Spatial environmental predictors for biological habitat modelling at a basin-scale in the Murray- Darling Basin

We compiled a set of dynamic spatial environmental data with a resolution of 3 arc-second resolution (approximately 90 m). These layers were to be used as potential predictor variables for creating high quality habitat maps for key species. The spatial environmental layers used included variables that change over time, mainly based on a bimonthly time-series of inundation depth across the MDB, and time-series information on rainfall.\nLineage: We created spatial environmental predictor layers that could be used with biological records to help to predict spatiotemporal patterns of occurrence and habitat quality for determined species across the Murray-Darling Basin. These layers were obtained from a variety of sources and aligned to a common 3s resolution (~90 m) spatial grid. All the layers were created in R.\n\n\nData products\n-\tLong-term inundation probability\n-\tRainfall over the previous 2 months; 4 months (time-series)\n-\tMean inundation depth in the previous 5 years; 10 years (time-series)\n-\tNumber of months since last inundation (time-series)\n-\tNumber of months inundated in the previous 10 years (time-series)\n\nEach environmental predictor layer are provided in a separate folder. \n\nAll spatial layers are in GDA94 geographic projection (EPSG:4283) and geotiff format.