Author Identifiers
Jarrad McKercher’s ORCID record 
Joao C. Filipe’s ORCID record Eddie van Etten’s ORCID record
Publication Date
2026
Document Type
Dataset
Publisher
Edith Cowan University
School or Research Centre
School of Science / Conservation Biodiversity Research Centre
Funders
This research was partly funded by Perth Airport Pty Ltd
Description
To protect urban biodiversity, translocation of threatened and endangered species can be utilised, but requires a great understanding of the species' current habitat to determine and assess prospective translocation sites. This study assessed the combined use of species distribution modelling and electrical resistivity tomography to inform selection of translocation sites for rare threatened species. This repository entry contains the environmental predictor data and R script used for the Maximum Entropy species distribution modelling of the threatened Conospermum undulatum. Additionally, the jupyter notebook python script used for the geophysical inversion into subsurface conditions is also provided. Due to the threatened nature of the species, any data containing geographical coordinates or locations of C. undulatum is withheld to ensure conservation of the species. The combined use of species distribution modelling and geophysics provided supporting results which could be used to delineate inter-site regions of suitable habitat and proved an appropriate method for large- and fine-scale translocation site selection.
Research Activity Title
Propagation, Research and Monitoring of Wavy-leaved Smokebush and Keighery's Macarthuria
Research Activity Description
Research into the propagation and monitoring of two threatened species Conospermum undulatum and Macarthuria keigheryi.
Methodology
Environmental predictor data was collected via Data.wa.gov.au, Google Earth Engines Data Repository, generated from a 5 m raster via SAGA GIS, and collect from field geophysical field surveys.
Start of data collection time period
2024
End of data collection time period
2024
Research Project Links
File Format(s)
GeoTIFF (.tiff), R File (.r) and IPYNB File (.ipynb)
File Size
4.6 GB
Viewing Instructions
The GeoTIFF must be opened via a Geographical Information System. R File must be opened in an R friendly environment. Jupyter notebook can be opened via the Jupyter lab application.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Contact
Enquiries about the dataset may be sent to Jarrad McKercher: j.mckercher@ecu.edu.au
Citation
McKercher, J., Filipe, J. C., van Etten, E., & McGrath, G. (2026). Informing translocation site selection of endangered rare flora through SDM and geophysics. [Data set]. Edith Cowan University. https://doi.org/10.25958/spd6-2b36