%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