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5 Soils in the landscape, scale and quality

Back to: Soil health for Victoria's agriculture - context, terminology and concepts

Table 1 - Soil modifying and soil forming processes: their relationship to spatial and temporal scale, and suggested indicators for their recognition
Table 2 Data recorded during profile characterisation (McDonald et al. 1990), classified according to data type and sensitivity to change

It is well known that soils vary locally and that this variability is often strongly related to landscape position. Local (paddock and catchment scale) assessment of soil quality and health must take note of such variability and the role that landscape plays, not only in its relationship to distribution of soils, but also in the influence it has on soil functions (particularly hydrological functions). Interactions between soil type, landscape position and land management can confound comparisons of soil condition and these interactions need to be understood in any monitoring of soil health.

On a global scale differences in soil type can be explained, to various degrees, by the soil forming factors proposed by Hans Jenny (1941, 1980). Just as there are differences in some basic physical properties and behaviour for soils of different texture, there are fundamental qualitative differences between soil types. Processes that affect the pedological constitution of a soil occur at a range of spatial and temporal scales and these have been summarised in Table 1 by MacEwan (1997). Scale and rate of change are significant aspects of the soil system and soil in the landscape that affect choice and interpretation of indicators. Suitable indicators for reporting on soil health at a regional scale are related more to land qualities than to soil type (e.g. erosion). Indicators appropriate to soil management at the paddock scale should be carefully considered in relation to soil type and inherent soil quality.

Soil characterisation routinely carried out for soil survey and mapping follows agreed data standards (McDonald et al. 1990) but most of the data collected are non–quantitative and only change subtly in response to management. While they are good indicators of inherent soil quality they are not well suited to monitoring of soil condition or soil health.

Field pedological data have been classified by MacEwan and Fitzpatrick (1996) as nominal, ordinal, interval or ratio (Table 2). Nominal data are simply named and put into non quantitative classes, e.g.horizon designations. Ordinal data can be ranked, more or less, in semi–quantitative classes, e.g. air dry consistency. Interval data can be quantified in terms of equal intervals on a scale having no zero, or only a relative zero, e.g. Munsell colour. Ratio data can be quantified in relation to a true zero, e.g. horizon thickness. Most pedological attributes are recorded in a qualitative (nominal), or semi quantitative (ordinal), way. Such data are easily obtainable but are useful as indicators only when gross differences exist between the value of a parameter prior to, and following a period of management. Inherent high variability of these properties, even within a relatively pure soil mapping unit (Wilding and Drees, 1983), means that there is unlikely to be any improvement in assessment of soil quality by finding more precise quantitative methods for most field observed pedological attributes. The attributes in Table 2 have been ranked in approximate order of their sensitivity to management and, by implication, their relative usefulness as indicators of soil health (dynamic soil attributes).

Table 1 Soil modifying and soil forming processes: their relationship to spatial and temporal scale, and suggested indicators for their recognition. (from MacEwan 1997)

Scale
Processes
Sensitivity
(years)
Indicators
Global and Continental
Extremely small scale
<1:5 000 000
Plate tectonics
U
I
103 106
Vulcanism, continental changes
Soil formation
U
I
102 104
Degree of soil development
Erosion
U
I
102 106
Valley form, river development
Salinisation
U
R
102 104
Halophytic ecosystems
Urbanisation
C
I
10 102
Loss of agricultural land (‘sealing’)
Regional, catchment or catena Small scale <1:100 000
Soil formation
U
I
102 104
Soil types
Erosion
C
I
101103
Gullies, tunnels, etc.
Salinisation
C
R
10 103
Area of discharge/salt affected land
Acidification
U
I
10 103
Restricted crop and pasture species
Waterlogging
U
R
Seasonal
Area with slow surface drainage
Paddock or polypedon
Large scale

>1:25 000
Erosion, deposition
C
I
102 1
Surface features
Salinisation
C
R
10 102
Discharge features
Acidification
C
R
10 103
pH
Waterlogging
C
R
Seasonal
Ponding, pugging, sealing
Pedon
(3D Profile)
Human scale 1:1
Erosion, deposition
C
R
102 1
pedestals, rills, layering
Profile development
C
R
10 104
Depth, horizons
Salinisation
C
R
10 102
Vegetation response
Acidification
C
R
102 104
pH
Waterlogging
C
R
Seasonal
surface features (pugging, seas), colour
Sodification
C
R
10 104
soil dispersion in rain water
Root penetration and water use
C
R
1 102
depth and pattern of roots vs textures
Horizon
(Pedon in detail)
Erosion, deposition
C
R
103 102
Surface features
O.M. accumulation/depletion
C
R
1 102
L,F,H. Consistency (hard setting), OC
Thickening, thinning
C
R
10 102
Native site comparison
Leaching, acidification
C
R
10 102
pH
Clay translocation
C
I
10 102
Coatings, turbidity of runoff
Soluble salt accumulation
C
R
10 102
EC, visible crystals
Carbonate, gypsum accumulation
U
I
10 103
Nodules, etc
Gleying
C
I
1 102
Colour, mottling
Iron enrichment
U
I
102 104
iron pans, buckshot, pore linings, Bs
Compaction
C
R
Seasonal
Ped shape, pores, bulk density, roots
Loosening
C
R
Seasonal
East of tillage, cloddiness
Root penetration, water use
C
R
Seasonal
Roots vs. pores vs. texture
Animal activity, burrowing, etc.
C
R
Seasonal
Number/area (vol.)
Ped
Aggregation
C
R
1-102
Water stability
Cementation
U
I
10-103
Consistency, grain coatings
Slakings§
10-4 - 10-2
Crusts, seals
Diserpsion§
10-4 - 10-3
Cutans, turbidity
Compaction
C
R
seasonal
Pores, ped/clod density
Mineral
Hydration, hydrolysis, solution
U
I
10-4 - 104
% unweathered minerals
Salts (formation/transformation)
U
I
10-3 - 102
EC, visible crystals (halite)
Clay formation
U
I
millenia
% clay and 2:1 vs 1:1 layer silicates
Fe/Mn oxide formation
U
I
10-3 - 104
Colours:red/yellow (formation)
Fe/Mn oxide transformation
C/U
R
10-3 - 104
bleached/grey colour (transformation)

Where: † Controllable=C; Uncontrollable=U; ‡ Irreversible=I; Reversible=R
§Slaking is a reversible soil process because aggregation of slaked soil components can be encouraged with organic matter additions.
Dispersion, although it can be prevented by flocculating agents, cannot be reversed due to the total disintegration of peds, destruction of soil fabric, and loss of clay. Both slaking and dispersion are controllable processes.

Table 2 Data recorded during profile characterisation (McDonald et al. 1990), classified according to data type and sensitivity to change (from MacEwan and Fitzpatrick 1996).

Type of data
Parameter
Sensitivity during lifetime of manager
20
OrdinalAbundance of coarse macropores (>2 mm)Changeable, tillage, compaction, animals
19
OrdinalAbundance of fine macropores (<2 mm)Changeable, tillage, compaction, animals
26
Nominal & ordinalCondition of dry surface soilChangeable (crusts, hard setting, erosion)
3
RatioDepth of horizonChangeable in A horizons
42
OrdinalHorizon boundary (distinctness)Changeable at A/B and Ap/A2
43
NominalHorizon boundary (shape)Changeable at A/B and Ap/A2
2
NominalHorizon suffixChangeable, A1 to Ap, A2 to A2g
6
Ordinal Mottle abundanceChangeable, waterlogging/gleying
10
Ordinal Mottle boundariesChangeable, waterlogging/gleying
9
Nominal Mottle colourChangeable, waterlogging/gleying
8
Ordinal Mottle contrast Changeable, waterlogging/gleying
7
OrdinalMottle sizeChangeable. waterlogging/gleying
5
IntervalMunsell Colour (Value/chroma)Changeable, loss of OM, gleying
4
NominalColour (Hue)Relatively fixed (less sensitive than V/C)
30
ordinalPans (continuity)Changeable
31
NominalPans (structure)Changeable
29
NominalPans (type)Changeable
39
IntervalpHChangeable
41
OrdinalRoot abundanceChangeable. Species dependent
40
OrdinalRoot sizeChangeable. Species dependent
13
OrdinalSize of pedsChangeable, tillage
44
Ordinal (or ratio)Soil permeabilityChangeable in A horizon
23
OrdinalStickinessIncreases with loss of OM
14
NominalType of pedsChangeable, compaction
12
NominalPedalityChangeable in Ap or only slightly changeable
21
OrdinalSoil water statusAlways changing
38
OrdinalCarbonate effervescenceRelatively fixed but may accumulate, e.g. irrigation of soil high in soluble CaCO3
22
OrdinalConsistence (air dry strength)Relatively fixed, changeable (hard setting)
32
OrdinalPedogenic segregations (abundance)Relatively fixed but may accumulate e.g. irrigation of soil high in soluble CaCO3
34
NominalPedogenic segregations (form)As for 32
37
NominalPedogenic segregations (magnetism)Relatively fixed, but increases with fire
33
NominalPedogenic segregations (nature)As for 32
35
OrdinalPedogenic segregations (size)As for 32
36
ordinalPedogenic segregations (strength)As for 32
45
OrdinalSoil drainageRelatively fixed
27
OrdinalWater repellenceRelatively fixed but changeable
17
OrdincalCutans (abundance) Long term, fixed
18
OrdinalCutans (distinctness)Long term, fixed
16
NominalCutans (type)Long term, fixed
15
NominalFabricLong term, fixed
11
Ordinal (Ratio)Field textureLong term, fixed
1
NominalMaster horizonLong term, fixed
28
OrdinalPans (cementation)Long term, fixed
25
OrdinalPlasticity (degree)Long term, fixed
24
OrdinalPlasticity (type)Long term, fixed

Represents order of appearance in McDonald et al. (1990)
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