Research Article | OPEN ACCESS
Patterns of Soil Nitrogen Sequestration in Drylands Explored with Pedotransfer Functions and Bayesian Analysis
1Ibrahim Hatem, 2Brahim Nadhem, 2Hatira Abdessatar, 1Chotte Jean-Luc and 1Bernoux Martial
1UMR Eco&Sols (Montpellier SupAgro, CIRAD, INRA, IRD), 2 Place Viala, Bâtiment 12, 34060 Montpellier Cedex 1, France
2Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, 2092 Campus El Manar, Tunis, Tunisia
Research Journal of Applied Sciences, Engineering and Technology 2014 10:2112-2122
Received: July 4, 2013 | Accepted: July 16, 2013 | Published: March 15, 2014
Abstract
The stock assessment of organic carbon and total nitrogen in the soil in addition to their relationships with site characteristics is of major importance whether at local, regional or global scale. The improvement of pedotransfer functions for these stocks evaluation in soils is a key for sustainability of agro-systems, especially in erodible systems of Mediterranean semi-arid areas. This work aimed to study relationships between total nitrogen stocks and other physico-chemical properties of clayey and sandy soils of Tunisian database and to do this, we used pedotransfer functions and structural equations modeling. For modeling total nitrogen stocks, two Tunisian soil databases composed from 450 horizons of clayey soils and 602 horizons of sandy soils were used. The optimal models of nitrogen stocks were given by two significant pedotransfer functions: (i) that of clayey soils with a standard error of prediction of 18.51 and associated p-value of 0.000 and (ii) that of sandy soils with a standard error of prediction of 5.76 and associated p-value of 0.016. Then, we perform a path analysis using structural equations modeling and Bayesian analysis to investigate simultaneously the interactions between the different components of the soil properties and their relationships with total nitrogen stocks. Results show that, in both soil types, the stock of total nitrogen is always controlled in the same way; it is significantly linked to chemical properties and bulk density more than by physical properties. The root mean square errors of the approximations were 0.080 and 0.043 for the clayey and sandy models, respectively.
Keywords:
Mediterranean region, modeling, nitrogen stock, path analysis,
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The authors have no competing interests.
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