Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

GIS-Based Beekeeping Site Suitability Assessment Using Multi Criteria Decision Analysis in Atsbi-Wemberta District, Ethiopia

Domain:

agriculturegeospatial
Creator:
Hag
Editor:
MekMek
Publisher:
Mek
Host:avatar
Beekeeping offers multifaceted benefits that extend beyond economic gains, significantly contributing to pollination services, biodiversity conservation, and maintaining ecosystem balance, and socio economic development. In the Atsbi-Wemberta district, Ethiopia, not all Tabiyas are suitable for beekeeping. Thus, identifying suitable areas for beekeeping is crucial to maximize productivity. Integrating Geographic Information System (GIS) and Multicriteria Decision Analysis (MCDA) offers effective solutions for this decision-making process. Seven key factors influencing beekeeping including Temperature, Rainfall, Land Cover, Distance to River, Distance to Road, Elevation, and Aspect were analyzed. Data was collected from various primary and secondary sources. The weighting was determined using the Analytical Hierarchy Process (AHP), achieving a consistency ratio of 0.040. The study identified fifty-seven bee forage plant species, categorized as 42.1% herbs, 26.3% shrubs, and 31.6% trees. Significant honey sources included Becium grandiflorum, Olea europaea, and Aloe berhana. Three honey-harvesting periods were noted: late October to early December, with additional harvests in April and May. The areas were classified into More Suitable, Suitable, Less Suitable, and Not-Suitable zones, with about 84251.5 hectare (74%) of the land identified as potential for beekeeping from the total area of 113774.88 hectare. Specifically, More Suitable Areas 7318.98 hectare (6.43%), Suitable Areas 60829.36 hectare (53.46%), Less Suitable Areas 16103.15 hectare (14.15%), and not suitable 29523.39 hectare (25.96%) were determined. Validation was conducted using randomly selected 100 existing apiary sites and showed a 78% intersection rate, confirming the model's effectiveness. The socio-economic analysis highlighted challenges such as pests and pesticide use, while opportunities included natural vegetation and established honeybee colonies. This research provides valuable insights fand as a guidance for government agencies, small scale beekeepers, cooperatives, and investors in establishing commercial beekeeping operations. The study recommends Honey production led by agricultural practice should be exercised and conserving existing vegetation to sustain and enhance the area's beekeeping potential.

Visit

doi.orgrepository.mu.edu.et

Tags

BeekeepingGIS and MCDAPlant SpeciesAtsbi-Wemberta DistrictAHP.

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Municipal Solid Waste Disposal Site Selection Using GIS Based Multi Criteria Decision Analysis Techniques in Mandi Town, West Wollega Zone, EthiopiaSite Selection for Solid Waste (New landfill) using GIS-based Multi-Criteria Decision Analysis (MCDA) Khartoum state, SudanRice Farming Suitability Assessment in Anambra State Using Multi-Criteria Decision-Making ProcessGIS BASED MULTI CRITERIA LAND SUITABILITY ASSESSMENT FOR CASSAVA CULTIVATION IN KWARA STATE, NIGERIAFlood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, EthiopiaGIS-Based Multi-Criteria Analysis for Public Toilet Site Selection: A Case Study of Mekelle, Tigray, Ethiopia

Municipal Solid Waste Disposal Site Selection Using GIS Based Multi Criteria Decision Analysis Techniques in Mandi Town, West Wollega Zone, Ethiopia

Abstract Landfilling continues to be the most economical solution for managing sol

Site Selection for Solid Waste (New landfill) using GIS-based Multi-Criteria Decision Analysis (MCDA) Khartoum state, Sudan

Solid waste management is becoming a serious problem, especially in developing countries. It has bec

Rice Farming Suitability Assessment in Anambra State Using Multi-Criteria Decision-Making Process

International audience

GIS BASED MULTI CRITERIA LAND SUITABILITY ASSESSMENT FOR CASSAVA CULTIVATION IN KWARA STATE, NIGERIA

Cassava is a vital staple crop with significant economic and food security importance in Nigeria, pa

Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia

Abstract Floods have destroyed people’s lives as well as social and environmental assets. Flooding

GIS-Based Multi-Criteria Analysis for Public Toilet Site Selection: A Case Study of Mekelle, Tigray, Ethiopia

Urban public infrastructure plays a vital role in sustainable urban development, impacting public he