Farmer Management of Cocoa and Coffee Agroforestry Systems: Assessing the Contribution of Woody Species to Farmers' Income in the Centre Region and the Noun Division (Cameroon)

University of Dschang

MRes, Faculty of Agronomy and Agricultural Sciences, Department of Forestry, University of Dschang, Cameroon

MRes

Jules Trevor Makalla Kengni

MRes, Faculty of Agronomy and Agricultural Sciences, Department of Forestry, University of Dschang, Cameroon

Project summary

Trevor holds a Master II in Rural Economics and Sociology, Faculty of Agronomy and Agricultural Sciences (FASA), Bafia, Cameroon. He has successfully completed his MRes in the FASA, Department of Forestry, at the University of Dschang, Cameroon. Trevor’s project is entitled Farmer Management of Cocoa and Coffee Agroforestry Systems: Assessing the Contribution of Woody Species to Farmers’ Income in the Centre Region and the Noun Division (Cameroon).

In Cameroon, cocoa and coffee are major cash crops, historically accounting for approximately 28% of non-oil exports and 40% of exports from the primary sector. The coffee crisis of the 1980s and 1990s profoundly reshaped production systems: farmers adopted diversification strategies by integrating cocoa trees, oil palms, and fruit tree species into their farms, leading to the emergence of complex agroforestry systems (Azaou et al., 2020; Ngomeni et al., 2023). In the Noun Division of western Cameroon, the cradle of Robusta coffee cultivation, and in the Lekié Division of central Cameroon, the country’s main cocoa-growing area, this diversification has resulted in multicrop agroforestry systems combining coffee trees, cocoa trees, and a variety of woody species (Ndonmou et al., 2023). In this context, agroforestry represents a natural resource management system that, through the integration of trees into agricultural holdings, helps diversify and sustain production while enhancing the resilience of rural landscapes and livelihoods (Harmand & Seghieri, 2019).

Despite this favourable context for the promotion of agroforestry systems and the forthcoming implementation of the European Union Deforestation Regulation (EUDR), several scientific gaps remain. Previous studies have documented the floristic diversity of cocoa agroforests in certain areas of central and eastern Cameroon (Sonwa, 2007; Temgoua et al., 2018; Tane et al., 2023). Although some research has also examined the floristic composition of cocoa and coffee agroforests in western Cameroon (Noun) and central Cameroon (Lekié), much remains to be done to achieve a comprehensive characterisation of these systems. Furthermore, farmers’ management practices, species selection mechanisms, uses of woody species, and producers’ decision-making processes remain poorly documented in these regions. Finally, the actual economic contribution of associated woody species to household agricultural income remains largely underestimated.

The main research question addressed by this study is: How are cocoa- and coffee-based agroforestry systems managed by farmers, and what income do they derive from the woody species associated with these main cash crops?

From this central question arise the following secondary questions:

  • What is the floristic composition of cocoa- and coffee-based agroforestry systems in the Noun and Lekié regions?
  • What management practices are employed in cocoa- and coffee-based agroforestry systems?
  • What are the use values of woody species, and how do they contribute to farmers’ incomes?
  • What factors influence the economic performance of cocoa- and coffee-based agroforestry systems?

The methodological approach consisted of analysing the floristic composition and management practices of cocoa and coffee agroforestry systems, conducting an economic assessment of the contribution of woody species to farmers’ incomes, and identifying the factors influencing this contribution. To address these questions, the study employed Nerlove’s perennial crop production function, cost-benefit analysis, and the multiple-use value assessment method.

Expected results

Regarding floristic composition, the results confirm the existence of two agroforestry systems characterised by fundamentally different management logics. The Lékié region exhibits a complex forest-like agroforestry system (36 species, H’ = 3.03), inherited from the natural dynamics of dense humid forests and passively enriched through natural regeneration. In contrast, the Noun region presents an intentionally established agroforestry system (18 species, H’ = 2.32), dominated by cultivated species with direct food and commercial uses.

With respect to management practices, this study revealed a diversity of agroforestry trajectories, characterised by a typology comprising three clusters: traditional extensive coffee farmers (Cluster 1, Noun), market-oriented semi-intensive cocoa producers (Cluster 2, Lékié), and specialised intensive coffee producers with high productivity but negative net profits (Cluster 3, Noun). This diversity of trajectories demonstrates that cocoa- and coffee-based agroforestry systems in Cameroon do not constitute a homogeneous model but rather reflect distinct adaptation strategies to local conditions.

Regarding use values and economic contribution, woody species perform multiple functions, as confirmed by data obtained using the pebble distribution method. These functions include household food supply, the commercialisation of non-timber forest products (NTFPs), shade regulation, soil fertility enhancement, and traditional medicine. The contribution of NTFPs to agricultural income is most significant in Cluster 1 (21.7%), where it serves as an income diversification strategy, and it acts as a genuine economic buffer in Cluster 3, compensating for approximately 75% of the current income deficit. These findings confirm the economic relevance of maintaining a diverse range of woody species within agroforestry systems.

Concerning the determinants of performance, the Probit analysis showed that membership in a farmers’ organisation or cooperative is the most significant determinant of economic performance (AME = +20.3%), ahead of agroforest size and market access. However, the relative importance of these determinants varies across clusters, highlighting the need for differentiated and context-specific interventions to improve farmers’ incomes. The negative effect of agricultural extension services on economic performance further supports the conclusion that standardised extension messages are often ill-suited to the complexity of agroforestry systems.

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START Date

1 November 2025

EXPECTED END Date

30 September 2026

CBSI OBSERVATORY

Vegetation, Soil and Biogeochemistry

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