Table 6.17. Cumulative area of land converted to plantation from 1940-1989 48
Table 6.18. Symbols used in algorithms for biomass burning of forest land 50
Table 6.19. Comparison of carbon pools modelled under the previous T2 model and the current T3 FullCAM implementation 51
Table 6.20. Temperate Forest wildfire and natural disturbance areas, Australia, ha, 1990-2017 55
Table 6.21. Calculations for the natural disturbance test in States and Territories, 1990-2017 56
Table 6.22. Emissions and removals from forest land remaining forest land (1990-2017) (Gg CO₂-e) 61
Table 6.23. Balancing of natural disturbance CO₂ emissions and removals 64
Table 6.24. Forest land remaining forest land: recalculation of total CO₂ -e emissions (Gg), 1990-2016 68
Table 6.25. Example of the different partitioning of biomass to each of the tree components under different types of plantation species. Estimates are provided for a stand age of 10 years 70
Table 6.26. Percent carbon of tree components - land converted to forest land 71
Table 6.27. Management actions, the FullCAM events used to represent them and the choices available through parameterisation of the FullCAM event 71
Table 6.28. Plantation management database - Time series management regime 72
Table 6.29. Tree component annual turnover rates 73
Table 6.30a. Decomposition rates of standing dead pools 73
Table 6.30b. Debris decomposition rates 73
Table 6.31. Cumulative area of grassland converted to forest land 1990-2016 74
Table 6.32. Cumulative area of croplands and settlements converted to forest land 1990-2017 74
Table 6.33. Cumulative area of wetland converted to forest land 1990-2017 76
Table 6.34. Annual net emissions for land converted to forest land, 1990-2017 (Gg CO₂ -e) 76
Table 6.35. Land converted to forest land: recalculation of total CO₂ -e emissions (Gg), 1990-2016 80
Table 6.36. Calculations used to develop tier 2 coefficients for perennial woody crops 84
Table 6.46. FullCAM configuration used for the forest land converted to cropland and grassland sub-categories 103
Table 6.47. Example of the different partitioning of biomass between the tree components under different types of major vegetation group (MVG). Estimates are for mature stands of assumed stand age 100 years 105
Table 6.48. Carbon content of tree components - forest conversion categories 106
Table 6.49. Tree component turnover rates 106
Table 6.50a. Decomposition rates for standing dead pools used in the forests model 106
Table 6.50b. Decomposition rates for debris pools used in the forests model 106
Table 6.51. Cumulative area of land converted to grassland 1990-2017 (ha) 108
Table 6.52. Net emissions and removals from land converted to grassland sub-categories 1990-2017 (Gg CO₂ -e) 109
Table 6.53. Forest land converted to grassland: recalculation of total CO₂ -e emissions, 1990-2015 115
Table 6.54. Wetlands converted to grassland: Comparison of the 2019 submission to the 2018 submission for CO₂ -e emissions 1990-2016 116
Table 6.55. Area and net emissions of sparse woody vegetation transitions, UNFCCC Wetlands remaining wetlands 118
Table 6.56. Annual emissions calculated for aquaculture (use) within the wetlands remaining wetlands category 119
Table 6.57. Annual area and emissions for seagrass removal within the wetlands remaining wetlands category 120
Table 6.58. Wetlands remaining wetlands: recalculation of total CO₂ -e emissions, 1990-2016 121
Table 6.59. Cumulative areas of forest land converted to wetlands (flooded land), and associated net annual emissions 1990-2017 123
Table 6.60. Recalculation of total CO₂ -e emissions, 1990-2016 124
Table 6.61. Area and net emissions of sparse woody vegetation, settlements remaining settlements 125
Table 6.62. Settlements remaining settlements: recalculation of total CO₂ -e emissions, 1990-2016 126
Table 6.63. Cumulative area of land converted to settlements 1990-2017 (ha) 128
Table 6.64. Net emissions from land converted to settlements 1990-2017 (Gg CO₂ -e) 128
Table 6.65. Land converted to settlements: recalculation of total CO₂ -e emissions, 1990-2016 회전 130
Table 6.66. Basic densities, moisture and carbon contents 133
Table 6.67. Destination of material lost from service life (kt C) 134
Table 6.68. Decomposition rates and maximum possible loss 137
Table 6.69. Carbon stock and emissions outcomes (kt C) 137
Table 6.70. Net emissions from harvested wood products 1990-2017 (Gg CO₂ -e) 138
Table 6.71. Recalculations of the HWP inventory 139
Table 6.A.1. Landsat Image sequence 150
Table 6.A.2. CIVP-4 verification results for the 3-class woody vegetation product where no change was indicated 161
Table 6.A.3. Outcomes of operator assessment of CPN classification for CIVP-4 162
Table 6.A.4. outcomes of operator assessments in previous verification programmes 162
Table 6.A.5. Estimated land clearing 1940-1972: comparison of extrapolation methods 168
Table 6.B.1. Mean (± SD) observed and predicted biomass ratios for native forest 175
Table 6.B.2. Collation of decomposition constants (k) fitted to a single exponential decay model of observed in situ decay of coarse woody debris, from South-West, Western Australia 177
Table 6.B.3. Field crops accounting for ≥95 per cent (l), and additional crops for ≥99 per cent (O) of field crop sowings for Australia as a whole, and in each Australian State in 2006 (from Unkovich et al. 2009) 181
Table 6.B.4. Plant partitioning by crop and pasture type 182
Table 6.B.5. Initial litter mass and decomposition rates and carbon use efficiency for crop systems 184
Table 6.B.6. Turnover rates applied to crop and pasture systems 184
Table 6.B.7. Roth-C model including soil redistribution globally fitted decomposition rates and their goodness of fit 185
Table 6.E.1. List of climate and productivity maps developed for land sector reporting in the National Inventory System 203
Table 6.E.2. Agricultural census year data used to provide crop representation for five-year periods 205
Table 6.E.3. Example land use table 209
Table 6.F.1. Range of FPI (P) values on which plantation types occur, the minimum, average and maximum growth rates (Mean Annual Volume Increment, m 3 ha -1 yr -1 ) and rotation length 217
Table 6.H.1. Tier 2 forest coefficients used to estimate emissions and removals from first time forest clearing 227
Table 6.H.2. Biomass accumulated by crop and grass species on cleared land 227
Table 6.J.1. Mangrove (MG) and tidal marsh (TM) parameter values. The values are weighted averages of values obtained from the scientific literature. References are in Table 6.J.4 235
Table 6.J.2. The relative abundance of common mangrove species used in the modelling. References are listed in Table 6.J.5 236
Table 6.J.3. The relative proportion of mangrove, tidal marsh and unvegetated (salt pan, mud flat, tidal flat) within the intertidal wetland. References are listed in Table 6.J.5 236
Table 6.J.4. Source documents for informing the development of species-specific or locality-specific parameter and emission factor values in Table 6.J.1. Full details are... 238
Table 6.J.5. Sources of biogeographical information that informed the relative abundance of mangrove species within mangrove habitats (Table 6.J.2), and the... 240
Table 6.J.6. Species relative abundance within each Coastal Region. References are listed in Table 6.J.8 240
Table 6.J.7. Seagrass model parameter values obtained from the scientific literature. References are listed in Table 6.J.9 241
Table 6.J.8. Sources of biogeographical and relative abundance data for seagrass species within Australian state waters. Full details are provided in the source... 242
Table 6.J.9. Sources of seagrass model parameter values. Full details are provided in Table 6.J.12 242
Table 6.J.10. List of locations subject to capital dredging projects recorded for the period 1990 to 2016. Shapefiles (Kettle, 2017) of each project provide a polygon representing the dredge footprint and area excavated 242
Table 6.J.12. Source documents list for Mangrove/Tidal marsh 245
Table 6.K.1. Assumed patchiness (P, varying between 0 and 1) in various fire zones of Australia. Data sources: Meyer et al. (2015) and Roxburgh et al. (2015) 258
Table 6.K.2. 'Rules' applied when simulating prescribed fires or wildfires prior to 1988; including, typical return intervals, Julian days at which fires occur, area of the fire scar,.. 258
Table 6.K.3. Average growth and die-back (Tonnes DM) simulated for the three different grasses simulated within the fire zones; Perennial grasses in southern fire zones,... 260
Table 6.K.4. Values applied in FullCAM for rates of litterfall of foliage, bark and branches (L, per cent month-1), and the proportional area occupied by grasses (A grass )... 261
Table 6.K.5. Values of calibrated FullCAM parameters for the percentage of live biomass-C that was assumed to be converted to either CO₂ -C or the standing dead... 262
Table 6.K.6. Values of calibrated FullCAM parameters for the percentage of debris-C that was assumed to be converted to CO₂ -C as a result of fire. Two values are provided... 263
Table 6.K.7. Nitrogen to Carbon ratio in fuel burnt (C) 264
Table 6.K.8. Molecular Mass conversion factors 265
Table 6.K.9. CH₄Emission Factors (Gg CH₄-C/Gg C) 266
Table 7.34. 5.B Biological Treatment of Solid Waste: recalculation of emissions (Gg CO₂ -e) 335
Table 10.1. Recalculations in the 2017 inventory (compared with the 2016 inventory) key reasons and quantitative impact 339
Table 10.2. Estimated recalculations for this submission (compared with last year's submissions 1990, 2008-2016) 345
Table 10.3. Estimated recalculations for this submission (compared with last year's submission 1990-2016) 346
Figures
Figure 6.1. Net CO₂-e emissions from land use, land use change and forestry, by sub-category,1990-2017 14
Figure 6.2. Area harvested in native forests 1990-2017 16
Figure 6.3a. Area of new plantings 1990 to 2017 16
Figure 6.3b. Cumulative area of post-89 Softwood and Hardwood plantations 1990-2016 17
Figure 6.4. Area of sparse woody vegetation gains and losses, kha, 1970-2017 18
Figure 6.5. Area of primary and secondary forest conversion and regrowth, Australia, 1990-2017 19
Figure 6.6. Disaggregated emissions and removals associated with forest conversions 21
Figure 6.7. Carbon stocks on the Australian continent, 2016, t/ha 22
Figure 6.8. Carbon stock changes in South-Western Australia due to forest gains and losses, 1990-2016, t/ha 22
Figure 6.9a. Long-term average annual rainfall 24
Figure 6.9b. Long-term average annual temperature 25
Figure 6.10. Map of land use in Australia 25
Figure 6.11. Forest extent in Australia 28
Figure 6.12. Cropland remaining cropland distribution in Australia 29
Figure 6.13. Grassland remaining grassland distribution in Australia 29
Figure 6.14. Examples of forest types and clearing activity 30
Figure 6.15. AVHRR burned area frequency and extent (1988-2018) 37
Figure 6.16. The National Plantation Inventory regions 49
Figure 6.17. Diagrammatic example indicating how spatial fire is implemented within FullCAM 52
Figure 6.18. Interannual variability from wildfire, including natural 'background' emissions and removals (total MLP flux) 54
Figure 6.19. Estimated removals in Harvested Native Forests, FullCAM model outputs compared to national harvesting statistics (ABARES, 2017a) 62
Figure 6.20. Comparison of Pre-90 Plantation emissions from old FullCAM Estate model and new spatial simulation 63
Figure 6.21a. Comparison between FullCAM-predicted: (a) fuel loads, and (b) emissions of CO₂ -C and that expected based on previous NIR-based estimates... 66
Figure 6.21b. Example of FullCAM replication of expected (or previous NIR estimates) emissions and fuel dynamics within patches of burnt land within fire scars... 66
Figure 6.21c. Example of FullCAM replication of expected (or previous NIR estimates) emissions and fuel dynamics within patches of burnt land within fire scars... 67
Figure 6.21d. Tier 2 (original approach) and Tier 3 (spatial-temporal application of FullCAM) based estimates of CO₂ -C emissions over the 1990-2016 NIR ... 67
Figure 6.22. Yield rate of tree stem mass (dm t/yr) output from Tier 2 and Tier 3 methodology, 1990-2014 78
Figure 6.23. Soil carbon (t C/yr) output from Tier 2 and Tier 3 methodology, 1990-2014 78
Figure 6.28. Net CO₂ -e emissions from soils in grassland remaining grassland, 1990-2017 98
Figure 6.29. Barcaldine SA2 region, soil carbon stock change charted against rainfall inputs in FullCAM 99
Figure 6.30. Diagram representing the spatially explicit approach for estimating forest land conversion sub-categories 104
Figure 6.31. Tier 3 FullCAM outputs for forest land converted to cropland and grassland showing emissions due to past clearing 105
Figure 6.32. Emissions from forest land converted to cropland and grassland output from Tier 2 and Tier 3 methodology from 1990-2014 111
Figure 6.33. Observed re-clearing 1975-2017 112
Figure 6.34. Sensitivity of 1990 emissions estimate (Forest land converted to other land uses) to Monte Carlo simulations of re-clearing scenarios prior to 1990 112
Figure 6.35. Structure of the Wood Products Model 135
Figure 6.36a. Carbon Stocks on the Australian Continent, 2016, t/ha 143
Figure 6.36b. Carbon Stocks in South-East Queensland, 2016, t/ha 144
Figure 6.37a. Carbon stock changes in Australia due to forest gains and losses 1990-2005, t/ha 145
Figure 6.37b. Carbon stock changes in South-East Queensland due to forest gains and losses 1990-2005, t/ha 146
Figure 6.38a. Carbon stock changes in Australia due to forest gains and losses 2005-2016, t/ha 147
Figure 6.38b. Carbon stock changes in South-East Queensland due to forest gains and losses 2005-2016, t/ha 148
Figure 6.A.1. The 37 1:1 million scale map tiles used in the remote sensing programme 150
Figure 6.A.3. 2018 Landsat 8 surface reflectance image of Australia 153
Figure 6.A.4. 3-class algorithm to detect entire range of woody vegetation 154
Figure 6.A.5. Comparison of traditional 2-class forest and non-forest product with the new 3-class product 155
Figure 6.A.6. Images of forest extent and change, showing how the CPN gap-fills missing data due to cloudy imagery 156
Figure 6.A.7. The series of continuous improvement and verification programmes 160
Figure 6.A.8. Example of ancillary datasets in the Attribution Reference Database that were used to confirm human induced changes 163
Figure 6.A.9. Pixel level comparison of the clearing data of the two systems - national inventory (1972-2015) and Queensland DES (1988-2015) 164
Figure 6.A.10. ERF data used to identify reforestation across the time series 165
Figure 6.A.11. Examples of outputs from LiDAR drone analysis 166
Figure 6.A.12. Estimated area of land clearing and actual land clearing (Source: ABARES various) 167
Figure 6.B.1. The FullCAM model pool structure 170
Figure 6.B.2. Effects of varying age of maximum current annual increment for three values of parameter k (5, 10 and 15 years), corresponding to BL a = 3.1, 5.6 and 8.1 years, respectively 174
Figure 6.B.3. FullCAM model structure with regard to standing dead (st) pools, and how these may be created from live biomass pools following disturbance events,... 176
Figure 6.B.4. Predicted and observed (a) litter mass, and (b) coarse woody debris (CWD) under various forest types, including: mature (100 year) woodlands... 179
Figure 6.B.5. Relationship between observed and predicted carbon stocks (Mg C ha -1 ) in surface soil (0-30 cm) for: (a) total soil organic carbon... 180
Figure 6.B.6. Global optimisation of the Roth-C model (using decomposition parameters for RPM and HUM) against the measured C of the RPM (POC),... 186
Figure 6.B.7. Brigalow continuous wheat (a, c & e) and Brigalow continuous pasture (b, d & f) with Roth-C local model fits (black line) and global model fits... 187
Figure 6.B.8. FullCAM outputs (solid lines) using global decompositions parameters with field measured (MIR predicted) (dotted points) total soil carbon... 188
Figure 6.B.9. Verification of FullCAM estimates using measured soil carbon data from the DEDJTR (a) and CSIRO Agriculture and Food (b) 189
Figure 6.B.10. Comparison of FullCAM simulations with APSIM simulations for the selected sites (a) Brigalow - Wheat/Sorghum,... 190
Figure 6.B.11. Comparison for soil carbon response to changes in management practices for FullCAM and from domestic empirical literature and international practice 191
Figure 6.C.1. 250m slope and aspect corrected productivity index map 194
Figure 6.D.1. The assumed initial biomass relationship 195
Figure 6.D.2. (a) Observed vs. predicted biomass for the predictions using Equation 6D_1. (b) Observed vs. predicted biomass for the predictions... 196
Figure 6.D.3. (a) Original FullCAM maximum biomass layer (t DM ha -1 ). (b) Revised maximum biomass layer (t DM ha -1 ). (c) Coefficient of variation... 197
Figure 6.D.4. Observed vs. predicted biomass for the predictions using Equation 6D_2 when observations were withheld from model fitting and used... 198
Figure 6.D.5. Comparison of mean above-ground biomass across the 5739 observed data points with the mean biomass from the original (Equation 6D_1)... 199
Figure 6.E.1. Baseline map of organic carbon in Australian Soil (Viscarra-Rossel et al. 2014) 200
Figure 6.E.2. Spatial distribution of soil organic carbon fractions (POC, HOC, ROC) and the number of observations per Australian Soil Classification order 201
Figure 6.E.3. The Australian three-dimensional soil grid (Clay): Australia's contribution to the GlobalSoilMap project (Viscarra-Rossel, submitted) 202
Figure 6.E.4. Long-term average annual evaporation 203
Figure 6.E.5. Long-term average number of frost days per year 204
Figure 6.E.6. Adoption of changed tillage practices in Australia: 1970-2013 206
Figure 6.E.7. Adoption of changed tillage practices in Australia by state: 1970-2013 207
Figure 6.E.8. Changing allocation of management practices for cropland since 1970, generated from the management crop management... 207
Figure 6.E.9. Pasture Lands of Northern Australia 208
Figure 6.E.10. Australian Statistical Geography Standard, statistical area level 2 (SA2) boundaries (Pink 2010) 210
Figure 6.E.11. Conceptual model of annual crop growth module 211
Figure 6.E.12. Conceptual model of perennial grass/pasture module 211
Figure 6.E.13. Australian average crop yields for crop, tonnes dry matter/ha/year, 1970-2016 212
Figure 6.E.14. Exponential equation for calculating fractional daily growth for an annual crop/pasture, where the value on the numerator... 213
Figure 6.F.1. Effect of Type 1 and Type 2 management practices on (a) cumulative and (b) annual growth 215
Figure 6.F.2. Actual vs predicted r values for hardwood and softwood plantations by State and NPI 218
Figure 6.G.1. Major vegetation groups (MVG) 221
Figure 6.H.1. Initial assumed biomass of land cleared post-1989 which has entered Australia's deforestation accounts 226
Figure 6.I.1. National Inventory Model - Sawmilling wood flows 228
Figure 6.I.2. National Inventory Model for Wood Products - Wood flows in preservative treated products 229
Figure 6.I.3. National Carbon Accounting Model for Wood Products - Wood Flows in plywood production 230
Figure 6.I.4. National Inventory Model for Wood Products - Wood flows in plywood production 231
Figure 6.I.5. National Inventory Model for Wood Products - Wood flows in MDF and particleboard manufacture 232
Figure 6.I.6. National Inventory Model for Wood Products - Wood flows in pulp and paper manufacture 233
Figure 6.J.1. Australian coastal regions related to the development of model parameters for coastal wetlands 234
Figure 6.K.1. Comparison between FullCAM-predicted: (a) fuel loads, and (b) emissions of CO₂ -C and that expected based on previous NIR-based... 264
Figure 7.1. Trends in methane generation, recovery and emissions from solid waste disposal, 1990-2017 289