Using homosoils to enrich sparse soil data infrastructure: An example from Mali

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cg.authorship.typesCGIAR and developing country instituteen_US
cg.contributor.affiliationUniversity of Sydneyen_US
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.donorWorld Banken_US
cg.coverage.countryMalien_US
cg.coverage.countrySenegalen_US
cg.coverage.iso3166-alpha2MLen_US
cg.coverage.iso3166-alpha2SNen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionWestern Africaen_US
cg.creator.identifierAnthony Whitbread: 0000-0003-4840-7670en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1016/j.catena.2022.106862en_US
cg.isijournalISI Journalen_US
cg.issn0341-8162en_US
cg.journalCATENAen_US
cg.reviewStatusPeer Reviewen_US
cg.river.basinAMAZONen_US
cg.subject.ilriDATAen_US
cg.subject.ilriKNOWLEDGE AND INFORMATIONen_US
cg.subject.ilriRESEARCHen_US
cg.subject.ilriSOILSen_US
cg.volume223en_US
dc.contributor.authorNenkam, Andree M.en_US
dc.contributor.authorWadoux, Alexandreen_US
dc.contributor.authorMinasny, Budimanen_US
dc.contributor.authorMcBratney, Alexen_US
dc.contributor.authorSibiry Traoré, Pierre C.en_US
dc.contributor.authorWhitbread, Anthony M.en_US
dc.date.accessioned2023-12-12T12:41:30Zen_US
dc.date.available2023-12-12T12:41:30Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/135268en_US
dc.titleUsing homosoils to enrich sparse soil data infrastructure: An example from Malien_US
dcterms.abstractMany areas in the world suffer from relatively sparse soil data availability. This results in inefficient implementation of soil-related studies and inadequate recommendations for improving soil management strategies. Commonly, this problem is tackled by collecting new soil data to update legacy soil surveys. New soil data collection, however, is usually costly. In this paper, we demonstrate how to find homosoils with the objective of obtaining new soil data for a study area. Homosoils are soils that can be geographically distant but share similar soil-forming factors. We cluster the study area into homogenouse areas, and identify a homosoil to each area using distance metrics calculated in the character space spanned by the environmental covariates. In a case study in Mali, we found that large areas in India, Australia and America have similar soil-forming factors to the African Sahelian zone. We collected available soil data for these areas from the WoSIS database. Statistical analysis on the relationship between the homosoils corresponding to different areas of Mali and three soil properties (clay, sand, pH) displayed the unique variability captured by homosoils. The homosoils could explain 8% of the variation found in the soil datasets. There was a strong association between pH and homosoils corresponding to the semi-arid conditions and sedimentary parent material of Mali, whereas homosoils corresponding to other areas of Mali showed moderate association either with clay or sand. The location and spread of the group centroids were significantly different between depth-specific homosoils for the three soil properties. The approach developed in this paper shows the opportunity for identifying areas in the world with similar soils to populate areas with relatively low soil data density. The concept of homosoils is promising and we envision future applications such as transfer of soil models and agronomic experimental results between areas.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.audienceScientistsen_US
dcterms.available2023-04en_US
dcterms.bibliographicCitationNenkam A, Wadoux A, Minasny B, McBratney A, Traore P, Whitbread A. 2023. Using homosoils to enrich sparse soil data infrastructure: An example from Mali. Catena 223:106862.en_US
dcterms.extent106862en_US
dcterms.issued2023-04en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherElsevieren_US
dcterms.subjectsoilen_US
dcterms.subjectdataen_US
dcterms.subjectinfrastructureen_US
dcterms.subjectagricultureen_US
dcterms.subjectmanagementen_US
dcterms.subjectdensityen_US
dcterms.typeJournal Articleen_US

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