The deforestation is a major problem in Côte d’Ivoire. Monogaga protected forest is strongly cleared for agriculture. Thus, the research aims to determine the influence of the farmer’s occupancies on the forest dynamic. The supervised classification by Neural net has been applied with success to Landsat imagery of 1986 and 2017. It has been preceded by the vegetation physiognomic characterization. The vegetation units are the closed forest, the degraded forest and the fallow-crops. The neural Net classification has been used to discriminate the closed forest area. To the dynamic level, the loss of closed forest proportion between 1986 and 2017 is 86.52%. The annual deforestation rate in regular (linear) and irregular (exponential) level is respectively 2.88% and 6.46% on 30 years. The anthropogenic units descended of the degradation represent some more 90 % of land cover, with a contribution of the crops at more than 40%. These same units are also implied in regeneration to a proportion of some more 90%, always with the crops proportion of 60%. Several mutations are in use. It’s the degradation, conservation and regeneration, with a predominance of degradation. The result shows the bad conservation. This survey showed that the protected forest is submitted to agricultural pressure and all other anthropogenic activities. It is important to have a forest conservation politics and more efficient management.

The purpose of this study is to define the structural characteristics and spatial distribution of endangered Garcinia kola in Côte d'Ivoire, in order to ensure sustainable management of the species. The study was conducted in two natural growth zones (Affery and Biankouma) of the species and involved 94 trees with a minimum diameter of 10 cm measured at 1.30 m from the ground. The data collection method consisted of a mobile inventory within 100 m × 100 m plots. The study revealed that G. kola has an aggregated distribution. Both stands are dominated by medium class trees, [30-40 cm], [40-50 cm], [50-60 cm]. Modeling of all trees in each stand, divided into diameter classes according to the Weibull distribution, shows that G. kola has a low regeneration potential, with a shape parameter c = 2.41 and 1.74. In addition, basal area and tree density are very low. Sustainable management of this species therefore requires awareness of its domestication.

Like Côte d’Ivoire forest area, Abengourou department has not escaped anthropic pressure. The forest in this area was the scene of intense Cocoa farming activities. However, due to the weaknesses and constraints observed in the Cocoa sector, it has been seen that from years 1990 - 2000, most of the farmers have abandoned their Cocoa farms in favor of a gradual conversion in Rubber farming. In fact, this crop is considered to be a new booming income crop that tends to improve and guarantee the farmer’s life quality. This situation leads to an amalgam for the growing of Cocoa or Rubber. This study aims to determine the impact of Cocoa and Rubber farms on the farmer’s life quality in Abengourou (Côte d’Ivoire). Thus, field missions, documents analyze and directive surveys of farmers, cartographic and statistical processing have made it possible to establish correlations between Rubber tree or Cocoa farming and the farmer’s life quality. It follows from the correlations, that after analysis, the Rubber tree would have a positive influence on the farmer’s life quality than Cocoa. Moreover, Human Development Index (HDI) was measured respectively between the Cocoa and Rubber growers in the study area. The HDI of the Cocoa farmers is 0.455 and that of Rubber is estimated to 0.461. So, it is confirmed from these analyses that, in 2016, the growing of Rubber improves the farmer’s life quality more than that of Cocoa in the study area.

The deforestation is a major problem in Côte d’Ivoire. Monogaga protected forest is strongly cleared for agriculture. Thus, the research aims to determine the influence of the farmer’s occupancies on the forest dynamic. The supervised classification by Neural net has been applied with success to Landsat imagery of 1986 and 2017. It has been preceded by the vegetation physiognomic characterization. The vegetation units are the closed forest, the degraded forest and the fallow-crops. The neural Net classification has been used to discriminate the closed forest area. To the dynamic level, the loss of closed forest proportion between 1986 and 2017 is 86.52%. The annual deforestation rate in regular (linear) and irregular (exponential) level is respectively 2.88% and 6.46% on 30 years. The anthropogenic units descended of the degradation represent some more 90 % of land cover, with a contribution of the crops at more than 40%. These same units are also implied in regeneration to a proportion of some more 90%, always with the crops proportion of 60%. Several mutations are in use. It’s the degradation, conservation and regeneration, with a predominance of degradation. The result shows the bad conservation. This survey showed that the protected forest is submitted to agricultural pressure and all other anthropogenic activities. It is important to have a forest conservation politics and more efficient management.

Like Côte d’Ivoire forest area, Abengourou department has not escaped anthropic pressure. The forest in this area was the scene of intense Cocoa farming activities. However, due to the weaknesses and constraints observed in the Cocoa sector, it has been seen that from years 1990 - 2000, most of the farmers have abandoned their Cocoa farms in favor of a gradual conversion in Rubber farming. In fact, this crop is considered to be a new booming income crop that tends to improve and guarantee the farmer’s life quality. This situation leads to an amalgam for the growing of Cocoa or Rubber. This study aims to determine the impact of Cocoa and Rubber farms on the farmer’s life quality in Abengourou (Côte d’Ivoire). Thus, field missions, documents analyze and directive surveys of farmers, cartographic and statistical processing have made it possible to establish correlations between Rubber tree or Cocoa farming and the farmer’s life quality. It follows from the correlations, that after analysis, the Rubber tree would have a positive influence on the farmer’s life quality than Cocoa. Moreover, Human Development Index (HDI) was measured respectively between the Cocoa and Rubber growers in the study area. The HDI of the Cocoa farmers is 0.455 and that of Rubber is estimated to 0.461. So, it is confirmed from these analyses that, in 2016, the growing of Rubber improves the farmer’s life quality more than that of Cocoa in the study area.