Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/8259
Title: Landscape determinants of nitrogen leaching risk: mechanisms, impacts, and mitigation strategies
Authors: Manono, Bonface O.
Kimiti, Jacinta M.
Musyoka, Damaris K.
Keywords: nitrate leaching
landscape spatial configuration
agricultural catchments
groundwater pollution
nitrogen dynamics
mitigation strategies
agricultural management practices
Issue Date: 5-Feb-2026
Publisher: MDPI
Citation: Nitrogen, volume 7, issue 1, 2026
Abstract: Nitrogen leaching from land and farms is a major global issue that pollutes water, damages ecosystems, and accelerates climate change. This review synthesizes evidence from the literature on how interactions among landscape characteristics, sources of nitrogen input, and temporal dynamics shape leaching vulnerability. It identifies conditions under which nitrogen is most likely to be transported through soil systems into aquatic environments. This review reveals that leaching vulnerability is strongly conditioned by soil hydraulic properties and topographic position. Coarse-textured upland soils exhibit substantially greater nitrate mobilization than finer-textured, hydrologically buffered lowland soils. Fertilizer formulation and application timing further modulate loss potential, with late-season mineral nitrogen inputs disproportionately contributing to subsurface export relative to demand-synchronized applications. Most of the nitrogen leaching occurs outside the active growing period, when vegetative uptake is suppressed and drainage intensity is highest. Farmers can lower nitrate runoff by using targeted fertilization, cover crops, and nitrification inhibitors, while landscape-scale features like controlled drainage and vegetative buffers provide additional downstream filtration. The effectiveness of regulatory approaches is amplified when aligned with economic incentives and regionally calibrated nutrient thresholds. Advances in high-resolution observation platforms and process-based predictive tools offer new capacity for anticipatory management, although widespread deployment is limited by financial and institutional constraints. Collectively, these insights support the development of more targeted and sustainable nitrogen management strategies.
Description: https://doi.org/10.3390/nitrogen7010020
URI: https://www.scilit.com/publications/f8cd51c68fc135b606f3521fb2c312a9
http://repository.seku.ac.ke/xmlui/handle/123456789/8259
ISSN: 2504-3129
Appears in Collections:School of Agriculture, Environment, Water and Natural Resources Management (JA)

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