# Diversity, Distribution, and Abundance of Plants in Lewoh-Lebang in the Lebialem Highlands of Southwestern Cameroon

Authors: B. A. Fonge; D. J. Tchetcha; L. Nkembi
Journal: International Journal of Biodiversity
 (2013)

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## Abstract

A survey was conducted between October 2010 and June 2011 to determine the diversity, distribution, and abundance of plants in 4 sites of the Lebialem highlands and to relate species diversity and abundance to altitude and soil types. Twelve (12) plots, each of 1 ha (250 × 40 m), were surveyed at the submontane and montane altitudes of the sites. One hundred (100) species belonging to 82 genera were identified with the generaCola and Psychotria being the most represented. Vulnerable species included Guarea thompsonii, Schefflera hierniana, Allanblackia gabonensis, Cyclomorpha solmsii, Vepris trifoliolata, and Xylopia africana. Species such as Xymalos monospora, Tricalysia atherura, and Piptostigma oyemense present in the study area were endemic to Cameroon. Diversity and distribution of plants were affected by parameters such as the altitude and the soil type. Soil analysis revealed that diversity in the study area was affected by the organic carbon, nitrogen, calcium, and the cation exchange capacity of the soil.


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## Body

## 1. Introduction

Biodiversity is the degree of variation of life forms within a given ecosystem, biome, or entire planet [1]. It encompasses all species of plants, animals and microorganisms, the ecosystem, and ecological processes of which they are parts. It is an umbrella term for the degree of nature’s variety, including both number and frequency of ecosystems, species, or genes in a given assemblage. Wilson [2] defines biodiversity as the variety of organisms considered at all levels from genetic variants belonging to the same species through arrays of species to arrays of genera, families, and still higher taxonomic levels.Besides South Africa, Cameroon is the most biologically rich country known to date on the African continent [3]. It encompasses an intricate mosaic of diverse habitats with moist tropical forest dominating the south and south-east and covering 54% of the country, mountain forest and savannah in the highlands and sub-Sahelian savannah and near desert in the far north [3]. These diverse habitats harbour more than 9,000 species of plants, 160 species of which are endemic. The majority of the endemic taxa are concentrated around Mount Cameroon and other highland areas. During the last few decades, deforestation of tropical forests areas has accelerated at an alarming rate as extensive areas of forest are being cleared every year [4]. Man affects the forest ecosystem with activities such as agroindustries, shifting cultivation, and hunting. There has been an overwhelming concern about the loss of tropical diversity and an emphasis on the identification of biodiversity hot spots in an attempt to optimize conservation strategies [5].Diversity studies carried out in Cameroon have covered many parts of the country but left out certain regions despite their richness in plant diversity [6, 7]. An example of such a region is the Lewoh-Lebang area in the Lebialem Division. Lebialem is located in the southwest region of Cameroon, and it is characterized by a hilly topography with a rich diversity of flora and fauna. This mountain ecosystem has been under serious pressure from the local people. The ecosystem is a centre of high endemism for many taxa (plants, amphibians, mammals, and birds), and its destruction could lead to the local extinction of globally threatened biodiversity (plants, mammals,, etc.), watershed destruction, and degradation of livelihood systems, property, and lives. The region also holds some of the globally threatened and endemic species such as the critically endangered cross river gorilla, chimpanzee, flying squirrel, endangered Bannerman’s Turaco and Banded Wattle-eye, vulnerable Red-headed Picathartes [8]. The study area is part of the Bamboutos Mountain Range which is a stronghold of montane biodiversity. These ecosystems around the Bamboutos Mountain continue to provide valuable goods and services to local people in the region and are an important watershed lodging the tributaries of Manyu River that drain into the cross river. Due to precedent geological and geographical history of these mountain areas and coupled with the high annual rainfall (2000 to 3000 mm) and humidity, these areas are perpetually having landslides [9, 10]. Most of the landslides are as a result of anthropogenic activities of the communities around the mountain [10]. The Nweh people (tribe in the study site) practice slash and burn agriculture with a bimodal annual farming cycle which is entirely dependent on the rain fall patterns that results in frequent landslides [9]. Information on the type and the distributional patterns of plants may help to put in place proper management schemes on biodiversity conservation. This work therefore assesses the diversity, distribution and abundance of plants found in Lewoh-Lebang landscape in Cameroon so as to propose management schemes for biodiversity conservation.


## 2. Materials and Methods

### 2.1. Study Area

Lebialem is located in the northeastern part of the southwest region of Cameroon (latitudes 5°38′N and 5°43′N and between longitudes 9°58′E and 10°27′E) [11, 12]. Lewoh-Lebang is located between latitudes 5°45′ and 5°47′N and longitudes 9°91′E and 9°94′E and at altitudes ranging from 1456 to 1835 m (Figure 1). The climate of this region is similar to that of the Cameroon mountain range which is characterized by high winds and low sunshine [8]. The average daily temperature varies very much with seasons but has ranges of 17 to 32°C, and the mean annual rainfall range from 2000 was 3000 mm [8]. The main vegetation type is grassland with patches of montane and submontane forests mainly as a result of human activities particularly cocoyam farming in the lowland forest [13].Figure 1
Map of Atullah, Leleng, Mbindia, and Nyitebong forests, Southwest Cameroon.


### 2.2. Sampling

Sampling was carried out in four different sites: Atullah (5°46′N and 9°93′E), Leleng (5°47′N and 9°94′E), Mbindia (5°45′N and 9°91′E), and Nyitebong (5°46′N and 9°91′E). Each site was divided into submontane (800–1600 m altitude) and montane levels (≥1600 m altitude). The study sites and the altitudes used were subdivided following the classification done by Harvey et al. [14]. Within each of the stratum, a plot of 1 ha (40 m × 250 m) was laid and was subdivided into 10 subplots of 10 × 10 m placed at regular intervals of 50 m from each other. Within each plot, all individual trees were identified, measured, and recorded. Taxa were identified in situ by a taxonomist from the Limbe Botanic Garden. The diameters at breast height of the species were measured using a diameter tape. Trees were grouped into the following diameter classes: small trees (1–9.9 cm), medium-sized trees (10–29.9 cm), and large trees (>29.9 cm) following a grouping done by Kenfack et al. [15]. These species were further grouped into four life forms defined by their maximum attainable heights as follows: treelets (small trees) (<10 m), understorey (10–20 m), canopy (20–30 m), and emergent (>30 m) [16].Voucher specimens were prepared and compared with those at the Limbe Botanic Garden Herbarium (SCA) and the Cameroon National Herbarium (YA). Rare species were identified in situ to prevent forward destruction. At each altitude level, soil samples were collected, air dried and standard procedures [17–20] were used to analyse the samples. The following soil parameters were analysed: soil pH determined in the ration of 2 : 5 (w/v) soil water suspension, organic carbon by chromic acid digestion and spectrophotometric analysis [18]. Total nitrogen was determined by wet acid digestion [17], and exchangeable cations (calcium, magnesium, and potassium) were extracted using the Mehlich-3 procedure [19] and atomic absorption spectrophotometry. Available phosphorus was extracted by the Bray-1 procedure and analysed using the molybdate blue procedure described by Murphy and Riley [20].


### 2.3. Data Processing and Analysis

Species diversities were determined using the Shannon-Weaver Diversity Index(H):H=(Pi) (logn Pi), where Pi=ni/N, ni= number of individuals of species i, and N = total number of individuals [21]. Pearson correlation was conducted to determine the relationship between the soil physicochemical factors and species richness and diversity.


## 2.1. Study Area

Lebialem is located in the northeastern part of the southwest region of Cameroon (latitudes 5°38′N and 5°43′N and between longitudes 9°58′E and 10°27′E) [11, 12]. Lewoh-Lebang is located between latitudes 5°45′ and 5°47′N and longitudes 9°91′E and 9°94′E and at altitudes ranging from 1456 to 1835 m (Figure 1). The climate of this region is similar to that of the Cameroon mountain range which is characterized by high winds and low sunshine [8]. The average daily temperature varies very much with seasons but has ranges of 17 to 32°C, and the mean annual rainfall range from 2000 was 3000 mm [8]. The main vegetation type is grassland with patches of montane and submontane forests mainly as a result of human activities particularly cocoyam farming in the lowland forest [13].Figure 1
Map of Atullah, Leleng, Mbindia, and Nyitebong forests, Southwest Cameroon.


## 2.2. Sampling

Sampling was carried out in four different sites: Atullah (5°46′N and 9°93′E), Leleng (5°47′N and 9°94′E), Mbindia (5°45′N and 9°91′E), and Nyitebong (5°46′N and 9°91′E). Each site was divided into submontane (800–1600 m altitude) and montane levels (≥1600 m altitude). The study sites and the altitudes used were subdivided following the classification done by Harvey et al. [14]. Within each of the stratum, a plot of 1 ha (40 m × 250 m) was laid and was subdivided into 10 subplots of 10 × 10 m placed at regular intervals of 50 m from each other. Within each plot, all individual trees were identified, measured, and recorded. Taxa were identified in situ by a taxonomist from the Limbe Botanic Garden. The diameters at breast height of the species were measured using a diameter tape. Trees were grouped into the following diameter classes: small trees (1–9.9 cm), medium-sized trees (10–29.9 cm), and large trees (>29.9 cm) following a grouping done by Kenfack et al. [15]. These species were further grouped into four life forms defined by their maximum attainable heights as follows: treelets (small trees) (<10 m), understorey (10–20 m), canopy (20–30 m), and emergent (>30 m) [16].Voucher specimens were prepared and compared with those at the Limbe Botanic Garden Herbarium (SCA) and the Cameroon National Herbarium (YA). Rare species were identified in situ to prevent forward destruction. At each altitude level, soil samples were collected, air dried and standard procedures [17–20] were used to analyse the samples. The following soil parameters were analysed: soil pH determined in the ration of 2 : 5 (w/v) soil water suspension, organic carbon by chromic acid digestion and spectrophotometric analysis [18]. Total nitrogen was determined by wet acid digestion [17], and exchangeable cations (calcium, magnesium, and potassium) were extracted using the Mehlich-3 procedure [19] and atomic absorption spectrophotometry. Available phosphorus was extracted by the Bray-1 procedure and analysed using the molybdate blue procedure described by Murphy and Riley [20].


## 2.3. Data Processing and Analysis

Species diversities were determined using the Shannon-Weaver Diversity Index(H):H=(Pi) (logn Pi), where Pi=ni/N, ni= number of individuals of species i, and N = total number of individuals [21]. Pearson correlation was conducted to determine the relationship between the soil physicochemical factors and species richness and diversity.


## 3. Results

Table1 shows the different plant species, their code, authors and life forms found in the study sites (Atullah, Leleng, Mbindia, and Nyitebong). A total of 100 species were recorded in all the four sites belonging to 39 families and 82 genera in which 94% were identified to species level and 6% identified to genus level. Out of the 100 species identified in the study sites, 39 species were treelets, mostly <10 m tall, and 24 species were understory trees <20 m tall and seldom reaching the canopy. Twenty-five (25) species were main canopy species and 11 species were emergent trees species.Table 1
Species composition of plants at the study sites (Atullah, Leleng, Mbindia, and Nyitebong forests).
Code
Family
Genera
Scientific name
Author(s)
Form
CAE2
Fabaceae
Albizia
Albizia adianthifolia
(Schumach.) W. F. Wight
Canopy
ALFL
Clusiaceae
Allanblackia
Allanblackia gabonensis
(Pellegr.) Bamps
Canopy
MAL1
Phyllanthaceae
Antidesma
Antidesma laciniatum
Mull.Arg.
Treelet
WARA
Rutaceae
Araliopsis
Araliopsis tabouensis
Aubrev. and Pellegr.
Emergent
BEIL
Lauraceae
Beilschmiedia
Beilschmiedia sp. 1
Canopy
WFIC
Lauraceae
Beilschmiedia
Beilschmiedia sp. 2
Understorey
BEL1
Rubiaceae
Belonophora
Belonophora coriacea
Holye
Treelet
BEWE
Rubiaceae
Belonophora
Belonophora werhnamii
Hutch. and Dalziel
Treelet
WBER
Melianthaceae
Bersama
Bersama abyssinica
Fres
Treelet
CPD3
Sapindaceae
Blighia
Blighia sapida
Konig
Emergent
BRMI
Phyllanthaceae
Bridelia
Bridelia micrantha
(Hochst.) Baill.
Canopy
WCAR
Meliaceae
Carapa
Carapa grandiflora
Sprague
Canopy
COF4
Rubiaceae
Chazaliella
Chazaliella sp.
Understorey
SAP5
Chrysobalanaceae
Chrysobalanus
Chrysobalanus icaco
(A. Chev.) F. White
Canopy
SAPO
Sapotaceae
Chrysophyllum
Chrysophyllum sp.
Canopy
CPD1
Sapindaceae
Chytranthus
Chytranthus talbotia
(Baker f.) Keay
Understorey
UNKN 2
Rubiaceae
Coffea
Coffea sp.
Treelet
COHE
Sterculiaceae
Cola
Cola heterophylla
(P.Beauv.) Schott and Endl
Treelet
COME
Sterculiaceae
Cola
Cola megalophylla
Brenan and Keay
Emergent
CONI
Sterculiaceae
Cola
Cola accuminata
(Vent.) Schott and Endt.
Understorey
MAL2
Sterculiaceae
Cola
Cola chlamydantha
K. Schum.
Understorey
CRAR
Rubiaceae
Craterispermum
Craterispermum aristatum
Wernharm
Treelet
CRSP
Rubiaceae
Craterispermum
Craterispermum cf laurinum
(Poir) Benth.
Treelet
WRIC
Caricaceae
Cylicomorpha
Cylicomorpha solmsii
(Urb.) Urb.
Treelet
DASP
Burseraceae
Dacryodes
Dacryodes klaineana
(Pierre) H.J. Lam
Canopy
BAIN?
Flacourtiaceae
Dasylepis
Dasylepis blackii
(Oliv. ) Chipp
Understorey
DORT
Melastomataceae
Dichaetanthera
Dichaetanthera africana
(Hook.f.) Jacq.-Fel.
Treelet
DIOG
Olacaceae
Diogoa
Diogoa zenkeri
(Endl.) Exell and Mendonta
Canopy
DIIT
Ebenaceae
Diospyros
Diospyros iturensis
(Gurke) Letouzey and F. White
Understorey
DRA 1
Dracaenaceae
Dracaena
Dracaena arborea
(Willd.) Link
Treelet
DRY
Euphorbiaceae
Drypetes
Drypetes laciniata
Hutch.
Treelet
CACTUS
Euphorbiaceae
Euphorbia
Euphorbia desmindi
Keay and Milne-Redhead
Treelet
FICU 2
Moraceae
Ficus
Ficus mucuso
Welw. Ex. Ficalho
Understorey
GASP?
Rubiaceae
Gaertnera
Gaertnera paniculata
Benth.
Treelet
SAP1
Sapotaceae
Gambeya
Gambeya africana
G. Don
Understorey
PEBU2
Clusiaceae
Garcinia
Garcinia smeathmanii
(Planch and Triana) Oliv.
Understorey
UN4
Tiliaceae
Glyphaea
Glyphaea brevis
(Spreng.) Monach.
Treelet
CPD4
Meliaceae
Guarea
Guarea cf glomerulata
Harm
Treelet
GUA
Meliaceae
Guarea
Guarea thompsonii
Sprague and Hutch.
Emergent
WCRAR
Simaroubaceae
Hannoa
Hannoa klaineana
Pierre and Engl.
Canopy
WPYAN
Clusiaceae
Harungana
Harungana madagascariensis
Lam. ex Poir
Understorey
HYZE
Lauraceae
Hypodaphnis
Hypodaphnis zenkeri
(Engl.) Stapf.
Canopy
ANNL
Annonaceae
Isolona
Isolona maitlandii
Keay
Canopy
IXHI
Rubiaceae
Ixora
Ixora hippoperifera
Bremek.
Treelet
UN 1
Bignonaceae
Kigelia
Kigelia Africana
(Lam.) Benth.
Canopy
LEKL
Sapotaceae
Lecomtedoxa
Lecomtedoxa klaineana
(Pierre ex Engl.) Dubard
Emergent
HOLO
Leeaceae
Leea
Leea guineensis
G. Don
Treelet
LEPA
Sterculiaceae
Leptonychia
Leptonychia pallid
K. Schum.
Treelet
MAMO
Euphorbiaceae
Macaranga
Macaranga monandra
Mull.Arg.
Canopy
ROS
Myrsinaceae
Maesa
Maesa lanceolata
Mez
Understorey
UN2
Sapotaceae
Manilkara
Manilkara sp.
Canopy
MBETE
Sterculiaceae
Mansonia
Mansonia altissima
(A. Chev.) A. Chev.
Canopy
MEM
Melastomataceae
Memecylon
Memecylon afzelii
G. Don
Treelet
MIPU
Pandaceae
Microdesmis
Microdesmis puberula
Hook.f. ex Planch.
Treelet
MYSP
Cecropiaceae
Myrianthus
Myrianthus preussii
Engl.
Canopy
OLA
Olacaceae
Olax
Olax latifolia
Engl.
Treelet
COMI
Salicaceae
Oncoba
Oncoba mannii
Oliv.
Understorey
ACDET
Rutaceae
Vepris
Vepris trifoliolata
(Engl.) Verdoorn
Treelet
SCMA2
Rubiaceae
Pausinystalia
Pausinystalia macroceras
(K.Schum.) Pierre ex Beille
Canopy
PEBU
Clusiaceae
Pentadesma
Pentadesma butyracea
Sabine
Emergent
PICA
Piperaceae
Piper
Piper capense
Linn.
Treelet
PIAF
Fabaceae
Piptadeniastrum
Piptadeniastrum africanum
(Hook.f.) Brenan
Emergent
SCTR
Annonaceae
Piptostigma
Piptostigma oyemense
Pellegrin
Understorey
POPA
Annonaceae
Polyceratocarpus
Polyceratocarpus parviflorus
(Baker f.) Ghesq.
Treelet
SHAB
Araliaceae
Polyscias
Polyscias fulva
(Hiern) Harms
Understorey
PSY
Rubiaceae
Psychotria
Psychotria cf djumaensis
De Wild.
Treelet
PSYBM
Rubiaceae
Psychotria
Psychotria penducularis
(Salisb.) Steyerm.
Treelet
PSYL
Rubiaceae
Psychotria
Psychotria camptopus
Verdc.
Treelet
PSYLS
Rubiaceae
Psychotria
Psychotria strictistipula
Schnell.
Treelet
PYAN
Myristicaceae
Pycnanthus
Pycnanthus angolensis
(Welw.) Warb.
Emergent
RAVO
Apocynaceae
Rauvolfia
Rauvolfia vomitoria
Afzel.
Understorey
ROLU
Rubiaceae
Rothmannia
Rothmannia talbotii
(Wernham) Keay
Treelet
WON
Celastraceae
Salicia
Salicia staudtiana
Laos
Understorey
SATR
Burseraceae
Santeria
Santeria balsamifera
Oliv.
Emergent
OCN
Araliaceae
Schefflera
Schefflera hierniana
Harms
Canopy
SCMA
Rubiaceae
Schumanniophyton
Schumanniophyton magnificum
(K.Schum.) Harms
Treelet
SPCA
Bignonaceae
Spathodea
Spathodea campanulata
P. Beauv.
Canopy
RUBR
Rubiaceae
Stipularia
Stipularia africana
P. Beauv.
Treelet
STPU
Olacaceae
Strombosia
Strombosia pustulata
Oliv.
Canopy
STRO
Olacaceae
Strombosia
Strombosia grandifolia
Hook.f. ex Benth.
Understorey
STSC
Olacaceae
Strombosia
Strombosia scheffleri
Engl.
Canopy
GAR2
Clusiaceae
Symphonia
Symphonia globulifera
L.f.
Emergent
TABR
Apocynaceae
Tabernaemontana
Tabernaemontana brachyantha
Stapf
Canopy
TACR
Apocynaceae
Tabernaemontana
Tabernaemontana crassa
Benth
Canopy
MISP
Ulmaceae
Trema
Trema guineensis
(Schum. and Thonn.) Ficalho.
Understorey
COF
Rubiaceae
Tricalysia
Tricalysia atherura
N. Hallé
Treelet
CPD2
Anacardiaceae
Trichoscypha
Trichoscypha patens
(Oliv.) Engl.
Understorey
FICU
Moraceae
Trilepisium
Trilepisuim madagascariense
DC.
Treelet
UVKO
Annonaceae
Uvariopsis
Uvariopsis korupensis
Gereau and Kenfack
Understorey
VEAM
Asteraceae
Vernonia
Vernonia amygdalina
Del. Cent.
Treelet
VECO
Asteraceae
Vernonia
Vernonia conferta
Benth
Treelet
VESP
Asteraceae
Vernonia
Vernonia sp.
Treelet
UNKN
Apocynaceae
Voacanga
Voacanga bracteata
Stapf
Treelet
VO1
Apocynaceae
Voacanga
Voacanga psilocalyx
Pierre ex Stapf.
Treelet
WAR2
Melastomataceae
Warneckea
Warneckea jasminoides
(Gilg.) Jacq.-Fel.
Understorey
DIOS
Annonaceae
Xylopia
Xylopia africana
(Benth.) Oliv.
Canopy
ALPD
Monimiaceae
Xymalos
Xymalos monospora
(Harv.) Baill. Ex Warb.
Understorey
WXAN
Rutaceae
Zanthoxylum
Zanthoxylum buesgenii
Engl.
Canopy
XANSR
Rutaceae
Zanthoxylum
Zanthoxylum gilletii
(De Wild.) P.G. Waterman
Emergent
WAR1
Melastomataceae
Warneckea pulcherrima
(Hook.f.) Jacq-Fel.
UnderstoreyFrom the 39 families recorded in the study sites, the Rubiaceae had the highest number of genera (12) and species (17) followed by the Sterculiaceae with 6 species and 3 genera. A total of 82 genera were recorded in the study sites.Cola (Rubiaceae) were the most abundant genera with the highest number of species (4). This was followed by the genera Strombosia(Olacaceae) and Vernonia(Asteraceae) having 3 species each (Table 1).Table2 shows the different trees species found in the different study sites and their relative abundance. In the four sites, 2113 individuals were sampled. The species with the highest number of individual was Macaranga monandra (179) with a relative abundance of 8.47%. It was followed by Pentadesma butyracea (131 individuals and relative abundance of 6.20%), Gaertnera paniculata, and Maesa lanceolata (109 individuals and relative abundance of 5.16 each).Table 2
Tree species abundance in the different study sites.
Code
Scientific name
Family
Nyitebong
Mbindia
Attuleh
Leleng
Total
Rel. abun.
ACDET
Vepris trifoliata
Rutaceae
—
7
—
—
7
0.33
ALFL
Allanblackia gabonensis
Clusiaceae
1
—
—
—
1
0.05
ALPD
Xymalos monospora
Monimiaceae
—
—
54
5
59
2.79
ANNL
Isolona maitlandii
Annonaceae
—
6
—
9
15
0.71
BAIN?
Dasylepis blackii
Achariaceae
30
—
4
—
34
1.61
BEIL
Beilschmiedia sp. 1
Lauraceae
1
—
—
—
1
0.05
BEL1
Belonophora coriacea
Rubiaceae
—
—
1
—
1
0.05
BEWE
Belonophora coriacea
Rubiaceae
1
16
1
—
18
0.85
BRMI
Bridelia micrantha
Phyllanthaceae
—
—
40
2
42
1.99
CACTUS
Euphorbia desmindi
Euphorbiaceae
—
—
—
1
1
0.05
CAE2
Albizia adianthifolia
Fabaceae
—
7
—
—
7
0.33
COF
Tricalysia atherura
Rubiaceae
1
7
1
—
9
0.43
COF4
Chazaliella sp.
Rubiaceae
13
4
—
—
17
0.80
COHE
Cola heterophylla
Sterculiaceae
11
46
—
1
58
2.74
COME
Cola megalophylla
Sterculiaceae
1
—
—
—
1
0.05
COMI
Oncoba mannii
Salicaceae
7
—
—
1
8
0.38
CONI
Cola accuminata
Sterculiaceae
—
1
6
4
11
0.52
CPD1
Chytranthus talbotia
Sapindaceae
8
22
—
2
32
1.51
CPD2
Trichoscypha patens
Anacardiaceae
—
—
—
7
7
0.33
CPD3
Blighia sapida
Sapindaceae
—
—
2
2
4
0.19
CPD4
Guarea cf glomerulata
Meliaceae
—
—
—
4
4
0.19
CRAR
Craterispermum aristatum
Rubiaceae
—
1
—
—
1
0.05
CRSP
Craterispermum cf laurinum
Rubiaceae
—
—
—
2
2
0.09
DASP
Dacryodes klaineana
Burseraceae
—
8
—
—
8
0.38
DIIT
Diospyros iturensis
Ebenaceae
—
8
—
—
8
0.38
DIOG
Diogoa zenkeri
Olacaceae
1
—
—
—
1
0.05
DIOS
Xylopia africana
Annonaceae
30
1
3
—
34
1.61
DORT
Dichaetanthera Africana
Melastomataceae
—
6
—
—
6
0.28
DRA 1
Dracaena arborea
Dracaenaceae
16
32
1
—
49
2.32
DRY
Drypetes laciniata
Euphorbiaceae
4
12
—
—
16
0.76
FICU
Trilepisuim
madagascariense
Moraceae
26
7
4
1
38
1.80
FICU 2
Ficus mucuso
Moraceae
11
8
29
18
66
3.12
GAR2
Symphonia globulifera
Clusiaceae
—
—
13
—
13
0.62
GASP?
Gaertnera paniculata
Rubiaceae
103
2
2
2
109
5.16
GUA
Guarea cf thompsonii
Meliaceae
4
3
—
—
7
0.33
HOLO
Leea guineensis
Leeaceae
—
—
—
7
7
0.33
HYZE
Hypodaphnis zenkeri
Lauraceae
—
5
—
—
5
0.24
IXHI
Ixora hippoperifera
Rubiaceae
1
—
18
—
19
0.90
LEKL
Lecomtedoxa klaineana
Sapotaceae
34
6
—
—
40
1.89
LEPA
Leptonychia pallida
Malvaceae
—
2
—
—
2
0.09
MAL1
Antidesma laciniatum
Phyllanthaceae
—
7
—
—
7
0.33
MAL2
Cola chlamydantha
Sterculiaceae
—
—
7
8
15
0.71
MAMO
Macaranga monandra
Euphorbiaceae
15
8
50
106
179
8.47
MBETE
Mansonia altissima
Malvaceae
—
—
7
2
9
0.43
MEM
Memecylon afzelii
Melastomataceae
4
1
—
—
5
0.24
MIPU
Microdesmis puberula
Pandaceae
—
1
—
—
1
0.05
MISP
Trema guineensis
Ulmaceae
1
—
12
5
18
0.85
MYSP
Myrianthus preussii
Moraceae
—
17
3
7
27
1.28
OCN
Schefflera hierniana
Araliaceae
10
—
—
—
10
0.47
OLA
Olax latifolia
Olacaceae
18
1
1
—
20
0.95
PEBU
Pentadesma butyracea
Clusiaceae
123
8
—
—
131
6.20
PEBU2
Garcinia smeathmanii
Clusiaceae
2
—
—
7
9
0.43
PIAF
Piptadeniastrum africanum
Fabaceae
—
—
6
—
6
0.28
PICA
Piper capense
Piperaceae
—
—
—
1
1
0.05
POPA
Polyceratocarpus parviflorus
Annonaceae
—
—
—
2
2
0.09
PSY
Psychotria cf djumaensis
Rubiaceae
5
26
31
—
62
2.93
PSYBM
Psychotria peduncularis
Rubiaceae
—
1
29
14
44
2.08
PSYL
Psychotria camptopus
Rubiaceae
2
2
—
—
4
0.19
PSYLS
Psychotria strictistipula
Rubiaceae
26
19
15
1
61
2.89
PYAN
Pycnanthus angolensis
Myristicaceae
1
—
—
—
1
0.05
RAVO
Rauvolfia vomitoria
Apocynaceae
—
—
24
20
44
2.08
ROLU
Rothmannia talbotii
Rubiaceae
—
4
—
1
5
0.24
ROS
Maesa lanceolata
Myrsinaceae
46
3
58
2
109
5.16
RUBR
Stipularia africana
Rubiaceae
7
—
—
—
7
0.33
SAP1
Gambeya africana
Sapotaceae
1
3
5
—
9
0.43
SAP5
Chrysobalanus icaco
Chrysobalanaceae
—
2
1
—
3
0.14
SAPO
Chrysophyllum sp.
Sapotaceae
3
1
—
—
4
0.19
SATR
Santeria balsamifera
Burseraceae
12
22
—
—
34
1.61
SCMA
Schumanniophyton magnificum
Rubiaceae
5
2
8
—
15
0.71
SCMA2
Pausinystalia macroceras
Rubiaceae
—
—
5
—
5
0.24
SCTR
Piptostigma oyemense
Annonaceae
1
—
—
—
1
0.05
SHAB
Polyscias fulva
Araliaceae
—
2
—
12
14
0.66
SPCA
Spathodea campanulata
Bignonaceae
1
—
—
—
1
0.05
STPU
Strombosia pustulata
Olacaceae
—
17
2
2
21
0.99
STRO
Strombosia grandifolia
Olacaceae
6
9
—
1
16
0.76
STSC
Strombosia scheffleri
Olacaceae
3
1
—
—
4
0.19
TABR
Tabernaemontana brachyantha
Apocynaceae
2
—
1
1
4
0.19
TACR
Tabernaemontana crassa
Apocynaceae
6
8
7
19
40
1.89
UN 1
Kigelia africana
Bignonaceae
3
—
—
—
3
0.14
UN2
Manilkara sp.
Sapotaceae
6
13
18
3
40
1.89
UN4
Glyphaea brevis
Tiliaceae
9
18
—
—
27
1.28
UNKN
Voacanga bracteata
Apocynaceae
1
2
—
—
3
0.14
UNKN 2
Coffea sp.
Rubiaceae
4
2
1
—
7
0.33
UVKO
Uvariopsis korupensis
Annonaceae
2
6
—
—
8
0.38
VEAM
Vernonia amygdalina
Asteraceae
3
—
4
—
7
0.33
VECO
Vernonia conferta
Asteraceae
8
9
31
31
79
3.74
VESP
Vernonia sp.
Asteraceae
2
—
11
1
14
0.66
VO1
Voacanga psilocalyx
Apocynaceae
4
3
—
1
8
0.38
WAR1
Warneckea pulcherrima
Melastomataceae
—
7
—
—
7
0.33
WAR2
Warneckea jasminoides
Melastomataceae
1
6
1
1
9
0.43
WARA
Araliopsis tabouensis
Rutaceae
—
3
18
9
30
1.42
WBER
Bersama abyssinica
Melianthaceae
—
—
—
8
8
0.38
WCAR
Carapa grandifolia
Meliaceae
5
3
22
9
39
1.85
WCRAR
Hannoa klaineana
Simaroubaceae
24
9
1
1
35
1.66
WFIC
Beilschmiedia sp. 2
Lauraceae
34
—
2
2
38
1.80
WON
Salicia staudtiana
Celastraceae
—
—
—
2
2
0.09
WPYAN
Harungana madagascariensi
Clusiaceae
4
—
2
2
8
0.38
WRIC
Cylicomorpha solmsii
Caricaceae
1
—
—
2
3
0.14
WXAN
Zanthoxylum buesgenii
Rutaceae
—
—
—
7
7
0.33
XANSR
Zanthoxylum gilletii
Rutaceae
8
1
2
4
15
0.71
Total
723
464
564
362
2113
100Thirteen (13) species were common in all the four sites:Trilepisium madagascariense (Moraceae), Ficus mucuso (Moraceae), Gaertnera paniculata (Rubiaceae), Macaranga monandra (Euphorbiaceae), Psychotria strictistipula(Rubiaceae), Maesa lanceolata (Myrsinaceae), Tabernaemontana crassa (Apocynaceae), Manilkara sp. (Sapotaceae), Vernonia conferta (Asteraceae), Warneckea jasminoides (Melastomataceae), Carapa grandiflora (Meliaceae), Hannoa klaineana (Simaroubaceae), and Zanthoxylum gilletii (Rutaceae).In Nyitebong, 60 species were recorded from 26 families and 51 genera. The most abundant species werePentadesma butyracea (123 individuals) andGaertnera paniculata (103) with several families having only one species representative. Allanblackia gabonensis (Clusiaceae), Beilschmiedia sp1 (Lauraceae), Cola megalophylla (Sterculiaceae), Diogoa zenkeri (Olacaceae), Piptostigma oyemense (Annonaceae), Pycnanthus angolensis (Myristicaceae), Spathodea campanulata (Bignoniaceae), and Kigelia africana (Bignoniaceae) were rare species having only one individual recorded in the area.In Mbindia, 59 species were recorded from 28 families and 51 genera. The most abundant species wereCola heterophylla (46 individuals) and Dracaena arborea (32 individuals). The rare species having only one individual included Craterispermum aristatum (Rubiaceae) and Microdesmis puberula (Pandaceae), which was found only in Mbindia.In Atullah, 46 species were recorded from 24 families and 51 genera. The most abundant species wereMaesa lanceolata (58 individuals) and Xymalos monospora (54 individuals) while Balanophora coriacea(Rubiaceae) was the only rare species.In Leleng, 49 species were recorded from 28 families and 42 genera. The most abundant species wereMacaranga monandra (106 individuals) and Vernonia conferta(31 individuals). The rare species having only one individual and occurring only at Leleng included Euphorbia desmindi (Euphorbiaceae) and Piper capense (Piperaceae).


### 3.1. Diversity

The Shannon-Weaver Diversity Index(H′), Pielou’s Evenness, and the species richness (d) of the different study sites are shown in Table 3. Nyitebong and Mbindia submontane forests were the most diverse communities with the highest indices of 3.18 and 3.10, respectively. The least diverse sites was Leleng submontane with H′=2.5261. In terms of evenness, the submontane forest at Mbindia had the most evenly distributed species with Pielou’s Evenness value of 0.89. The richest forest in terms of number of species was the submontane forest at Nyitebong with Margalef richness value of 7.12.Table 3
Diversity indices, evenness, and species richness in different sites.
Location
Shannon Weaver (H′)
Pielou's Evenness (E)
Margalef (D)
Attuleh montane
2.82
0.87
4.82
Mbindia submontane
3.10
0.89
6.65
Leleng montane
2.77
0.83
5.75
Leleng submontane
2.53
0.78
4.99
Nyitebong montane
2.68
0.73
6.73
Nyitebong submontane
3.18
0.87
7.12


### 3.2. Species Similarity

Figure2 represents a dendrogram showing similarities between the four different study sites. The distance correlation (ward linkage) between Attuleh and Leleng is minimal (0.44), and this shows that Attuleh and Leleng have many plants species that are similar and their similarity index was 77.8%. Nyitebong was less similar to all the other sites.Figure 2
Similarities between the different study sites.Figure3 shows the different diameter classes found in the different study sites. The diameter range was grouped as small trees (1–9.9 cm), medium-sized trees (9.9–29.9 cm), and large trees (>29.9 cm). The four sites were dominated by trees species having diameters ranging from 10 to 99 mm (small trees). Medium-sized trees were also present in all the sites. There were very few trees with large diameters (>29.9 cm) occurring at Nyitebong (0.7%), Mbindia (4.1%), and Leleng (3.0%), and no large tree was found in Attuleh forest.Figure 3
Diameter class distribution of the different study sites.In Nyitebong, 464 trees (82.1%) with DBH range of 10–99 mm and 101 trees (17.9%) with DBH range of 100–299 mm were recorded. In Leleng, 263 trees (72.7%) with DBH range of 1–9.9 cm, 88 trees (24.3%) with DBH range of 10–29.9 cm, and 11 trees (3.0%) with DBH ≥ 30 cm were recorded. In Nyitebong, 596 trees (82.1%) with DBH range of 1–9.9 cm, 125 trees (17.2%) with DBH range of 10–29.9 cm, and 5 trees (0.7%) with DBH ≥ 30 cm were recorded. In Mbindia, 379 trees (81.7%) with DBH range 1–9.9 cm, 66 trees (14.2%) with DBH range of 10–29.9 cm, and 19 trees (4.1%) with DBH ≥ 30 cm were recorded.Figure4 shows the similarities in diameter at breast height between different study sites. It shows that the DBH of plants in Attuleh and Nyitebong is very similar and that Mbindia has plants with DBH different from that of plants found in all other sites. Trees and shrubs had very similar diameters at Attuleh and Nyitebong (53.66). The diameter of plants at Mbindia was different from the diameter of plants in all other areas (50.91).Figure 4
Similarities in diameter at breast height between the different study sites.


### 3.3. Substrate Parameters

Table4 shows the physico-chemical properties of soils at the different forest levels. The pH of the study sites was acidic at all the forest levels ranging from 4.92 to 5.22 with Nyitebong submontane being the most acidic site. The calcium (4.864 cmol/kg), magnesium (2.043 cmol/kg), and ECEC (7.444 cmol/kg) content of the soil was higher in Attuleh than in all other sites. The CEC (25.540 cmol/kg) and Bray P (6.750 ppm) of the soil were higher in Nyitebong submontane than in all other sites. Nyitebong montane site had the lowest calcium (0.14 cmol/kg), magnesium (0.18 cmol/kg), and potassium (0.28 cmol/kg) content compared with the other sites. The organic carbon (4.145%), total nitrogen (0.601%), and C/N ratios (9.310%) of the soil were higher in Nyitebong montane than in all other sites. The soils of Nyitebong montane and submontane sites were sandy having the sand content of 57.40 and 51.06%, respectively. Soils at Attuleh had almost the same soil texture percentages while in Leleng the montane had high clay content (40.40%) compared with the submontane with 24.04% clay and 26.74% of silt.Table 4
Physicochemical properties of soils at the different sites.
Location/parameter
Org C
pH
Total N
Bray P
cmol(+)/kg
C/N
Sand
Clay
Silt
%
Water
%
ug/g or ppm
K
Ca
Mg
Na
ECEC
CEC
%
%
%
Atullah montane
3.73
5.19
0.42
4.00
0.49
4.86
2.04
0.04
7.44
20.58
8.83
33.57
35.89
30.53
Mbindia submontane
3.64
4.95
0.42
2.91
0.30
3.51
1.32
0.05
5.18
18.64
8.65
32.86
33.46
33.66
Leleng montane
2.72
5.04
0.33
2.63
0.51
3.71
1.71
0.05
5.99
19.66
8.13
32.85
40.40
26.74
Leleng submontane
2.61
5.32
0.32
1.91
0.30
3.91
1.43
0.04
5.68
14.59
8.00
33.54
24.04
42.42
Nyitebong montane
5.59
5.32
0.60
2.21
0.28
0.14
0.18
0.11
0.72
21.89
9.31
57.54
14.82
27.65
Nyitebong submontane
4.14
4.92
0.49
6.75
0.50
3.60
1.41
0.08
5.59
25.54
8.48
51.06
24.53
24.40Table5 shows the correlation between soil parameters, diversity indices, index of evenness, and species richness. The diversity and evenness of plants in study sites were negatively correlated with pH while there was no correlation with species richness (P>0.01 and P>0.05, resp.). Evenness was positively correlated with calcium and ECEC (P>0.05). The diversity of plants was positively correlated with Bray phosphorus content of the soil (P>0.05).Table 5
Correlation between soil and diversity parameters.
Correlations
pH
Ca
Mg
K
Na
ECEC
CEC
Bray P
Org C
Total N
C/N
Sand
Clay
Silt
Simpsonindex
Shannon Weaver(H′)
Pielou’s Evenness(E)
Margalef(D)
pH
1
Ca (cmol(+)/kg)
−0.364
1
Mg (cmol(+)/kg)
−0.364
0.976***
1
K (cmol(+)/kg)
−0.478
0.556
0.684
1
Na (cmol(+)/kg)
0.163
−0.909*****
−0.877*
−0.272
1
ECEC (cmol(+)/kg)
−0.379
0.995***
0.992***
0.630
−0.888**
1
CEC (cmol(+)/kg)
−0.472
−0.242
−0.169
0.496
0.600
−0.187
1
Bray P (ug/g or ppm)
−0.644
0.302
0.292
0.627
0.112
0.327
0.790*
1
Org C (%)
0.154
−0.781*
−0.759*
−0.273
0.896**
−0.766*
0.627
0.172
1
Total N (%)
0.086
−0.754*
−0.742*
−0.250
0.896**
−0.741*
0.670
0.249
0.996***
1
C/N
0.204
−0.638
−0.597
−0.261
0.692
−0.622
0.482
0.027
0.926***
0.901***
1
Sand (%)
0.127
−0.785*
−0.775*
−0.164
0.964***
−0.767*
0.684
0.312
0.868*
0.885**
0.624
1
Clay (%)
−0.478
0.746*
0.832*
0.602
−0.769*
0.779*
−0.178
0.029
−0.675
−0.681
−0.446
−0.812*
1
Silt (%)
0.475
0.260
0.117
−0.595
−0.531
0.181
−0.910***
−0.575
−0.505
−0.524
−0.418
−0.531
−0.064
1
Simpson index
−0.839*
0.318
0.333
0.474
−0.061
0.340
0.628
0.715
0.170
0.223
0.237
−0.011
0.401
−0.563
1
Shannon Weaver (H′)
−0.913***
0.197
0.168
0.337
0.064
0.202
0.645
0.759*
0.185
0.257
0.133
0.129
0.210
−0.525
0.936***
1
Pielou's Evenness (E)
−0.811*
0.748*
0.721
0.504
−0.572
0.747*
0.197
0.572
−0.360
−0.306
−0.239
−0.493
0.681
−0.145
0.842*
0.767*
1
Margalef (D)
−0.529
−0.561
−0.583
−0.132
0.704
−0.558
0.661
0.412
0.601
0.651
0.377
0.681
−0.405
−0.576
0.439
0.658
0.040
1
*Correlation is significant at the 0.05 level (1-tailed).
**Correlation is significant at 0.01 level (1-tailed).
***,  ****Correlation is highly significant at 0.01 level


## 3.1. Diversity

The Shannon-Weaver Diversity Index(H′), Pielou’s Evenness, and the species richness (d) of the different study sites are shown in Table 3. Nyitebong and Mbindia submontane forests were the most diverse communities with the highest indices of 3.18 and 3.10, respectively. The least diverse sites was Leleng submontane with H′=2.5261. In terms of evenness, the submontane forest at Mbindia had the most evenly distributed species with Pielou’s Evenness value of 0.89. The richest forest in terms of number of species was the submontane forest at Nyitebong with Margalef richness value of 7.12.Table 3
Diversity indices, evenness, and species richness in different sites.
Location
Shannon Weaver (H′)
Pielou's Evenness (E)
Margalef (D)
Attuleh montane
2.82
0.87
4.82
Mbindia submontane
3.10
0.89
6.65
Leleng montane
2.77
0.83
5.75
Leleng submontane
2.53
0.78
4.99
Nyitebong montane
2.68
0.73
6.73
Nyitebong submontane
3.18
0.87
7.12


## 3.2. Species Similarity

Figure2 represents a dendrogram showing similarities between the four different study sites. The distance correlation (ward linkage) between Attuleh and Leleng is minimal (0.44), and this shows that Attuleh and Leleng have many plants species that are similar and their similarity index was 77.8%. Nyitebong was less similar to all the other sites.Figure 2
Similarities between the different study sites.Figure3 shows the different diameter classes found in the different study sites. The diameter range was grouped as small trees (1–9.9 cm), medium-sized trees (9.9–29.9 cm), and large trees (>29.9 cm). The four sites were dominated by trees species having diameters ranging from 10 to 99 mm (small trees). Medium-sized trees were also present in all the sites. There were very few trees with large diameters (>29.9 cm) occurring at Nyitebong (0.7%), Mbindia (4.1%), and Leleng (3.0%), and no large tree was found in Attuleh forest.Figure 3
Diameter class distribution of the different study sites.In Nyitebong, 464 trees (82.1%) with DBH range of 10–99 mm and 101 trees (17.9%) with DBH range of 100–299 mm were recorded. In Leleng, 263 trees (72.7%) with DBH range of 1–9.9 cm, 88 trees (24.3%) with DBH range of 10–29.9 cm, and 11 trees (3.0%) with DBH ≥ 30 cm were recorded. In Nyitebong, 596 trees (82.1%) with DBH range of 1–9.9 cm, 125 trees (17.2%) with DBH range of 10–29.9 cm, and 5 trees (0.7%) with DBH ≥ 30 cm were recorded. In Mbindia, 379 trees (81.7%) with DBH range 1–9.9 cm, 66 trees (14.2%) with DBH range of 10–29.9 cm, and 19 trees (4.1%) with DBH ≥ 30 cm were recorded.Figure4 shows the similarities in diameter at breast height between different study sites. It shows that the DBH of plants in Attuleh and Nyitebong is very similar and that Mbindia has plants with DBH different from that of plants found in all other sites. Trees and shrubs had very similar diameters at Attuleh and Nyitebong (53.66). The diameter of plants at Mbindia was different from the diameter of plants in all other areas (50.91).Figure 4
Similarities in diameter at breast height between the different study sites.


## 3.3. Substrate Parameters

Table4 shows the physico-chemical properties of soils at the different forest levels. The pH of the study sites was acidic at all the forest levels ranging from 4.92 to 5.22 with Nyitebong submontane being the most acidic site. The calcium (4.864 cmol/kg), magnesium (2.043 cmol/kg), and ECEC (7.444 cmol/kg) content of the soil was higher in Attuleh than in all other sites. The CEC (25.540 cmol/kg) and Bray P (6.750 ppm) of the soil were higher in Nyitebong submontane than in all other sites. Nyitebong montane site had the lowest calcium (0.14 cmol/kg), magnesium (0.18 cmol/kg), and potassium (0.28 cmol/kg) content compared with the other sites. The organic carbon (4.145%), total nitrogen (0.601%), and C/N ratios (9.310%) of the soil were higher in Nyitebong montane than in all other sites. The soils of Nyitebong montane and submontane sites were sandy having the sand content of 57.40 and 51.06%, respectively. Soils at Attuleh had almost the same soil texture percentages while in Leleng the montane had high clay content (40.40%) compared with the submontane with 24.04% clay and 26.74% of silt.Table 4
Physicochemical properties of soils at the different sites.
Location/parameter
Org C
pH
Total N
Bray P
cmol(+)/kg
C/N
Sand
Clay
Silt
%
Water
%
ug/g or ppm
K
Ca
Mg
Na
ECEC
CEC
%
%
%
Atullah montane
3.73
5.19
0.42
4.00
0.49
4.86
2.04
0.04
7.44
20.58
8.83
33.57
35.89
30.53
Mbindia submontane
3.64
4.95
0.42
2.91
0.30
3.51
1.32
0.05
5.18
18.64
8.65
32.86
33.46
33.66
Leleng montane
2.72
5.04
0.33
2.63
0.51
3.71
1.71
0.05
5.99
19.66
8.13
32.85
40.40
26.74
Leleng submontane
2.61
5.32
0.32
1.91
0.30
3.91
1.43
0.04
5.68
14.59
8.00
33.54
24.04
42.42
Nyitebong montane
5.59
5.32
0.60
2.21
0.28
0.14
0.18
0.11
0.72
21.89
9.31
57.54
14.82
27.65
Nyitebong submontane
4.14
4.92
0.49
6.75
0.50
3.60
1.41
0.08
5.59
25.54
8.48
51.06
24.53
24.40Table5 shows the correlation between soil parameters, diversity indices, index of evenness, and species richness. The diversity and evenness of plants in study sites were negatively correlated with pH while there was no correlation with species richness (P>0.01 and P>0.05, resp.). Evenness was positively correlated with calcium and ECEC (P>0.05). The diversity of plants was positively correlated with Bray phosphorus content of the soil (P>0.05).Table 5
Correlation between soil and diversity parameters.
Correlations
pH
Ca
Mg
K
Na
ECEC
CEC
Bray P
Org C
Total N
C/N
Sand
Clay
Silt
Simpsonindex
Shannon Weaver(H′)
Pielou’s Evenness(E)
Margalef(D)
pH
1
Ca (cmol(+)/kg)
−0.364
1
Mg (cmol(+)/kg)
−0.364
0.976***
1
K (cmol(+)/kg)
−0.478
0.556
0.684
1
Na (cmol(+)/kg)
0.163
−0.909*****
−0.877*
−0.272
1
ECEC (cmol(+)/kg)
−0.379
0.995***
0.992***
0.630
−0.888**
1
CEC (cmol(+)/kg)
−0.472
−0.242
−0.169
0.496
0.600
−0.187
1
Bray P (ug/g or ppm)
−0.644
0.302
0.292
0.627
0.112
0.327
0.790*
1
Org C (%)
0.154
−0.781*
−0.759*
−0.273
0.896**
−0.766*
0.627
0.172
1
Total N (%)
0.086
−0.754*
−0.742*
−0.250
0.896**
−0.741*
0.670
0.249
0.996***
1
C/N
0.204
−0.638
−0.597
−0.261
0.692
−0.622
0.482
0.027
0.926***
0.901***
1
Sand (%)
0.127
−0.785*
−0.775*
−0.164
0.964***
−0.767*
0.684
0.312
0.868*
0.885**
0.624
1
Clay (%)
−0.478
0.746*
0.832*
0.602
−0.769*
0.779*
−0.178
0.029
−0.675
−0.681
−0.446
−0.812*
1
Silt (%)
0.475
0.260
0.117
−0.595
−0.531
0.181
−0.910***
−0.575
−0.505
−0.524
−0.418
−0.531
−0.064
1
Simpson index
−0.839*
0.318
0.333
0.474
−0.061
0.340
0.628
0.715
0.170
0.223
0.237
−0.011
0.401
−0.563
1
Shannon Weaver (H′)
−0.913***
0.197
0.168
0.337
0.064
0.202
0.645
0.759*
0.185
0.257
0.133
0.129
0.210
−0.525
0.936***
1
Pielou's Evenness (E)
−0.811*
0.748*
0.721
0.504
−0.572
0.747*
0.197
0.572
−0.360
−0.306
−0.239
−0.493
0.681
−0.145
0.842*
0.767*
1
Margalef (D)
−0.529
−0.561
−0.583
−0.132
0.704
−0.558
0.661
0.412
0.601
0.651
0.377
0.681
−0.405
−0.576
0.439
0.658
0.040
1
*Correlation is significant at the 0.05 level (1-tailed).
**Correlation is significant at 0.01 level (1-tailed).
***,  ****Correlation is highly significant at 0.01 level


## 4. Discussions

### 4.1. Species Diversity in the Study Sites

The forests of south-western Cameroon are generally known to be rich in species diversity because they are located within the high rainfall zone of the Guinean equatorial tropical forest. Tropical forest contains more than half of the global species diversity, and it is often subjected to increasing anthropogenic pressure which leads to loss of biodiversity [22]. It is also believed that this area formed a Pleistocene refugium during the last glacial period, becoming isolated and allowing the development of regional endemic species [3].In the study area, the most dominant family was the Rubiaceae, and this implies that the Rubiaceae could be the most dominant tree family in the Guinean equatorial forest. This result was in line with the findings of Ndam et al. [23] and Fonge et al. [24] who reported that the Rubiaceae was the most dominant tree family in the Mount Cameroon region. Kenfack et al. [15] also report Rubiaceae to be the most dominant tree family in the Korup National Park, and Kouamé et al. [25] reported that the Rubiaceae was the most dominant tree family in the Azagny National Park of Cote D’Ivoire. The submontane forest had more species than the montane forest, and this could be due to the fact that species richness decreases with altitude [3]. Twenty-eight (28) species of plants were found only in the submontane forest, while 15 plant species were found only in the montane forest. This high number of species found in the submontane area could be due to the disturbance (agriculture) which brings about the establishment of secondary species [11]. Thirteen (13) species of plants cut across all the 4 study sites and the ecology of these species show that they thrive across a wide range of habitats including both montane and submontane habitats.Allanblackia gabonensis is a rare species occurring only at Nyitebong. The absence of this species in the other sites might be due to deforestation. At these sites (Mbindia, Atullah, and Leleng) human activities particularly agriculture (slash and burn farming system) were higher than those in Nyitebong. Allanblackia gabonensis is of particular interest because it is vulnerable and of great economic value. This result is in line with the findings of Ndam et al. [26] who also reported Allanblackia gabonensis to be a rare species in the Mount Cameroon montane forest.


### 4.2. Species Richness and Diversity

According to Kent and Coker [27], a forest community is said to be rich if it has a Shannon Diversity value ≥3.5. All our sites had Shannon-Weaver Diversity indices values below 3.5 making the forest relatively poor in diversity. The submontane forest at Nyitebong was the most diverse and also the most even forest of all the four study sites followed by the submontane forest at Mbindia. This could be due to the fact that forests at Nyitebong and Mbindia were relatively undisturbed through anthropogenic factors such as agriculture and hunting. Secondly it might also be due to the abandonment of farming activities by the peasants and the successional changes in the vegetation as lands had been left to fallow for a very long time in both areas [24]. This had resulted in the reappearance of many plant species in this area. The submontane forest at Leleng was the least diverse of all the sites. This might be due to anthropogenic effects. In the Leleng area, cultivation, hunting, and collection of forest products were the main activities of the local population. Also we observed large plantations of cocoyams cultivated around the forest edges, and this crop is the main staples of the local community around the forest and is also their source of incoming, hence increasing the pressure on the surrounding forest [12, 24]. The action of the local people has led to untold suffering including homelessness loss of human lives, properties, and forest land, substantial loss of biodiversity, habitats, and loss of income sources leading to extreme levels of poverty [9, 28]. There is also loss of cultural values and serious degradation of habitats.


### 4.3. Threatened Species in the Study Sites

The majority of the taxa found in the studied area are of conservation value and importance. They occur mostly in the intricate mosaic of lowland and ridge forest formations, and the ecological fragility and anthropogenic pressure on the montane forest and submontane forest suggest that these ecotypes are of considerable conservation value. Out of the 100 species recorded, 6 species were threatened. These species includedAllanblackia gabonensis, Vepris trifoliolata, Schefflera hierniana, Xylopia africana, Guarea thompsonii,andCyclomorpha solmsii, and these were all vulnerable species according to IUCN [29]. The presence of these species in the study sites could be because this area is within the Mount Cameroon region which is reported to be a centre of biodiversity and endemism in Cameroon [30]. Scholes and Biggs [30] also found that montane forest contains several centre of endemism for birds, mammals, and plants. The floristic composition and the threatened/endangered species found in the IUCN categories show that this area is qualitatively diverse. The occurrence of threatened species in the area might also be due to the accidental nature of the terrain which restricted human activities especially agriculture to areas that were relatively accessible, thus allowing the inaccessible areas to be relatively undisturbed. Some of the threatened species such as Guarea thompsonii, Cyclomorpha solmsii,andSchefflera hierniana were used in the area as timber, medicine, and fencing, respectively, and this could be the reason why these species did not appear in all the study sites. The following species: Xymalos monospora, Tricalysia atherura,andPiptostigma oyemensewhich are endemic to Cameroon were also recorded in our study area.


### 4.4. Substrate Parameters

Based on studies of soil properties, phosphorus present in most tropical soils is lacking due to soil acidity, and fixation therefore becomes unavailable to plants for proper growth and development [31].Forest ecosystems are highly diversified in plant species and this great floristic diversity is supported by relatively poor and acidic soils [1]. Nyitebong was the most diverse of all sites having very acidic soils that have low calcium, magnesium, potassium, and sodium concentrations. This result corroborates the findings of Fonge et al. [24] who reported similar results in soils of the Mount Cameroon region. Nyitebong submontane forest also had the highest values in terms of carbon: nitrogen ratio, organic carbon, total nitrogen, Bray phosphorus, and CEC, and this explains its high floristic diversity. The high content of these elements could be because of the continuous accumulation of organic material on the top soil over the years from pioneer species (bryophytes, ferns, orchids, etc.), litter from trees, shrubs, and dead macro- and microorganisms which could be responsible for the regeneration of the vegetation cover [24, 32]. Nyitebong submontane had the highest percentages of organic carbon, and this might be the reason why they had a greater diversity compared with the other sites.Pearson correlation shows that organic carbon was positively correlated with the total nitrogen and the carbon-nitrogen ratio. These two nutrients are essential macronutrients for plant growth and vegetation establishment. The humid substances from the decay of organic materials aid in weathering of the parent rock and thereby increasing the amount of silt and clay in the soil. Nevertheless, this was not the case in Nyitebong where the sand content was high and this high content of sand could be attributed to the composition of the parent rock material and the weathering processes involved during soil formation and high rainfall which causes the leaching of nutrients from the soil. Leleng montane forest unlike most montane ecosystems had soils with high clay content. This might be due to the fact that the slope at Leleng was not steep and thus reducing the rate of erosion. Diversity was positively correlated with phosphorus concentration in the soil while it was negatively correlated with the pH. Evenness was negatively correlated with pH and positively correlated with ECEC and the calcium content of the soil. Potassium did not correlate with any of the parameters meaning that potassium did not influence the diversity and distribution of species in the study area. Phosphorus concentration of the soils (6.75 ppm) was the highest in Nyitebong submontane, but this value was relatively low compared with the findings of Mvondo Ze [33] who reported the phosphorus content of Mount Cameroon soils to be between 12 and 16 ppm. The low phosphorus concentration of soils in the study sites might be the reason for the low diversity in the area. Phosphorus was negatively correlated with pH in our study sites, and this was in line with the findings of Wada and Gunjigake [34] who reported that the amount of phosphorus in soils is correlated with the pH of the soil.


## 4.1. Species Diversity in the Study Sites

The forests of south-western Cameroon are generally known to be rich in species diversity because they are located within the high rainfall zone of the Guinean equatorial tropical forest. Tropical forest contains more than half of the global species diversity, and it is often subjected to increasing anthropogenic pressure which leads to loss of biodiversity [22]. It is also believed that this area formed a Pleistocene refugium during the last glacial period, becoming isolated and allowing the development of regional endemic species [3].In the study area, the most dominant family was the Rubiaceae, and this implies that the Rubiaceae could be the most dominant tree family in the Guinean equatorial forest. This result was in line with the findings of Ndam et al. [23] and Fonge et al. [24] who reported that the Rubiaceae was the most dominant tree family in the Mount Cameroon region. Kenfack et al. [15] also report Rubiaceae to be the most dominant tree family in the Korup National Park, and Kouamé et al. [25] reported that the Rubiaceae was the most dominant tree family in the Azagny National Park of Cote D’Ivoire. The submontane forest had more species than the montane forest, and this could be due to the fact that species richness decreases with altitude [3]. Twenty-eight (28) species of plants were found only in the submontane forest, while 15 plant species were found only in the montane forest. This high number of species found in the submontane area could be due to the disturbance (agriculture) which brings about the establishment of secondary species [11]. Thirteen (13) species of plants cut across all the 4 study sites and the ecology of these species show that they thrive across a wide range of habitats including both montane and submontane habitats.Allanblackia gabonensis is a rare species occurring only at Nyitebong. The absence of this species in the other sites might be due to deforestation. At these sites (Mbindia, Atullah, and Leleng) human activities particularly agriculture (slash and burn farming system) were higher than those in Nyitebong. Allanblackia gabonensis is of particular interest because it is vulnerable and of great economic value. This result is in line with the findings of Ndam et al. [26] who also reported Allanblackia gabonensis to be a rare species in the Mount Cameroon montane forest.


## 4.2. Species Richness and Diversity

According to Kent and Coker [27], a forest community is said to be rich if it has a Shannon Diversity value ≥3.5. All our sites had Shannon-Weaver Diversity indices values below 3.5 making the forest relatively poor in diversity. The submontane forest at Nyitebong was the most diverse and also the most even forest of all the four study sites followed by the submontane forest at Mbindia. This could be due to the fact that forests at Nyitebong and Mbindia were relatively undisturbed through anthropogenic factors such as agriculture and hunting. Secondly it might also be due to the abandonment of farming activities by the peasants and the successional changes in the vegetation as lands had been left to fallow for a very long time in both areas [24]. This had resulted in the reappearance of many plant species in this area. The submontane forest at Leleng was the least diverse of all the sites. This might be due to anthropogenic effects. In the Leleng area, cultivation, hunting, and collection of forest products were the main activities of the local population. Also we observed large plantations of cocoyams cultivated around the forest edges, and this crop is the main staples of the local community around the forest and is also their source of incoming, hence increasing the pressure on the surrounding forest [12, 24]. The action of the local people has led to untold suffering including homelessness loss of human lives, properties, and forest land, substantial loss of biodiversity, habitats, and loss of income sources leading to extreme levels of poverty [9, 28]. There is also loss of cultural values and serious degradation of habitats.


## 4.3. Threatened Species in the Study Sites

The majority of the taxa found in the studied area are of conservation value and importance. They occur mostly in the intricate mosaic of lowland and ridge forest formations, and the ecological fragility and anthropogenic pressure on the montane forest and submontane forest suggest that these ecotypes are of considerable conservation value. Out of the 100 species recorded, 6 species were threatened. These species includedAllanblackia gabonensis, Vepris trifoliolata, Schefflera hierniana, Xylopia africana, Guarea thompsonii,andCyclomorpha solmsii, and these were all vulnerable species according to IUCN [29]. The presence of these species in the study sites could be because this area is within the Mount Cameroon region which is reported to be a centre of biodiversity and endemism in Cameroon [30]. Scholes and Biggs [30] also found that montane forest contains several centre of endemism for birds, mammals, and plants. The floristic composition and the threatened/endangered species found in the IUCN categories show that this area is qualitatively diverse. The occurrence of threatened species in the area might also be due to the accidental nature of the terrain which restricted human activities especially agriculture to areas that were relatively accessible, thus allowing the inaccessible areas to be relatively undisturbed. Some of the threatened species such as Guarea thompsonii, Cyclomorpha solmsii,andSchefflera hierniana were used in the area as timber, medicine, and fencing, respectively, and this could be the reason why these species did not appear in all the study sites. The following species: Xymalos monospora, Tricalysia atherura,andPiptostigma oyemensewhich are endemic to Cameroon were also recorded in our study area.


## 4.4. Substrate Parameters

Based on studies of soil properties, phosphorus present in most tropical soils is lacking due to soil acidity, and fixation therefore becomes unavailable to plants for proper growth and development [31].Forest ecosystems are highly diversified in plant species and this great floristic diversity is supported by relatively poor and acidic soils [1]. Nyitebong was the most diverse of all sites having very acidic soils that have low calcium, magnesium, potassium, and sodium concentrations. This result corroborates the findings of Fonge et al. [24] who reported similar results in soils of the Mount Cameroon region. Nyitebong submontane forest also had the highest values in terms of carbon: nitrogen ratio, organic carbon, total nitrogen, Bray phosphorus, and CEC, and this explains its high floristic diversity. The high content of these elements could be because of the continuous accumulation of organic material on the top soil over the years from pioneer species (bryophytes, ferns, orchids, etc.), litter from trees, shrubs, and dead macro- and microorganisms which could be responsible for the regeneration of the vegetation cover [24, 32]. Nyitebong submontane had the highest percentages of organic carbon, and this might be the reason why they had a greater diversity compared with the other sites.Pearson correlation shows that organic carbon was positively correlated with the total nitrogen and the carbon-nitrogen ratio. These two nutrients are essential macronutrients for plant growth and vegetation establishment. The humid substances from the decay of organic materials aid in weathering of the parent rock and thereby increasing the amount of silt and clay in the soil. Nevertheless, this was not the case in Nyitebong where the sand content was high and this high content of sand could be attributed to the composition of the parent rock material and the weathering processes involved during soil formation and high rainfall which causes the leaching of nutrients from the soil. Leleng montane forest unlike most montane ecosystems had soils with high clay content. This might be due to the fact that the slope at Leleng was not steep and thus reducing the rate of erosion. Diversity was positively correlated with phosphorus concentration in the soil while it was negatively correlated with the pH. Evenness was negatively correlated with pH and positively correlated with ECEC and the calcium content of the soil. Potassium did not correlate with any of the parameters meaning that potassium did not influence the diversity and distribution of species in the study area. Phosphorus concentration of the soils (6.75 ppm) was the highest in Nyitebong submontane, but this value was relatively low compared with the findings of Mvondo Ze [33] who reported the phosphorus content of Mount Cameroon soils to be between 12 and 16 ppm. The low phosphorus concentration of soils in the study sites might be the reason for the low diversity in the area. Phosphorus was negatively correlated with pH in our study sites, and this was in line with the findings of Wada and Gunjigake [34] who reported that the amount of phosphorus in soils is correlated with the pH of the soil.


## 5. Conclusion

Biodiversity is in need of wise management not only to satisfy international pressures and obligations, but also because biodiversity could be the basis of most rural sustainable livelihoods in new economic sectors. The montane and submontane vegetation was subjected to human disturbance. In the Lebialem region, most of the tree species are treelets with a height range of about <10 m signifying anthropogenic disturbance. Rubiaceae was the most common family withCola being the most abundant genera followed by Strombosia(Olacaceae) and Vernonia(Asteraceae). The tree species were greatly affected by the soil physicochemical properties and were positively correlated with Bray phosphorus.


## 6. Recommendations

The population needs to be educated on sustainable farming techniques (e.g., agroforestry that maximizes production in reduced surface area) and sustainable forest management. This will help reduce the pressure on the forest and thus conserving the natural environment.More research should be geared towards effects of climate and landuse changes factors on vegetation establishment in this area as this will help in the management of landslide activities in these ecosystems.Reforestation programmes should be carried out by the government and councils to improve the water catchment.



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*Source: 642579-2013-09-22.xml*