Workflow to select complementary conservation areas based on different biodiversity attributes and connectivity metrics
- Ecoregions map
- Human footprint map
- RUNAP
- Any spatial layers used as features in the objective function. Examples: SDMs, Species Richness, Carbon index, water index
- Cost layer
Code to calculate the percentage of the distribution area protected for each species and the total area that should be protected in the objective function
Code to generate planing units and calculate metrics per planning unit
Code to rank planning units according to pareto function. The code performs the following actions:
- Define objective function
- Generate objective combinations
- Apply objective function to all the scenario combinations
- Ranks planning units
- Save planning unites
Calculate connectivity for different scenarios using Makurhini
Andres Felipe Suarez Castro a.suarezcastro@griffith.edu.au