Mapping Decision Support Tools (DSTs) on agricultural water productivity: a global systematic scoping review

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cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.affiliationUniversity of KwaZulu-Natalen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.donorWater Research Commission of South Africaen_US
cg.contributor.initiativeExcellence in Agronomyen_US
cg.contributor.initiativeNEXUS Gainsen_US
cg.creator.identifierMabhaudhi T: 0000-0002-9323-8127en_US
cg.creator.identifierAlok Sikka: 0000-0001-9843-9617en_US
cg.creator.identifierJonathan Lautze: 0000-0003-4215-5919en_US
cg.identifier.doihttps://doi.org/10.1016/j.agwat.2023.108590en_US
cg.identifier.iwmilibraryH052407en_US
cg.isijournalISI Journalen_US
cg.issn0378-3774en_US
cg.journalAgricultural Water Managementen_US
cg.reviewStatusPeer Reviewen_US
cg.volume290en_US
dc.contributor.authorMabhaudhi, Tafadzwanasheen_US
dc.contributor.authorDirwai, Tinashe Lindelen_US
dc.contributor.authorTaguta, C.en_US
dc.contributor.authorSikka, Aloken_US
dc.contributor.authorLautze, Jonathan F.en_US
dc.date.accessioned2023-11-30T23:01:55Zen_US
dc.date.available2023-11-30T23:01:55Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/134899en_US
dc.titleMapping Decision Support Tools (DSTs) on agricultural water productivity: a global systematic scoping reviewen_US
dcterms.abstractWhile there is a proliferation of Decision Support Tools (DSTs) to enhance agricultural water productivity (AWP) and related objectives such as food security, an assessment of their adoption and performance is not known to be undertaken. To develop new or improved DSTs for bespoke applications in optimizing AWP, there needs to be a stock-take of the existing tools, their functionality, user-friendliness and uptake. We compiled and assessed existing DSTs for AWP as a starting point for present and future developers who intend to improve existing or develop new DSTs for optimizing AWP. Secondarily, this review identifies DSTs' key characteristics, availability, and applicability for different typologies and spatio-temporal scales. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was applied to search for literature from Scopus and WoS databases. The study revealed the existence of 81 documented AWP DSTs whose development started from around the 1970 s, peaked in the 1990 s, and declined after that although the improvement and upgrading of existing DSTs continued. Over half (51%) of the DSTs are not readily available in the public domain. The prevalent spatial and temporal application scales are field and day, respectively. There is limited reporting on the application at scale, partly due to the wide unavailability of DSTs. A gap exists in AWP DSTs with geospatial capabilities (one in 10 or 10% had geographic information systems (GIS) integration capabilities). Most DSTs focus on water and food (yield) components but omit energy and other dimensions of AWP. Regarding format, most tools were available as desktop (35%) and web-based (48%) applications, and codes (27%). Developers should strive to deliver AWP tools in convenient, compatible, and user-friendly for a wide range of users, from novices to experts.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2023-11-19en_US
dcterms.bibliographicCitationMabhaudhi, Tafadzwanashe; Dirwai, Tinashe Lindel; Taguta, C.; Sikka, Alok; Lautze, Jonathan. 2023. Mapping Decision Support Tools (DSTs) on agricultural water productivity: a global systematic scoping review. Agricultural Water Management, 290:108590. [doi: https://doi.org/10.1016/j.agwat.2023.108590]en_US
dcterms.extent290:108590.en_US
dcterms.issued2023-12-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherElsevieren_US
dcterms.subjectdecision support systemsen_US
dcterms.subjectmappingen_US
dcterms.subjectagricultural water managementen_US
dcterms.subjectwater productivityen_US
dcterms.subjectintegrated developmenten_US
dcterms.subjectmodelsen_US
dcterms.subjectalgorithmsen_US
dcterms.subjectspatial analysisen_US
dcterms.subjectsystematic reviewsen_US
dcterms.subjectgeographical information systemsen_US
dcterms.subjectremote sensingen_US
dcterms.subjectirrigation schedulingen_US
dcterms.subjectenergy balanceen_US
dcterms.subjectfood securityen_US
dcterms.subjectnexus approachesen_US
dcterms.typeJournal Articleen_US

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