This study aims to create complete surface water quality maps for the Oum Er Rabia watershed by predicting nitrates (NO3-) and water quality index (WQI) values at unsampled locations. Utilizing a combination of NO3-, IQE data, and ArcGIS Pro software. Water samples were collected from 40 stations...

In Morocco, limited studies have systematically evaluated the biochemical composition of sweet cherry germplasm under uniform environmental conditions. This study aimed to determine and compare key biochemical traits in an ex-situ collection of 19 sweet cherry cultivars grown under identical agronomic management over two consecutive years (2021–2022). A comprehensive biochemical profiling was conducted, included total polyphenol content (TPC), total flavonoid content (TFC), total anthocyanin content (TAC), soluble sugars content (SSC), and antioxidant capacity. The results revealed significant genotypic variation (p < 0.01) for all biochemical traits, with substantial interannual fluctuations attributable to environmental factors. Across both years, TPC ranged from 585.41 to 788.55 mg GAE/100 g DW, TFC from 12.43 to 311.32 mg EC/100 g DW, and TAC from 1.06 to 235.68 mg ECya-3-Glu/100 g DW. SSC exhibited pronounced variation, ranging from 2.39 to 58.96 mg EG/100 g DW. Antioxidant capacity varied significantly, with DPPH scavenging activity ranging from 20.03 to 29.53 mM Teq/g DW and ABTS from 32.13 to 55.18 mM Teq/g DW. Notably, climatic data indicated that 2022 experienced elevated temperatures and higher solar radiation relative to 2021, influencing the biosynthesis of bioactive compounds. These results provide a comprehensive characterization of the biochemical diversity among sweet cherry cultivars under Moroccan environmental conditions. The generated database constitutes a valuable resource for breeding programs in Morocco and will support farmers and the agri-food industry in making informed varietal choices to optimize fruit quality and market potential.

The purpose of this research was to investigate the intricate connections among land use change, land surface temperature, and the distribution of partridges (Alectoris Barbara), employing a comprehensive analysis of various environmental factors. Indeed, a variety of geospatial techniques have...

Sweet cherry (Prunus avium L.), a temperate fruit species highly sensitive to thermal and hydric stress, faces increasing cultivation challenges in semi-arid regions such as Fez-Meknes (Morocco) due to climate change. This study aims to identify ecologically suitable zones for sweet cherry cultivation by modeling its current potential distribution using the MaxEnt (Maximum Entropy) approach. A total of 1151 georeferenced occurrence records were collected through field surveys and validated with satellite imagery. Nineteen bioclimatic variables from the WorldClim database were initially considered, and a subset with low multicollinearity (|r| < 0.7) was retained for analysis. Model performance, evaluated using the area under the ROC curve (AUC), yielded a high mean value of 0.960 ± 0.014, indicating excellent predictive accuracy. Elevation, annual precipitation (BIO12), and precipitation seasonality (BIO15) emerged as key drivers of the species’ distribution, as confirmed by both Jackknife and SPCPI analyses. Spatial prediction maps highlighted high-suitability zones in the provinces of Ifrane, El Hajeb, Azrou, and Sefrou, aligning with known agro-climatic production areas. In contrast, lower suitability was observed in more arid or heat-prone provinces such as Boulemane and Midelt. These findings provide a robust bioclimatic framework for agroecological planning, supporting adaptive varietal zoning and long-term planning for climate-resilient horticulture.