Increment-averaged kriging: a comparison with depth-harmonized mapping of soil exchangeable sodium percentage in a cropping region of eastern Australia

Article


Lai, Y. R., Orton, T. G., Pringle, M. J., Menzies, N. W. and Dang, Y. P.. 2020. "Increment-averaged kriging: a comparison with depth-harmonized mapping of soil exchangeable sodium percentage in a cropping region of eastern Australia." Geoderma. 363. https://doi.org/10.1016/j.geoderma.2019.114151
Article Title

Increment-averaged kriging: a comparison with depth-harmonized mapping of soil exchangeable sodium percentage in a cropping region of eastern Australia

ERA Journal ID5257
Article CategoryArticle
AuthorsLai, Y. R. (Author), Orton, T. G. (Author), Pringle, M. J. (Author), Menzies, N. W. (Author) and Dang, Y. P. (Author)
Journal TitleGeoderma
Journal Citation363
Article Number114151
Number of Pages13
Year2020
PublisherElsevier
Place of PublicationNetherlands
ISSN0016-7061
1872-6259
Digital Object Identifier (DOI)https://doi.org/10.1016/j.geoderma.2019.114151
Web Address (URL)http://www.sciencedirect.com/science/article/pii/S0016706119315927
Abstract

Soil sodicity, generally measured through the exchangeable sodium percentage (ESP), is the most prevalent edaphic stress in Australia, particularly in the northern grains-growing region (NGR) of Australia. Farmers, scientists and policy-makers need accurate maps of sodicity for environmental modelling, and to make rational decisions for management. A common approach to mapping soil properties for multiple target depths is to first harmonize soil profile data to the target depth intervals, usually through equal-area spline functions, then undertake a two-dimensional spatial analysis (often regression kriging) for each interval; we refer to this as a ‘spline-then-krige’ (STK) approach. An alternative is to calibrate a single three-dimensional model that describes soil variation both horizontally and vertically, as is done in the increment-averaged kriging (IAK) approach. This study compares IAK and STK for mapping ESP in the NGR. A machine-learning algorithm was used to model trends based on environmental covariates in both approaches. Both IAK and STK captured the ESP variation reasonably well (concordance correlation coefficient values for IAK around 0.5 for all depths), with IAK giving slightly better predictive accuracies for all depths, most evidently in the topsoil. IAK allows the natural use of all available data, explicitly accounts for the sample support of the soil data and the horizontal and vertical auto-correlation between and within soil profiles, and enables the propagation of uncertainty from the original data through to the final predictions and prediction uncertainties. We conclude that IAK can provide a competitive alternative to STK approaches for mapping soil properties in three dimensions.

Keywordsdigital soil mapping; disaggregation; geostatistics; kriging; REML: soil constraints
ANZSRC Field of Research 2020410602. Pedology and pedometrics
410699. Soil sciences not elsewhere classified
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsUniversity of Queensland
Department of Environment and Science, Queensland
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q6464/increment-averaged-kriging-a-comparison-with-depth-harmonized-mapping-of-soil-exchangeable-sodium-percentage-in-a-cropping-region-of-eastern-australia

  • 127
    total views
  • 7
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters
Choudhury, Malini Roy, Christopher, Jack, Das, Sumanta, Apan, Armando, Menzies, Neal W., Chapman, Scott, Mellor, Vincent and Dang, Yash P.. 2022. "Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters." Environmental Technology and Innovation. 27, pp. 1-14. https://doi.org/10.1016/j.eti.2022.102469
Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques
Das, Sumanta, Christopher, Jack, Choudhury, Malini Roy, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2022. "Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques." Biosystems Engineering. 217, pp. 68-82. https://doi.org/10.1016/j.biosystemseng.2022.03.004
Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques
Choudhury, Malini Roy, Das, Sumanta, Christopher, Jack, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2021. "Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques." Remote Sensing. 13 (17), pp. 1-27. https://doi.org/10.3390/rs13173482
UAV-thermal imaging: A technological breakthrough for monitoring and quantifying crop abiotic stress to help sustain productivity on sodic soils – A case review on wheat
Das, Sumanta, Chapman, Scott, Christopher, Jack, Choudhury, Malini Roy, Menzies, Neal W., Apan, Armando and Dang, Yash P.. 2021. "UAV-thermal imaging: A technological breakthrough for monitoring and quantifying crop abiotic stress to help sustain productivity on sodic soils – A case review on wheat." Remote Sensing Applications: Society and Environment. 23, pp. 1-13. https://doi.org/10.1016/j.rsase.2021.100583
Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics
Choudhury, Malini Roy, Mellor, Vincent, Das, Sumanta, Christopher, Jack, Apan, Armando, Menzies, Neal W., Chapman, Scott and Dang, Yash P.. 2021. "Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics." Agricultural Water Management. 255. https://doi.org/10.1016/j.agwat.2021.107007
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Das, Sumanta, Christopher, Jack, Apan, Armando, Choudhury, Malini Roy, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2021. "Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning." Agricultural and Forest Meteorology. 307. https://doi.org/10.1016/j.agrformet.2021.108477
UAV-thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil
Das, Sumanta, Christopher, Jack, Apan, Armando, Choudhury, Malini Roy, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2021. "UAV-thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil." ISPRS Journal of Photogrammetry and Remote Sensing. 173, pp. 221-237. https://doi.org/10.1016/j.isprsjprs.2021.01.014
An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI
Lai, Y. R., Pringle, M. J., Kopittke, P. M., Menzies, N. W., Orton, T. G. and Dang, Y. P.. 2018. "An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI." International Journal of Applied Earth Observation and Geoinformation. 72, pp. 99-108. https://doi.org/10.1016/j.jag.2018.07.013
Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation
Allen, D. E., Bloesch, P. M., Orton, T. G., Schroeder, B. L., Skocaj, D. M., Wang, W., Masters, B. and Moody, P. M.. 2019. "Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation." Soil Research. 57 (7), pp. 738-754. https://doi.org/10.1071/SR19031
Changes in soil water storage with no-tillage and crop residue retention on a Vertisol: impact on productivity and profitability over a 50 year period
Page, Kathryn L., Dang, Yash P., Dalal, Ram C., Reeves, Steven, Thomas, Greg, Wang, Weijin and Thompson, John P.. 2019. "Changes in soil water storage with no-tillage and crop residue retention on a Vertisol: impact on productivity and profitability over a 50 year period." Soil and Tillage Research. 194, pp. 1-8. https://doi.org/10.1016/j.still.2019.104319
Strategic tillage in conservation agricultural systems of north-eastern Australia: why, where, when and how?
Dang, Yash Pal, Balzer, Anna, Crawford, Mark, Rincon-Florez, Vivian, Liu, Hongwei, Melland, Alice Rowena, Antille, Diogenes, Kodur, Shreevatsa, Bell, Michael John, Whish, Jeremy Patrick Milroy, Lai, Yunru, Seymour, Nikki, Costa Carvalhais, Lilia and Schenk, Peer. 2018. "Strategic tillage in conservation agricultural systems of north-eastern Australia: why, where, when and how?" Environmental Science and Pollution Research. 25 (2), pp. 1000-1015. https://doi.org/10.1007/s11356-017-8937-1
Effects of strategic tillage on short-term erosion, nutrient loss in runoff and greenhouse gas emissions
Melland, A. R., Antille, D. L. and Dang, Y. P.. 2017. "Effects of strategic tillage on short-term erosion, nutrient loss in runoff and greenhouse gas emissions." Soil Research. 55 (3), pp. 201-214. https://doi.org/10.1071/SR16136
Strategic tillage in no-till farming systems in Australia's northern grains-growing regions: II. Implications for agronomy, soil and environment
Dang, Y. P., Moody, P. W., Bell, M. J., Seymour, N. P., Dalal, R. C., Freebairn, D. M. and Walker, S. R.. 2015. "Strategic tillage in no-till farming systems in Australia's northern grains-growing regions: II. Implications for agronomy, soil and environment." Soil and Tillage Research. 152, pp. 115-123. https://doi.org/10.1016/j.still.2014.12.013
Strategic tillage in no-till farming systems in Australia's northern grains-growing regions: I. drivers and implementation
Dang, Y. P., Seymour, N. P., Walker, S. R., Bell, M. J. and Freebairn, D. M.. 2015. "Strategic tillage in no-till farming systems in Australia's northern grains-growing regions: I. drivers and implementation." Soil and Tillage Research. 152, pp. 104-114. https://doi.org/10.1016/j.still.2015.03.009
Identifying the spatial variability of soil constraints using multi-year remote sensing
Dang, Y. P., Pringle, M. J., Schmidt, M., Dalal, R. C. and Apan, A.. 2011. "Identifying the spatial variability of soil constraints using multi-year remote sensing." Field Crops Research. 123 (3), pp. 248-258. https://doi.org/10.1016/j.fcr.2011.05.021
Simulating spatial variability of cereal yields from historical yield maps and satellite imagery
Dang, Y. P., Apan, Armando, Dalal, R. C., Darr, Shawn Geoffrey, Schmidt, M. and Pringle, M.. 2009. "Simulating spatial variability of cereal yields from historical yield maps and satellite imagery." Ostendorf, Bertram, Baldock, Penny, Bruce, David, Burdett, Michael and Corcoran, Paul (ed.) 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity. Adelaide, Australia 28 Sep - 02 Oct 2009 Adelaide, Australia.