This folder contains raster data in asc format to be used with Omniscape to visualise predicted flow across a study area raster, using the core breeding habitat cells ('Saltwater crocodile core breeding habitat cells.asc') for saltwater crocodiles (Crocodylus porosus) in the Northern Territory, Australia, the optimized resistance surface ('Saltwater crocodile optimized resistance surface.asc'), and core habitat cells ('Saltwater crocodile core habitat cells.asc') as ground nodes, effectively representing locations where current could ‘settle’.

See Landau, V. A., Shah, V. B., Anantharaman, R., & Hall, K. R. (2021). Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829. doi: 10.21105/joss.02829

'breeding_sim_prep.asc' and 'coremarg_sim_prep.asc' were generated from the habitat quality data by Fukuda et al. (2007) and Fukuda and Cuff (2013), using esri ArcGIS version 10.6.1.

'resistance2.asc' was generated from the habitat quality data by Fukuda et al. (2007) and Fukuda and Cuff (2013), and genetic data for C. porosus genotyped by Diversity Arrays Technology (Canberra, Australia) using the DArTseq approach and further processed by the authors using ResistanceGA R package (Peterman, 2018).

References

Fukuda, Y., & Cuff, N. (2013). Vegetation communities as nesting habitat for the saltwater crocodiles in the Northern Territory of Australia. Herpetological Conservation and Biology, 8(3), 641–651. http://www.herpconbio.org/Volume_8/Issue_3/Fukuda_Cuff_2013.pdf

Fukuda, Y., Whitehead, P., & Boggs, G. (2007). Broad-scale environmental influences on the abundance of saltwater crocodiles (Crocodylus porosus) in Australia. Wildlife Research, 34(3), 167–176. https://doi.org/10.1071/WR06110

Peterman, W. E. (2018). ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms. Methods in Ecology and Evolution, 9(6), 1638–1647. doi: 10.1111/2041-210X.12984