The University of Souk Ahras DSpace repository
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Type d'Item :Item, Butterflies' biodiversity of Souk Ahras Forest (Mechroha and Ouled Driss North east of Algeria)(African Journal of Ecology, 2022-05) Hamza Saouli, Abdelhak Boucif, Ryma Djabourabi, Hana soualah AlilaThis study investigated for the first time species richness, abundance of butterflies and disturbed habitats in Souk Ahras Forest. The assessment of butterflies' diversity and relative abundance was conducted from July 2019 to July 2021. We recorded 60,696 individuals of 49 butterfly species belonging to six families (Papilionidae, Pieridae, Lycaenidae, Nymphalidae, Hesperiidae and Sphingidae). Nymphalidae was dominant by 19 species, followed by Lycaenidae 13 species, Pieridae 10 species, Hesperiidae 4 species, Papilionidae 2 species and diurnal moths ‘Sphingidae’ with only one species. The highest number of species was recorded in oaks groves (medium high altitude) with 35 species; in terms of abundance, grassland (low altitude) dominates in number ( n = 20,094). The lowest species diversity (S = 7) and number of individuals ( n = 1227) were recorded in the Dense tree stratum scrub station which records significant water pollution. We notice that the abundance of butterflies was important during the spring and summer periods but less important during the winter. Landscape composition and habitat influence butterfly diversity and their dynamics. Many species used more than one distinct habitat type, or just one special habitat; we suggest that vegetation cover is an important mechanism for butterfly diversity persistence in forest ecosystems mosaics.Type d'Item :Item, Multispectral Satellite Datasets for Detection and Mapping of Land Cover Change in a Mediterranean Area of North Africa, Belezma (Algeria)(Journal of Environmental Research, Engineering and Management, 2024) Rachid Ait Medjber, Hassen Ben Messaoud, Hana Soualah AlilaMultispectral satellite images are valuable sources of information for ecologists, agriculture climatologists, or environmentalists. Handling satellite images represents a challenge for better understanding the global change. The Belezma massif by its exceptional geographical position in the Mediterranean region of Northeast Algeria constitutes a fragile hot spot ecosystem with all the degradation factors that directly affect all landcovers. The objective of this study is to determine the contribution of satellite images in the detection of land cover global changes between 1986 and 2021 and landscape monitoring in Belezma region. The methodology adopted is the spatial remote sensing of the evolution of forest stands and the change in land cover, from the processing of Landsat images (L05 TM 1986, L07 ETM+ 2001 and L08 OLI_TIRS 2021) and sampling work for confrontation with the reality on the ground. The outcomes of this investigation demonstrate a general regression rate in the natural vegetation cover that the cedar forest, the steppe, and the wetlands lost 42%, 49%, and 97%, respectively, of their areas between 1986 and 2021, while the degraded and anthropic occupations have increased in favor of market gardening, bare soil, urban areas, and arboriculture by 836%, 158%, 131%, and 50%, respectively, over the same period. This study made it possible to identify and analyze 13 main land uses and plant formations over a period of 35 years, which can be used as a decision-making aid model for the managers of these territories.Type d'Item :Item, From Fragmented to Integrated: Advancing Surface Water Quality Assessment through WQPI in the Upper Medjerda River, Northeastern Algeria.(Desalination and Water Treatment Journal, 2025-07-27) Benacherine Mostefa, Lyazid Mohamed Nadjib, Allaoua Noua, Soualah Alila Hana, Satour Abd El Latif, Chouiter Norhane, Debassi Bouchra, Zineb Chetouh, Md Galal UddinAssessing water quality in semi-arid river systems under intense anthropogenic pressures presents significant challenges for sustainable management. In this study, we evaluated the surface water quality of the upper Medjerda River in northeastern Algeria by integrating traditional indices, the Organic Pollution Index (OPI) and the Weighted Arithmetic Water Quality Index (WA_WQI), with advanced multivariate analyses including Principal Component Analysis (PCA) and Generalized Linear Models (GLMs). To overcome the limitations of conventional methods, we developed a new composite metric, the Water Quality Pollution Index (WQPI), synthesizing both general physicochemical conditions and organic pollution. Results revealed widespread degradation at upstream sites, where 50% of samples exhibited very poor water quality according to WA_WQI and 37.5% were classified as highly organically polluted by OPI. Spatial interpolation highlighted intense pollution near urbanized zones, with a gradual downstream improvement; whereas the GLM analyses identified nitrate (NO₃⁻) as the most critical factor for influencing water quality and its variability, confirming its dominant role in nutrient-driven pollution processes. The results of WQPI provided a clearer classification of water quality, capturing pollution dynamics overlooked by traditional indices. Notably, 12.5% of stations exhibited very poor water quality and 75% showed poor quality. This underscores the value of integrated approaches for monitoring and managing semi-arid basins.Type d'Item :Item, محضر إجتماع المجلس العلمي للكلية بتاريخ 2026/3/4(2026-03-04) محضر إجتماع المجلس العلمي للكليةType d'Item :Item, Waves and vibration TP(2026-04-09) Dikra Bouras