Assessing the spatial distribution patterns of suitable inland valleys for rice development: a case study of two contrasting regions in Benin

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cg.contributor.affiliationAfrica Rice Centeren_US
cg.contributor.affiliationUniversity of Abomey-Calavi, Beninen_US
cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.donorEuropean Commissionen_US
cg.contributor.donorInternational Fund for Agricultural Developmenten_US
cg.contributor.donorAfrican Development Banken_US
cg.coverage.countryBeninen_US
cg.coverage.iso3166-alpha2BJen_US
cg.coverage.subregionMonoen_US
cg.coverage.subregionCoufoen_US
cg.coverage.subregionUpper Ouémé River Catchmenten_US
cg.creator.identifierSander J. Zwart: 0000-0002-5091-1801en_US
cg.identifier.doihttps://doi.org/10.1007/s40808-024-02047-7en_US
cg.identifier.iwmilibraryH052859en_US
cg.identifier.urlhttps://vlibrary.iwmi.org/pdf/H052859.pdfen_US
cg.isijournalISI Journalen_US
cg.issn2363-6211en_US
cg.issue4en_US
cg.journalModeling Earth Systems and Environmenten_US
cg.reviewStatusPeer Reviewen_US
cg.volume10en_US
dc.contributor.authorDjagba, J. F.en_US
dc.contributor.authorDossou‑Yovo, E. R.en_US
dc.contributor.authorSintondji, L. O.en_US
dc.contributor.authorVissin, E. W.en_US
dc.contributor.authorZwart, Sander Jaapen_US
dc.date.accessioned2024-05-31T23:51:34Zen_US
dc.date.available2024-05-31T23:51:34Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/144222en_US
dc.titleAssessing the spatial distribution patterns of suitable inland valleys for rice development: a case study of two contrasting regions in Beninen_US
dcterms.abstractTo increase rice production in Africa, both intensification and area expansion are needed. Inland valley (IV) agroecosystems are important for rice production due to their relatively high water availability and soil fertility. However, the spatial distribution of suitable IVs remains uncertain. The objective of this study was to model spatial distribution patterns of suitable IV areas for rice production. Biophysical, socioeconomic and management practice data were collected from 242 IVs in two contrasting regions in Benin, namely, the Departments of Mono and Couffo (Mono-Couffo) and the Upper Ouémé River catchment (Upper Ouémé). Geographically weighted regression (GWR) and ordinary least squares (OLS) models were used to predict the spatial distribution of suitable IV areas for rice production. The results showed that the GWR model performed better than the OLS model in assessing the IV suitability spatial distribution. There were 177,714 ha (46%) and 431,954 ha (31%) of highly suitable IVs for rice production in Mono-Couffo and Upper Ouémé, respectively. The most significant variables for predicting suitable IV areas for rice production were irrigation water resources, soil fertility management and total nitrogen in topsoil in Mono-Couffo and the number of male farmers in the IV, shallow water table duration at the IV bottom, and elevation in Upper Ouémé. These results demonstrated the effectiveness of the GWR model in assessing the distribution of highly suitable IVs.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.available2024-05-17en_US
dcterms.bibliographicCitationDjagba, J. F.; Dossou-Yovo, E. R.; Sintondji, L. O.; Vissin, E. W.; Zwart, Sander Jaap. 2024. Assessing the spatial distribution patterns of suitable inland valleys for rice development: a case study of two contrasting regions in Benin. Modeling Earth Systems and Environment, 17p. (Online first) [doi: https://doi.org/10.1007/s40808-024-02047-7]en_US
dcterms.extent17p. (Online first)en_US
dcterms.issued2024-05-17en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherSpringeren_US
dcterms.subjectriceen_US
dcterms.subjectspatial distributionen_US
dcterms.subjectagroecosystemsen_US
dcterms.subjectland coveren_US
dcterms.subjectsoil fertilityen_US
dcterms.subjectvalleysen_US
dcterms.subjectregression analysisen_US
dcterms.subjectmodelsen_US
dcterms.subjectcase studiesen_US
dcterms.typeJournal Articleen_US

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