GIS Approach for Determining the Optimum Spatiotemporal Plan for Beekeeping and Honey Production in Hot-Arid Subtropical Ecosystems

Awad, Awad M.; Owayss, Ayman A.; Iqbal, Javaid; Raweh, Hael S.; Alqarni, Abdulaziz S.

doi:10.1093/jee/toz002

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Thus, management and monitoring beekeeping activities are being more important to provide efficient and sustainable productivity. Furthermore, determining suitable locations for beekeeping should be evaluated in the field of land use planning considering economical, ecological, environmental and social aspects within spatiotemporal perspective (Awad et al 2019).…”

Section: Introductionmentioning

confidence: 99%

A comparison of multicriteria decision analysis techniques for determining beekeeping suitability

et al. 2020

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Over the past decade, the importance of the beekeeping activities has been emphasized in the field of biodiversity, ecosystems, agriculture, and human health. Thus, deciding correct beekeeping activities seems essential to maintain and improve productivity and efficiency. Due to this importance, considering the economic contributions of beekeeping to the rural area, the need for suitability analysis concept has been revealed. At this point, multicriteria decision analysis (MCDA) and geographical information system (GIS) integration provides efficient solutions to the complex structure of decision-making process for beekeeping activities. In this study, site suitability analysis for beekeeping via analytical hierarchy process (AHP), the technique for order of preference by similarity to ideal solution (TOPSIS), and vise kriterijumska optimizacija I kompromisno resenje (VIKOR) was carried out to increase honey productivity and compare MCDA techniques for Konya city in Turkey. Slope, elevation, aspect, distance to water resources, roads and settlements, precipitation, and flora criteria were included to determine suitability. The requirements, expectations, and limitations of beekeeping activities were specified with the participation of experts and stakeholders. The final suitability maps resulted from each method were validated with existing 117 beekeeping locations and Turkish Statistical Institute 2015 beekeeping statistics for Konya province. Considering existing beekeeper locations, AHP has 82%, VIKOR 88%, and TOPSIS 91% overlapping rates with the suitability maps. According to the correlation R values between total beekeeper count and suitability rates, VIKOR has 0.70, TOPSIS 0.68 and AHP 0.66.

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Section: Introductionmentioning

confidence: 99%

A comparison of multicriteria decision analysis techniques for determining beekeeping suitability

et al. 2020

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“…This study is one element of a major research project investigating how subtropical weather conditions reflect on different key points related to bee colony performance, e.g., nectar secretion dynamics, flowering phenology, pollination ecology, the honey potential of major bee plants [20,21,25,26], the antimicrobial potential of honeys [17], associative learning and heat shock protein expression [27,28], insecticidal-induced changes in the learning of honeybees [29], and the use of geographic information systems (GIS) and remote sensing technologies to determine the optimal forage capacity [30]. The present experiment was conducted to evaluate the rates of outgoing and pollen-gathering foragers during a period of rich nectar flow.…”

Section: Introductionmentioning

confidence: 99%

Differential Foraging of Indigenous and Exotic Honeybee (Apis mellifera L.) Races on Nectar-Rich Flow in a Subtropical Ecosystem

Alqarni

2020

Insects

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In the subtropics, agricultural activities such as beekeeping are greatly influenced by environmental challenges. In the desert of Central Arabia, honeybees forage on limited prairies that are affected by adverse weather conditions. Bee colonies reduce their field activities during extremely hot-dry-windy weather. This study investigated whether nectar-rich melliferous flora enhance the field activities of two honeybee subspecies, Apis mellifera jemenitica (indigenous) and A. m. carnica (exotic), despite the presence of severe weather conditions. The foraging and pollen-gathering activities of the two subspecies were evaluated on Acacia trees (Acacia gerrardii Benth.), a common subtropical, summery endemic bee plant, in the central desert of the Arabian Peninsula. The native colonies were significantly (p < 0.001) more active foragers than the exotic colonies (109 ± 4 and 49 ± 2 workers/colony/3 min, respectively). Similarly, the native colonies recruited significantly (p ˂ 0.01) more active pollen-gathering bees than the imported colonies (22 ± 1 and 7 ± 1 workers/colony/3 min, respectively). Furthermore, far more food was collected by the indigenous colonies than by the exotic colonies, and a higher portion of all field trips was allocated to pollen gathering by the indigenous bees than by the imported bees. The nectar-rich Acacia trees reduced the negative effects of hot-dry-windy weather. More research on honeybee colonies operating in the subtropical conditions of Central Arabia is needed, especially regarding heat tolerance mechanisms and effects on queen and drone fertility.

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Mapping melliferous potential in productive honey areas through spatial tools: Towards a rationalization of beekeeping

Sarvia,

De Petris,

Borgogno-Mondino

2023

Ecological Informatics

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GIS Approach for Determining the Optimum Spatiotemporal Plan for Beekeeping and Honey Production in Hot-Arid Subtropical Ecosystems

Cited by 4 publications

References 23 publications

A comparison of multicriteria decision analysis techniques for determining beekeeping suitability

A comparison of multicriteria decision analysis techniques for determining beekeeping suitability

Differential Foraging of Indigenous and Exotic Honeybee (Apis mellifera L.) Races on Nectar-Rich Flow in a Subtropical Ecosystem

Mapping melliferous potential in productive honey areas through spatial tools: Towards a rationalization of beekeeping

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