Cocoa Agroforestry Systems Research Articles

Termite-tree-soil interactions in cocoa agroforestry systems: farmer perceptions of ecological dynamics, practices and challenges in three ecological zones of Ghana

Termite-tree-soil interactions in cocoa agroforestry systems: farmer perceptions of ecological dynamics, practices and challenges in three ecological zones of Ghana

Tree growth in West African cocoa agroforestry systems: high timber yields and superior performance of natural regeneration

Key messageCocoa agroforestry systems (AFS) in West Africa represent an underexplored yet promising source of timber. Within these systems, species can reach a 50-cm diameter as early as 14 years of age. Naturally regenerated trees grow 10% faster than planted ones and develop a 43% greater bole volume. These findings underscore the high timber potential of cocoa AFS and confirm natural regeneration as a superior strategy for tree renewal and wood production.ContextIn West Africa, where over 80% of original forests have been converted to agriculture, finding alternative timber sources is essential. Agroforestry, prevalent across the region, offers a potential solution.AimsThis study assesses the timber production potential of trees in cocoa agroforestry systems in Côte d’Ivoire.MethodsIn 150 cocoa agroforestry plots, we (i) modelled the diameter growth of forest tree species; (ii) developed specific allometric models for cocoa AFS; and (iii) evaluated the effect of tree origin (natural regeneration vs. plantation) on growth trajectories, allometry, and bole volume.ResultsTrees can reach a diameter of 50 cm as early as 14 years of age, and a bole height of up to 8.83 m at this diameter. Naturally regenerated trees grow 10% faster annually than planted trees, reaching their minimum logging diameter up to 10 years earlier, and have a 43% greater bole volume.ConclusionNatural regeneration is a more effective strategy than planting for tree renewal in cocoa AFS, providing faster growth, greater timber volumes, and significant potential for sustainable forestry management and meeting regional timber demands.

Macrofauna accelerates nutrient cycling through litterfall in cocoa agroforestry systems

Abstract This study aimed to better understand nitrogen (N), phosphorus (P), and potassium (K) cycling through litterfall in smallholder cocoa agroforestry systems and to assess if these nutrient flows can be measured using standard litterbags. Annual litter production, relative mass loss, and nutrient loss rates from cocoa leaf litter were evaluated in three farms in south-western Nigeria with and without macrofauna access. Litterfall was measured fortnightly close to the base of the cocoa tree and at the edge of the tree canopies from January 2020 to December 2021. Leaf litter decomposition rates were determined over 388 days in 2 mm mesh litterbags to exclude macrofauna and in frames open to the soil surface to allow macrofauna access. Concentrations of C, N, P, and K were measured in the remaining litter at 180, 244, 314, and 388 days after incubation. Annual estimates of litterfall (10.62 Mg DM ha−1) did not significantly differ between the traps close to and away from the cocoa tree trunk. Nutrient cycling from litter was estimated at approximately 101 kg N, 5 kg P, and 89 kg K ha−1 year−1. Relative litter decomposition rates (k) significantly differed between frames and litterbags. Macrofauna access significantly reduced the C:N ratio in the remaining litter and increased N and P loss from the litter layer by 28 and 69%, respectively. In conclusion, nutrient flows through litterfall are considerable, and N and P transfer rates to soil are likely underestimated in litterbag experiments that exclude macrofauna.

Mycorrhizal Interaction between Companion Trees and Cocoa Trees (Theobroma cacao L.) in Traditional Agroforestry Systems in Côte d’Ivoire

Aims: The effective use of companion trees in agroforestry systems could improve the health and productivity of cocoa trees by understanding the interactions they promote. This study aims to decipher the characteristics of arbuscular mycorrhizal communities in the roots and soil of cocoa trees and their companion trees to understand the interaction between these two types of trees. Methodology: Five mycorrhization parameters measured in cocoa trees and nearby companion trees were compared. These were, shared species diversity, number of spores, mycorrhization frequency, mycorrhization intensity and colonization intensity in the mycorrhized part of the root system. correlation tests between these parameters were also used to establish the link between the data. Results: The study identified 49 AMF species involved in the interactions between companion and cocoa trees. T. superba (64.28%) and B. mannii (62.5%) recorded the highest species diversity and spore numbers. The highest mycorrhization rates were found between T. ivorensis and cocoa. Statistical analysis revealed strong positive correlations for species diversity and spore numbers with specific companion trees. Based on the results, T. superba, B. mannii, and R. heudelotii are recommended for promoting mycorrhizal spore production, while T. ivorensis is suggested for high mycorrhization levels. Conclusion: The study of interactions thus disclosed strong links between all cocoa trees and companion trees on the basis of the 5 types of variables used to establish correlations. But, A. boonei, T. superba, T. ivorensis, T. heckelii, M excelsa, B. mannii, B. mannii and G. kola can be recommended in cocoa agroforestry systems as they have the most important mycorrhizal interactions with cocoa trees.

Effects of functional diversity on ecosystem services in cocoa agroforestry systems in Costa Rica

Cocoa agroforestry systems (AFS) provide multiple ecosystem services, which are influenced by features of the shade tree community. By strategically selecting and managing shade trees based on their functional traits, cocoa farmers can affect functional diversity of AFS and potentially enhance the benefits they deliver. In this research, we applied functional trait ecology to better understand the effect of functional diversity of cocoa AFS on three ecosystem services: carbon storage, soil fertility, and provisioning of cocoa and other products. To achieve this, we characterized 30 AFS across a gradient of ecological complexity and established relationships between functional diversityw indices and ecosystem services using ANOVA and multiple regression models. As a result, two contrasting ecological dynamics were observed: low-complexity AFS, dominated by resource-conservative traits (higher leaf dry matter content, higher stem specific density, and low leaf nitrogen concentration), were associated with lower carbon stocks and soil fertility, while high-complexity AFS, characterized by resource-acquisitive traits (low leaf dry matter content, low stem specific density, and high leaf nitrogen concentration), delivered greater ecosystem services. Through the multiple regression analysis, we found that AFS dominated by species with greater maximum potential height, greater leaf nitrogen concentration, lower leaf dry matter content, lower leaf mass per area, and lower leaf nitrogen-phosphorus ratio were associated with higher carbon storage (R2 = 0.84), soil fertility (R2 = 0.7 for soil nitrogen), and multiple ecosystem services (R2 = 0.78). Additionally, cocoa yields were negatively correlated with shade cover and the dominance of large-leaf shade trees, revealing a potential trade-off between maximizing yields and enhancing ecosystem services. Nevertheless, the models indicated that a win-win scenario can be achieved when shade trees are productive, generating additional benefits. Finally, our study highlights critical relationships between shade tree traits and delivery of key ecosystem services for farm sustainability and farmer livelihoods.

Tradeoffs among ecosystem services and microbiome impacts associated with two cover crops for cocoa in South Sulawesi, Indonesia

Cover crops could provide numerous benefits on cocoa farms, including promoting nutrient cycling, carbon sequestration, and active soil microbial communities. Despite growing interest in cover crops for cocoa, many knowledge gaps remain, particularly detailed species and management recommendations to maximize ecosystem services and optimize the soil microbiome in different geographies and production contexts. A field experiment was conducted in South Sulawesi, Indonesia to investigate the suitability of two potential cover crops, tropical kudzu (Pueraria javanica) and fodder sweet potato (Ipomoea batatas L. Lam), for cocoa agroforestry systems. Cover crops were terminated after 6 months due to leaf chlorosis and declining yields in 2-year-old cocoa trees, leading to an analysis of tradeoffs among supporting, regulating, and provisioning services and impacts on diversity and community composition of soil prokaryotes and fungi. Kudzu had a slight positive impact on N cycling, but both cover crops appeared to compete with cocoa for K, with lower yields in sweet potato plots. Among regulating services, cover crops tended to increase C sequestration but did not affect pest and disease incidence. Cover crop treatment accounted for a small but significant percentage of soil microbiome variation, likely driven by effects on soil pH and C, and altered the relative abundance of 155 microbial taxa. Functional-trait-based species selection and optimized management could help maximize the ecosystem services delivered by cover crops, including those mediated by the microbiome, and minimize negative impacts on cocoa productivity.

Functional groups of leaf phenology are key to build climate-resilience in cocoa agroforestry systems

Agroforestry has the potential to enhance climate change adaptation. While benefits from agroforestry systems consisting of cash crops and shade trees are usually attributed to the (shade) trees, the trees can also have negative impacts due to resource competition with crops. Our hypothesis is that leaf phenology and height of shade trees determine their seasonal effect on crops. We test this hypothesis by categorizing shade tree species into functional groups based on leaf phenology, shade tree canopy height and shade tree light (wet and dry season) interception as well as the effects. To this end, leaf phenology and the effects on microclimate (temperature, air humidity, intercepted photoactive radiation (PAR)), soil water, stomatal conductance and cocoa yield were monitored monthly during wet and dry seasons over a two-year period on smallholder cocoa plantations in the northern cocoa belt of Ghana. Seven leaf phenological groups were identified. In the wet season, highest buffering effect of microclimate was recorded under the trees brevi-deciduous before dry season. During dry season, high PAR and lowest reduction in soil moisture were observed under the trees in the group of completely deciduous during dry season. The evergreen groups also showed less reduction in soil water than the brevi-deciduous groups. In the wet season, shade tree effects on cocoa tree yields in their sub canopy compared to the respective control of outer canopy with full sun ranged from positive (+10 %) to negative (-15 %) for the deciduous groups, while yield reductions for the evergreen groups ranged from −20 % to −33 %. While there were negative yield impacts for all phenological groups in the dry season, the trees in completely deciduous during dry season group recorded least penalties (-12 %) and the trees with evergreen upper canopy the highest (-35 %). The function of shade trees in enhancing climate resilience is therefore strongly dependent on their leaf phenological characteristics. Our study demonstrates how the key trait leaf phenology can be applied to successful design of climate-resilient agroforestry systems.

Impact of Agroforestry Practices on Soil Microbial Diversity and Nutrient Cycling in Atlantic Rainforest Cocoa Systems.

Microorganisms are critical indicators of soil quality due to their essential role in maintaining ecosystem services. However, anthropogenic activities can disrupt the vital metabolic functions of these microorganisms. Considering that soil biology is often underestimated and traditional assessment methods do not capture its complexity, molecular methods can be used to assess soil health more effectively. This study aimed to identify the changes in soil microbial diversity and activity under different cocoa agroforestry systems, specially focusing on taxa and functions associated to carbon and nitrogen cycling. Soils from three different cocoa agroforestry systems, including a newly established agroforestry with green fertilization (GF), rubber (Hevea brasiliensis)-cocoa intercropping (RC), and cocoa plantations under Cabruca (cultivated under the shave of native forest) (CAB) were analyzed and compared using metagenomic and metaproteomic approaches. Samples from surrounding native forest and pasture were used in the comparison, representing natural and anthropomorphic ecosystems. Metagenomic analysis revealed a significant increase in Proteobacteria and Basidiomycota and the genes associated with dissimilatory nitrate reduction in the RC and CAB areas. The green fertilization area showed increased nitrogen cycling activity, demonstrating the success of the practice. In addition, metaproteomic analyses detected enzymes such as dehydrogenases in RC and native forest soils, indicating higher metabolic activity in these soils. These findings underscore the importance of soil management strategies to enhance soil productivity, diversity, and overall soil health. Molecular tools are useful to demonstrate how changes in agricultural practices directly influence the microbial community, affecting soil health.

Evaluating Carbon Sequestration and Biodiversity in Cocoa Agroforestry Systems: A Case Study from the Man Region, Côte d'Ivoire

Aims: Cocoa-based agroforestry systems in the Man region of Côte d'Ivoire are essential for balancing agricultural productivity and environmental preservation. This study assessed these systems regarding plant biodiversity conservation and carbon sequestration. Study Design and Methodology: The research was carried out in 21 cocoa plantations, aged between 14 and 32 years, across 60 botanical inventory plots, each measuring 10 by 20 meters. Tree heights and diameters were recorded to estimate Above Ground Biomass (AGB) using the equation AGB = 0.0673 × (ρD²H)0.976, where D is diameter, H is height, and ρ is specific density. Below Ground Biomass (BGB) was calculated as BGB=AGB×0.24, while total biomass (BT) was obtained as BT=AGB+BGB. Carbon stock (C) was derived using C=BT×0.5. Statistical analysis was applied to compare mean carbon stocks across different plantation ages. Results: The plantations, ranging from 8 to 32 years old, showed a diversity of companion species. The diversity of companion species in cocoa agrosystems varies from 4 in 8–10-year-old plantations to 12 in 14- and 15-year-old plantations. Carbon sequestration was age-dependent: younger plantations (5-10 years) sequestered 19.77 ± 2.32 tonnes per hectare, plantations aged 10-15 years stored 133.70 ± 253.50 tonnes, while middle-aged plots (15-20 years) reached 398.76 ± 861.51 tonnes. The oldest plantations (30-35 years) sequestered 137.94 ± 280.31 tonnes. Effective plantation management increased both carbon sequestration and biodiversity. Conclusion: The study highlights the importance of species diversity and continuous management in cocoa-based agroforestry systems. Optimized agroecological practices enhance biodiversity conservation and carbon sequestration, providing practical insights for stakeholders involved in agricultural sustainability, biodiversity conservation, and climate change mitigation. Cocoa agroforestry aligns economic and environmental objectives, offering a sustainable agricultural model.

Complex cocoa agroforestry systems shaped within specific socioeconomic and historical contexts in Africa: Lessons from Cameroonian farmers

CONTEXTIn the humid tropics, the socioecological advantages of family-based, multistory agroforestry systems are well recognized. Yet public policies tend to focus on conservation and land-sparing strategies alongside the promotion of modern intensive agriculture, neglecting these biodiverse agroecosystems, which are in decline. This is a particularly central issue in cocoa cultivation. In Africa's two largest cocoa-producing countries (Côte d'Ivoire and Ghana), cocoa plantations with few associated trees contribute to deforestation and biodiversity loss. In contrast, in regions like Cameroon, biodiversity-rich cocoa agroforests prevail. Considering global changes and rising cocoa demand, it is crucial to preserve and develop these agroforestry systems that reconcile cocoa production with ecosystem services. OBJECTIVEThis study, conducted in Cameroon between 2013 and 2017, aimed to pinpoint the socioeconomic factors influencing the characteristics, maintenance, and degradation of cocoa agroforests, with the ultimate goal of identifying intervention strategies to promote their preservation and development. METHODSThe study collected data from (i) on-field measurements in 95 cocoa agroforestry plots, (ii) interviews with the 95 farmers managing the plots, and (iii) historical interviews with 50 key informants. We focused on five sites across a gradient of population density, encompassing various socioecological environments and types of cocoa agroforests. Through thematic and statistical analyses, we evaluated differences between the five sites. RESULTS AND CONCLUSIONSOur results indicated contrasting management practices, dendrometric structure, species composition, and cocoa yields between sites. These contrasts largely reflected socioeconomic factors and site-specific dynamics. Cocoa agroforests were less rich in biodiversity in sites where farmers with capital using hired labor had acquired land than in sites where family farmers predominated. A trade-off was found between the richness of companion trees and cocoa yields. Plots managed by smallholder family farmers near urban areas tended to better reconcile cocoa production and biodiversity conservation. These farmers had gradually transformed their traditional agroforests to adapt to increasing demographic pressure by integrating diverse fruit tree species, using pesticides sparingly, and introducing selected cocoa varieties mixed with older varieties. SIGNIFICANCEThe small-scale family-managed cocoa agroforests, which incorporate fruit species as described in this study, could serve as a model for a more sustainable cocoa production strategy. However, developing such a strategy would require greater investment and support from policymakers. This includes supporting the marketing of products from companion trees, stabilizing cocoa prices at a high level, and implementing land policies that protect small and medium-sized family farmers.

Impact of allelochemicals from shade trees bark on the performance of cocoa seedlings

AbstractShade trees are important in cocoa agroforestry systems; however, they release allelochemicals from various parts that affect understory plants. Unfortunately, information on allelochemicals produced by shade tree bark in cocoa plantation remain scarce. This study investigates the effect of allelochemicals from bark of shade trees on cocoa seedlings growth. The experiment was a 4 × 11 factorial study, and the treatments were four different concentrations from each of the 11 tree species. The treatments were laid out in a completely randomized design with four replicates. Data were collected at 30, 60, 90, 120, and 150 days after treatment applications. The tree species alone and bark extract concentrations alone significantly impacted plant height from 90 to 150 days after application. Albizia ferruginea (Guill. & Perr.) Benth, Celtis mildbraedii Engl., and Triplochiton scleroxylon K. Schum produced the highest cocoa seedling heights. All concentrations also influenced stem diameter of cocoa seedlings. Albizia ferruginea enhanced stem diameter significantly among tree species and the control. Tree species and bark extract concentrations interacted to increase fresh root weights and dry plant biomass. Albizia ferruginea consistently increased dry plant biomass, while C. mildbraedii produced the highest enhancement for fresh roots. All concentrations enhanced plant biomass, with the 75 mg mL−1 concentration consistently producing the highest plant fresh and dry weights. Albizia ferruginea and C. mildbraedii can be potential tree species in the cocoa agroforestry when 2‐month‐old cocoa seedlings are to be transplanted on the field. Bark extract of 75 mg mL−1 concentration can be used as a growth stimulant on cocoa seedlings.

Increasing Production of Cocoa Agroforestry Systems Based on Environmentally Friendly Technology

Increasing Production of Cocoa Agroforestry Systems Based on Environmentally Friendly Technology

Impact of common shade tree species on microclimate and cocoa growth in agroforestry systems in Ghana

Climate change is a growing threat to agriculture globally, with most substantial impacts expected in tropical smallholder systems such as cocoa farms in West Africa. Cocoa agroforestry is widely believed to enhance resilience to climatic extremes due to protection and a favourable microclimate under the shade trees. Morphological traits of many locally used shade tree species and their specific contribution to microclimate for climate-resilient cocoa production remain unclear. Therefore, aboveground morphology and sub canopy microclimate of eight common shade tree species were investigated in cocoa agroforestry systems in the Ahafo region, Ghana. Additionally, the growth of cocoa trees in three different distance zones to the shade tree stem was measured. The eight different shade tree species exhibited considerable variation in their impact on microclimate and cocoa growth. M. indica and M. excelsa allowed lowest light transmission, with the highest microclimatic buffering effect, i.e., reducing vapour pressure deficit and daily fluctuations of temperature and relative humidity. Cocoa trees around M. lucida and F. capensis were the highest in growth, characterized by height and stem diameter. However, a universally superior shade tree species could not be identified implying the need for shade tree diversity allowing various microclimatic conditions within an agroforestry system to spread risk of climate extremes. Cocoa tree growth was more affected by distance to the shade tree than by shade tree species, resulting in enhanced growth with distance to the stem. These findings provide a better understanding of species-related differences on cocoa growing conditions and climate change adaptation strategies.

Contribution of Omnidirectional Flight Traps to Assess the Ant (Hymenoptera: Formicidae) Diversity in an Agroforestry System

The Malaise trap is widely used for monitoring the diversity of flying insects. The omnidirectional model (Omnidirectional flight trap) is well known when hung in the understory, where it divides the sampling of these insects into two interception strata, a lower and an upper one. In general, the interest in using this trap type is because it allows to collect organisms with distinct flight behaviors to be discriminated against. Here, we investigated what information this trap can provide from samples of canopy ants and winged individuals as workers. We evaluated the sampling efficiency of the ant fauna, comparing the collection strata of this trap in a cocoa agroforestry system. To collect the ants, 40 traps were installed near an equivalent number of shading trees in a cacao plantation. A total of 374 specimens of ants belonging to 94 species or morphospecies of Formicidae were captured. Of these, 44 species were represented by alates of both sexes, while workers represented 68 species. A significant difference in the average number of ant species, both winged individuals and workers, was observed according to the trap interception stratum. A greater number of alates were collected in the upper stratum than in the lower one. An inverse pattern was observed for workers. However, we do not observe any difference according to the trap interception stratum when focusing on the whole ant diversity independently from their cast. On the contrary, the pattern of species composition comparing the two trap interception strata varied according to the ant casts. The Malaise traps are also interesting because they provide valuable information about the activity of canopy ants, such as foraging (workers) and mating flight (alates: height, orientation, time, according to the schedule of trap use).

Carbon and nutrient cycling in cocoa agroforests under organic and conventional management

In cocoa agroforestry systems, cycling of leaves, pods, and branches are key for organic matter sustenance. We investigated annual total litterfall, annual nutrient stocks in total litterfall, cocoa pods and beans, as well as cocoa leaf decomposition rates in cocoa agroforestry systems under conventional and organic management in Suhum Municipality, Eastern Region of Ghana. The study was conducted using six cocoa agroforests for each management selected from a total of four villages. Litterfall was collected monthly using litterboxes and a litterbag technique was employed to study the rates of leaf decomposition and nutrient release for 12 months. In June and July, total litterfall in organic farms were 94% and 65%, respectively, higher than in conventional farms, but management had no effect on average annual total litterfall of 8.8 t ha−1 yr−1 litterfall. Due to the trees’ reduced transpiration, 61% of the annual total litterfall occurred during the dry season. Whereas average leaf litter nitrogen (N) concentration was 17% higher in the rainy season than dry season, potassium (K) concentration was 38% higher during the dry season than rainy season. This likely reflected the contribution of N rich green leaves to litterfall in the rainy season and plant coping strategy to drought leading to K accumulation. Cocoa leaf decomposition was not affected by management. Annual potassium (K) and calcium (Ca) stocks in cocoa pod husk were four and nine-fold, respectively, higher than in cocoa beans. We conclude that organic versus conventional management had no effect on litterfall and cocoa leaf decomposition rather season influenced litterfall quantity and chemistry. Irrespective of management the spreading of cocoa pod husk after harvest will improve internal nutrient cycling in cocoa agroforestry systems.

Soil quality reflects microbial resource availability and drives rhizosphere microbiome variation in Ghanaian cocoa farms

Soil quality reflects microbial resource availability and drives rhizosphere microbiome variation in Ghanaian cocoa farms

Cocoa agroforestry in Brazil through a public-private partnership

Historically, Brazil was a significant cocoa producer, primarily in the Amazon region, but since the 1970s, cocoa production became increasingly replaced by extensive livestock farming. What production remained, was halted by a fungal epidemic, resulting in Brazil becoming a net importer of cocoa beans. Thanks to recent sustainable development programmes and the emergence of the bioeconomy, Brazil has since experienced renewed interest in cocoa cultivation, especially in cocoa agroforestry. Initiatives such as Mondelez's Sustainable Cocoa Production project aim to promote sustainable cocoa production, with a focus on environmental regulations and good agricultural practices. The project focuses on two regions, Bahia and Pará. In Bahia, efforts are directed towards rejuvenating cocoa crops in cabruca systems, a traditional agroforestry system where cocoa is cultivated beneath native tree canopies. Small-scale farmers received training and experimental plots demonstrated that proper management practices could control fungal disease and increase cocoa production significantly, generating increased income. In Pará, cocoa agroforestry systems are promoted as an alternative to cattle ranching, which destroyed forests to create, now degraded, pasturelands. While restoration efforts are challenging, agroforestry systems showed promising financial returns compared to cattle ranching. Local farmer organisations also benefitted from workshops and ongoing mentoring regarding their management and business capacities. A failure of the project was that in some instances, agroforestry systems were promoted more as a way to produce cocoa than as an opportunity to diversify, which must be the priority. New due diligence initiatives in Europe have also highlighted the importance of traceability and sustainability in cocoa production, posing new challenges for Brazil’s small-scale farmers. The cocoa agroforestry systems in Bahia and Pará have, nonetheless, shown potential for sustainable local development in Brazil. To ensure their success and sustainability in the long term, there must be continued support systems for farmers and value must be ascribed to the immense product diversity of cocoa agroforestry.

Influence of Shade in Cocoa Agroforestry Systems on Physicochemical and Functional Characteristics of Cocoa Beans in Bonon, Central-West Côte d'Ivoire.

Côte d'Ivoire remains the world's leading producer of cocoa beans. However, cocoa farming is now recognized as a primary cause of deforestation in the country. To combat deforestation, the Ivorian government recently advocates for agroforestry, a farming technique involving the cultivation of cocoa trees with fruit or forest trees. Yet, the impact of these associated trees and their shade on the quality of produced cocoa beans remains relatively unknown. This study is aimed at evaluating the influence of tree shade in cocoa farms on the quality of cocoa beans produced in the Bonon area. Morphological, biochemical, and functional analyses were performed on cocoa beans from shaded, partially shaded, and sunny subplots. Overall, only beans from shaded subplots showed better commercial quality. Regarding nutritional potential, results demonstrated that acidity, protein content, and vitamin C levels were influenced by shade. Low protein levels were observed in beans from sunny areas. The presence of moderate shade significantly favored good foaming power and foam stability. These findings play a key role in the perceived quality and application of these beans in the food and cosmetic industry. Moreover, these discoveries open new research perspectives in the field of food biochemistry and sustainable agriculture.

Diversidad y potencial productivo de árboles maderables en sistemas agroforestales de cacao en Alta Verapaz, Guatemala

Timber production in agroforestry systems can improve environmental and economic sustainability, especially for families living in rural areas. Despite its importance in Guatemala, little is known about the potential of wood and its contribution to the sustainability of traditional agroforestry systems. This study aims to analyze the timber resources in cocoa agroforestry systems (CAFS) of different ages, evaluating variables such as floristic composition, species diversity, and the potential to obtain timber from the species present in the evaluated CAFS. Twenty temporary sampling plots of 2,500 m2 were established, and dendrometric variables were measured in all plots. Species occurrence was statistically analyzed by cross-tabulation and Pearson's Chi-square test (χ2) to determine species' frequency distribution among the evaluated CAFS ages. Eight hundred twenty-seven trees of 38 species belonging to 19 families were identified. The most represented species in the age range of the evaluated CAFS were Gliricidia sepium (35.07 %), Swietenia macrophylla (19.11 %), and Inga sapindoides (7.62 %). The total shade trees occupied a basal area of 33.29 m2, and a total volume of 352.35 m3 was recorded, of which 148.9 m3 were for commercial use. The most frequent uses of the wood were firewood (38.21 %), thin plank (30.23 %), and poles (22.85 %), while the use of thick plank was the least common (8.71 %). The CAFS in the studied area are characterized by a wide diversity of shade tree species. These results provide a solid basis for promoting sustainable practices that foster the productivity and preservation of these systems, thus contributing to the sustainability and well-being of farmers.

Dynamics of soil organic carbon pools following conversion of savannah to cocoa agroforestry systems in the Centre region of Cameroon

Dynamics of soil organic carbon pools following conversion of savannah to cocoa agroforestry systems in the Centre region of Cameroon