Soil assessment along toposequences in rural northern nigeria: A geomedical approach

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Hartmann, L.; Gabriel, M.; Zhou, Y.; Sponholz, B.; Thiemeyer, H.: Soil assessment along toposequences in rural northern nigeria: A geomedical approach. In: Applied and Environmental Soil Science 2014 (2014), 628024. DOI: https://doi.org/10.1155/2014/628024

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Sum total of downloads: 89




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Abstract: 
Case numbers of endemic Ca-deficiency rickets (CDR) have been reported to be alarmingly rising among children of subsistence farms in developing countries within the last 30 years. Fluoride toxicities in the environment are known to not be related to the disease. To investigate if, instead, CDR is caused by a nutrient deficiency in the environment, subsistence farms in an endemic CDR area near Kaduna, northern Nigeria, were investigated for bedrock, slope forms, soil types, and soil characteristics. The natural environment was investigated according to the World Reference Base, soil texture was analysed by pipette and sieving, and plant-available macronutrients were determined using barium-chloride or Ca-acetate-lactate extraction. The analyses showed that granite and slope deposits were the dominant parent materials. The typical slope forms and soil types were Lixisols and Acrisols on pediments, Fluvisols in river valleys, and Plinthosols and Acrisols on plains. Compared with West African background values, all of the soils had normal soil textures but were low in macronutrients. Comparisons to critical limits, however, showed that only the P concentrations were critically low, which are typical for savanna soils. A link between nutrient deficiency in soils and CDR in the Kaduna area was therefore considered unlikely.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2014
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 50 56.18%
2 image of flag of United States United States 21 23.60%
3 image of flag of China China 9 10.11%
4 image of flag of India India 2 2.25%
5 image of flag of Taiwan Taiwan 1 1.12%
6 image of flag of Netherlands Netherlands 1 1.12%
7 image of flag of Nigeria Nigeria 1 1.12%
8 image of flag of Indonesia Indonesia 1 1.12%
9 image of flag of United Kingdom United Kingdom 1 1.12%
10 image of flag of France France 1 1.12%
    other countries 1 1.12%

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