A framework for maximising the benefit from retaining regrowth on private land

The dataset contains a README file and three folders: Code; CSV and Data. The 'Code' folder contains the three Jupyter notebooks that were used to complete this analysis. This includes 1. ‘Land_use_maps’ – developing the land cover maps which are required to develop a regrowth vegetation change model in Dinamica EGO; 2. ‘Spatial_variables’ – developing the spatial variables to a correct format as required to develop a regrowth vegetation change model in Dinamica EGO and 3. ‘Spatial_analysis’ – processing of the Dinamica outputs, as well as the threatened species habitat value, and a generate an overall expected benefit map. The two CSV files contain are 1. ‘expert_elic_results’ – results from the expert elicitation, which involved 47 experts and 135 completed surveys on 33 taxa and 2. ‘transition_rates’– contains the bioregion-specific transition rates which were used in the regrowth vegetation change model in Dinamica EGO. The 'Data' folder contains the twenty products necessary to run this analysis, 18 raster files created in Dinamica EGO, a shapefile of threatened species habitat distributions and a shapefile of regrowth - see the README file for further information on these products.