Expand View Figure 81 New digital soil map of Australia’s soil orders made possible using the SoilDataFederator Sources: Searle (2021a), Searle (2021b); map projection: Australian Albers GDA94 (ICSM n.d.) For more information, go toResources Share on Twitter Share on Facebook Share on Linkedin Share this link
Expand View Figure 81 New digital soil map of Australia’s soil orders made possible using the SoilDataFederator
Expand View Figure 82 Field data collection of soil properties is essential to the work of the TERN’s Surveillance and Landscape Observatories Photos: Ben Sparrow and Mark Grant For more information, go toResources Share on Twitter Share on Facebook Share on Linkedin Share this link
Expand View Figure 82 Field data collection of soil properties is essential to the work of the TERN’s Surveillance and Landscape Observatories
Expand View Figure 83 (a) Digital Earth Australia land cover in Australia (2015), classified for use in the National Land Account. (b) Detail for Alligator Rivers, Kakadu National Park. (c) Detail for Gunbower-Koondrook-Perricoota Forest Icon Site Notes: Definitions of land cover classes are given in ABS (2021e). See case study: Ecosystem accounting in a protected area Sources: DEA land cover (Landsat) (2021); map projection: Australian Albers GDA94 (ICSM n.d.) For more information, go toResources Share on Twitter Share on Facebook Share on Linkedin Share this link
Expand View Figure 83 (a) Digital Earth Australia land cover in Australia (2015), classified for use in the National Land Account. (b) Detail for Alligator Rivers, Kakadu National Park. (c) Detail for Gunbower-Koondrook-Perricoota Forest Icon Site
Expand View Figure 84 The 4 themes of the land accounts For more information, go toResources Share on Twitter Share on Facebook Share on Linkedin Share this link
Expand View Figure 85 Ecosystem types identified in the Gunbower-Koondrook-Perricoota Forest Icon Site in 2015 (top), and reference and modified states in the ‘inland floodplain eucalypt forests and woodlands’ ecosystem type (bottom) showing the causes of transitions between states and how that impacted the flow of ecosystem services in a small timber coupe in 2015 For more information, go toResources Share on Twitter Share on Facebook Share on Linkedin Share this link
Expand View Figure 85 Ecosystem types identified in the Gunbower-Koondrook-Perricoota Forest Icon Site in 2015 (top), and reference and modified states in the ‘inland floodplain eucalypt forests and woodlands’ ecosystem type (bottom) showing the causes of transitions between states and how that impacted the flow of ecosystem services in a small timber coupe in 2015
Expand View Figure 86 Water Observations from Space filtered summary product for Australia, derived from water observations from 1987 to 2014 Sources: Mueller et al. (2016), GA (2018); map projection: Australian Albers GDA94 (ICSM n.d.) For more information, go toResources Share on Twitter Share on Facebook Share on Linkedin Share this link
Expand View Figure 86 Water Observations from Space filtered summary product for Australia, derived from water observations from 1987 to 2014
Stock Removed (ha) Remnant (ha) Regrowth/modified (ha) Not applicable (ha) Opening stock (NVIS 4.1 published in 2012) 100,480,723 665,380,436 1,047,420 2,491,405 Removed 0 −1,262,780 301,626 −32,091 Remnant 1,262,780 0 241,793 −141,480 Regrowth/modified −301,626 −241,793 0 −611,356 Not applicable 32,091 141,480 611,356 0 Closing stock (NVIS 6.0 published in 2020) 101,473,968 664,017,343 2,202,195 1,706,478 ha = hectare; MVG = major vegetation group; MVS = major vegetation subgroup; NVIS = National Vegetation Information System Notes: Areas are based on NVIS extant (‘present’) vegetation mapping. Specifically, NVIS v4.1 MVS (DSEWPaC 2012) and NVIS v6.0 MVG (DAWE 2020g), using the following categories: ‘Remnant’ is the area within the ‘present’ extent of MVSs in NVIS v4.1 (DSEWPaC 2012) or the MVGs in NVIS v6.0 (DAWE 2020g). In the case of NVIS v6.0, any one of the MVGs listed as ‘remnant native vegetation’ in Figure 2. ‘Removed’ is the area within the ‘present’ extent of MVSs in NVIS v4.1 (DSEWPaC 2012) or the MVG in NVIS v6.0 (DAWE 2020j): Cleared, non-native vegetation, buildings. ‘Regrowth/modified’ is the area within the ‘present’ extent of MVSs in NVIS v4.1 (DSEWPaC 2012) or MVG in NVIS v6.0 (DAWE 2020j): Regrowth, modified native vegetation. ‘Not applicable’ comprises Sea and estuaries, and Unknown/no data. 2. NVIS is an aggregation of each jurisdiction’s mapping of native vegetation extent, and the timestamps of these source datasets are highly variable. For more information, go toNative vegetation Share on Twitter Share on Facebook Share on Linkedin Share this link
Soil organic carbon Soil depth 0–200 cm (Gt C) Soil depth 0–100 cm (Gt C) Soil depth 0–30 cm (Gt C) Stock (assuming no land use) 83.7 55.9 23.5 Loss (attributed to land use) 10.0 5.4 1.8 cm = centimetre; Gt C = gigatonnes of carbon Source: Sanderman et al. (2017a) For more information, go toCarbon Share on Twitter Share on Facebook Share on Linkedin Share this link
Soil organic carbon fraction Median (t/ha) Total (Gt) Total (Gt) – lower 95% confidence limit Total (Gt) – upper 95% confidence limit Particulate 7.8 5.4 3.8 7.9 Humus 27.3 20.8 14.2 27.1 Biologically resistant 13.1 9.7 5.6 13.8 Total 48.2 35.9 23.6 48.8 Gt = gigatonne; t/ha = tonnes per hectare Source: Viscarra Rossel et al. (2019b) For more information, go toCarbon Share on Twitter Share on Facebook Share on Linkedin Share this link
Soil classification order Vulnerability to soil organic carbon loss (index) Extent of soil class (hectares, thousands) Extent of soil class as a percentage of extent of all Australian soils Percentage of extent of soil class modified by land use Minimum Mean Maximum Organosols 0.34 0.84 1.29 1,253 0.16 4.4 Podosols 0.28 0.66 1.44 1,887 0.25 39.9 Kurosols 0.26 0.65 1.44 11,120 1.45 44.9 Ferrosols 0.24 0.53 1.39 5,883 0.77 24.2 Dermosols 0.20 0.50 1.48 23,302 3.04 25.1 Anthroposols 0.31 0.49 1.00 44 0.01 100.0 Chromosols 0.20 0.43 1.43 41,172 5.37 41.2 Sodosols 0.19 0.41 1.49 55,636 7.25 35.8 Hydrosols 0.19 0.40 1.42 22,553 2.94 7.8 Kandosols 0.19 0.40 1.45 163,421 21.30 11.9 Tenosols 0.19 0.40 1.54 113,294 14.77 3.3 Rudosols 0.19 0.39 1.48 155,505 20.27 1.7 Calcarosols 0.18 0.37 1.24 69,936 9.12 10.0 Vertosols 0.18 0.30 1.33 102,249 13.33 19.9 Note: Vulnerability is an index derived from the ratio of particulate organic carbon (POC) to the sum of humus (HOC) and resistant organic carbon (ROC). Sources: Soil organic carbon loss vulnerability (Viscarra Rossel et al. 2019b, Viscarra Rossel et al. 2019a); Australian soil classification national grid available from the Australian Collaborative Land Evaluation Program (ACLEP: CSIRO 2021a); soil classification orders (Isbell 2002) interpreted by Ashton & McKenzie (2001) from the digital atlas compiled by the Bureau of Rural Sciences (2000) from scans of the original mapping by Northcote et al. (1968). Percentages modified by land use (vegetation clearing) in each soil classification order derive from extant Major Vegetation Groups in National Vegetation Information System v6.0 (DAWE 2020g), as shown in Figure 12. For more information, go toCarbon Share on Twitter Share on Facebook Share on Linkedin Share this link