A digital soil map of Phytophthora cinnamomi in the Gondwana Rainforests of eastern Australia

Bishop, Thomas; Chang, Christina C.; Daniel, Rosalie; Guest, David; Nelson, Michael W.

doi:10.1201/b12728-17

Cited by 3 publications

(4 citation statements)

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“…DUALEM and EC a data collection in the field EC a data from a DUALEM-421 (Dualem Inc., Milton, Ontario, Canada) were collected down a toposequence ( Figure 1) and along three transects; T1, T2 and T3 ( Figure 1). These were selected based on a map of the areal distribution of EC a (0-0.5 m) and to capture a range of EC a along toposequences (Stockmann et al, 2012). EC a was recorded with positioning information from an Omnistar High Precision DGPS.…”

Section: Study Sitementioning

confidence: 99%

Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district

Stockmann

Huang

Minasny

2017

Soil Use and Management

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In the oldest commercial wine district of Australia, the Hunter Valley, there is the threat of soil salinization because marine sediments underlie the area. To understand the risk requires information about the spatial distribution of soil properties. Electromagnetic (EM) induction instruments have been used to identify and map the spatial variation of average soil salinity to a certain depth. However, soils vary with depth dependent on soil forming factors. We collected data from a single‐frequency and multiple‐coil DUALEM‐421 along a toposequence. We inverted this data using EM4Soil software and evaluated the resultant 2‐dimensional model of true electrical conductivity (σ – mS/m) with depth against electrical conductivity of saturated soil pastes (ECp – dS/m). Using a fitted linear regression (LR) model calibration approach and by varying the forward model (cumulative function‐CF and full solution‐FS), inversion algorithm (S1 and S2), damping factor (λ) and number of arrays, we determined a suitable electromagnetic conductivity image (EMCI), which was optimal (R2 = 0.82) when using the full solution, S2, λ = 3.6 and all six coil arrays. We conducted an uncertainty analysis of the LR model used to estimate the electrical conductivity of the saturated soil‐paste extract (ECe – dS/m). Our interpretation based on estimates of ECe suggests the approach can identify differences in salinity, how these vary with parent material and how topography influences salt distribution. The results provide information leading to insights into how soil forming factors and agricultural practices influence salinity down a toposequence and how this can guide soil management practices.

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Section: Study Sitementioning

confidence: 99%

Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district

Stockmann

Huang

Minasny

2017

Soil Use and Management

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“…This di erence may be explained by the large number of soil forming factors in uencing spatial variation of gamma K. For example, Viscarra Rossel et al (2007) showed that gamma K is mostly determined by soil minerals and soil particle size, with some e ects of soil moisture and bulk density. In our case study, the area is covered by a wide range of parent materials, such as lithic sandstone, siltstone, mudstone, shale, limestone and volcanic rocks; as well as a large number of soil types such as Red Dermosols, followed by Brown, Black and Grey Dermosols (Kovac and Lawrie, 1991;Stockmann et al, 2012). These contrasting soil types and parent materials lead to large spatial variation of soil mineralogy and soil particle size, as well as soil moisture characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…Apparently, residual variation is greater at high elevation and shallow slopes. Stockmann et al (2012) notes that the top-of-hill vineyards were irrigated during the survey. This might have led to an increase of the local variance with elevation, since TWI does not account for this unexpected arti cial process (re ected in Fig.…”

Section: Discussionmentioning

confidence: 99%

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A digital soil map of Phytophthora cinnamomi in the Gondwana Rainforests of eastern Australia

Cited by 3 publications

References 0 publications

Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district

Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district

Sampling design optimization for geostatistical modelling and prediction

A fully non-stationary linear coregionalization model for multivariate random fields

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