Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region

Species distribution models require spatially linked response (e.g., species, habitat type) and environmental (predictor) point data. Often, only limited environmental data types can be collected at the time of sampling, and it may be desirable to capture information both from different data sources...

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Main Author: Guijarro, J (via Mendeley Data)
Language:unknown
Published: 2019
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-r9-5oxs
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:120950
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:120950
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:120950 2023-07-02T03:32:52+02:00 Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region Guijarro, J (via Mendeley Data) 2019-03-12T18:02:44.228Z http://nbn-resolving.org/urn:nbn:nl:ui:13-r9-5oxs https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:120950 unknown 1 p32f6y5ph5 http://nbn-resolving.org/urn:nbn:nl:ui:13-r9-5oxs doi:10.17632/p32f6y5ph5.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:120950 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Javier Guijarro Interdisciplinary sciences 2019 ftdans https://doi.org/10.17632/p32f6y5ph5.1 2023-06-13T13:36:16Z Species distribution models require spatially linked response (e.g., species, habitat type) and environmental (predictor) point data. Often, only limited environmental data types can be collected at the time of sampling, and it may be desirable to capture information both from different data sources and/or longer term data series in order to predict the distribution of a response variable. In order to link response and predictor variables that are not sampled at the same location or time, geospatial interpolation techniques are applied. Here, we provide a review of 104 environmental variables from each of 8 water column properties: Temperature, Salinity, Current Speed, Maximum Seasonal Mixed Layer Depth, Bottom Shear, Sea Surface Chlorophyll a, Primary Production and Dissolved Inorganic Nutrients for the ‘Newfoundland and Labrador Region’ (a combined spatial extent of DFO’s Placentia Bay-Grand Bank and Newfoundland and Labrador Shelves Large Ocean Management Areas). All of these variables have potential biological relevance to benthic invertebrate species. Original data sources were the Global Ocean Reanalyses and Simulations (GLORYS), the Sea-viewing Wide Field-of-view Sensor (SeaWIFS), and the World Ocean Database 2013 (WOD13). For each variable, the original data characteristics and diagnostics produced from spatial interpolation using ordinary kriging are detailed. Standard error and prediction maps are shown for each variable. Based on these diagnostics, a subset of these variables was subsequently used in species distribution models of corals, sponges, crinoids, ascidians and bryozoans in the Newfoundland and Labrador Region. Other/Unknown Material Labrador region Newfoundland Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Newfoundland
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Interdisciplinary sciences
spellingShingle Interdisciplinary sciences
Guijarro, J (via Mendeley Data)
Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region
topic_facet Interdisciplinary sciences
description Species distribution models require spatially linked response (e.g., species, habitat type) and environmental (predictor) point data. Often, only limited environmental data types can be collected at the time of sampling, and it may be desirable to capture information both from different data sources and/or longer term data series in order to predict the distribution of a response variable. In order to link response and predictor variables that are not sampled at the same location or time, geospatial interpolation techniques are applied. Here, we provide a review of 104 environmental variables from each of 8 water column properties: Temperature, Salinity, Current Speed, Maximum Seasonal Mixed Layer Depth, Bottom Shear, Sea Surface Chlorophyll a, Primary Production and Dissolved Inorganic Nutrients for the ‘Newfoundland and Labrador Region’ (a combined spatial extent of DFO’s Placentia Bay-Grand Bank and Newfoundland and Labrador Shelves Large Ocean Management Areas). All of these variables have potential biological relevance to benthic invertebrate species. Original data sources were the Global Ocean Reanalyses and Simulations (GLORYS), the Sea-viewing Wide Field-of-view Sensor (SeaWIFS), and the World Ocean Database 2013 (WOD13). For each variable, the original data characteristics and diagnostics produced from spatial interpolation using ordinary kriging are detailed. Standard error and prediction maps are shown for each variable. Based on these diagnostics, a subset of these variables was subsequently used in species distribution models of corals, sponges, crinoids, ascidians and bryozoans in the Newfoundland and Labrador Region.
author Guijarro, J (via Mendeley Data)
author_facet Guijarro, J (via Mendeley Data)
author_sort Guijarro, J (via Mendeley Data)
title Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region
title_short Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region
title_full Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region
title_fullStr Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region
title_full_unstemmed Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Newfoundland and Labrador Region
title_sort characteristics of environmental data layers for use in species distribution modelling in the newfoundland and labrador region
publishDate 2019
url http://nbn-resolving.org/urn:nbn:nl:ui:13-r9-5oxs
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:120950
geographic Newfoundland
geographic_facet Newfoundland
genre Labrador region
Newfoundland
genre_facet Labrador region
Newfoundland
op_relation 1
p32f6y5ph5
http://nbn-resolving.org/urn:nbn:nl:ui:13-r9-5oxs
doi:10.17632/p32f6y5ph5.1
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:120950
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
Javier Guijarro
op_doi https://doi.org/10.17632/p32f6y5ph5.1
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