Using Analytic Hierarchy Process to Assess Beekeeping Suitability in Portuguese Controlled Areas: A First Approach

Area of Science:

• Environmental Science
• Agricultural Science
• Geomatics

Background:

• Beekeeping management is significantly impacted by spatial factors, including land use, infrastructure, and environmental conditions.
• Geographic Information Systems (GIS) offer a robust framework for integrating and analyzing diverse spatial data layers relevant to beekeeping.

Purpose of the Study:

• To develop and apply a multi-criteria decision analysis methodology using GIS for optimal apiary site selection.
• To evaluate the suitability of current apiary locations based on key spatial criteria identified by beekeepers.

Main Methods:

• Utilized multi-criteria decision analysis integrating criteria such as hydrographic networks, road networks, soil occupation, solar radiation, and electromagnetic radiation sources.
• Conducted online questionnaires with beekeepers to gather input on criterion relevance.
• Employed GIS to create a beekeeping suitability map based on weighted criteria.

Main Results:

• Land use/land cover (44%) and water availability (24%) were identified as the most significant criteria by beekeepers.
• The generated beekeeping suitability map revealed that 60% of existing apiaries are situated in areas with high potential suitability.
• The methodology demonstrated the effectiveness of GIS in assessing apiary placement.

Conclusions:

• The applied GIS-based multi-criteria decision analysis is a valuable tool for optimizing apiary location selection.
• Effective spatial planning can enhance the profitability and sustainability of beekeeping operations.
• Integrating beekeeper insights with spatial data analysis improves management strategies.