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

Author:

Roque Natália1ORCID,Fernandez Paulo123ORCID,Silveira Carlos45ORCID,Vilas-Boas Miguel45ORCID,Anjos Ofélia126ORCID

Affiliation:

1. IPCB—Agrarian School, Polytechnic Institute of Castelo Branco, 6000-084 Castelo Branco, Portugal

2. CERNAS-IPCB—Research Centre for Natural Resources, Environment and Society, Polytechnic Institute of Castelo Branco, 6000-084 Castelo Branco, Portugal

3. MED&CHANGE—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Universidade de Évora, 7006-554 Évora, Portugal

4. Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal

5. Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal

6. Centro de Estudos Florestais (CEF), Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal

Abstract

Beekeeping management is greatly influenced by spatial factors (e.g., land use/land cover, roads, or electrical energy networks), so GIS are a powerful tool to overlap and relate a variety of spatial data levels and, consequently, a very useful tool for beekeeping activity planning. This study was developed within the intervention area of three controlled zones managed by Portuguese Beekeepers Associations. The methodology, based on multi-criteria decision analysis, integrates several criteria, such as hydrographic networks, road networks, soil occupation, solar radiation, and electromagnetic radiation sources. These criteria were proposed and evaluated through online questionnaires carried out with beekeepers. Concerning the selected criteria and the respective geographical data, the most relevant were land use/land cover and water availability, with a significance of 44% and 24%, respectively. The beekeeping suitability map enabled us to evaluate the degree of compliance for the actual location of apiaries, with 60% of the apiaries being installed in high potential areas. In the context of beekeeping planning, the potential of the techniques applied seems to be an important tool for optimizing the location of apiaries and the profitability of beekeeping.

Funder

Project BeeLAnd

Project APISig Programa Apícola Nacional

Science and Technology

CERNAS-IPCB

CEF

TERRA

MED

CIMO

SusTEC

Publisher

MDPI AG

Subject

Insect Science

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