The BFT integrates fine-scaled variability in vegetation composition and structure with spatial context, which is critical for ensuring the viability of populations. Thus, a raster data framework is employed which deems each location or gridcell in a landscape as contributing to biodiversity benefits to various degrees. The BFT combines 4 criteria (representation of ecosystems, the distinctiveness of ecosystems, ecosystem condition and neighbourhood connectivity) into an ecological process model.

Areas with high ‘Manage’ benefit’ are intended to highlight the best remaining examples of vegetation communities that address all criterion. The analysis assigns a higher manage benefit to sites that are in better condition. However, once other attributes are taken into account in the analysis, high manage benefit areas can range in condition from ‘moderate’ to ‘very good’. Areas with high Revegetation benefit are predominantly cleared or highly degraded examples of either existing or ‘original’ vegetation types that score highly across the other criteria.

Compressed files contain the following datasets:

1990Benefits.zip:

1990_ManageBenefit.tif - Conservation Manage benefits derived for 1990

1990_RevegetateBenefit.tif - Conservation Revegetate benefits derived for 1990

CCCCC_2020_Benefits.zip:

CCCCC_2020managebenefit.tif - Conservation Manage benefits for each of the 6 futures at 2020

CCCCC_2020revegetatebenefit.tif - Conservation Revegetate benefits for each of the 6 futures at 2020

CCCCC_2050_Benefits.zip:

CCCCC_2050managebenefit.tif - Conservation Manage benefits for each of the 6 futures at 2050

CCCCC_2050revegetatebenefit.tif - Conservation Revegetate benefits for each of the 6 futures at 2050

CCCCC = CAN45, CAN85, MIR45, MIR85, MPI45, MPI85