Empirical evidence of Taungya agroforestry program in Sudan was generated. The objectives were to... more Empirical evidence of Taungya agroforestry program in Sudan was generated. The objectives were to examine the association between socio-economic characteristics of farmers and Tuangya practice, assess the program’s contribution to farmers' income, and highlight farmers’ major incentives and constraints. The purposive sampling technique was applied targeting 200 Taungya farmers. Data were collected using questionnaires, focus group discussions, key informant interviews, direct field observations, and document reviews. Descriptive statistics, the chi-square test, and a paired sample t-test were used to analyze the data. Study results showed that 77% of farmers were male, with an average age of 41 years. About 77% of farmers cultivate an average land area of 3.5 hectares. The chi-square result showed that socio-economic characteristics such as marital status, age, family size, year of participation, and educational level had a significant association with Taungya practice, while ge...
The decline of the forest cover due to deforestation and agricultural expansion in Sudan has reac... more The decline of the forest cover due to deforestation and agricultural expansion in Sudan has reached a critical situation. Taungya agroforestry systems have been used as a strategy to safeguard against this process, allowing farmers to cultivate their subsistence crops at the early stage of tree plantations. The current study research tackled Nabag Forest Reserve (NFR) as a case study to assess and explore Taungya agroforestry system as a practice used for forest rehabilitation in the study area. Satellite images of Landsat 5 Thematic Mapper, and Landsat 8 Operational Land Imager/Thermal Infrared Sensor of 1991, 2001, 2011, and 2021 were used to generate forest cover maps. Both unsupervised and supervised classification, as well as ground truth points, were applied to classify the vegetation cover in NFR as dense forest (DF), light forest (LF), agricultural field (AF), and bare land (BL). The results showed that two trends of forest cover changes occurred in NFR between 1991-2001 an...
Empirical evidence of Taungya agroforestry program in Sudan was generated. The objectives were to... more Empirical evidence of Taungya agroforestry program in Sudan was generated. The objectives were to examine the association between socio-economic characteristics of farmers and Tuangya practice, assess the program’s contribution to farmers' income, and highlight farmers’ major incentives and constraints. The purposive sampling technique was applied targeting 200 Taungya farmers. Data were collected using questionnaires, focus group discussions, key informant interviews, direct field observations, and document reviews. Descriptive statistics, the chi-square test, and a paired sample t-test were used to analyze the data. Study results showed that 77% of farmers were male, with an average age of 41 years. About 77% of farmers cultivate an average land area of 3.5 hectares. The chi-square result showed that socio-economic characteristics such as marital status, age, family size, year of participation, and educational level had a significant association with Taungya practice, while ge...
The decline of the forest cover due to deforestation and agricultural expansion in Sudan has reac... more The decline of the forest cover due to deforestation and agricultural expansion in Sudan has reached a critical situation. Taungya agroforestry systems have been used as a strategy to safeguard against this process, allowing farmers to cultivate their subsistence crops at the early stage of tree plantations. The current study research tackled Nabag Forest Reserve (NFR) as a case study to assess and explore Taungya agroforestry system as a practice used for forest rehabilitation in the study area. Satellite images of Landsat 5 Thematic Mapper, and Landsat 8 Operational Land Imager/Thermal Infrared Sensor of 1991, 2001, 2011, and 2021 were used to generate forest cover maps. Both unsupervised and supervised classification, as well as ground truth points, were applied to classify the vegetation cover in NFR as dense forest (DF), light forest (LF), agricultural field (AF), and bare land (BL). The results showed that two trends of forest cover changes occurred in NFR between 1991-2001 an...
Uploads