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Downscaled Projections of Bioclimatic Indices for Species Distribution Modelling in Australia (1975 - 2099) 

Ver: 1.0
Status of Data: completed
Update Frequency: asNeeded
Security Classification: unclassified
Dataset Published: 2026-03-31
Dataset Last Modified: 2026-08-18
Metadata viewed 31 times
Dataset accessed 9 times
Metadata Created: 2026-04-22
Metadata Last Modified: 2026-08-19
How to cite this collection:
Toombs, N., Ma, S., Chapman, S. & Trancoso, R. (2026). Downscaled Projections of Bioclimatic Indices for Species Distribution Modelling in Australia (1975 - 2099). Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/am36-t566 Toombs, N., Ma, S., Chapman, S., Trancoso, R., 2025. Downscaled projections of bioclimatic indices for species distribution modelling in Australia (1975 - 2099). 
Data can be accessed from the following links:
OPeNDAPNetCDF files
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
Climate change is a major factor contributing to biodiversity loss globally and in Australia. Addressing this conservation challenge requires information about present and future species distributions. To improve assessment of future species distributions, we have calculated 19 bioclimatic indices using dynamically and statistically downscaled Coupled Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs) over Australia at a 5 km resolution through 1975 – 2099 for three emissions scenarios (SSP1-2.6, SSP2-4.5 and SSP3-7.0). We used the Conformal Cubic Atmospheric Model (CCAM) for dynamical downscaling to 10km, and the Quantile Matching for Extremes (QME) method for statistical downscaling the CCAM output to 5km. This dataset will be useful for the study of climate change impacts on species distributions in Australia.
 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. The Queensland Future Climate Projections 2 dataset (QldFCP-2) was produced by the Queensland Future Climate Science Program, which aims to support climate adaptation and natural disasters preparedness and was funded by the Queensland Government, Australia (dataset DOI: https://doi.org/10.25914/8fve-1910). Citation: Chapman, S., Syktus, J., Trancoso, R., Thatcher, M., Toombs, N., Wong, K. K-H., Takbash, A., 2023. Earths Future. Evaluation of dynamically downscaled CMIP6-CCAM models over Australia.
 
Purpose
To provide high-resolution climate data that can be used for species distribution modelling over Australia. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
The entire Australian continent. 
Temporal Coverage
From 1975-01-01 to 2099-12-31 
Spatial Resolution

Distance of 5000 Metres

Vertical Extent

Data not provided.

ANZSRC - FOR
Ecology
Global change biology
Data Stream
Model-Derived Grids
Soil and Landscape Grid
GCMD Sciences
ATMOSPHERIC TEMPERATURE - AIR TEMPERATURE
PRECIPITATION - RAIN
Horizontal Resolution
1 km - < 10 km or approximately .01 degree - < .09 degree
Parameters
annual mean temperature
annual total precipitation
isothemality
max temperature of warmest month
mean diurnal range
mean temperature of coldest quarter
mean temperature of driest quarter
mean temperature of warmest quarter
mean temperature of wettest quarter
min temperature of coldest month
precipitation of coldest quarter
precipitation of driest month
precipitation of driest quarter
precipitation of warmest quarter
precipitation of wettest month
precipitation of wettest quarter
precipitation seasonality
temperature annual range
temperature seasonality
Project
Others
Temporal Resolution
Climate Normal (30-year climatology)
Topic
biota
climatologyMeteorologyAtmosphere
environment
User Defined
Bioclimatic Indices
Climate Change
Species Distribution Modelling
Author
Toombs, Nathan
Ma, Shaoxiu
Co-Author
Chapman, Sarah
Trancoso, Ralph
Contact Point
Toombs, Nathan
Publisher
Terrestrial Ecosystem Research Network
Downscaled projections of bioclimatic indices for species distribution modelling in Australia - a case study for the greater glider
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/ 
1. The user accepts all responsibility and risks associated with the use of this data. 2. The Queensland Government makes no representations or warranties in relation to this data, and, to the extent permitted by law, all warranties relating to accuracy, reliability, completeness, currency or suitability for any particular purpose, and all liability for any loss, damage or costs (including consequential damage) incurred in any way (including but not limited to that arising from negligence) in connection with any use of or reliance on this data are excluded or limited. 3. The user agrees to continually indemnify the State of Queensland (and its officers and employees) against any loss, cost, expense, damage and liability of any kind (including liability in negligence) caused by the use of this data or any product made from this data.