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EN
In order to optimize cork productivity in the Maamora forest, specifically in the northern part of the A, B, C, D, and E cantons, the study focused on the analysis and updating of the distribution of productive cork oak (Quercus suber L.) stands as well as the evaluation of cork production over the past two decades. For this purpose, the available maps were corrected and updated using GPS data and field surveys between 2019 and 2022. Similarly, a thorough examination of the archives related to cork harvesting from the water and forestry administration was conducted and enriched by data collection during the survey. The obtained results indicate that the productive area is approximately 39% of the total area in the study zone. Simultaneously, statistical data has highlighted significant fluctuations in the annual gross cork production, coupled with a concerning decrease of 21.29% during the second rotation. Indeed, during the second rotation, 30% of the productive area was not harvested, compared to approximately 14% during the first rotation. Similarly, only 59% of the productive area underwent two harvest cycles. Despite these fluctuations, the recorded productivity during the second rotation, at 0.68 stere/hectare/year, remains above the national average. The differences between cantons are also noteworthy, emphasizing the impact of local factors on cork harvesting. In this context, ensuring sustained cork productivity while ensuring the sustainability of vegetal capital against climate change requires the implementation of an adaptive management approach.
EN
Several studies on the assessment of soil organic carbon (SOC) stocks have been carried out at the global level. However, reliable information on SOC stocks is not readily available at the regional level. In addition, very few studies have assessed the factors responsible for the variation of SOC stocks, in particular the effect of plant communities. For this purpose, the main objective was to analyze the effects of three plant communities and ecological parameters on the SOC stock in the Mamora forest. Specifically, the authors looked to examine the relationships between SOC stock and plant communities and to define the main parameters that directly influence SOC stock. Ten soil profiles with three replications were sampled at each plant community, from which SOC stock was determined. To assess the effect of plant communities on SOC stocks, phytosociological surveys were carried out according to the phytosociological stigma method developed by Braun-Blanquet. The results show that the SOC stocks in cork oak soils are characterized by high variability, with values ranging from 55 t•ha-1 to 95 t•ha-1. Indeed, the findings of this study showed that the SOC stocks fluctuated significantly with plant communities. In addition, SOC stocks were also affected by the interactions between plant communities, the amount of litter and the density of the cork oak stand. These outcomes of this study highlight the critical need to incorporate community-specific carbon values into future carbon sequestration modeling.
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