The coronavirus disease 2019 (COVID-19) affects humans, who are now developing a milder form of the illness. In addition to the use of available drugs, the local populations in Morocco used medicinal plants during the pandemic. The current study aimed to document and to research the level of use of traditional medicine using plants in Morocco. Ethnobotanical surveys were conducted on the perceptions and level of use of plants through a case study in North-West Morocco. The methodology is based on targeted surveys, from April to September 2021, of households that have had cases if nfection with COVID-19. Five hundred surveys were randomly and systematically distributed in the study area to highlight the medicinal use of plants to treat COVID-19 and its consequences for health and well-being. The results showed the attachment of the populations to traditional medicine with the use of plants available in the study area (local forest area and herbalists). The 23 species used by the populations in question against COVD-19 belong to 12 families. The analysis shows the dominance of the Lamiaceae family with nine species, followed by Asteraceae with three species. The Lamiaceae family have proven marked performance in the fight against COVID-19. The results obtained offer orientations for the enhancement of the beneficial effects of traditional medicine and clinical trials remain to be carried out. The current results highlight that flora can be a source for the discovery of medicinal agents active against COVID-19.

North African forest areas play several roles and functions and represent a heritage of great economic and ecological importance. As a result of global changes, that act independently or synergistically, these areas are currently undergoing a pronounced degradation and their productivity is decreasing due to several factors. This work aims to characterize spatio-temporal dynamics of vegetation within the Maamora forest. This forest is considered as the most extensive cork oak woodland in the world and is divided, from west to east, into five cantons A, B, C, D and E. The data, extracted between 2000–2021 from MODIS NDVI/EVI images of 250 m, were analyzed using statistical parameters with the Pettitt homogeneity and the Mann-Kendall trend tests, with their seasonal and spatial components, in order to better consider the vegetation distribution of this forest. Results show a clear temporal and spatial (inter-canton) variability of vegetation intensity, unrelated to the continental gradient. In fact, recorded mean values in cantons C and E are significantly higher than those of cantons B and D respectively. This is confirmed by both regressive and progressive trends, which were identified respectively from the months of March 2012 and October 2008, in the data series of cantons B and E successively. Spatially, the regressive dynamic remains generalized and affects more than 26.7% of the Maamora’s total area with extreme rates (46.1% and 14.0%) recorded respectively by the two aforementioned cantons. Similarly, all the stand types in canton B show the highest regressive rates, especially the cork oak regeneration strata (75.4%) and the bare lands (86.1%), which may explain the positive tendencies identified by the related series during the fall season. However, the cantons C and E record the lowest rates, respectively, for natural stands of cork oak and artificial plantations. These results highlight also the absence of a causal relationship between the contrasting vegetation dynamics of the Maamora and the climatic conditions, expressed here by the continental gradient. However, they do highlight the effects of other factors, particularly those of a technical nature.

Like Mediterranean forests, Morocco's forest formations are highly diverse and comprise many species. Among the noble species, the cork oak (Quercus suber L.) is important in the Moroccan forest landscape. However, anthropogenic and natural pressures have almost completely degraded cork oak ecosystems. This study was conducted on the Maamora cork oak forest in north-west Morocco. The methodology adopted was based on a bibliographic review, GIS cartographic and teledetection analysis of the forest area, in order to assess the state of degradation of the forest areas and their evolution and to investigate the causes about anthropic pressure and the climate change factor. Progressive degradation results from a combination of climatic and anthropogenic factors that continue to intensify. The lack of natural regeneration is one of the most worrying problems, requiring advanced reforestation and sustainable development.