Enhancement of resilience to climate variability and change through agroforestry practices in smallholder farming systems in Cameroon

2020

IJPSS

Tree diversity and density in agroforestry systems has been found to increase the diversity and density of soil macro-fauna. However, very little is known of the relationship between tree diversity and density in cocoa agroforests and soil macro-fauna diversity and density. This study was therefore undertaken to fill this knowledge gap. A mixed research approach was adopted and data analysis was done using descriptive and inferential statistics. From the findings, most cocoa farmers perceived that tree diversity in cocoa agroforests was either average, high or very high. Most cocoa farmers perceived that tree density on its part was either average or low. Concerning soil macro-fauna diversity in cocoa-based agroforestry systems, most of the cocoa farmers perceived that soil macro-fauna diversity was either average or high. For soil macro-fauna density in cocoa agroforests, most cocoa farmers perceived that soil macro-fauna density was either average, high or low. Through correlation and regression analyses, it was found that a statistically significant (p<0.05) direct non-cause-effect and cause-effect relationship existed between the level of tree diversity and density in cocoa-based agroforestry systems (very high tree diversity, high tree diversity, average tree diversity, low tree diversity, very low tree diversity), and the level of soil macro-fauna diversity and density. This implies that increasing tree species diversity and density leads to increasing soil macro-fauna diversity and density in cocoa-based agroforestry systems. It is therefore recommended that policy makers take drastic measures to ensure greater tree diversity and density in cocoa agroforests in order to ensure higher soil macro-fauna diversity and density.

Section: Tree Diversity and Density In Cocoa-based Agroforestry Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cocoa Farmers’ Perceptions of the Role Played by Tree Diversity and Density on Soil Macro-Fauna Diversity and Density in Cocoa-Based (Theobroma cacao) Agroforestry Systems in Cameroon

2020

IJPSS

“…The multi-stage sampling technique was used as reported in previous studies [12,31,14]. At the first stage, the study area (Mungo division in general and Melong administrative district more specifically) was purposively chosen owing to the predominance of cocoa-based agroforestry systems.…”

Section: Sampling Techniquementioning

confidence: 99%

“…In Cameroon, all the aforementioned agroforestry systems and practices exist [8,[12][13][14]. Cocoabased agroforestry systems in particular are dominant especially in the humid southern part of the country characterized by high mean annual temperatures and high average annual rainfall [15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Assessing the determinants of soil fertility in cocoa-based (Theobroma cacao) agroforestry systems in the Littoral region of Cameroon

2020

IJPSS

Soil fertility decline is a reality across the globe. Soil infertility has led to falling crop yields for both food and cash crops precipitating both poverty and food insecurity. Poor agricultural practices have often been blamed for declining levels of soil fertility. It was within this framework that this study was carried out to assess soil fertility levels in cocoa-based agroforestry systems in the Littoral region of Cameroon. Through the use of a mixed research approach and descriptive and inferential statistical analysis it was found that the most perceived indicators of soil fertility by cocoa farmers in cocoa-based agroforestry systems were cocoa yields (100%), soil colour (90%), indicator plant species (75%), presence of soil macro-organisms (80%), indicator weed species (65%), growth rate/vigour of the cocoa plant (70%), and level of compaction of the soil (50%). Chi-square test statistic (X2 = 15.92, p<0.05) revealed that there was a statistically significant difference in cocoa farmers’ perceptions of soil fertility indicators in cocoa-based agroforestry systems. Most cocoa farmers perceived the level of soil fertility in cocoa-based agroforestry systems to be between average (29%) and low (43%). Very few cocoa farmers perceived that soil fertility level in cocoa-based agroforestry systems was very high (5.3%). Chi-square test statistic (X2 = 38.42, p<0.05), revealed the existence of a statistically significant difference in cocoa farmers’ perception of the level of soil fertility in cocoa-based agroforestry systems. Correlation and regression analyses showed the existence of a direct and inverse non-causal and causal relationship respectively between several explanatory variables and soil fertility in cocoa-based agroforestry systems. It was noticed that explanatory variables such as fertilizer/manure application, diversity of tree species in the cocoa agroforests, diversity of soil macro-fauna in the cocoa agroforests, and density of soil macro-fauna in the cocoa agroforests, all had a statistically significant (p<0.05) direct non-causal and causal relationship with soil fertility in cocoa-based agroforestry systems. Meanwhile, explanatory variables such as age of the cocoa farm, density of cocoa plants in the cocoa agroforests, and application of agrochemicals in the cocoa agroforests, all had a statistically significant (p<0.05) non-causal and causal relationship with soil fertility in cocoa-based agroforestry systems. It is therefore recommended that there should be more organic fertilizer/manure application, more diversity of tree species in the cocoa agroforests, and measures to ensure the diversity and density of soil macro-fauna in cocoa-based agroforestry systems.

“…The multiphase sampling procedure was used as applied by other studies [31][32][33]. The first phase involved the purposive selection of Melong administrative district owing the predominance of cocoa-based agroforestry systems (the target farming system of the study).…”

Section: Sampling Data Collection and Data Analysismentioning

confidence: 99%

Determinants and Policy Ramifications of Cocoa Farmers’ Use of Agrochemicals in Cocoa-Based (Theobroma cacao) Agroforestry Systems in Cameroon

2020

JEAI

The application of agrochemicals in agroforestry systems in general and cocoa-based agroforestry systems in particular is unprecedented as agroforestry systems are considered as environmentally benign, agro-ecological and sustainable agricultural systems. It was within this context that this study was undertaken to examine the determinants of cocoa farmers’ use of agrochemical in cocoa-based agroforestry systems. Through a mixed research approach, and data analysis using appropriate descriptive and inferential statistical tools, it was found that the main types of herbicides used by cocoa farmers in cocoa-based agroforestry systems are Paraquat (50%) and Glyphosate (40%). For fungicides, the main types used were Mancozeb (70%), Maneb (65%), Ridomil (60%), Caocobre (50%), and Nordox (40%). For insecticides, the main types used were Methyl (65%), Imidacloprid (60%), Endosulfan (50%), Cypermethrin (50%), and Fenobucarp (40%). The most common pests and diseases affecting cocoa perceived by cocoa farmers in cocoa-based agroforestry systems were Black pod – Phytophtora spp (100%), Capsid/Mirids – Distantiella theobroma and Sahlbergella singularis (100%), Cocoa Swollen Shoot Virus Disease – CSSVD (60%), Witches’ broom – Crinipellis perniciosa (50%) and Vascular streak dieback (40%). Most cocoa farmers perceived that the use of all three agrochemicals (herbicides, fungicides, and insecticides) in cocoa-based agroforestry systems have negative socio-economic and environmental impacts. From Spearman rank correlation and logistic regression coefficients, it was noticed that the main explanatory variables having a statistically significant direct non-cause-effect and cause-effect relationship (p<0.05) with cocoa farmers’ use of agrochemicals in cocoa-based agroforestry systems were gender, income, availability of agrochemicals, access to information, membership in farming groups, and access to extension services. Meanwhile the main explanatory variables having a statistically significant indirect or inverse non-cause-effect and cause-effect relationship (p<0.05) with cocoa farmers’ use of agrochemicals in cocoa-based agroforestry systems were farm size and number of farms. It is recommended that policy makers take a critical look at the different agrochemicals used by cocoa farmers as well as the determinants of their use when formulating policies geared towards ensuring the sustainable use of these agrochemicals in cocoa-based agroforestry systems.