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

2024Artigo científico Acesso aberto
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dc.contributor.authorRoque, Natália
dc.contributor.authorFernandez, Paulo
dc.contributor.authorSilveira, Carlos
dc.contributor.authorVilas-Boas, Miguel
dc.contributor.authorAnjos, Ofélia
dc.date.accessioned2024-05-09T14:18:23Z
dc.date.available2024-05-09T14:18:23Z
dc.date.issued2024
dc.description.abstractSimple Summary Beekeeping is an activity that supports agriculture and wildlife on earth, so it is very important to provide accurate information that is able to help in increasing the profitability of beekeeping and valorize pollination services. In this paper, a new methodology is proposed to assess beekeeping potential using Geographic Information Systems (GIS) and the Analytical Hierarchy Process. The proposed tool will support decision making by selecting the best apiary locations to maximize honey production and, consequently, the risks of losing bee colonies will be reduced. The Suitability map (apiary aptitude map) allows for validating the best locations for apiaries (considering the spatial and floristic resources use), and the aptitude for installing new apiaries or moving existing ones. In this sense, the application of Multi-criteria GIS Analysis, in the context of beekeeping planning, is a useful tool for the Beekeepers Association to manage honeybee resources within the territory in order to maximize their profit, and for government agencies to implement promotional measures and policies to maximize food support needs and mitigate spared diseases.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.pt_PT
dc.description.sponsorshipThis work was supported by Project BeeLAnd PRR-C05-i03-I-000081 and Project APISig Programa Apícola Nacional, PAN 2014-2016. The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for their financial support through national funds FCT/MCTES (PIDDAC) to CERNAS-IPCB, UIDB/00681/2020 (DOI: 10.54499/UIDP/00681/2020); CEF, UIDB/00239/2020 and TERRA (DOI: 10.54499/LA/P/0092/2020); MED, UIDB/05183/2020; CIMO, UIDB/00690/2020 (DOI: 10.54499/UIDB/00690/2020) and UIDP/00690/2020 (DOI: 10.54499/UIDP/00690/2020) and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020). APC was supported by CERNASIPCB (UIDB/00681/2020).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRoque, Natália; Fernandez, Paulo; Silveira, Carlos; Vilas-Boas, Miguel; Anjos, Ofélia (2024). Using Analytic Hierarchy Process to Assess Beekeeping Suitability in Portuguese Controlled Areas: A First Approach. Insects. EISSN 2075-4450. 15:2, p. 1-19pt_PT
dc.identifier.doi10.3390/insects15020091pt_PT
dc.identifier.eissn2075-4450
dc.identifier.urihttp://hdl.handle.net/10198/29742
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationResearch Center in Natural Resources, Environment and Society
dc.relationResearch Center in Natural Resources, Environment and Society
dc.relationForest Research Centre
dc.relationLaboratory for Sustainable Land Use and Ecosystem Services
dc.relationMediterranean Institute for Agriculture, Environment and Development
dc.relationMountain Research Center
dc.relationMountain Research Center
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBeekeepingpt_PT
dc.subjectSuitability mapspt_PT
dc.subjectGISpt_PT
dc.subjectMulti-criteria analysispt_PT
dc.subjectFuzzy AHPpt_PT
dc.subjectSpatial planningpt_PT
dc.titleUsing Analytic Hierarchy Process to Assess Beekeeping Suitability in Portuguese Controlled Areas: A First Approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Center in Natural Resources, Environment and Society
oaire.awardTitleResearch Center in Natural Resources, Environment and Society
oaire.awardTitleForest Research Centre
oaire.awardTitleLaboratory for Sustainable Land Use and Ecosystem Services
oaire.awardTitleMediterranean Institute for Agriculture, Environment and Development
oaire.awardTitleMountain Research Center
oaire.awardTitleMountain Research Center
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00681%2F2020/PT
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oaire.citation.endPage19pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInsectspt_PT
oaire.citation.volume15pt_PT
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person.familyNameSilveira
person.familyNameVilas-Boas
person.givenNameCarlos
person.givenNameMiguel
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rcaap.rightsopenAccesspt_PT
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