The objective of this study is to contribute in assessing and monitoring drought's vulnerability by developing a GIS-based model to determine vulnerable areas to this natural hazard; the model utilizes a series of agricultural, statistical, meteorological and remotely sensed data, using GIS weighed ponderation and multicriteria analysis decision making, with the integration of three components: climatic sensibility, soil sensibility and socioeconomic sensibility. The result is a vulnerability map classified into five classes according to pixel values. Very Vulnerable class forms 19.46% of the study area, vulnerable class forms 32.81% and 21.37% of the area is not vulnerable, the study presents a modeling procedure of which the final results provide to researchers, users and decision makers important information on the environmental situation of the study area, for better prediction, and risk management.
The aim of this study was to investigate the diversity of aphids associated with the field and under greenhouse crops in an arid climate in southeastern Algeria (Biskra province). Using yellow basins for the insects sampling, a total of 6683 specimens of aphids were collected and identified into 33 species, five (05) subfamilies: Aphidinae, Pemphiginae, Chaitophorinae, Pterocommatinae, and Greenideinae; and six tribes: Aphidini, Macrosiphin, Pemphigini, Panaphidini, Chaitophorini and Greenideini, and 22 genera. The Macrosiphini tribe is quantitatively most dominant with 20 species (61%) of the inventoried aphid population, followed by the aphidini which groups together 9 species representing 27% of the aphids inventoried. The other tribes are less represented, including one species for each tribe (12% in total). Aphis gossypii was the predominant species 29.67% of the inventoried species, followed by Rhopalosiphum maidis (15.22%) and Rhopalosiphum padi (15.07%). In terms of total wealth (S), there was a strong and positive correlation between the diversity of aphids and crops (R² = 0.73), and also a significant relationship (df = 15, Pr > F = 0.024). Shannon's index spatial interpolation indicates a higher diversity on agricultural lands in the study area. Shannon's diversity and evenness index values were greater in pepper under greenhouse in Dhibia station (H′ = 2.01, E = 0.84) compared to barley and wheat, in El Haouch and Saada, respectively (H′ = 1.18, E = 0.30 and H' = 1.45, E = 0.21).
Desert covers 80% of the Algerian territory, while the remaining area is covered by Mediterranean forests and arid climate steppe that are characterized by severe vulnerability to different stresses such as drought, especially with the increase of nefarious human impact and the overuse of natural resources. The objective of this study is to analyse and assess drought vulnerability in the area of El Hodna in central Algeria. The methodology was based on the use of GIS tools and multi-criteria analysis (Analytical hierarchy process) to develop a model of vulnerability mapping. The results showed that 35.67% of the study area was very vulnerable, 32.77% in fragile situation, 19.72% are potentially vulnerable, and only 11.83% of the surface is not affected. The drought-vulnerability map provides a basis from which it will be possible to prevent and prepare for a drought response.
These last years, the Algerian steppe has known a strong degradation caused in particular by the scarcity of the annual rainfall. It spreads in certain cases to successive years generated by a persistent drought. A series of indices were applied to rainfall records recorded for 30 years (1985-2015) in the treated stations to identify the severity of the drought in the steppe regions. The present work proposes to study and compare the performance of some drought indices to identify a permanent monitoring system in the steppe. The indices studied are Pluviometric Deficit Index (PDI), StandaPDIzed Precipitation Index (SPI), and the Ratio compared to the Normal (RN). We can deduce Climate variability is manifested by regressive spatio-temporal dynamics, thus, drought is recurrent phenomenon in the Algerian steppe
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