5 research outputs found

    DÉFORESTATION ET POLITIQUE DE REBOISEMENT DANS LES FORÊTS CLASSÉES : CAS DE LA FORÊT DE LA TÉNÉ (CENTREOUEST DE LA CÔTE D’IVOIRE)

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    Continuous deforestation is a phenomenon that manifests itself in the classified forest of Téné despite reforestation policy. From the study of the behavior of peasant populations and the analysis of the reforestation policy, it has been shown that the continuous deforestation of the classified forest of Téné reflects a reforestation policy both reductionist and incomplete. The flaws of this policy are observed in three points. The first deals with the incompleteness of the consolidation plan. The second lies in the maintenance of agricultural activities in the forest of Téné. The third point deals with the difficulties Téné surveillance by agents of the management unit. All these weaknesses explain the degradation suffered by the forest of Téné

    DÉFORESTATION ET POLITIQUE DE REBOISEMENT DANS LES FORÊTS CLASSÉES : CAS DE LA FORÊT DE LA TÉNÉ (CENTREOUEST DE LA CÔTE D’IVOIRE)

    Get PDF
    Continuous deforestation is a phenomenon that manifests itself in the classified forest of Téné despite reforestation policy. From the study of the behavior of peasant populations and the analysis of the reforestation policy, it has been shown that the continuous deforestation of the classified forest of Téné reflects a reforestation policy both reductionist and incomplete. The flaws of this policy are observed in three points. The first deals with the incompleteness of the consolidation plan. The second lies in the maintenance of agricultural activities in the forest of Téné. The third point deals with the difficulties Téné surveillance by agents of the management unit. All these weaknesses explain the degradation suffered by the forest of Téné

    Deficits of psychomotor and mnesic functions across aging in mouse lemur primates

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    International audienceOwing to a similar cerebral neuro-anatomy, non-human primates are viewed as the most valid models for understanding cognitive deficits. This study evaluated psychomotor and mnesic functions of 41 young to old mouse lemurs (Microcebus murinus). Psychomotor capacities and anxiety-related behaviors decreased abruptly from middle to late adulthood. However, mnesic functions were not affected in the same way with increasing age. While results of the spontaneous alternation task point to a progressive and widespread age-related decline of spatial working memory, both spatial reference and novel object recognition (NOR) memory tasks did not reveal any tendency due to large inter-individual variability in the middle-aged and old animals. Indeed, some of the aged animals performed as well as younger ones, whereas some others had bad performances in the Barnes maze and in the object recognition test. Hierarchical cluster analysis revealed that declarative-like memory was strongly impaired only in 7 out of 25 middle-aged/old animals. These results suggest that this analysis allows to distinguish elder populations of good and bad performers in this non-human primate model and to closely compare this to human aging

    Estimation of Groundwater Recharge in the Lobo Catchment (Central-Western Region of Côte d’Ivoire)

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    Determination of groundwater recharge is a major challenge in areas where rainfall is generally abundant. Variability and uncertainty are inherent in the estimation of recharge, and several methods are therefore recommended for its estimation at a regional level. In this study, we evaluated several methods for estimating recharge: the web GIS-based automated hydrological analysis tool (WHAT), water table fluctuation (WTF), hydrograph analyses, a recession curve displacement method, graphical separation, and empirical formulas. The annual recharge estimated by combining direct recharge and base-flow varied from 84 mm in 2019 to 66.4 mm in 2020. The mean direct recharge was about 44 mm in 2018 and 57.3 mm in 2019, representing about 4% and 5% of the respective rainfall. In 2020, this direct recharge was 43 mm, or about 6% of rainfall, around 25% lower than in 2019. Base-flow separation methods and recession curve displacement generally gave low results, whereas modified empirical formulas gave results close to those of the WTF method and were considered more consistent and reasonable. The regression curve displacement method implemented in the United States geologic survey (USGS) RORA program was found to be unsuitable for the study area. However, the other methods presented more reasonable results and could be used to estimate groundwater recharge in the study area

    Estimation of Groundwater Recharge in the Lobo Catchment (Central-Western Region of CĂ´te d'Ivoire)

    No full text
    International audienceDetermination of groundwater recharge is a major challenge in areas where rainfall is generally abundant. Variability and uncertainty are inherent in the estimation of recharge, and several methods are therefore recommended for its estimation at a regional level. In this study, we evaluated several methods for estimating recharge: the web GIS-based automated hydrological analysis tool (WHAT), water table fluctuation (WTF), hydrograph analyses, a recession curve displacement method, graphical separation, and empirical formulas. The annual recharge estimated by combining direct recharge and base-flow varied from 84 mm in 2019 to 66.4 mm in 2020. The mean direct recharge was about 44 mm in 2018 and 57.3 mm in 2019, representing about 4% and 5% of the respective rainfall. In 2020, this direct recharge was 43 mm, or about 6% of rainfall, around 25% lower than in 2019. Base-flow separation methods and recession curve displacement generally gave low results, whereas modified empirical formulas gave results close to those of the WTF method and were considered more consistent and reasonable. The regression curve displacement method implemented in the United States geologic survey (USGS) RORA program was found to be unsuitable for the study area. However, the other methods presented more reasonable results and could be used to estimate groundwater recharge in the study area
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