Using vegetation units as salinity predictors in the Lower Cheliff Algeria

Ababou, Adda; Chouieb, Mohammed; Khader, Mohammed; Mederbal, Khalladi; Saidi, Djamel

doi:10.3906/bot-0903-21

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…In this context, the aim of this study was the development of classes PTFs in order to predict soil aggregate stability in the salted lower Cheliff plain, one of the most vulnerable areas to the structural disintegration using easily measurable soil properties such as particle size distribution, EC, pH, OM, CaCO 3 , pH, and cation exchange capacity. Results showed that the lower Cheliff is one of the most salted plain in northwestern Algeria, as reported by [34][35][36] this variable is the most important parameters affecting soil disintegration in this area. Except CaCO 3 and pH, the soil aggregation was significantly related to sand, silt, EC and highly significantly related to OM, CEC and clay, meaning that these variables were highly suitable for developing aggregate stability PTFs.…”

Section: Fig 4 Theoretical Map Of Mwd In the Lower Cheliff Plain Obta...supporting

confidence: 71%

Using Pedotransfer Functions to Assess Aggregate Stability: Application to the Lower Cheliff Soils, Algeria

Saidi

Hamel

Ababou

2015

IJPSS

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Soil physical properties have been subjected to a growing number of studies in recent decades. Although, these parameters can be measured directly, their measurement is difficult and expensive, especially in terms of time, sampling date, storage and cost of measurement. Overcoming these difficulties is through the development of pedotransfer functions (PTFs), which predict soil physical properties from other soil parameters. The main objective of this study was the establishment of PTFs through more easily accessible soils parameters, in order to predict soil aggregate stability by using the mean weight, diameter (MWD) and provide information about the behaviour of soil aggregation under the impact of rainfall or irrigation. PTFs selected according to various classifications were applied to the lower Cheliff soil. Results showed the existence of diverse classes of aggregate stability in the study area, varying from unstable to highly stable soils and also a varying relationship between measured and estimated aggregate stability according to soil classification and predicting model with a coefficient of determination varying from 0.67 to 0.94, the highest relationships were shown by clayey soils and soils containing a high organic matter percentage.

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Section: Fig 4 Theoretical Map Of Mwd In the Lower Cheliff Plain Obta...supporting

confidence: 71%

Using Pedotransfer Functions to Assess Aggregate Stability: Application to the Lower Cheliff Soils, Algeria

Saidi

Hamel

Ababou

2015

IJPSS

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“…The Normalised Difference Vegetation Index derived from the radiometric data of remote sensing, are largely used in the monitoring plans of the dynamics of the vegetation and the cartography of the changes which have occurred in the various ecosystems (Rondeaux, et al, 1996) ; (Bannari, 1999 ;Chirici et al, 2001). Remote sensing techniques have been mainly applied to overcome the shortcomings of classical inventory methods, and they resulted in a large variety of inventory data and derivative products (Ababou et al, 2010;McRoberts & Tomppo, 2007). Since the launching of the first Landsat dealing with a Multispectral Scanner System (MSS) dated to 1972, remote sensing and different modeling methods have been used in forest inventory studies: regression analysis (Ardö, 1992;West, 1995 ;Lu, 2005;Salvador & Pons, 1998;); k-nearest neighbor method (Franco-Lopez et al, 2001;McRoberts & Tomppo, 2007 ;Tomppo et al, 2008;Gasparri et al, 2010;Dandan Xu, Xilun Guo 2014;Khader et al, 1014) ; neural networks (Foody et al, 2003); and fuzzy logic (Triepke et al, 2008).…”

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confidence: 99%

Use of Remote Sensing for Monitoring of the Deforestation in Semi-Arid Region Case of the Djelfa Forests (Algeria)

Khader¹,

Mouissa²,

Hadjadj³

et al. 2022

CTNS

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The current study is interested in the pilot region of Djelfa steppe located in northern Algeria, where a sizable pastoral activity serves as the foundation of the social organisation and the primary source of income. Today's courses experience a severe degradation that menaces the future of pastoral activity due to the disorganisation of social fabric, the phenomenon of turning into a desert, and eolian erosion. It is in this concern that we worked out a methodological approach aiming at characterising the current ecological situation, by using efficient tools namely: remote sensing and GIS. Thus a card of occupation of the ground containing a characterisation of the various courses of the area was carried out by the use of the Landsat imagery. The results so obtained and other inherent data in the middle of study and with our problems were integrated in a Database with the purpose of placing at the disposal of the decision makers and the specialist’s rational management tools in the fodder resources.

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