Articles | Volume 1, issue 1
SOIL, 1, 217–233, 2015
SOIL, 1, 217–233, 2015
Original research article
04 Mar 2015
Original research article | 04 Mar 2015

Comparison of spatial association approaches for landscape mapping of soil organic carbon stocks

B. A. Miller et al.

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Cited articles

Adhikari, K., Kheir, R. B., Greve, M. B., and Greve, M. H.: Comparing kriging and regression approaches for mapping soil clay content in a diverse Danish landscape, Soil Sci., 178, 505–517,, 2013.
Almond, P. C. and Tonkin, P. J.: Pedogenesis by upbuilding in an extreme leaching and weathering environment, and slow loess accretion, south Westland, New Zealand, Geoderma, 92, 1–36,, 1999.
Angers, D. A. and Carter, M. R.: Aggregation and organic matter storage in cool, humid agricultural soils, in: Structure and Organic Matter Storage in Agricultural Soils, edited by: Carter, M. R. and Stewart, B. A., CRC Press, Boca Raton, 193–211, 1996.
Ashley, M. D. and Rea, J.: Seasonal vegetation differences from ERTS imagery, Journal of American Society of Photogrammetry, 41, 713–719, 1975.
Bannari, A., Morin, D., Bonn, F., and Huete, A. R.: A review of vegetation indices, Remote Sensing Reviews, 13, 95–120,, 1995.
Short summary
There are many different strategies for mapping SOC, among which is to model the variables needed to calculate the SOC stock indirectly or to model the SOC stock directly. The purpose of this research was to compare these two approaches for mapping SOC stocks from multiple linear regression models applied at the landscape scale via spatial association. Although the indirect approach had greater spatial variation and higher R2 values, the direct approach had a lower total estimated error.