Research Data

Koala (Phascolarctos cinereus) - current and future species distribution models

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General
Title
Koala (Phascolarctos cinereus) - current and future species distribution models
Type
Collection
Date Record Created
2012-11-05
Date Record Modified
2020-09-14
Language
English
Coverage
Date Coverage
2012-08-01 to 2012-11-01
Time Period
(no information)
Geospatial Location
  • Continental Australia
Description
Descriptions
  1. Type: brief

    This dataset consists of current and future species distribution models generated using 4 Representative Concentration Pathways (RCPs) carbon emission scenarios, 18 global climate models (GCMs), and 8 time steps between 2015 and 2085, for the Koala (Phascolarctos cinereus).

  2. Type: full

    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 >10 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.wwfus.org. 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.wwfus.org 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/jsp/awap/). 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, max and min monthly temperature, annual precipitation, precipitation seasonality, and precipitation of the wettest and driest quarters for current and all RCP scenarios (RCP3PD, RCP45, RCP6, RCP85) at 8 time steps between 2015 and 2085. Species distribution models were run using the presence-only modelling program Maxent (Phillips et al 2006). Maxent uses species presence records to statistically relate species occurrence to environmental variables on the principle of maximum entropy. All default settings were used except for background point allocation. We used a target group background (Phillips & Dudik 2008) to remove any spatial or temporal sampling bias in the modelling exercise.

  3. Type: note

    These species distribution models are can be found on the CliMAS Suitability tool at http://tropicaldatahub.org/goto/climas/suitability The dataset is a tarred, zipped file (.tar.gz), approximately 5GB in size and contains 609 ASCII grid files: * 1 current distribution map * 32 median maps - 8 time step median maps (averaged across all 18 GCMs) for each RCP * 576 maps - 8 time step maps for each GCM for each RCP

Related Publications
  1. Maximum entropy modeling of species geographic distributions
Related Websites
  1. http://bie.ala.org.au/species/Phascolarctos+cinereus
    ALA data record
  2. http://www.cs.princeton.edu/~schapire/maxent/
    Maxent software and further information
  3. https://eresearch.jcu.edu.au/tdh/data/633b4ccd-2e78-459d-963c-e43d3c8a5ca1
    Metadata for future climate layers
  4. http://tropicaldatahub.org/goto/climas/suitability
    CliMAS Suitability - website for visualising climate suitability maps for Australian Terrestrial Vertebrates
  5. http://researchdata.ands.org.au/tropical-data-hub-climate-change-impact-projection-tool
    Climate Change Impact Projection Tool - Service metadata record
Related Data
(no information)
Related Services
(no information)
Technical metadata
(no information)
People
Creators
  1. Managed by: Dr Jeremy Vanderwal , Centre for Tropical Biodiversity and Climate Change
Primary Contact
Dr Erin Graham, erin.graham@jcu.edu.au
Supervisors
(no information)
Collaborators
(no information)
Subject
Fields of Research
  1. 060208 - Terrestrial Ecology (060208) (060208)
Socio-Economic Objective
(no information)
Keywords
  1. Spatial Data / Analysis
  2. Climate Change
  3. species distribution
  4. Spatial Analysis
  5. Geographic Information System(s) (GIS)
Research Activity
(no information)
Research Themes
Tropical Ecosystems, Conservation and Climate Change
Rights
License
(no information)
License - Other
(no information)
Access Rights/Conditions
Open Access . If the data is not available via the provided link, please contact an associated party (preferrably the Manager as specified) for access.
Type
open
Rights
(no information)
Data Citation
Cite:
Vanderwal, Jeremy. (2012). Koala (Phascolarctos cinereus) - current and future species distribution models. James Cook University. (dataset). jcu.edu.au/tdh/collection/b478d63d-4adc-4fe8-9d4e-00ff0d6ad93e