Articles | Volume 1, issue 1
SOIL, 1, 217–233, 2015
https://doi.org/10.5194/soil-1-217-2015
SOIL, 1, 217–233, 2015
https://doi.org/10.5194/soil-1-217-2015

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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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (17 Feb 2015) by Bas van Wesemael
ED: Publish as is (17 Feb 2015) by Johan Six(Executive Editor)
AR by Bradley Miller on behalf of the Authors (18 Feb 2015)  Author's response    Manuscript
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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.