Abstract
Ecosystems are increasingly facing severe environmental conditions as a result of climate change. For this, the species continues to evolve to better adapt to this changing environment, especially plant species that have an essential adaptive power. Understanding these processes will help us to protect nature and lead conservation and management programs of biodiversity. The argan forest is one of the unique ecosystems in the world with the presence of an endemic tree in Morocco, Argania spinosa L. unfortunately it is subjected to high anthropic pressure in addition to the effect of global warming, which causes a serious regression of its area. This study aimed to understand the evolutionary power of Argan tree by detecting the evolution of tree cover dynamics in the Essaouira region and evaluate its impact on adaptive genetic variation during two epochs between 2010 and 2020. Our approach is to use remote sensing methods (GIS) with Landsat satellite maps and MODIS land products coupled with genetic marking by microsatellite molecular markers (SSR). The study showed a positive evolution with a small increase in argan trees occupancy rate and vegetation indices in most populations of the region. This dynamic seems to positively impact genetic diversity (r2ā=ā0.73, Pā<ā0.01). This variation in allelic richness, generated by the natural selection of alleles, shows a great adaptive power leading to genetic evolution. This adaptation, which remains to be determined, is due to the effect of climate change and the positive genetic impact of argan forest protection plans and to establish more effective conservation strategies against climate change.
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Alami, M. et al. (2023). Dynamics of Tree Cover on the Adaptive Genetic Variation and Evolutionary Power of the Argan Forests from the Essaouira Region of Morocco Facing Climate Change. In: Mabrouki, J., Mourade, A., IrshadĀ , A., Chaudhry, S. (eds) Advanced Technology for Smart Environment and Energy. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-25662-2_16
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