International Journal of
Biodiversity and Conservation

  • Abbreviation: Int. J. Biodivers. Conserv.
  • Language: English
  • ISSN: 2141-243X
  • DOI: 10.5897/IJBC
  • Start Year: 2009
  • Published Articles: 680

Full Length Research Paper

Typology of cocoa-based agroforestry systems of the semi-deciduous forest zone in Togo (West Africa)

Oyetounde DJIWA
  • Oyetounde DJIWA
  • Food and Agriculture Organization of the United Nations (FAO) 01 BP. 4388, Lomé, Togo.
  • Google Scholar
Hodabalo PEREKI
  • Hodabalo PEREKI
  • Department of Botany, Laboratory of Botany and Plant Ecology, University of Lomé, 01 BP 1515, Lomé, Togo.
  • Google Scholar
Kudzo Atsu GUELLY
  • Kudzo Atsu GUELLY
  • Department of Botany, Laboratory of Botany and Plant Ecology, University of Lomé, 01 BP 1515, Lomé, Togo.
  • Google Scholar


  •  Received: 19 June 2020
  •  Accepted: 06 August 2020
  •  Published: 31 October 2020

 ABSTRACT

In the tropical zone, cocoa-based agroforest systems (CAFS) are considered as a mean to maintain and conserve biodiversiy. In the sub-humid zone of Togo (West Africa), agroforest plant species are key components of the landscape and agricultural lands. Cocoa and coffee agroforest systems contribute directly and indirectly to the livelihoods of an estimated one million people in Togo. Despite this fact, there is only few informations regarding their structure, and typology. The current study assessed the typology, tree structure and diversity of cocoa-based agroforest systems. 213 random plots across the study area were sampled using variable areas (25 × 25 m2, 50 × 50 m2 and 100 × 100 m2) for the survey. 4766 non-cocoa trees belonging to 195 plant species, 140 genera and 47 families were identified. Only woody trees were recorded during this study. The estimated average tree density was 159.21 ± 97.58 trees/ha, whereas the basal area was 54.19 m²/ha. Based on the Importance Value Index (IVI), the floristic composition, and the frequency of species, six groups (from G1 to G6) were discriminated. Each group was a particular type of CAFS. These results are similar to those obtained in the CAFS of West, Central Africa and other tropical zones, confirming CAFS key role in forest trees diversity conservation.

 

Key words: Cocoa-based agroforest system, typology, sub-humid, forest tree diversity, Togo.

 


 INTRODUCTION

Agroforests are qualified as agricultural lands of forest zone covered by more than 10% of woody trees (Zomer et al., 2009). In humid tropical areas, they are complex multispecies cropping systems whose value for farmers is often hard to assess (Jagoret et al., 2014). According to Correia et al. (2009), their multi-strata structure is shaped by  a  diversity  of  biological   form   and   habitat  (seedlings, woody trees, lianas and herbaceous) in order to make their ecological functions similar to that of  natural forests (de Foresta et al., 2000).
 
The important role of agroforest systems in general and of cocoa-based agroforest sytems (hereafter referred to as "CAFS") in particular is well known over the world.
 
Agroforestry  trees  may  enhance  vegetable intake  by providing vegetables in the form of leaves and fruit from trees, but possibly also through the ecosystem services provided within agroforest systems likely support availability of wild and cultivated vegetables by providing the microclimates needed for vegetables to grow and other ecosystem services. Many studies demonstrated the direct link between CAFS and in situ biodiversity conservation in humid forest zones (Sonwa et al., 2007; Jagoret et al., 2008; Dumont et al., 2014; Wartenberg et al., 2017). CAFS are rich and diversified in terms of forest tree species (Sonwa et al., 2007; Sonwa et al., 2014). They control key ecological functions such as carbon storage, water and air regulation, soil protection and fertility maintenance, micro-climate regulation and shading. From smart agriculture perspective, it is widely accepted nowadays that CAFS in general could serve as useful and pratical models to mitigate climate change issues in tropical zones, by reconciling productivity increase of lands, biodiversity conservation and use of forest biodiversity (Schroth et al., 2016). From food safety, nutritional and rural livelihood perspectives, the potential of agroforestry products to contribute to incomes, and value for domestic consumption is well-recognized (Cerda et al., 2014). Data on local flora of CAFS contribution in nutrition, human well-being and household incomes were published for different agroforestry products such as cocoa, timber, fruits, and other food crops (Akinnifesi et al., 2008; Cerda et al., 2014).
 
In Togo CAFS are found in the sub-humid zone of the country, and play key important socioeconomic and ecological roles (Adden, 2017). Despite their importance, only few studies assessed their typology, structure and floristic diversity. Most of existing studies did not consider tree diversity and species richness even if some of them recognized the conservation value provided by CAFS and qualified them as potential biodiversity conservation areas (Wembou et al., 2017; Sodjinou et al., 2019). Their assessment is often discussed in terms of productivity, yields and soil properties (Adden et al., 2016)and cocoa diseases (Oro et al., 2012)without qualitative and quantitative data on multi-species which shape CAFS multi-strata. Past studies in the sub-humid zone in Togo were focused on forest investigation (Akpagana, 1989; Adjossou, 2009; Issa, 2018)with less emphasis on CAFS. Up to now, research on biodiversity in agroforest systems are related to coffee based agroforest systems (Koudjega and Djiekpor, 1997; Koda et al., 2019).
 
Consequently, knowledge about CAFS relationships with biodiversity is still scarce compared to those in West Africa and other tropical cultivation zones. This gap causes a lack of information in the management of CAFS, which contrasts with their ecological and socio-economic potential.
 
To meet both productivity needs, pest and disease management, Koudjega and Tossah (2009) and Wegbe and Agbodzavu (2013) recommended to associate cocoa  trees with particular forest tree species such as Albizzia spp., Erythrophleum guineensis, Eleais guineensis, Citrus spp., Cola nitida, Khaya spp., Milicia excelsa, Samanea saman, Terminalia spp.,  in Togo. This introduction of trees species needs to be based on a good understanding of the current species composition and typology of CAFS. The objective of this study is to analyze the tree diversity within and among CAFS in Togo and to determine their structure and typology as related to sustainable management practices.

 


 MATERIALS AND METHODS

Study area
 
This study was carried out in the sub-humid and mountainous zone in Togo, located at the south-western part of the country and bordering Ghana. It extends between 6°57 and 7°35 latitude North and 0°30 and 1°08 longitude East (Figure 1). This zone belongs to ecological zone IV (Ern, 1979) and is characterized by a transitional subequatorial climate. However, this type of climate is more Sudanian in the north of the study area because of harmattan and Foehn effect. It is the wettest area of the country, with mean annual rainfall comprising between 1,250 and 1,500 mm and temperatures varying between 22.5 and 26°C. The long rainy season period is about eight (8) months and extends from March to October.
 
Geologically, the study area is part of the Atakorian mountains and the main structural unit is composed of epimetamorphic rocks. The dominant soils are ferruginous tropical soils, ferrallitic soils and hydromorphic soils, according to the French classification system (CPCS, 1967). The vegetation is dominated by a mosaic of relics of dense forests, savannahs, fallows and agroforests (Adjossou, 2004). Cocoa and coffee agroforests mainly dominate these agroforests. Riparian forests and remnant semi-deciduous forests of the study area are still the biodiversity hot-spot in Togo (Kokou et al., 2008;  Issa, 2018 ; Sodjinou et al., 2019).
 
Agriculture is the main activities in the area due to soil fertility and moist climate conditions. This favours cash crops, food crops, fruit plantation and gardening (Adden, 2017; Koglo et al., 2018). However, the area is facing agronomic and environmental issues, which are soil degradation and crop yield decrease (Koglo et al., 2018). Illegal wood logging of forest trees species (Milicia excelsa, Khaya grandifoliola, Terminalia superba, Triplochiton scleroxylon, Antiaris toxicaria, etc.), and charcoal production are some factors of forest lands degradation (Kedjeyi et al., 2013). The area is part of the Region Plateaux (the highest producer of cash crops such as coffee, cocoa, cotton as well as vegetables), which is also one of the regions where there is intensive use of chemical pesticides for agricultural production enhancement in Togo (Kolani et al., 2017).
 
Data collection
 
Vegetation data such as names of woody plant species, trees height and diameter were collected across eight (8) Prefectures in 62 villages; approximately three representative cocoa agroforests are selected randomly in each village. 213 random plots across the study area were sampled using a variable area method (25 × 25 m2, 50 × 50 m2, 100 × 100 m2). The variable sampling method was used as basis of woody species inventory in CAFS in Côte d’Ivoire (Vroh et al., 2015). According to the author, this method has the advantage of analyzing results independently to the sampling size. 
Accordindg to DSID (2019), in the sub-humid zone of Togo, the size of CAFS varies from 0.125 ha to 5.5 ha. For the current study, in CAFS with size less than 1 ha we surveyed 39 plots  of  25 × 25 m2; while 41 plots of 50 × 50 m2 were sampled in CAFS with 1 to 2 ha size. In CAFS with size higher than 2 ha, 134 plots of 100 × 100 m2 were sampled. The total surveyed area was 157.81 ha. For practical purposes, when the  farm’s size exceeded 2 ha, the sample area was divided into elementary plots of 25 × 25 m2, which were randomly located in the agroforests, according to Sonwa et al. (2014) and Vroh et al. (2015).
 
 
In each elementary plot, trees (excluding cocoa trees and including exotic fruit trees) with a diameter at breast height (dbh) ≥ 10 cm were recorded. Cocoa trees were also measured for their dendrometric characteristics assessment and their basal area calculation by considering a dbh ≥ 5 cm within sub-plots of 10 m × 10 m (100 m²) inside 25 × 25 m2 plots. Such a sub-plot size is adopted to take advantage of different ages of cocoa trees as focus species of this study. 
 
The total height of recorded trees was estimated with a clinometer while the diameter was recorded using a diameter measuring tape.  The nomenclature for plant species identification was based on Brunel et al. (1984)’s Flora of  Togo, and Akoègninou et al. (2006)’s Flora of Benin, and in the same way by comparing collected samples with  some specimens at the National Herbarium (University of Lomé). Only woody trees were recorded during inventories. The prospected sites were geolocated by a GPS Garmin 64S. 
 
Data analysis
 
Plant species richness, occurrence, and α-diversity
 
The plant species list recorded in the CAFS was compiled and stored in the Comma delimited (CSV) format. Plant species richness (S), occurrence, frequencies (Fr) according to Mori et al. (1983), number of species per family and specific abundance were analysed through pivot table “plant species” versus “plot” in Excel®. 
 
The α-diversity was evaluated by computing the Shannon-Wiener index (Ish), the Pielou’s evenness (Eq) and the species pool (S) (Hill, 1973 ; Kent and Coker, 1992 ; Magurran, 2004). Frequent and rare plant species in CAFS were determined by computing the Rarity Index (Ra) (Géhu and Géhu, 1980). Following Adomou (2005), species were considered rare when the Ra is lower than 80% and frequent when the Ra is higher than 80%.
 
Biological forms, life forms and phytogeographic spectra
 
The plant species were classified into their life forms and chorological affinities according to White (1983). The biological and phytogeographical spectra were computed. Table 1 summarizes formulas used for the α-diversity calculation.
 
Structural parameters
 
The main structural parameters considered are density (D) and basal area (Gi). The importance value index (IVI) for each tree species was then calculated  according to Curtis and Mcintosh (1950). Table 2 summarizes formulas use for structural parameters calculation. Horizontal and vertical distributions were obtained by grouping individuals into height and diameter class sizes by considering a pitch of 2 m and 5 cm, respectively, using  Minitab (2000) and Excel. The distributions were adjusted with the Weibull theoretical function because of its relevance in structural parameter prognosis (Miguel et al., 2010). The 3-parameter Weibull theoretical density function was computed as follows:
 
 
 


 RESULTS

Richness, floristic diversity and species frequency of CAFS
 
In  total,  4766  non-cocoa  trees   were   recorded   within 157.81 ha of CAFS. They belonged to 195 plant species, 140 genera, and 47 families. The ten most represented plant families, all together, recorded 56.85% of trees with an average of 12 plant species.  These plant families were Moraceae (23 plant species), Mimosoideae (18 plant species), Caesalpinioideae (13 plant species), Euphorbiaceae (13 plant species), Sterculiaceae (12 plant species), Meliaceae (10 plant species), Papilionoideae (10 plant species),  Annonaceae  (7  plant species), and Anacardiaceae (6 plant species) (Figure 2).
 
The most represented plant species were Milicia excelsa (43.66 %), Persea americana (43.35 %), Cola nitida (42.25 %), Terminalia superba (37.08 %), Cola gigantea (33.33 %), and Ficus mucuso (30.51%) (Figure 3). The Important Value Index (IVI) revealed that Persea americana (284.93%) Milicia excelsa (281.31%), Terminalia superba (233.25%), Bombax costatum (215.72%),   Ficus    mucuso     (208.08%),   Cola    nitida (181.66%), Ceiba pentandra (180.04%), Cola gigantea (167.12%), Alstonia boonei (151.65%), Albizia zygia (124.09%) and A. toxicaria (119.99%) were the 10 most important woody species of CAFS. The Shannon-Wiener index and the Pielou eveneness index were respectively 6.41 bits and 0.84 for the whole CAFS. The estimated average tree density was 159.21 ± 97.58 trees/ha, whereas the basal area was 14.26 m²/ha. Tables 3 and 4 provide the summary of frequent woody species and the structural caracteristic of the CAFS identified in this study.
 
 
 
Typology and characteristics of CAFS
 
Based on the hierarchical Clustering Analysis and applying agglomerative method of Ward, the 213 sampling plots were discrinminated into six groups of plots at the threshold of 3.0 Whitaker distances. The categorization of each group was also based on the Importance Value Index (IVI) and the physionomic structure of the CAFS (Figure 3).
 
CAFS with M. excelsa and P. americana (G1)
 
This group is composed of 33 plots. The CAFS  is  mainly shaped by M. excelsa (IVI = 52.59%) and P. americana (IVI = 50.03%) as important species. The species richness was 89 plant species. The Shannon-Wiener index and Pielou’s evenness index were 5.69 and 0.87, respectively. The density of associated species was 253.62 trees/ha, whereas the basal area was 52.60 m²/ha. This group is characterized by the dominance of Guineo-Congolian (57.30 %), Afro-Tropical (12.35 %) and Exotic (12.35 %) plant species. The most represented life forms were Microphanerophytes (51.68 %) and Mesophanerophytes (26.96%) (Figure 4).
 
CAFS with F. mucuso and Ceiba pentandra (G2)
 
The total number of plots of this group is 49. The type of CAFS is dominated by F. mucuso (IVI = 139.71 %) and Ceiba pentandra (IVI =83.60 %). In terms of diversity, the species richness of this CAFS type is 75 plant species; and the Shannon-Wiener index and Pielou’s evenness were 5.31 and 0.85 bits, respectively. The computed structural parameters showed 226 trees/ha as tree density, and the basal area was 32.45 m²/ha. Considering phytogeographical affinities, the Guineo-Congolian species (52 %) were the most frequent. Microphanerophytes and mesophanerophytes were represented by 45.33 and 37.33 %, respectively (Figure 5).
 
 
CAFS with C. nitida and A. adianthifolia (G3)
 
This group is composed of 22 plots. CAFS were shaped by C. nitida (IVI = 90.90 %) and A. adianthifolia (IVI = 40.90 %). The species richness was 56 plant species.  Shannon-Wiener index and Pielou’s evenness were 5.33 and 0.91 bits, respectively. The tree density was estimated at 53.48 trees/ha; whereas the basal area was evaluated to 6.48 m²/ha. Guineo-Congolian species were the most represented (37.5%). Microphanerophytes (51.78 %) were the predominant life forms (Figure 4).
 
CAFS with Albizia spp. and M. excelsa (G4)
 
This CAFS type is composed of 46 plots. The group is characterized by Albizia spp. (IVI = 62.42%) and M. excelsa (IVI = 50.48 %) as important plant species. 110 plant species were recorded.  Shannon-Wiener index and Pielou’s evenness were 6.06 and 0.89 bits, respectively. The density was 285.75 trees/ha and a basal area of 6.21 m²/ha. The Guineo-Congolian (GC) and Sudano-Zambezian  (SZ) were the most represented with 45.45 and  12.72%  of  the individuals. Microphanerophytes  (50 %) followed by mesophanerophytes (31.81 %) were the most represented life forms (Figure 4).
 
CAFS with P. americana and T. superba (G5)
 
This CAFS type is composed of 43 plots. The group is characterized by P. americana (IVI = 79.88 %) and T. superba (IVI = 79.11 %) as important plant species. The highest plant richness was recorded in this group and was 122 plant species. The Shannon-Wiener index and Pielou’s evenness were 6.44 and 0.93 bits, respectively. The density was 58 trees/ha and the basal area was 24.12 m²/ha. Considering phytogeographical affinities, Guineo-Congolian (GC) and exotics (I) were the most represented. Their values are 33.60 and 21.31%, respectively. Microphanerophytes (57.37 %) followed by mesophanerophytes (24.59%) were the most represented life forms (Figure 4).
 
CAFS with C. pentandra and M. excelsa (G6)
 
This   cluster   is  the  smallest  with  18  plots.  The  most  important plant species encountered were C. pentandra (IVI = 157.49%) and M. excelsa (IVI = 86.45 %). 110 plant species were recorded. The Shannon-Wiener index and Pielou’s evenness were 4.36 and 0.87 bits, respectively. The density was 79.53 trees/ha and a basal area of 11.67 m²/ha. The Guineo-Congolian (GC) and Sudano-Zambezian (SZ) were the most represented with 45.45 and 12.72% of the individuals. Microphynerophytes (50%) followed by mesophanerophytes (31.81 %) are the most represented  life forms (Figure  4).  The  Importance Value Indices and the descriptive characteristics of each sub-sytem are summarized, respectively, in Tables 5 and 6.
 
 
Structures of CAFS
 
Diameter class distribution
 
The  distribution  of  CAFS  trees  by  diameter  class-size follows an "L"-shaped or "bell"-shaped curve (Figure 5). The "L"-shaped distribution is mainly observed in G1 and G2; and is characterized by high density of trees of small diameter size (5 to 20 cm). The predominance of medium diameter size trees, between 20 to 50 cm diameter, was observed in the CAFS with large tree species such as Albizia spp., Ficus mucuso, M. excelsa and A. toxicaria. Large tree dimater size (up to 50 cm) is less represented (e.g., Adansonia digitata, C. pentandra, Cola gigantean, etc.). The calculated mean diameters of each of the six groups are in the following order: 42.36 ± 17.21 cm, 39.54 ± 23.45 cm, 31.54 ± 21.07 cm, 29.66 ± 11.54 cm, 28.32 ± 12.38 cm and 43.55 ± 19.23 cm.
 
Height class distribution
 
The distribution of CAFS trees by height class-size follow an "L"-shaped or "bell"-shaped curve (Figure 6). This structure reflected the dominance of trees with small (less than 6 m) and medium height (6 to 12 m). The smal heights are manly found in CAFS type 1 and 2. The height class from 6 to 12 m is the most represented from G2 to G6. In general, heights greater than 20 m are less represented except in the CAFS dominated by C. nitida and A. adianthifolia (G3 and G6). In each of the six CAFS types the mean height is in order 9.67 ± 2.22 m, 17.78 ± 7.53, 18.63 ± 5.04, 17.11 ± 6.21, 14.13 ± 6.24 and 16.29 ± 5.69 m.
 


 DISCUSSION

Floristic composition and species frequency
 
In this study conducted in the sub-humid zone of Togo, 195 plant species were recorded as non-cocoa trees in CAFS. Issa (2018), in their findings on distribution sites of Khaya spp. (Meliaceae), reported 117 plant species in 12 plots in cocoa and coffee agroforests of the sub-humid zone. Compared to coffee-based agroforestry systems, that were first inventoried by Koda et al. (2016  there were only 19 woody species. These authors emphasized that CAFS are dominated by P. americana and Citrus spp. However an updated inventory from Koda et al. (2019) showed 138 woody species from coffee plantations in the whole study area.
 
In this study, the Shannon-Weiner index calculated was 4.36 and 6.44 bits, showing that CAFS were diversified in terms of woody species. These findings are similar to those of West Africa agroforests (Osei-Bonsu et al., 2003; Wade et al., 2010; Sonwa et al.,  2014).  For instance, the Shannon-Weiner index reported from cocoa agroforests in Ghana varied between 4.69 and 4.76 bits (Anglaaere et al., 2011). In the semi-deciduous forest zone of centre Côte d’Ivoire, the diversity was low.
 
The Shannon-Wiener index varied between 1.5 and 4.2 bits and the plant specific richness ranged from 56  to 97 plant species (Vroh et al., 2015). The number of species in this study is comparable to the reference values found in Nigeria. Bobo et al. (2006) and Zapfack et al. (2002) located the specific richness between 116 and 206 woody species. Osei-Bonsu et al. (2003) and Anglaaere et al. (2011) inventoried less woody species in sub-humid zone of Ghana comparable to our study. Their values were 116 and 82 woody species, respectively. 
 
Togolese cocoa agroforests were characterized by the predominance of Moraceae, Mimosoideae and Caesalpinioideae. This is consistent with that of Vroh et al. (2015) in cocoa agroforests in Côte d’Ivoire. There was also a great similarity between species composition. Some species such as P. americana, C. nitida. Irvingia gabonensis, Margaritaria discoidea, Spondias monbin etc. were well represented in cocoa agroforests in Togo as well as in Ghana (Anglaaere et al., 2011).
 
Typology of cocoa-based agroforestry systems
 
Six types of CAFS were discriminated based on importance value indices, species richness, and structural parameters of species. However, some other ecological parameters such as temperature,, hygrometry, topology, soils etc., were under the control of this typology (Bongers et al., 2004). The drying-out from south to the north on sub-humid forest in the zone might also have  had an influence (Akpagana, 1989) on the species composition, and the density of the defined groups. To avoid such drying-out on cocoa productivity, farmers maintained in their CAFS some native trees or introduced new exotic or native trees. CAFS with M. excelsa and P. americana (G1) and CAFS with C. nitida and A. adianthifolia (G3) were mainly shaped by multipurpose trees. Specialy, P. americana, C. nitida and other fruits trees found in the CAFS were not only present as shading species, but also for commercial purpose and for economic benefits. It is widely accepted that trees in CAFS had important value for farmers and were used as medicinal, nutritional plants, or as a source of indirect cash from the agroforests (Akinnifesi et al., 2008; Koda et al., 2016). This added value of plant species may also explain the predominance of exotic plant species in some discriminated CAFS. Our findings were similar to those obtained by Vroh et al. (2015). These authors also remarked about this co-dominance of exotic and plant species in old agroforests in Côte d’Ivoire. Besides fruits species, some CAFS, such as sub-systems with P. americana and T. superba (G5) were mainly characterized by timber-tree species. 
 
Indeed, some species such as T. superba and Khaya spp. were recommended to be included in some density rate by agroforestry technical services during their training, awareness and sensitization. Some tree species were completely avoided due to the fact that they were hosts of diseases or infection vectors (Oro et al., 2012). At the same time, some species such as C. gigantea were avoided in some CAFS, because they could be shelter for rodents that are a serious threat to cocoa production. 
 
Structure of CAFS
 
The density of non-cocoa trees in CAFS is relatively low and the distribution of diameter class-size revealed the predominance of individuals with small diameters. This might be explained by the fact that trees are removed progressivelly for use (house-construction, fuelwood, timber, etc.), to regulate shadow for cocoa trees or avoid windthrow that can damage cocoa trees. One of the consequences of illegal logging in CAFS could be drought severity leading to high death rate of young cocoa trees, especilay during the dry season. Sonwa et al. (2014), in this persective, demonstrated that human interventions such as frequent use of fire, intensive use of fertilizers and pesticides, and lack of tree cover are expected to cause negative effects on cocoa farms. According to famers, to prevent low cocoa productivitiy, or to avoid pest and diseases in cocoa trees, some species such C. gigantea, C. pentadra, M. excelsa, Cola nitida, etc. are removed from CAFS. These practices may explain the low density and the rarety of some woody species in some groups. 
 


 CONCLUSION

The species richness in cocoa agroforest systems in Togo was 195 plant species. Based on the Importance Value Index (IVI), six types of CAFS were identified. They were sub-sytems (from G1 to G6) shaped, respectively, by M. excelsa and P. americana trees (G1), F. mucuso and C. pentandra (G2), C. nitida and A. adianthifolia (G3), Albizia spp. and M. excelsa (G4), P. americana and Terminalia superba (G5), and C. pentandra and M. excels (G6). Tree species richness and diversity were high in the CAFS associated with P. americana and Terminalia superba (G5) (species richness = 122, Shannon-Wiener index = 6.44 bits); but much lower than in any other CAFS for the case of CAFS associated with C. pentandra and M. excelsa (G6) (Species richness = 32, Shannon-Wiener index = 4.36 bits). The highest (52.60 m2/ha) and lowest (11.67 m2/ha) basal areas were recorded, respectively, in CAFS dominated by M. excelsa and P. americana (G1) and CAFS associated with C. pentandra and M. excelsa (G6). These findings, and those  of  other published  work  referenced here provide useful information that could contribute to improved CAFS’s management.


 CONFLICT OF INTERESTS

The authors have not declared any conflict of interests.

 



 REFERENCES

Adden AK (2017). Amélioration de la productivité des vergers de cacaoyers (Theobroma cacao Linn.) pour une gestion forestière durable au Togo. These de Doctorat. Universite de Lome. 138p.

 

Adden AK, Mawussi G, Batocfetou RM, Koudjega T, Sanda K, Kokou K (2016). Effects of soil substrate quantity and sowing method on cocoa (Theobroma cacao L.) seedlings growth in Togo. African Journal of Plant Science 10(1):32-38.
Crossref

 
 

Adjossou K (2004). Diversité floristique des forêts riveraines de la zone écologique IV du Togo. Mémoire de DEA Biologie de développement option biologie végétale appliquée. Université de Lomé. 75p.

 
 

Adjossou K (2009). Diversité, structure et dynamique de la végétation dans les fragments de forêts humides du Togo: les enjeux pour la conservation de la biodiversité. Thèse de Doctorat. Université de Lomé. 190 p.

 
 

Adomou A (2005). Vegetation patterns and environmental gradients in Benin: implications for biogeography and conservation. PhD Thesis. Wageningen University. 135p.

 
 

Akinnifesi FK, Sileshi G, Ajayi OC, Chirwa PW, Kwesiga FR, Harawa R (2008). Contributions of agroforestry research and development to livelihood of smallholder farmers in Southern Africa: Fruit, medicinal, fuelwood and fodder tree systems. Agricultural Journal 3(1): 76-88.

 
 

Akoègninou A, Van der Burg W, Van der Maesen L (2006). Flore analytique du Bénin. Cotonou and Wageningen. Wageningen University Paper 06.2. 1034 p.

 
 

Akpagana K (1989). Les forêts denses humides du Togo. Thèse de Doctorat de l'Université de Bordeaux III en France. 181 p.

 
 

Anglaaere LCN, Sinclair FL, Cobbina J, McDonald MA (2011). The effect of land use systems on tree diversity: farmer preference and species composition of cocoa-based agroecosystems in Ghana. Agroforestry System 81:249-265.
Crossref

 
 

Bobo KS, Waltert M, Sainge NM, Njokagbor J, Fermon H, Mühlenberg M (2006). From forest to farmland: species richness patterns of trees and understorey plants along a gradient of forest conversion in Southwestern Cameroon. Biodiversity and Conservation 15(13):4097-4117.
Crossref

 
 

Brunel JF, Hiepko P, Scholz H (1984). Flore analytique du Togo: phanérogames. RFA. Edition Berlin et Eschborn. pp. 3-751.
Crossref

 
 

Cerda R, Deheuvels O, Calvache D, Niehaus L, Saenz Y, Kent J, Vilchez S, Villota A, Martinez C, Somarriba EJA (2014). Contribution of cocoa agroforestry systems to family income and domestic consumption: looking toward intensification. Agroforestry Systems 88(6):957-981.
Crossref

 
 

Chase MW, Christenhusz M, Fay M, Byng J, Judd WS, Soltis D, Mabberley D, Sennikov A, Soltis P S, Stevens PF (2016). An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Botanical Journal of the Linnean Society 181(1):1-20.
Crossref

 
 

Correia M, Diabaté M, Béavogui P, Guilavogui K, Lamanda N, De Foresta H (2009). Analyse comparative de structure et de la composition entre agroforêt à café et forêt naturelle en Guinée Forestière (Guinée, Afrique de l'Ouest). Atelier de réflexion «Les agroforêts d'Afrique de l'Ouest et du Centre : dynamiques, performances et avenir ?» Sérédou (Guinée). 16p.

 
 

de Foresta H, Michon G, Kusworo A (2000). Complex agroforests. Permanent Agriculture Research, 23-29p.

 
 

Dumont ES, Gnahoua GM, Ohouo L, Sinclair FL, Vaast P (2014). Farmers in Côte d'Ivoire value integrating tree diversity in cocoa for the provision of ecosystem services. Agroforestry Systems 88(6):1047-1066.
Crossref

 
 

Ern H (1979). Die Vegetation Togos. Gliederung, Gefährdung, Erhaltung. Willdenowia. pp. 295-312.

 
 

Géhu J, Géhu J (1980). Essai d'objection de l'évaluation biologique des milieux naturels. Exemples littoraux. Séminaire de Phytosociologie Appliquée. Amicale Francophone de Phytosociologie, Metz. 75-94.

 
 

Issa I (2018). Distribution, structure et exploitation des espèces du genre Khaya a. juss. (Meliaceae) sur la chaîne de l'Atakora au Togo. Thèse de doctorat de l'Université de Lomé. 161 p.

 
 

Jagoret P, Bouambi E, Menimo T, Domkam I, Batomen F (2008). Analysis of the diversity of cocoa cropping systems: case of the Central Cameroon. Biotechnologie Agronomie Société et Environnement 12(4):367-377.

 
 

Jagoret P, Kwesseu J, Messie C, Michel-Dounias I, Malézieux E (2014). Farmers' assessment of the use value of agrobiodiversity in complex cocoa agroforestry systems in central Cameroon. Agroforestry Systems 88(6):983-1000.
Crossref

 
 

Kedjeyi BM, Bellefontaine R, Kossi A, Kouami K (2013). Etude de la régénération naturelle du Symphonia globulifera des forêts humides togolaises au Togo. Journal of Agriculture and Environment for International Development 107(2):149-162.

 
 

Koda DK, Adjossou K, Djego JG, Guelly KA (2016). Diversité et usages des espèces fruitières des systèmes agroforestiers à caféiers du Plateau-Akposso au Togo. Afrique Science 12(4):113-119.

 
 

Koda DK, Chérif M, Adjossou K, Amégnaglo KB, Diwediga B, Agbodan KML, Guelly KA (2019). Typology of coffee-based agroforestry systems in the semi-deciduous forest zone of Togo (West Africa). International Journal of Biodiversity and Conservation 11(7):199-211.
Crossref

 
 

Koglo YS, Agyare WA, Diwediga B, Sogbedji JM, Adden AK, Gaiser (2018). Remote Sensing-Based and Participatory Analysis of Forests, Agricultural Land Dynamics, and Potential Land Conservation Measures in Kloto District (Togo, West Africa). Soil System 2:49.
Crossref

 
 

Kokou K, Adjossou K, Kokutse AD (2008). Considering sacred and riverside forests in criteria and indicators of forest management in low wood producing countries: The case of Togo. Ecological Indicators 8(2):158-169.
Crossref

 
 

Kolani L, Mawussi G, Devault DA, Sanda K (2017). Organochlorine Pesticide Residues in Agricultural Soils from Région Des Plateaux in Togo. Revista Internacional de Contaminación Ambiental 33:33-42.
Crossref

 
 

Koudjega T, Tossah B (2009). Improvement of soils fertility management in cocoa plantations in Togo. Proceeding of the 7th International Symposium on Plant-Soil Interactions at Low pH, 17th-21st May. 184-185.

 
 

Koudjega T, Djiekpor E (1997). Influence d'Albizzia spp. sur la production de Coffea canephora var. Robusta au Togo. Colloque Scientifique International sur le Café, 17. Nairobi (Kenya), Juillet 20-25.

 
 

Legendre P, Borcard D, Peres-Neto PR (2005). Analyzing beta diversity: partitioning the spatial variation of community composition data. Ecological monographs 75(4):435-450.
Crossref

 
 

Miguel EP, do Amaral Machado S, Figueiredo Filho A, Arce JE (2010). Using the Weibull function for prognosis of yield by diameter class in Eucalyptus urophylla stands. Cerne 16(1):094-104.
Crossref

 
 

Minitab I (2000). MINITAB statistical software. Minitab Release 13.
Crossref

 
 

Mori SA, Boom BM, de Carvalho AM, dos Santos TS (1983). Southern Bahian moist forests. The Botanical Review 49(2): 155-232.
Crossref

 
 

Oro F, Mississo E, Okassa M, Guilhaumon C, Fenouillet C, Cilas C, Muller E (2012). Geographical differentiation of the molecular diversity of cacao swollen shoot virus in Togo. Archives of Virology 157(3): 509-514.
Crossref

 
 

Osei-Bonsu K, Ameyaw Oduro C, Tetteh J (2003). Traditional cocoa agroforestry: species encountered in the cocoa ecosystems a typical cocoa growing in Ghana. Proceeding in International Cocoa Research Conference Lagos (Nigeria).

 
 

Pisces Conservation, LTD (2002). Community Analysis Package (CAP), a program to search for structure in ecological community data, version 2.0. Pennington, England, IRC House.

 
 

Schroth G, Jeusset A, da Silva Gomes A, Florence CT, Coelho NAP, Faria D, Läderach P (2016). Climate friendliness of cocoa agroforests is compatible with productivity increase. Mitigation and adaptation strategies for global change 21(1):67-80.
Crossref

 
 

Sodjinou K, Radji R, Adjonou K, Quashie M, Adjossou K. Abotsi K (2019). Ecological Characterization of Epiphytes Orchids in the (Meridional Zone of Mount Togo. Journal of Horticulture 6(252):2376-0354.1000252.

 
 

Sonwa DJ, Nkongmeneck BA, Weise SF, Tchatat M, Adesina AA, Janssens MJ (2007). Diversity of plants in cocoa agroforests in the humid forest zone of Southern Cameroon. Biodiversity and Conservation 16(8): 2385-2400.
Crossref

 
 

Sonwa DJ, Weise SF, Schroth G, Janssens MJ, Shapiro HY (2014). Plant diversity management in cocoa agroforestry systems in West and Central Africa: effects of markets and household needs. Agroforestry Systems 88(6):1021-1034.
Crossref

 
 

Ter B, Cajo JF, Smilauer P (2002). CANOCO reference manual and CanoDraw for Windows user's guide: software for canonical community ordination (version 4.5): 

View

 
 

Vroh BTA, Cissé A, Constant YAY, Kouamé D, Kouao JK, Kouassi BK, Béné JCK (2015). Relations entre la diversité et la biomasse aérienne des espèces arborescentes dans les agroforêts traditionnelles à base de cacaoyers: Cas de la localité de Lakota (Côte d'Ivoire). African Crop Science Journal 23(4):311-326.
Crossref

 
 

Wade AS, Asase A, Hadley P, Mason J, Ofori-Frimpong K, Preece D, Spring N, Norris K (2010). Management strategies for maximizing carbon storage and tree species diversity in cocoa-growing landscapes. Agriculture, Ecosystems and Environment 138(3-4): 324-334.
Crossref

 
 

Wartenberg AC, Blaser WJ, Gattinger A, Roshetko JM, Noordwijk MV, Six J (2017). Does shade tree diversity increase soil fertility in cocoa plantations? Agriculture, Ecosystems and Environment 248:190-199.
Crossref

 
 

Wegbe K, Agbodzavu KM (2013). Insectes ravageurs et maladies majeurs en cacaoculture au Togo. Pest and Pathogens Africa. Accra, Ghana.

 
 

Wembou E, Dourma M, Wala K, Woegan Y, Gbogbo A, Batawila K, Dansi A, Tozo K, Akpagana K (2017). Agrodiversite, gestion paysanne et importance de Dioscorea praehensilis Benth. Dans la zone subhumide du Togo. African Journal of Food, Agriculture, Nutrition and Development 17(3):12455-12475.
Crossref

 
 

Zapfack L, Engwald S, Sonke B, Achoundong G, Madong BA (2002). The impact of land conversion on plant biodiversity in the forest zone of Cameroon. Biodiversity and Conservation 11(11):2047-2061.
Crossref

 
 

Zomer RJ, Trabucco A, Coe R, Place F (2009). Trees on farm: analysis of global extent and geographical patterns of agroforestry. ICRAF Working Paper. World Agroforestry Centre 89.
Crossref

 

 




          */?>