Northern Giant-petrel (Macronectes halli) - current and future species distribution models

Observation records were filtered from the Atlas of Living Australia's (ALA) database based on ALA's 'assertions', expert-derived range polygons and expert opinion, and those observations inappropriate for modelling were excluded. Only species with >20 unique spatiotemporal re...

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Bibliographic Details
Other Authors: Jeremy James VanDerWal (hasAssociationWith), Jeremy James VanDerWal (hasCollector)
Format: Dataset
Language:unknown
Published: James Cook University
Subjects:
GIS
Online Access:https://researchdata.edu.au/northern-giant-petrel-distribution-models/10441
https://researchdata.jcu.edu.au//published/7837152b1678ebca082e80ba0d433bbf
id ftands:oai:ands.org.au::10441
record_format openpolar
spelling ftands:oai:ands.org.au::10441 2024-09-09T19:41:05+00:00 Northern Giant-petrel (Macronectes halli) - current and future species distribution models Jeremy James VanDerWal (hasAssociationWith) Jeremy James VanDerWal (hasCollector) Spatial: 144.497703748,-9.91029347568 133.0719225,-9.91029347568 121.646141252,-13.182069379 110.923485004,-21.2339713912 114.790672503,-38.3639598931 132.54457875,-35.2688432623 147.837547497,-46.5179669197 158.384422495,-24.1526559825 144.497703748,-9.91029347568 Spatial: Continental Australia Temporal: From 1990-01-01 to 2085-12-31 https://researchdata.edu.au/northern-giant-petrel-distribution-models/10441 https://researchdata.jcu.edu.au//published/7837152b1678ebca082e80ba0d433bbf unknown James Cook University https://researchdata.edu.au/northern-giant-petrel-distribution-models/10441 jcu.edu.au/tdh/collection/Northern Giant-petrel (Macronectes halli)/suitability https://researchdata.jcu.edu.au//published/7837152b1678ebca082e80ba0d433bbf https://researchdata.jcu.edu.au// geographic information system spatial data spatial analysis climate change GIS dataset ftands 2024-08-27T00:01:57Z Observation records were filtered from the Atlas of Living Australia's (ALA) database based on ALA's 'assertions', expert-derived range polygons and expert opinion, and those observations inappropriate for modelling were excluded. Only species with >20 unique spatiotemporal records were used for modelling. Current climate was sourced as monthly precipitation and temperature minima and maxima from 1975 until 2005 at a 0.05° grid scale from the Australian Water Availability Project (AWAP - http://www.bom.gov.au/jsp/awap/ ) (Jones et al 2007, Grant et al 2008). Future climate projections were sourced through a collaboration with Drs Rachel Warren and Jeff Price, Tyndall Centre, University of East Anglia, UK. This data is available on http://climascope.tyndall.ac.uk . Although new GCM runs for RCPs have not been fully completed, several research groups have implemented methods to utilize knowledge gained from SRES predictions to recreate predictions for the new RCPs using AR4 GCMs (e.g., Meinshausen, Smith et al. 2011; Rogelj, Meinshausen et al. 2012). The methods used to generate the GCM predictions for the RCP emission scenarios are defined at http://climascope.tyndall.ac.uk and in associated publications (Mitchell and Jones 2005; Warren, de la Nava Santos et al. 2008; Meinshausen, Raper et al. 2011). This data was downscaled to 0.05 degrees (~5km resolution) using a cubic spline of the anomalies; these anomalies were applied to a current climate baseline of 1976 to 2005 – climate of 1990 – generated from aggregating monthly data from Australia Water Availability Project (AWAP; http://www.bom.gov.au ). These monthly temperature and precipitation values user used to create 19 standard bioclimatic variables. These bioclimatic variables are listed at http://www.worldclim.org/bioclim . All downscaling and bioclimatic variable creation was done using the climates package (VanDerWal, Beaumont et al. 2011) in R ( http://www.r-project.org/ ). Used in the modelling were annual mean temperature, temperature seasonality, ... Dataset Giant Petrel Research Data Australia (Australian National Data Service - ANDS)
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic geographic information system
spatial data
spatial analysis
climate change
GIS
spellingShingle geographic information system
spatial data
spatial analysis
climate change
GIS
Northern Giant-petrel (Macronectes halli) - current and future species distribution models
topic_facet geographic information system
spatial data
spatial analysis
climate change
GIS
description Observation records were filtered from the Atlas of Living Australia's (ALA) database based on ALA's 'assertions', expert-derived range polygons and expert opinion, and those observations inappropriate for modelling were excluded. Only species with >20 unique spatiotemporal records were used for modelling. Current climate was sourced as monthly precipitation and temperature minima and maxima from 1975 until 2005 at a 0.05° grid scale from the Australian Water Availability Project (AWAP - http://www.bom.gov.au/jsp/awap/ ) (Jones et al 2007, Grant et al 2008). Future climate projections were sourced through a collaboration with Drs Rachel Warren and Jeff Price, Tyndall Centre, University of East Anglia, UK. This data is available on http://climascope.tyndall.ac.uk . Although new GCM runs for RCPs have not been fully completed, several research groups have implemented methods to utilize knowledge gained from SRES predictions to recreate predictions for the new RCPs using AR4 GCMs (e.g., Meinshausen, Smith et al. 2011; Rogelj, Meinshausen et al. 2012). The methods used to generate the GCM predictions for the RCP emission scenarios are defined at http://climascope.tyndall.ac.uk and in associated publications (Mitchell and Jones 2005; Warren, de la Nava Santos et al. 2008; Meinshausen, Raper et al. 2011). This data was downscaled to 0.05 degrees (~5km resolution) using a cubic spline of the anomalies; these anomalies were applied to a current climate baseline of 1976 to 2005 – climate of 1990 – generated from aggregating monthly data from Australia Water Availability Project (AWAP; http://www.bom.gov.au ). These monthly temperature and precipitation values user used to create 19 standard bioclimatic variables. These bioclimatic variables are listed at http://www.worldclim.org/bioclim . All downscaling and bioclimatic variable creation was done using the climates package (VanDerWal, Beaumont et al. 2011) in R ( http://www.r-project.org/ ). Used in the modelling were annual mean temperature, temperature seasonality, ...
author2 Jeremy James VanDerWal (hasAssociationWith)
Jeremy James VanDerWal (hasCollector)
format Dataset
title Northern Giant-petrel (Macronectes halli) - current and future species distribution models
title_short Northern Giant-petrel (Macronectes halli) - current and future species distribution models
title_full Northern Giant-petrel (Macronectes halli) - current and future species distribution models
title_fullStr Northern Giant-petrel (Macronectes halli) - current and future species distribution models
title_full_unstemmed Northern Giant-petrel (Macronectes halli) - current and future species distribution models
title_sort northern giant-petrel (macronectes halli) - current and future species distribution models
publisher James Cook University
url https://researchdata.edu.au/northern-giant-petrel-distribution-models/10441
https://researchdata.jcu.edu.au//published/7837152b1678ebca082e80ba0d433bbf
op_coverage Spatial: 144.497703748,-9.91029347568 133.0719225,-9.91029347568 121.646141252,-13.182069379 110.923485004,-21.2339713912 114.790672503,-38.3639598931 132.54457875,-35.2688432623 147.837547497,-46.5179669197 158.384422495,-24.1526559825 144.497703748,-9.91029347568
Spatial: Continental Australia
Temporal: From 1990-01-01 to 2085-12-31
genre Giant Petrel
genre_facet Giant Petrel
op_source https://researchdata.jcu.edu.au//
op_relation https://researchdata.edu.au/northern-giant-petrel-distribution-models/10441
jcu.edu.au/tdh/collection/Northern Giant-petrel (Macronectes halli)/suitability
https://researchdata.jcu.edu.au//published/7837152b1678ebca082e80ba0d433bbf
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