%0 Journal Article %T Typology and Agroecology of Agroecosystems in Vegetation Dynamics in the Ecotones of the Mbam and Inoubou %A Alex Bruno Dong Etchike %A Lucie F¨Ślicit¨Ś Temgoua %A Bertine Tiokeng %A Marie Caroline Momo Solefack %A Martin Benoit Ngassoum %A Pierre Marie Mapongmetsem %J Open Journal of Forestry %P 42-66 %@ 2163-0437 %D 2024 %I Scientific Research Publishing %R 10.4236/ojf.2024.141003 %X Agroforestry systems strongly characterize the Cameroonian agrarian landscape. Agroforests are among those structuring the ecotones of Mbam and Inoubou in the Central Cameroon region. Numerous works on agroecosystems of Central and South Cameroon, few have come out contribution of the structure of these traditional systems in the dynamics of the vegetation of these forest-savannah ecotones. The present contribution has the overall objective of demonstrating the structural efficiency of agroforests the dynamics of ecotone vegetation, but also in the conservation of biodiversity. To do this, a participatory analysis was carried out with 56 farmers distributed in the five villages of Mak¨Śn¨Śn¨Ś. Botanical inventories supplemented socio-economic household surveys. The data collected was subjected to various analyzes (univariate test, analysis of variance, multivariate test, PCA, CAH). The results reveal that 55.2% of agroforests are less than 15 years old and those with an area greater than 1500 m2 predominate (33%). They are mainly young with generally small surface areas. The horizontal structure reveals that the largest diameter classes are those of [20 - 30 cm[ and [10 - 20 cm[ with a very low rate of basal area. Agroforests with trees over 10 m high are dominant in five villages of Mak¨Śn¨Śn¨Ś. Two types of structural profiles characterize the agroforestry flora of the area, namely intensive pluristratified home gardens on savannah and intensive pluristratified agroforests under forest-savannah transition vegetation. Principal Component Analysis (PCA) and Ascending Hierarchical Clustering (HAC) show three Agroforest Clusters each. The PCA distribution reveals that woody biomass (Y) is strongly correlated with tree diameter (DBH) and significantly with height (Cluster 2). The age (AAG) (Cluster 1) of these agroforests, on the other hand, remains independent of the density (DST) of these trees (Cluster 3). The agroforests in the Nyokon, Carri¨¨re and Mocksud villages are the most effective in %K Agroforests %K Agroecosystem %K Center Cameroon %K Dynamics %K Agroecology %K Typology %U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=129566