Research is needed in Cameroon, including aetiological and cohort studies aimed at the quantification of morbidity and mortality risks associated with overweight and obesity.
The present study aims to analyse the dynamics of land use and land cover in the Melap Forest Reserve in West Cameroon on the basis of a diachronic analysis of Landsat 4 TM, Landsat 7 ETM + and Landsat 8 OLI_TIRS images for the years 1988, 2000 and 2018 respectively. Satellite images were processed using ENVI and ArcGIS software. The results showed that The Melap Forest Reserve consists of five main classes of land use/land cover; namely, forest, savannah, bare soil, cropland and built-up area. The analysis showed an ongoing deforestation and degradation of the forest. The forest class has been steadily decreasing from 1345 ha in 1988 to 664 ha in 2018, corresponding to a total loss of 680.9 ha (around 49%) over the 30-year period. The decrease in forest has led to an increase in savannah (+ 315 ha from 1988 to 2018); cropland (+ 351 ha); as well as built-up (+ 9 ha) and bare soil (+ 6 ha). The local communities are the main actors of these changes, principally through agriculture, wood extraction and breeding. Then, the present study suggests participatory management, which includes local communities, for the restoration and the management of the study area.
This study was carried out in Ajei upland watershed community forest in the North West Region of Cameroon with the aim to analyze spatial and temporal dynamics of land cover and land use from 1988 to 2018 and to identify and characterize the agents, drivers and pressures of this change. The databases used were made up of 3 Lands at satellite images (5 TM of 1988, 7ETM+ of 2003 and 8OLI of 2018). Field survey, interview and focus group discussion How to cite this paper: Temgoua, L.F., Ajonina, G. and Woyu, H.B.
Objectives: In Cameroon, cocoa is produced in agroforestry systems with association of trees. The objective of this study was to evaluate the woody diversity, uses and stocks of carbon of the agroforestry cocoa systems in the teaching and research forest of the University of Dschang in eastern Cameroon. Methodology and results: The inventory was carried out in 31 plots of 2400 m 2 and a survey of farmers permitted us to identify the origin of trees, their different products and uses. An estimation of carbon stocks in above ground and underground woody biomass was made using allometric models based on non-destructive method. A total of 71 woody species belonging to 32 families were counted. The five most frequent species identified are Pycnanthus angolensis, Petersianthus macrocarpus, Musanga cecropioides, Terminalia superba, and Persea americana. Preserved trees are more abundant with respect to those introduced, which were mainly fruit trees (Persea americana, Dacryodes edulis and Mangifera indica). These associated trees are mostly multipurpose trees that provide food, medicine and wood and contribute to the improvement of soil fertility while providing shade to cocoa. The average carbon content of the cocoa agroforestry systems is 107 tC ha-1. This amount is mainly due to the associated trees which contribute for about 95%. Conclusions and application of results: Several constraints to planting trees have been highlighted and should be taken into account via technical assistance to farmers. Strategies to improve the cocoa based agroforestry systems must take into account the tree species needed by farmers in the search for the best trade-offs between cocoa production and other services offered by trees.
This study assesses land cover change of the Koupa Matapit forest gallery, West Cameroon, in relation to anthropogenic factors. Ethnobotanical surveys were conducted to investigate the relationships between the local population and the gallery forest; the spatio-temporal dynamics of the landscapes around the gallery forest were studied from the diachronic analysis of three Landsat TM satellite images of 1984, Landsat ETM + 1999 and Landsat OLI_TIRS of 2016, supplemented by verification missions on field. The satellite images were processed using ArcGIS and Erdas Imagine software. According to surveys, it should be noted that agriculture and livestock are the main economic activities of the population of Koupa Matapit, agriculture and fuel wood collection for energy were the main anthropogenic activities responsible for deforestation and degradation of the forest gallery. The collection of non-timber forest products (NTFPs) would have a significant implication in land use and cover changes. The results indicate that the extension of savannah/agricultural land (from 6989 ha in 1984 to 7604 ha in 2016) and bare soil/built up area (from 71 ha in 1984 to 342 ha in 2016) would have led to the disappearance of much of the forest area (1465 ha in 1984 to 580 ha in 2016). The rapid population growth of Koupa Matapit would be responsible for these pressures. There is an urgent need to implement appropriate land use policy in this area.
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