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Download the publication - Tropenbos International

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Central African tropical rain forest structure and composition<br />

and soil characteristics such as soil types, composition, pH (H20), electricity<br />

conductivity in mS.cm -1 , and texture at 0-10 cm depth were used to explain patterns<br />

in <strong>the</strong> vegetation data set. Fur<strong>the</strong>rmore, all species with doubtful identification were<br />

removed from <strong>the</strong> analyses and only species that occurred in more than one plot<br />

were included in <strong>the</strong> ordination analysis.<br />

The GIS software ARCVIEW version 3.2 was used to produce <strong>the</strong> vegetation maps.<br />

The phytosociological parameters (basal area, relative density, relative dominance,<br />

relative frequency and important value index) as well as <strong>the</strong> diameter class<br />

distribution were used to describe <strong>the</strong> forest structure and composition. In addition,<br />

<strong>the</strong> physical forest structure such as <strong>the</strong> height and cover of <strong>the</strong> various strata<br />

(emergent, canopy, midstorey, understorey and ground layer) recorded in each plot<br />

were used for vegetation description. Standard physiognomic indices were<br />

calculated following Whittaker (1975), Kent & Coker (1992) and Magurran (1988).<br />

The SPSS package version 10.0 for Windows was used for statistical analyses and<br />

<strong>the</strong> Pearson’s correlation test was used to correlate <strong>the</strong> species richness with <strong>the</strong><br />

various environmental variables.<br />

2. 3. RESULTS<br />

Multivariate analyses<br />

TWINSPAN analysis<br />

A cluster analysis of 147 plots with TWINSPAN led to 12 convincing divisions. As<br />

shown in Figure 2.1, <strong>the</strong> data set was initially divided into two groups. All plots<br />

located in <strong>the</strong> mangrove forest, characterised by a distinct floristic composition,<br />

edaphic conditions and physiognomy were placed on one side. The remaining plots<br />

were divided into 11 groups on <strong>the</strong> basis of <strong>the</strong> abundance of Caesalpinioideae,<br />

Calpocalyx heitzii or Sacoglottis gabonensis. Plots from small patches of Aucoumea<br />

klaineana (Okoumé) communities were put ei<strong>the</strong>r with <strong>the</strong> lowland evergreen forest<br />

rich in Caesalpinioideae (Okoumé 1) or with <strong>the</strong> mixed evergreen and semideciduous<br />

forest (Okoumé 2) group depending on <strong>the</strong>ir geographical location.<br />

Eleven main forest types were distinguished and can be summarised as follows<br />

(Table 2.1, Figures 2.1 & 2.2).<br />

1. Lowland evergreen forest rich in Caesalpinioideae (Caesalp)<br />

It occurs mainly on hills and gentle slopes where <strong>the</strong> vegetation is still intact and<br />

consists of evergreen trees forming a fairly continuous canopy with emergent trees<br />

poking through it. This forest type is characterised by its dominance of<br />

Caesalpinioideae (more than 70 tree species) with many species that occur<br />

gregariously. Many emergent and canopy trees have large buttresses (up to 5-6 m<br />

tall) and large diameters (up to 2-3 m above <strong>the</strong> buttress). Trees are more or less<br />

arranged in three strata. Large emergent and upper canopy tree species (about 35-50<br />

m tall) such as Anthonotha fragrans, Aphanocalyx margininervatus, Brachystegia<br />

cynometroides, Desbordesia glaucescens, Erythrophleum ivorensis, Lovoa<br />

trichilioides and Pterocarpus soyauxii occur as scattered individuals in <strong>the</strong> upper<br />

storey. The intermediate storey, about 20-35 m high, is dominated by trees species<br />

such as Calpocalyx dinklagei, Dialium pachyphyllum, Dichostemma glaucescens,<br />

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