Söderström, Mats and Piikki, Kristin and Cordingley, Jeremy
(2017).
Improved usefulness of continental soil databases for agricultural management through local adaptation.
South African Journal Of Plant And Soil. 34
:1
, 35-45
[Journal article]
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Official URL: http://dx.doi.org/10.1080/02571862.2016.1166400
Abstract
The usefulness of a continental digital soil map (AfSoilGrids250) was investigated at two levels relevant for agricultural fertiliser recommendations in Rwanda (point locations and administrative sector unit averages). Analysis of 900 soil samples for pH and soil organic carbon (SOC) revealed that fine spatial resolution in digital soil maps can be misleading. In order to promote accurate use of such maps, adequate information must be provided to allow users to assess whether a map is suitable for an intended use. In tests to improve the continental database locally at the levels examined in this study, regression kriging of SOC and pH from the continental data set with only 100 soil samples was found to reduce errors, and the predictions better resembled those in the ‘ground truth' data set. The improved map was better for administrative sector averages than point locations and was more pronounced for SOC than for pH. As the use of digital soil maps becomes more widespread, it is important to clearly communicate map accuracy for a range of extents and application levels. A list of basic guidelines to facilitate usage and understanding of digital soil maps is presented in which we emphasise the importance to assess uncertainty and accuracy.
Authors/Creators: | Söderström, Mats and Piikki, Kristin and Cordingley, Jeremy |
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Title: | Improved usefulness of continental soil databases for agricultural management through local adaptation |
Series/Journal: | South African Journal Of Plant And Soil (2167-034X) |
Year of publishing : | 2017 |
Volume: | 34 |
Number: | 1 |
Page range: | 35-45 |
Number of Pages: | 11 |
Publisher: | Taylor & Francis |
ISSN: | 2167-034X |
Language: | English |
Publication Type: | Journal article |
Refereed: | Yes |
Article category: | Scientific peer reviewed |
Version: | Published version |
Copyright: | Creative Commons: Attribution 4.0 |
Full Text Status: | Public |
Agris subject categories.: | P Natural resources > P30 Soil science and management |
Subjects: | (A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science |
Keywords: | digital soil mapping, pH, regression kriging, soil organic carbon, validation |
URN:NBN: | urn:nbn:se:slu:epsilon-e-4158 |
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4158 |
ID Code: | 14250 |
Faculty: | NJ - Fakulteten för naturresurser och jordbruksvetenskap |
Department: | (NL, NJ) > Dept. of Soil and Environment (S) > Dept. of Soil and Environment |
Deposited By: | SLUpub Connector |
Deposited On: | 08 May 2017 09:04 |
Metadata Last Modified: | 08 May 2017 09:04 |
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