Md. Sohel Rana
Regional Bamboo Research and Training Centre, Bangladesh Forest Research Institute, Domar, Nilphamari-5340, Bangladesh.
Md. Mahabub Alam
Regional Bamboo Research and Training Centre, Bangladesh Forest Research Institute, Domar, Nilphamari-5340, Bangladesh.
Md. Asaduzzaman Sarker
Regional Bamboo Research and Training Centre, Bangladesh Forest Research Institute, Domar, Nilphamari-5340, Bangladesh.
Diversity, Area, Species, Practice and Systems, Homestead, Agroforestry
Domar Upazila in Nilphamari district.
Socio-economic and Policy
Income generation
The study was done in 2 unions (Boragari and Pangamotukpur union) of Domar Upazila in Nilphamari district. The area of Nilphamari district (Rangpur Division) is 1580.85 sq. km, located in between 25°44' and 26°19' north latitudes and in between 88°44' and 89°12' east longitudes. The area of Domar Upazila is 250.84 sq. km, located in between 26°02' and 26°19' north latitudes and in between 88°46' and 88°54' east longitudes. It is bounded by West Bengal of India on the north, Nilphamari Sadar Upazila on the south, Dimla and Jaldhaka Upazilas on the east, Debiganj Upazila on the west. The Upazila consists of one municipality, 10 Union Parishads, 47 Mouzas, and 47 villages. The main rivers are Jamuneshwari, BuriTista, and Deonai. There is coarse sand (Domar Sand) in this Upazila. The main sources of income are agriculture (68.04%), non-agricultural labourer (4.69%), industry (0.38%), commerce (12.38%), transport and communication (3.78%), service (4.28%), construction (0.97%), religious service (0.25%), rent and remittance (0.19%) and others (5.04%). Non-calcareous brown sandy loams to clay loams are seen in the old Himalayan piedmont plain, Tista and old Brahmaputra floodplains, and locally in the old Ganges River floodplains. Soils are slight to strongly acid in reaction. A simple questionnaire was asked for collecting information through a set of preliminary survey schedules from the study area. A set of preliminary survey schedules has been planned based on the main objectives of the study. Data collections were done from the selected 100 farmers from October to December 2020. The draft schedules were pre-tested by interviewing some sample farmers by the researchers. Thus, the final survey schedule was prepared in conformity with logical sequences and necessary adjustments. Variables of the study Two types of variables were shown in this study area viz., dependent and independent variables. The independent variables were age, education, family member, total land size, homestead size, cultivable land size, fallow land size, annual income, knowledge about trees, and agroforestry knowledge. The dependent variables of the study were plants (plant diversity) and existing agroforestry practices. The plant diversity of homestead agroforestry was found by calculating the number of tree species. As the number of tree species observed in homestead agroforestry was the main focus of the study, the researchers acquired it by visiting the study area and discussing it with farmers. Predominating observed tree species (fruits, timbers, crops, vegetables, and others) was counted in homestead area and numbers expressed it. Data processing and analysis After data collection, the entire interview schedules data such as range, number and percentage, mean, standard deviation, and rank order were used to view the objectives of the study whenever possible. Pearson’s Product Moment Coefficient of Correlation (r) was also used to determine the relationship between the concerned variables. The computed values of the Correlation Coefficient (r) were compared with relevant table values. All the data analysis was done by using IBM SPSS statistical software.
International Journal of Forestry, Ecology and Environment - Vol. 05, Issue 01: 195-201, 2021, 2020
Journal