2021
DOI: 10.1016/j.agee.2021.107655
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The impact of water erosion on global maize and wheat productivity

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Cited by 9 publications
(4 citation statements)
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“…In addition to the redistribution of SOM, the erosional effect on plants may also induce large differences in SOC and TN between erosional and depositional sites. Significantly different net primary productivity was typically found in the erosional and depositional sites, which decreased the input of plant residues and further decreased the SOC and TN in the erosional site (Carr et al., 2021). Another explanation for the low N concentration in the erosional phases is the reduction in N bioavailability (Qiu et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the redistribution of SOM, the erosional effect on plants may also induce large differences in SOC and TN between erosional and depositional sites. Significantly different net primary productivity was typically found in the erosional and depositional sites, which decreased the input of plant residues and further decreased the SOC and TN in the erosional site (Carr et al., 2021). Another explanation for the low N concentration in the erosional phases is the reduction in N bioavailability (Qiu et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Besides the degree of slope and vegetation cover, the precipitation in KwaZulu-Natal influenced soil erosion with a weight factor of 18%. Excessive water could remove the top soil, degrade the soil structure and initiate excess water stress during growing stages which often results in low maize productivity 29 , 89 . This finding showed that extreme precipitation variability could become a threat to maize production when the water management in crop production is neglected.…”
Section: Discussionmentioning
confidence: 99%
“…climate, land cover, terrain morphology) using machine learning at a spatial resolution of 250 m. According to its source, 96 soil profiles were observed in Ecuador for predict soil features at six depth intervals (0–2 m). We downloaded the profile for the top soil layer (0–5 cm) as is considered the most affect by erosion by water [ 70 ], and for four features: sand, silt, clay and organic carbon percentage content. We downscaled them to 100 m with the method and covariates described in Section 3.1, as they are also observed to predict soil textures [ 71 ].…”
Section: Methodsmentioning
confidence: 99%