ASRIS Technical Specifications V1.6

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IndustryAgricultural industries require better soil and land resource information to:• optimize the matching of land use and management with land suitability (some sectors, mostnotably viticulture and industrial-scale farm forestry, have increased investment in user-specificland resource assessment during recent years)• gain market advantage by demonstrating the benign nature of production systems (e.g. greenlabelling)• implement environmental management systems to comply with duty of care regulations andindustry codes• identify opportunities for new industries and regional development• optimize the use of inputs (e.g. soil nutrient testing to guide fertilizer rates).Regional CommunitiesRegional communities require better soil and land resource information to:• assess and improve the efficacy of natural resource management• target community action (e.g. remedial tree planting, fencing, weed control)• improve land literacy.2.2 Improving process understandingThe reasons for using soil and land information outlined in the previous section focus on reducing risk indecision making. Another distinct application for soil information is to improve the understanding oflandscape processes. This is largely the domain of educational, research and development organizations.Studies providing an improved understanding of landscape processes vary greatly in scope. For example,geomorphic studies of landscape evolution may involve intensive characterization and dating ofstratigraphic sequences. Pedologic investigations of soil formation can require detailed surveys of key areasto determine the influence of different soil forming factors. Long-term monitoring studies usually involvesome form of field experiment at the scale of the plot (e.g. agricultural tillage trials), through to the smallcatchment (e.g. paired-catchment studies in eco-hydrology).ASRIS provides a frame of reference for studies of landscape processes – it gives context by providing ageomorphic stratification of the landscape into zones where baselines can be established, trendsmonitored, and results extrapolated. It also provides the basis for creating improved models forexplanation and prediction (e.g. better statistical models for spatial prediction and improved simulationmodels to assess the environmental impact of land uses). Knowledge from these activities enablesimproved systems of land use and management, and provides a scientific basis for improved policies onnatural resources.4
2.3 Mapping, monitoring, modelling, and environmental historyLand resource survey provides the spatial framework for managing natural resources. ASRIS integratesoutputs from survey programs across Australia and these must be considered with the mutually beneficialactivities of monitoring and modelling, and all three should then be set within the context of environmentalhistory – the latter provides an understanding of rates of soil and landscape change on much longer timescales (decades, centuries and millennia).In isolation, each activity fails to provide appropriate information for land management and planning. Incombination, they provide a powerful and synergistic means for transforming the quality of landmanagement in Australia (Figure2, Table 1).Environmental history(millennia, centuries, decades, …)Land resource conditionsurvey monitoring(ASRIS)Natural resourcedecision makingLand Landresourceconditionmonitoring survey(ASRIS)SimulationmodellingFigure 2: Mapping, monitoring and modelling are complementary activities for natural resourcemanagement and they must be set against the context of the environmental history of eventsand processes for a given landscape. ASRIS provides the national framework for soil and landresource information.5
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: 2 User needs for soil and land reso
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 and 54: pH profileThe pH in a 1:5 CaCl 2 so
Page 55 and 56: Total thickness of A horizonThe tot
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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ASRIS Technical Specifications V1.6

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