Dataset

Clay mineral maps for western Victoria: kaolinite, illite and smectite

Also known as: 3D mineral maps for western Victoria
Federation University Australia
Nathan Robinson (Principal investigator)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4227/122/592e0364ebba2&rft.title=Clay mineral maps for western Victoria: kaolinite, illite and smectite&rft.identifier=https://dx.doi.org/10.4227/122/592e0364ebba2&rft.publisher=Federation University Australia&rft.description=Clay mineralogy is recognised for its role in carbon turnover and storage, buffering of soil pH and ultimately the chemical behaviour of soils. Although clay mineralogy is important to understand the services delivered by soil, it is rarely measured or observed. General reasons given for not observing these properties include their expense, they are often time consuming and difficult to obtain. This set of clay mineral maps (according to GlobalSoilMap.net specifications) was derived using legacy clay mineral determinations from XRay Diffraction (XRD) in combination with Mid Infra-Red Spectroscopy (MIR) and a spatial inference process (model trees). Mid-infrared (MIR) spectroscopic models were formulated for clay minerals kaolinite, illite and smectite using partial least squares regression (PLSR) and quantitative XRD determinations. The MIR spectroscopic models were applied to 11,500 samples from western Victoria and harmonized to the GlobalSoilMap specified depth intervals (0-5, 5-15, 15-30, 30-60, 60-100 and 100-200 cm) using equal area splines. The abundance of clay minerals were mapped using model trees and spatial covariates of soil forming factors (climate, terrain, organisms, parent material and soil) to represent processes at the various spatial scales. A 10-fold cross validation procedure was implemented to derive a mean prediction estimate and 90% prediction interval. Kaolinite was the dominant clay mineral of western Victorian upland terrain and volcanic landscapes. Illite was associated with granitic plutons of southern Victoria and aeolian landscapes in the north. Smectitic clay soils were most common in depressions on the volcanic and sedimentary plains. All clay mineral abundance (%) maps are produced at a 50 m spatial resolution and include: a) mean prediction; b) lower limit of the 90% prediction interval, and c) upper limit of the 90% prediction interval. The maps are for all GlobalSoilMap.net depth intervals for each clay mineral: kaolinite, illite and smectite. There are currently 54 datasets in this collection.&rft.creator=Nathan Robinson&rft.date=2018&rft.relation=https://doi.org/10.1016/j.geoderma.2016.07.006&rft.relation=https://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154199&rft.coverage=Western Victoria&rft.coverage=140.70362255886334,-33.98096687508456 140.70362255886334,-38.86712025280865 144.91972706537211,-38.86712025280865 144.91972706537211,-33.98096687508456 140.70362255886334,-33.98096687508456&rft_rights=https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Soil Chemistry (Excl. Carbon Sequestration Science)&rft_subject=Environmental Sciences&rft_subject=Soil Sciences&rft_subject=Digital Soil Mapping (Dsm)&rft_subject=Mid-Infared Spectroscopy (Mir)&rft_subject=X-Ray Diffraction (Xrd)&rft_subject=Legacy Data&rft_subject=Regression Trees&rft_subject=Clay Minerals&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details
CC-BY-NC

https://creativecommons.org/licenses/by-nc/4.0/

Access:

Open

Contact Information

Postal Address:
Agriculture Victoria, PO Box 3100, Bendigo, Victoria, 3554

Nathan.Robinson@ecodev.vic.gov.au

Full description

Clay mineralogy is recognised for its role in carbon turnover and storage, buffering of soil pH and ultimately the chemical behaviour of soils. Although clay mineralogy is important to understand the services delivered by soil, it is rarely measured or observed. General reasons given for not observing these properties include their expense, they are often time consuming and difficult to obtain. This set of clay mineral maps (according to GlobalSoilMap.net specifications) was derived using legacy clay mineral determinations from XRay Diffraction (XRD) in combination with Mid Infra-Red Spectroscopy (MIR) and a spatial inference process (model trees).

Mid-infrared (MIR) spectroscopic models were formulated for clay minerals kaolinite, illite and smectite using partial least squares regression (PLSR) and quantitative XRD determinations. The MIR spectroscopic models were applied to 11,500 samples from western Victoria and harmonized to the GlobalSoilMap specified depth intervals (0-5, 5-15, 15-30, 30-60, 60-100 and 100-200 cm) using equal area splines. The abundance of clay minerals were mapped using model trees and spatial covariates of soil forming factors (climate, terrain, organisms, parent material and soil) to represent processes at the various spatial scales. A 10-fold cross validation procedure was implemented to derive a mean prediction estimate and 90% prediction interval.

Kaolinite was the dominant clay mineral of western Victorian upland terrain and volcanic landscapes. Illite was associated with granitic plutons of southern Victoria and aeolian landscapes in the north. Smectitic clay soils were most common in depressions on the volcanic and sedimentary plains.

All clay mineral abundance (%) maps are produced at a 50 m spatial resolution and include: a) mean prediction; b) lower limit of the 90% prediction interval, and c) upper limit of the 90% prediction interval. The maps are for all GlobalSoilMap.net depth intervals for each clay mineral: kaolinite, illite and smectite.

There are currently 54 datasets in this collection.

Data time period: 01 01 1948 to 23 12 2015

Click to explore relationships graph

140.70362255886334,-33.98096687508456 140.70362255886334,-38.86712025280865 144.91972706537211,-38.86712025280865 144.91972706537211,-33.98096687508456 140.70362255886334,-33.98096687508456

142.81167481212,-36.424043563947

text: Western Victoria