ASRIS Technical Specifications V1.6

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Organic carbonOrganic carbon content (%) is estimated for the five layers using the same guidelines presented for pH. Theestimation methods are shown in Table 27.Table 27: Estimation method for organic carbon.EstimationMethodDescription1 Estimate based on measurements of organic carbon for replicated soil profilesin the land-unit tract2 Estimate based on a single measurement of organic carbon in the land-unittract3 Estimate based on direct measurements of similar soils in the same land unittype (e.g. modal profiles)4 Estimate based on direct measurements of similar soils in the region or projectarea5 Estimate based on experience with similar soils (e.g. same taxa in theAustralian Soil Classification but from other regions).Diagnostic DepthsSeveral diagnostic depths are recorded (m) apart from the thickness of each of the five layers to allowflexible analysis including the calculation of plant available water capacity (page 46). The estimationmethod is also recorded (Table 28).Table 28: Estimation method for depths and layer thicknessesEstimationMethodDescription1 Estimate based on measurements of depth for replicated soil profiles in theland-unit tract2 Estimate based on a single measurement of depth supplemented byopportunistic sampling (e.g. road cuttings)3 Estimate based on direct measurements of similar soils in the same land unittype (e.g. modal profiles)4 Estimate based on direct measurements of similar soils in the region or projectarea5 Estimate based on experience with similar soils and landscapes from otherregions.Depth of A1The depth of A1 horizon is recorded in metres. If an A1 is not present (e.g. OB profile), then the attribute isrecorded as missing.44
Total thickness of A horizonThe total thickness of A horizon is recorded in metres. If an A is not present (e.g. OB profile), then theattribute is recorded as missing.Depth to B2 horizonThe depth from the landsurface to the top of the B2 is recorded in metres. If there is no B horizon (e.g. ACprofile), then the attribute is recorded as missing.Depth to impeding layerThe depth to impeding layer will in many cases be difficult to estimate. An impeding layer prevents rootgrowth beyond the layer. If sufficient information is available, the depth to impeding layer is estimated for:• Annual crops and pastures – ACP (e.g. wheat, barley, canola)• Perennial pastures – PP (e.g. lucerne), and• Perennial native vegetation – PNV (e.g. trees and shrubs).Impeding layer typeImpeding layer type is recorded for each vegetation type (Table 29, Table 30). Peverill et al. (1999) providea basic reference on chemical toxicities and deficiencies. There is provision to record the specific toxicity ordeficiency if it is known. This list will be expanded if there is sufficient demand.Depth to base of regolithRegolith refers to the “mantle of earth and rock, including weathered rocks and sediments, altered orformed by land surface processes” (Speight and Isbell 2009). Depth to the base of regolith is estimated inmetres. It will be difficult to estimate in many instances, particularly in deeply weathered landscapeswhere depths greater than 100 m are not uncommon.Table 29: Type of impeding layerCodeCT1CT2CT3CD1CD2CD3PIHYType of impeding layerchemical toxicity – unspecifiedchemical toxicity – pH/aluminiumchemical toxicity – boronchemical deficiency – unspecifiedchemical deficiency – phosphoruschemical deficiency – micronutrientsdirect physical impedance (e.g. moist soil strength > 4 MPa or R horizon)hydrologic (e.g. permanent water table)45
Page 1:
SUSTAINABLE AGRICULTURE FLAGSHIPThe
Page 6 and 7: Table 1: Complementary benefits of
Page 8 and 9: Table 62: The num_est_method_type t
Page 11 and 12: 1 SummaryThis document specifies th
Page 13 and 14: 2 User needs for soil and land reso
Page 15 and 16: 2.3 Mapping, monitoring, modelling,
Page 17 and 18: estimates of soil erosion by water.
Page 19 and 20: 3 Development of ASRISASRIS was ini
Page 21 and 22: Handbook (NCST 2009) will be famili
Page 23 and 24: 4.2 Upper levels of the hierarchyTh
Page 25 and 26: 5 Accuracy, precision and a basis f
Page 27 and 28: 1.0MeanProbability5 %quantile95 %qu
Page 29 and 30: 6 Level-1 descriptors (land provinc
Page 31 and 32: Figure 5: Relative reliefFigure 6:
Page 33 and 34: Figure 7: Average annual excess wat
Page 35 and 36: 10 Level-5 descriptors (land system
Page 37 and 38: 10.3 LandformRelief/modal slopeReli
Page 39 and 40: 11 Level-6 descriptors (land facets
Page 41 and 42: Table 15: Landform elements (after
Page 43 and 44: Table 17: Described gilgai componen
Page 45 and 46: (a) (b) (c)A11A11A1 1A21A222B23B22B
Page 47 and 48: Layer-1 Texture and clay contentThe
Page 49 and 50: ZL Silty loam ZLA Sapric silty loam
Page 51 and 52: Coarse fragmentsCoarse fragments ar
Page 53: pH profileThe pH in a 1:5 CaCl 2 so
Page 57 and 58: Table 31: Method for the estimation
Page 59 and 60: Profile availablewater capacityAdju
Page 61 and 62: Table 32: Permeability classesClass
Page 63 and 64: Table 34: Estimation method for ele
Page 65 and 66: Exchangeable bases, CEC, and ESPEst
Page 67 and 68: Australian Soil ClassificationThe A
Page 69 and 70: FH Palic GZ Bleached-Orthic IS Ferr
Page 71 and 72: Table 47: Reference Soil Group code
Page 73 and 74: Local taxonomic classIf available,
Page 75 and 76: 12 Soil Profile DatabaseAs noted ea
Page 77 and 78: Figure 12: Database design for ASRI
Page 79 and 80: Table 57: The ref_sites tableColumn
Page 81 and 82: Table 61: The param_num_method tabl
Page 83 and 84: Table 68: The codes table.Column Na
Page 85 and 86: 15 ReferencesACLEP (in prep.) SITES
Page 87 and 88: McKenzie NJ, Ryan PJ (1999) Spatial
Page 89 and 90: Appendix 1: Conversion for pH in wa
Page 92: CONTACT USt 1300 363 400+61 3 9545
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