Impact of beekeeping on forest conservation at Itigi forest, Tanzania

Data Collection and Methodology

The structured research project used primary and secondary methodologies to examine how beekeeping affects forest conservation in Tanzania's Itigi Forest. The method assessed beekeeping's impact on forest conservation and livelihoods. Information about data gathering methods, protocols, and tools is below:1. Study Area ChoiceThe study took place in Tanzania's Itigi Forest, famed for its dry miombo forests and beekeeping. Beekeeping prevalence, land-use changes, and conservation activities determined research sites.2. Data GatheringSurveys of householdsSample Size and Selection: Stratified random sampling chose 389 beekeeping homes from different villages.Survey Tool: KoBoTool (ODK)-structured questionnaires collected socio-economic data on beekeeping, income, conservation, and land-use changes. Data Collection Protocol: Swahili interviews were translated into English for analysis.b) KIIs and FGDs with village leaders, beekeeping cooperative representatives, forest officers, and environmental specialists.Objective: To acquire qualitative data on traditional and modern beekeeping, conservation, and policy.Interviews were semi-structured and recorded for transcription and analysis.c) Remote sensing/GIS AnalysisSatellite photos: USGS Earth Explorer collected Landsat 5, 7, and 8 photos to study land cover change from 1990 to 2020.Used Software:Spatial analysis and mapping with ArcGIS 10.20.The Google Earth Engine for time-series analysis.Geospatial data visualization with QGIS.Workflow: Image pre-processing, supervised classification, and accuracy assessment detected deforestation, land-use change, and forest regeneration.The study used field observations to evaluate beekeeping locations, forest degradation, and conservation initiatives.GPS (Garmin eTrex 30X) for georeferencing, digital cameras for documentation.The secondary data review included government papers, Tanzania Forest Service Agency (TFS) publications, local beekeeping associations' records, and previous research on beekeeping and conservation.3. Process and analyze dataQuantitative Data: Generated descriptive statistics, regression models, and correlation analysis using SPSS and Excel.Qualitative Data: Interview and conversation patterns supported content analysis.Analyzing land cover change using ArcGIS 10.6 required supervised categorization.4. Moral IssuesThe University of Dar es Salaam granted ethical approval.All subjects gave informed consent before interviews and surveys.This methodological framework ensures research transparency, repeatability, and reliability.