Littoral Rainforest mapping in the Wet Tropics

Full description

The data represents the output from a Northern Australian Environmental Resources Hub NESP project titled "Mapping to underpin recovery planning for Littoral Rainforest and Coastal Vine Thickets (LRF) in the Wet Tropics".
The following spatial layers were derived:
•\tLRF vegetation that ‘wholly-equates’ to the EPBC Listing Advice
•\t‘Potential’ LRF delineating areas consistent with broad characteristics of the community described in the EPBC Listing Advice
•\tInundation statistics for each patch of wholly-equate LRF and potential LRF (patches defined by RE mapping) indicating:
o\tthe proportion of each patch inundated with 80 cm sea-level rise
o\tthe proportion of each patch inundated at each of 8 ARIs with and without sea-level rise
o\tthe ARI at which a patch first becomes inundated
o\tthe ARI at which a patch is >20% inundated
o\tthe ARI at which a patch is >50% inundated

The data available for download include two GIS shapefiles and one excel spreadsheet:
1.Shapefile LRF_Wholly - includes the patches that wholly equate with the EPBC listing advice and inundation statistics for those patches
2. Shapefile LRF_Potential_rf - includes the patches that are captured as consistent with the broad characteristics of the EPBC listing advice and inundation statistics for those patches
3. Excel spreadhseet 'Shape file heading descriptions' provides a detailed description of the attributes contained in the shapefiles.
All users should consult the Final Report as per the link below (Related Material) for the full explanation of the data, methodology and other supporting information.
Lineage: Mapping the location of LRF in the Wet Tropics involved an iterative GIS and field-ground-truthing process. This project used coastal LiDAR data (1 m grid, 0.15 m accuracy) to compile fine-scale terrain layers to derive inundation levels for an 80 cm sea-level rise and for eight storm surge. Annual Recurrence Intervals (ARIs) between 20 and 10,000 years. Spatial layers of the location of LRF and inundation were overlaid to determine the probability and magnitude of risk to the ecological community from these effects and to prioritise management interventions.