2020
DOI: 10.35208/ert.782409
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Spatiotemporal modeling of nutrient retention in a tropical semi-arid basin

Abstract: The Sokoto-Rima basin defines the natural and socioeconomic lifeblood of northwestern Nigeria. Its agrarian nature is an indication of significant dependence on the supply of ecosystem services from its various rivers, streams, and wetlands. However, nitrogen (N) and phosphorus (P) constitute a great portion of chemical fertilizers used to enhance crop yields and poor management of these portend great threats for water quality. The overarching objective of this study was to examine the extent of spatial variat… Show more

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Cited by 3 publications
(2 citation statements)
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“…Furthermore, agriculture was the leading cause of nutrient release in the watershed under the different LULC scenarios. These findings are similar to those of [78], who found that cropland and agroforestry influenced roughly 90% of the nutrients exported, while water bodies were identified as sinks.…”
Section: Nutrient Export Estimationsupporting
confidence: 90%
“…Furthermore, agriculture was the leading cause of nutrient release in the watershed under the different LULC scenarios. These findings are similar to those of [78], who found that cropland and agroforestry influenced roughly 90% of the nutrients exported, while water bodies were identified as sinks.…”
Section: Nutrient Export Estimationsupporting
confidence: 90%
“…The Sokoto-Rima basin is of West African importance with divergent management systems across its watershed countries yet similar cultural linkages. As shown in the nutrient flow study by Raji et al (2020b), nutrient dispersal at the upstream locations leads to hydrological enrichments downstream with traces of eutrophication. To address such, resource managers need to engage spatial tools such as the InVEST suite to properly monitor spatial variations across watersheds regarding flow and dynamics of nutrients, water yield, carbon fluxes, crop production complexes and productivity.…”
Section: Discussionmentioning
confidence: 90%