Natural Disaster Risk Assessments for Pine Honey Apiaries in Muğla, Turkey
Abstract
Since Muğla province has 90% of the world's total pine honey production, ensuring efficiency and economic income requires the determination of measures for apiary locations and estimation of risks. However, ensuring development and productivity requires identifying natural disasters susceptibility such as forest fires and floods to maintain productivity. Muğla province has a high forest fire potential due to its dense forest cover and approximately 200 forest fires occur each year. Forest fires are one of the main factors that threaten apiaries, as there are a lot of apiary places (approximately 15,000) in forests for pine honey. On the other hand, due to the mountainous topography and high precipitation rate of Muğla, the province has a high rate of flood formation (20 per year), which threatens the hive sites by destroying the entire colony. In this study, Apiary Locations Risk Index (ALRI) was carried out to guide the insurance process for apiary locations by applying the Forest Fire Risk Index (FFRI) and the Flood Hazard Risk Index (FHRI). Determination of forest fire risk zones and flood hazard maps requires environmental, forestry, topographic, economic and meteorological parameters to be handled within a decision support platform. For this purpose, Analytical Hierarchy Process (AHP) technique supported by Geographic Information System (GIS) was used in the creation of sensitivity maps. As a result, 1533.40 ha (11.82%) of the study area was determined as extremely risky areas for apiary areas. The results were confirmed with 1454 forest fire sites and 20 flood hazard sites where the Eşen, Dalaman, Çine, Sarıçay, Akçay, Kamiişdere and Namnam rivers were stated to be highly susceptible to flood hazard.
Keywords
References
- Abou-Shaara H.F., Al-Ghamdi A.A., Mohamed A.A., (2013), A suitability map for keeping honey bees under harsh environmental conditions using geographical information system, World Applied Science Journal, 22, 1099–1105.
- Adab H., Kanniah K.D., Solaimani K., (2013), Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques, Natural Hazards, 65(3), 1723–1743.
- Ajin R.S., Loghin A.M., Jacob M.K., Vinod P.G., Krishnamurthy R.R., (2016), The risk assessment of potential forest fire in Idukki Wildlife Sanctuary using RS and GIS techniques, International Journal of Advanced Earth Science and Engineering, 5, 308-18.
- Alexakis D.D., Grillakis M.G., Koutroulis A.G., Agapiou A., Themistocleous K., Tsanis I.K., Michaelides S., Pashiardis S., Demetriou C., Aristeidou K., Retalis A., Tymvios F., Hadjimitsis D.G., (2014), GIS and remote sensing techniques for the assessment of land use changes impact on flood hydrology: the case study of Yialias Basin in Cyprus, Natural Hazards and Earth System Sciences, 14, 413–426.
- Amraoui M., Pereira M.G., DaCamara C.C., Calado T.J., (2015), Atmospheric conditions associated with extreme fire activity in the Western Mediterranean region, Science of The Total Environment, 524, 32–39.
- Arentze T.A., Timmermans HJP., (2000), ALBATROSS: A Learning-based Transportation Oriented Simulation System. EIRASS, Eindhoven University of Technology, The Netherlands.
- Bonora L., Conese C., Marchi E, Testi E., Montorselli N.B., (2013), Wildfire occurrence: Integrated model for risk analysis and operative suppression aspects management, American Journal of Plant Sciences, 4, 705–710.
- Bapalu G.V., Sinha R., (2005), GIS in flood hazard mapping: a case study of Kosi River Basin, India, http://www.gisdevelopment.net/application/natural_hazards/floods/floods001pf.htm [Accessed 17 January 2014].
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Fatih Sarı
*
0000-0001-8674-9028
Türkiye
Publication Date
July 30, 2022
Submission Date
October 14, 2021
Acceptance Date
February 28, 2022
Published in Issue
Year 2022 Volume: 8 Number: 2
