Mammal populations in Arabuko‐Sokoke Forest, Kenya, provide an important source of protein and income for local communities. The harvested biomass in 1991 was over 350 kg/km2, and the economic value of the harvest was over 1.3 million KShs (approximately US$35,000). Bushpigs, aardvarks, and primates comprise 95% of the harvested biomass, but the main prey in terms of number of animals killed (35% of total) was the four‐toed elephant shrew (Petrodomus tetradactylus). Trapping is concentrated on the periphery of the forest and reduces densities of four‐toed elephant shrews within 1–2 km of the forest edge by 41%, squirrels by 66%, and Syke's monkeys by 55%. Yellow baboons (Papio cynocephalus), Syke's monkeys (Cercopithecus mitis), and the larger ungulates are also hunted with dogs throughout the forest. The results of our study suggest that yellow baboons and Syke's monkeys are overharvested, and current offtake rates of elephant shrews, squirrels, and duikers (Cephalophus spp.) are sustainable. Overharvesting has reduced the densities of large ungulates, including bushbuck (Tragelaphus scriptus) and buffalo (Syncerus caffer), to low levels. Differences in reproductive rates, abundance, population, dispersion, ease of capture, and relative vulnerability to hunting, as compared to trapping, influence the extent to which different prey species are affected by harvesting. Caza de subsistencia en la selva de Arabuko‐Sokoke, en Kenia, y sus efectos sobra las poblaciones de mamíferos
Integrated soil fertility and soil water conservation technologies are possible solutions to the low per capita food production in Sub-Saharan Africa (SSA). Nonetheless, the rate of adoption of these technologies by smallholder farmers has stagnated over the years despite being recommended. This has been attributed to the existence of wide communication gaps among researchers, extension agents, and farmers. Therefore, this study aimed to assess the influence of communication factors on the adoption of the selected technologies among smallholder farmers in the drylands of Tharaka-Nithi County. We used a cross-sectional survey design and collected data using an interview schedule from 400 randomly selected farming households. Binary logistic regression was employed for data analysis. Results showed that accessibility of extension agents after introducing the technology significantly influenced the adoption of combined organic and inorganic fertilizers (p ¼ 0.056), mulch (p ¼ 0.051), and Zai pit (p ¼ 0.058). Similarly, practical orientation significantly influenced the adoption of combined organic and inorganic fertilizers (p ¼ 0.001), mulch (p ¼ 0.010), and Zai pit (p ¼ 0.003). Information repetition significantly influenced the adoption of combined organic and inorganic fertilizers, mulch, and Zai pit at p-value 0.003, 0.001, and 0.001, respectively. Training was essential for mulch and Zai pit technologies at (p ¼ 0.030) and (p ¼ 0.001) respectively, while farmer group membership significantly influenced adoption for combined organic and inorganic fertilizers (p ¼ 0.045) and Zai pit (p ¼ 0.057) technologies. Extension agents should increase their interactions with farmers after the introduction of technologies. Equally use of demonstrations should be encouraged during the dissemination of these technologies among the farmers as they enhance the chances of adoption of the technologies.
The study examined the adoption determinants of adapted climate smart agriculture (CSA) technologies among smallholder farmers. A multi-stage sampling procedure was used to select a total sample of 384 households. Percentages and regression were employed in data analysis. The results revealed that 47.4% adapted to climate change using integrated farming system, intercropping, crop rotation and agroforestry. Sex (0.9%), education level (9.2%) significantly influenced adoption of the adaptation strategies. Moreover, information sources such as mobile phones (0.9%), and neighbors/friends (0.2%) negatively affected the adaptation strategies. Future policy should aim at creating more awareness through different information sources and provide local extension services. Keywords: Adaptation, smallholder farmers
Degraded landscapes and soil water stress are long-standing problems to smallholder agriculture in the drylands. Despite the important roles of zai technology in restoring degraded landscapes and improving agricultural productivity, the technology is yet to be adopted to its fullest extent. This can be attributed to gender-linked disparities in agricultural technology utilization. The study, therefore, sought to determine gender-specific determinants of zai technology choice and use-intensity. A multistage sampling technique was employed in randomly selecting 133 female-headed households and 267 male-headed households in Tharaka South sub-county. Quantitative data were collected in a cross-sectional survey using an interviewer-administered questionnaire. Using sex-disaggregated data, Chi-square and t-test statistic were employed to test the statistical significance of dummy and mean value of continuous variables, respectively. Gender specific determinants of zai technology choice and use-intensity were determined using the Heckman-two-step econometric model. The results revealed that, more women farmers (44%) were using zai technology as compared to men (38%). Among women farmers, total cultivated land, access to animal-drawn farm implements, and group membership had an influence on zai technology choice. For men, total cultivated land, group membership and access to extension services positively influenced choice of zai technology. With regard to zai technology use-intensity, total land cultivated, livestock densities, group membership and frequency of trainings on soil and water management were important determinants among women farmers. For men, zai technology use-intensity was determined by total cultivated land and farmers’ perceptions on soil erosion. We recommend that, gender-sensitive farm-level policies oriented towards farmer socioeconomic profiles are important deliberations towards choice and intense application of soil and water conservation strategies such as the zai technology.
This study ascertained the socioeconomic determinants of farmers’ knowledge on soil and water conservation technologies in Dry zones of Central Highlands of Kenya involving 400 farming households. Results showed that the majority of the farmers had inadequate knowledge on the use and benefits of soil and water conservation technologies. The socio-economic factors that influence knowledge levels of the knowledge-intensive technologies were education level, gender, perceptions on soil fertility, farmer group membership, access to training, farm size, access to credit, number of livestock kept and access to farm equipment. This implies that there is the need to come up with an all-inclusive policy that can be employed in improving farmer’s level of knowledge through the use of more innovative methods of information dissemination. This can be done by strengthening the existing farmer groups, enhancing extension services, and also formulating gender-friendly policies.
PurposeThe purpose of this paper is to investigate the effect of on-farm testing on the adoption of banana production technologies among smallholder farmers in the Meru region, Kenya.Design/methodology/approachThe study adopted a pragmatic paradigm and a cross-sectional survey design, sampling 370 and 30 farmers proportionately from 269,499 to 19,303 smallholder banana farmers in Meru and Tharaka-Nithi Counties of Kenya, respectively.FindingsThe study revealed that there was an association between belonging to a banana farming testing group and the adoption of banana technology. The study also revealed that most farmers were not interested in adopting banana technologies as they preferred the use of conventional methods, due to unstable market prices, lack of subsidized banana production input, inaccessibility to technological materials, few extension experts and lack of enough demonstrations.Research limitations/implicationsSome respondents were not willing to freely offer the information required for this study. This was delimited by assuring the informants of the confidentiality of their responses.Originality/valueThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The agricultural extension service providers will have more light on the underlying issues that need to be considered if meaningful interventions are to be done on various aspects of the banana value chain.
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