Author Identifiers
Shaun Molloy
https://orcid.org/0000-0002-8659-8992
Robert Davis
https://orcid.org/0000-0002-9062-5754
Eddie van Etten
Publication Date
2017
Document Type
Dataset
Publisher
Zenodo
Description
Supplementary material from: Molloy SW, Davis RA, Dunlop JA, van Etten EJB (2017) Applying surrogate species presences to correct sample bias in species distribution models: a case study using the Pilbara population of the Northern Quoll. Nature Conservation 18: 27-46. https://doi.org/10.3897/natureconservation.18.12235
Supplementary material 1: GIS data sets used in variable assessments and map of Pilbara vegetation systems
Supplementary material 2: Full readout for the MaxEnt northern quoll SDM
Supplementary material 3: Weighted mean SDMs for individual algorithms and evaluation statistics (biomod2)
Research Activity Description
Language
eng
File Format(s)
3 word documents (.docx)
File Size
1.7, 9.4 & 14.0 MB
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Citation
Molloy, S. W., Davis, R. A., Dunlop, J., & van Etten, E. J. (2017). Applying surrogate species presences to correct sample bias in species distribution models; a case study using the Pilbara population of the Northern Quoll [dataset]. Zenodo. Retrieved from https://ro.ecu.edu.au/datasets/76
Applying surrogate species presences to correct sample bias in species distribution models; a case study using the Pilbara population of the Northern Quoll [dataset]_3.docx (3423 kB)
