Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database

cg.authorship.typesNot CGIAR international institute
cg.contributor.affiliationWorld Soil Information
cg.contributor.affiliationUniversidade Federal do Paraná
cg.contributor.affiliationWageningen University & Research
cg.contributor.affiliationUniversidade Federal de Lavras
cg.contributor.affiliationUniversidade de São Paulo
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeLow-Emission Food Systems
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1016/j.iswcr.2022.08.001
cg.isijournalISI Journal
cg.issn2589-059X
cg.issue2
cg.journalInternational Soil and Water Conservation Research
cg.reviewStatusPeer Review
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaEnvironmental health and biodiversity
cg.volume11
dc.contributor.authorTurek, Maria Eliza
dc.contributor.authorPoggio, Laura
dc.contributor.authorBatjes, Niels H.
dc.contributor.authorArmindo, Robson André
dc.contributor.authorJong van Lier, Quirijn de
dc.contributor.authorSousa, Luis de
dc.contributor.authorHeuvelink, Gerard B.M.
dc.date.accessioned2022-10-27T08:22:14Zen
dc.date.available2022-10-27T08:22:14Zen
dc.identifier.urihttps://hdl.handle.net/10568/125181
dc.titleGlobal mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS databaseen
dcterms.abstractPresent global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PTFs) applied to maps of other basic soil properties. As an alternative, ‘point-based’ mapping of soil water content can improve global soil data availability and quality. We developed point-based global maps with estimated uncertainty of the volumetric SWR at 100, 330 and 15 000 cm suction using measured SWR data extracted from the WoSIS Soil Profile Database together with data estimated by a random forest PTF (PTF-RF). The point data was combined with around 200 environmental covariates describing vegetation, terrain morphology, climate, geology, and hydrology using DSM. In total, we used 7292, 33 192 and 42 016 SWR point observations at 100, 330 and 15 000 cm, respectively, and complemented the dataset with 436 108 estimated values at each suction. Tenfold cross-validation yielded a Root Mean Square Error (RMSE) of 6.380, 7.112 and 6.485 10−2cm3cm−3, and a Model Efficiency Coefficient (MEC) of 0.430, 0.386, and 0.471, respectively, for 100, 330 and 15 000 cm. The results were also compared to three published global maps of SWR to evaluate differences between point-based and map-based mapping approaches. Point-based mapping performed better than the three map-based mapping approaches for 330 and 15 000 cm, while for 100 cm results were similar, possibly due to the limited number of SWR observations for 100 cm. Major sources or uncertainty identified included the geographical clustering of the data and the limitation of the covariates to represent the naturally high variation of SWR.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.bibliographicCitationTurek, Maria Eliza; Poggio, Laura; Batjes, Niels H.; Armindo, Robson André; de Jong van Lier, Quirijn; de Sousa, Luis; Heuvelink, Gerard B. M. 2022. Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database. International Soil and Water Conservation Research. https://doi.org/10.1016/j.iswcr.2022.08.001en
dcterms.extentp. 225-239
dcterms.issued2023-06
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevier
dcterms.subjectcartographyen
dcterms.subjecthygroscopicityen
dcterms.subjectwateren
dcterms.subjectsoil water retentionen
dcterms.typeJournal Article

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