Document ID: chunk:federal_register_of_legislation:F2022L00555:body:0:p115
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within the Koala's physiological tolerances for 2030 and 2050, using the following formula applied to each cell in the projected Koala distribution rasters.
z = x +        ((yr2 - yr1)(y - x))
((yr3 - yr1))

Where x is the value of raster at yr1 (e.g. 2009), y is the value of raster at yr3 (e.g. 2070), and yr2 is the year for which values z are to be estimated (e.g. 2042). This formula assumes a linear interpolation between projections of koala distribution in year 1 and year 3 (Table 3). Models were resampled to 10km resolution and GDA 94 Albers projection (EPSG:3577) was used throughout.
Table 3. Years used for interpolation of climate estimates
Estimates                    Yr1   Yr3
Estimate for 2030 (Briscoe)  2009  2070
Estimate for 2050 (Briscoe)  2009  2070

Each raster was thresholded (Table 4) and any cell falling within the threshold was designated as suitable for the Koala. Thresholds were chosen from the baseline projection of each model at 1) BRISCOE: the value of the 'current' model within which 95% of records since 2000 fall (i.e. test omission 0.05) and 2) ADAMS-HOSKING: the equal sensitivity and specificity value (test omission 0.224).
Table 4. Thresholds applied to climate suitability rasters
Model                            Threshold value
Adams-Hosking – Maxent           0.407
Briscoe – NicheMapR – poor_low   0
Briscoe – NicheMapR – poor_med   0.454
Briscoe – NicheMapR – poor_high  0.772
Briscoe – Maxent – averages      0.373
Briscoe – Maxent – extremesA     0.387
Briscoe – Maxent – extremesB     0.364

As the models in Briscoe et al. (2016) and Adams-Hoskings et al. (2011a) predict future distributions beyond the current distribution of the Koala, each of these rasters was then intersected with areas where Koalas or their habitat are 'known' or 'likely' to occur (DAWE 2021a) to exclude areas where Koalas are unlikely to occur.
These rasters were then intersected with bioregions (DotE 2012; IBRA7) and the area and loss in area of land predicted to be within the physiological tolerance of the Koala was calculated for each of the 13 models. The minimum, maximum and median % loss was summarised across each of the 13 models.

Appendix 4 2019–2020 fire extent
Table 1. The area and proportion of land burned in the 2019–2020 bushfires within the area where the listed Koala and its habitat is known or likely to occur, by IBRA7 bioregion and by state/territory.
Numbers for likely plus known Koala distribution only are provided, excluding areas where Koalas may occur.
Queensland IBRA Regions   Extent burned within known + likely Koala distribution, ha (%)  Extent of known + likely
                                                                                          Koala distribution in region, ha
Brigalow Belt South       66,949 (1%)                                                     5,815,861
Brigalow Belt North       175 (<1%)                                                       3,393,155
South Eastern Queensland  112,310 (2%)                                                    4,513,639
Desert Uplands             (0%)                                                           1,747,897