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Landscape pattern analysis using GIS and remote sensing to diagnose soil erosion and nutrient availability in two agroecological zones of Southern Mali

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Title Landscape pattern analysis using GIS and remote sensing to diagnose soil erosion and nutrient availability in two agroecological zones of Southern Mali
 
Creator Sang, Karamoko
Zemadim, Birhanu
Sanogo, Souleymane
Ba, Abdramane
 
Subject soil erosion
land use
nutrient management
ecology
food science
 
Description Background
Soil is a basic natural resource for the existence of life on earth, and its health is a major concern for rural livelihoods. Poor soil health is directly associated with reduced agricultural land productivity in many sub-Saharan countries, such as Mali. Agricultural land is subjected to immense degradation and the loss of important soil nutrients due to soil erosion. The objective of the study was to diagnose the spatial distribution of soil erosion and soil nutrient variations under different land use in two agroecological zones of Southern Mali using the Geographical Information System (GIS) software, the empirically derived relationship of the Revised Universal Soil Loss Equation, in-situ soil data measurement and satellite products. The soil erosion effect on agricultural land productivity was discussed to highlight the usefulness of soil and water conservation practices in Southern Mali.

Results
The results of the land use and land cover change analysis from 2015 to 2019 revealed significant area reductions in water bodies, bare land, and savanna woodland for the benefit of increased natural vegetation and agricultural land. There was significant variation in the annual soil loss under the different land use conditions. Despite recordings of the lowest soil erosion rates in the majority of the landscape (71%) as a result of field-based soil and water conservation practices, the highest rates of erosion were seen in agricultural fields, resulting in a reduction in agricultural land area and a loss of nutrients that are useful for plant growth. Spatial nutrient modelling and mapping revealed a high deficiency and significant variations (p 
 
Date 2023-03-15
2023-03-21T10:03:02Z
2023-03-21T10:03:02Z
 
Type Journal Article
 
Identifier Sanogo, K., Zemadim, B., Sanogo, S. and Ba, A. 2023. Landscape pattern analysis using GIS and remote sensing to diagnose soil erosion and nutrient availability in two agroecological zones of Southern Mali. Agriculture and Food Security 12:4.
2048-7010
https://hdl.handle.net/10568/129701
https://doi.org/10.1186/s40066-023-00408-6
NATURAL RESOURCE MANAGEMENT
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Publisher Springer
 
Source Agriculture and Food Security