dataset Dataset DataFile 2019 ftdatacite https://doi.org/10.5061/dryad.0ff6b04/3 https://doi.org/10.5061/dryad.0ff6b04 2021-11-05T12:55:41Z In a simplified way, the four main process from data to species ranges are: 1. Extract occurrence data from GBIF species that are pre-selected as cold-adapted or that complement Hulten’s ranges maps and the Panarctic Flora checklist. For that, data manipulation and a pre-resolution of species taxonomic names is necessary (see ‘1.extract_pre-select_cold_plants_gbif.R’). 2. After resolving taxonomic names and synonyms within datasets, merge distribution data (see ‘2.merge_dataset.R’). 3. From all merged points, create range maps using ecoregions and climatic layers information (see ‘3.create_range.R’). 4. After having clean datasets, merge all datasets (see ‘4.merge_datasets.R’). Additional steps as the removal of plants not belonging to the Angiosperms clade, masking of the cold areas and the manual check of species names are not provided here, given their simplicity, specificity to a cluster computer and large quantity of intermediate individual files. Inside the folder ‘support_functions’, there are four functions called by the scripts mentioned above. All functions have a short description and parameters are shortly described. The file (i) ‘range_from_points.R’ contains the function used to create range maps from occurrence data. The file (ii) ‘resolve_taxonomic_names.R’ contains the function used to automatically resolve taxonomic names and look for synonyms while deleting clear mistakes. The taxonomic name resolution procedure involved a manual check of all species. The file (iii) ‘merge_occurance_data.R’ merges occurrence data from a same dataset considering duplicates and corrected species names. This function requires a species names resolution matrix and a specific structure for datasets (i.e. occurrences inside a folder named ‘points’ with a txt file for each species name containing x and y coordinates). The final occurrence data is stored in a folder named ‘merged_point’. The file (iv) ‘compress_housekeeping.R’ contains a function conveniently called after generating the merged points. It compresses all occurrence data inside ‘point’ folder and deletes the folder while keeping a compressed zip file for reference. Dataset Arctic Climate change DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Biodiversity
climate change
earth surface processes
flora
mountain
orogeny
cold-adapted plants
Northern Hemisphere
Arctic
Cenozoic i.e. 60Ma until the present
Angiosperms
Compositae
Poaceae
Leguminosae
Brassicaceae
Cyperaceae
Rosaceae
spellingShingle Biodiversity
climate change
earth surface processes
flora
mountain
orogeny
cold-adapted plants
Northern Hemisphere
Arctic
Cenozoic i.e. 60Ma until the present
Angiosperms
Compositae
Poaceae
Leguminosae
Brassicaceae
Cyperaceae
Rosaceae
Hagen, Oskar
Vaterlaus, Lisa
Albouy, Camille
Brown, Andrew
Leugger, Flurin
Onstein, Renske
Santana, Charles
Scotese, Christopher
Pellissier, Löic
Species Range Mapping
topic_facet Biodiversity
climate change
earth surface processes
flora
mountain
orogeny
cold-adapted plants
Northern Hemisphere
Arctic
Cenozoic i.e. 60Ma until the present
Angiosperms
Compositae
Poaceae
Leguminosae
Brassicaceae
Cyperaceae
Rosaceae
description In a simplified way, the four main process from data to species ranges are: 1. Extract occurrence data from GBIF species that are pre-selected as cold-adapted or that complement Hulten’s ranges maps and the Panarctic Flora checklist. For that, data manipulation and a pre-resolution of species taxonomic names is necessary (see ‘1.extract_pre-select_cold_plants_gbif.R’). 2. After resolving taxonomic names and synonyms within datasets, merge distribution data (see ‘2.merge_dataset.R’). 3. From all merged points, create range maps using ecoregions and climatic layers information (see ‘3.create_range.R’). 4. After having clean datasets, merge all datasets (see ‘4.merge_datasets.R’). Additional steps as the removal of plants not belonging to the Angiosperms clade, masking of the cold areas and the manual check of species names are not provided here, given their simplicity, specificity to a cluster computer and large quantity of intermediate individual files. Inside the folder ‘support_functions’, there are four functions called by the scripts mentioned above. All functions have a short description and parameters are shortly described. The file (i) ‘range_from_points.R’ contains the function used to create range maps from occurrence data. The file (ii) ‘resolve_taxonomic_names.R’ contains the function used to automatically resolve taxonomic names and look for synonyms while deleting clear mistakes. The taxonomic name resolution procedure involved a manual check of all species. The file (iii) ‘merge_occurance_data.R’ merges occurrence data from a same dataset considering duplicates and corrected species names. This function requires a species names resolution matrix and a specific structure for datasets (i.e. occurrences inside a folder named ‘points’ with a txt file for each species name containing x and y coordinates). The final occurrence data is stored in a folder named ‘merged_point’. The file (iv) ‘compress_housekeeping.R’ contains a function conveniently called after generating the merged points. It compresses all occurrence data inside ‘point’ folder and deletes the folder while keeping a compressed zip file for reference.
format Dataset
author Hagen, Oskar
Vaterlaus, Lisa
Albouy, Camille
Brown, Andrew
Leugger, Flurin
Onstein, Renske
Santana, Charles
Scotese, Christopher
Pellissier, Löic
author_facet Hagen, Oskar
Vaterlaus, Lisa
Albouy, Camille
Brown, Andrew
Leugger, Flurin
Onstein, Renske
Santana, Charles
Scotese, Christopher
Pellissier, Löic
author_sort Hagen, Oskar
title Species Range Mapping
title_short Species Range Mapping
title_full Species Range Mapping
title_fullStr Species Range Mapping
title_full_unstemmed Species Range Mapping
title_sort species range mapping
publisher Dryad Digital Repository
publishDate 2019
url https://dx.doi.org/10.5061/dryad.0ff6b04/3
https://datadryad.org/resource/doi:10.5061/dryad.0ff6b04/3
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
genre_facet Arctic
Climate change
op_relation https://dx.doi.org/10.5061/dryad.0ff6b04
op_rights http://creativecommons.org/publicdomain/zero/1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.0ff6b04/3
https://doi.org/10.5061/dryad.0ff6b04
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