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Beekeeping is essential for the global food supply, yet honeybee health and hive numbers are increasingly threatened by habitat alteration, climate change, agrochemical overuse, pathogens, diseases, and insect pests. However, pests and diseases that have unknown spatial distribution and influences are blamed for diminishing honeybee colonies over the world. The greater wax moth (GWM), Galleria mellonella, is a pervasive pest of the honeybee, Apis mellifera. It has an international distribution that causes severe loss to the beekeeping industry. The GWM larvae burrow into the edge of unsealed cells that have pollen, bee brood, and honey through to the midrib of the wax comb. Burrowing larvae leave behind masses of webs that cause honey to leak out and entangle emerging bees, resulting in death by starvation, a phenomenon called galleriasis. In this study, the maximum entropy algorithm implemented in (Maxent) model was used to predict the global spatial distribution of GWM throughout the world. Two representative concentration pathways (RCPs) 2.6 and 8.5 of three global climate models (GCMs), were used to forecast the global distribution of GWM in 2050 and 2070. The Maxent models for GWM provided a high value of the Area Under Curve equal to 0.8 ± 0.001, which was a satisfactory result. Furthermore, True Skilled Statistics assured the perfection of the resultant models with a value equal to 0.7. These values indicated a significant correlation between the models and the ecology of the pest species. The models also showed a very high habitat suitability for the GWM in hot-spot honey exporting and importing countries. Furthermore, we extrapolated the economic impact of such pests in both feral and wild honeybee populations and consequently the global market of the honeybee industry.

Some beetle species can attack honeybee colonies, causing severe damage to beekeeping. These pests include Oplostomus fuligineus, which is also known as the Large Hive Beetle (LHB). This beetle is native to Sub-Saharan Africa and has recently also been recorded in some parts of North Africa. It feeds mainly on young bee larvae and stored food within the colonies, causing severe damage to weak colonies. The present work sheds light on the current and future distribution (from 2050 to 2070) of this beetle in Africa and South Europe using species distribution modeling. Maxent was used to model the invasion of LHB. The Shared Socioeconomic Pathways (SSPs) 126 and 585 were used to model the future distribution of LHB. The Maxent models showed satisfactory results with a high Area Under Curve (AUC) value (0.85 ± 0.02). Furthermore, the True Skill Statistics (TSS) value was equal to 0.87. The current and future maps showed a high risk of invasion because of temperature variation in most of the parts of North Africa and South Europe. The maps also predicted the future invasion of LHB into other countries, mainly through southern Europe. These predictive risk maps will help quarantine authorities in highly relevant countries to prevent the expansion of this pest outside of its natural range.

Honey bees have good thermoregulation and rapidly respond to any changes in the microclimatic conditions of their colonies. However, colony losses can occur during very cold or hot months. Honey bee colonies are often kept in modified beehives during such times to save the honey bees lives. In the present study, the abilities of four beehive types to enhance the performance of two honey bee races (Carniolan and Yemeni honey bees) were compared under hot and arid environmental conditions. The results indicated performance differences between the two races and between the selected beehive types. For the Carniolan honey bees, better results were obtained in colonies provided with insulated cover boxes (ICB) than in thermoregulatory beehives (TBH), insulated beehives with a back drawer (IBD), and normal beehives (NB) in that order. In contrast, better Yemeni honey bee results were obtained in the TBH, followed by ICB, NB, and finally IBD. Maintaining honey bees in a suitable beehive type is a promising method for saving honey bees lives and enhancing their performance under harsh environmental conditions.

Beekeepers usually supply their colonies with alternatives to nectar (i.e. sugar feeding) during dearth periods of the year, especially cold times of winter. The objective of the study was to determine the best substances to feed bees to enhance the tolerance and survival of honey bees (Apis mellifera L.) to low temperatures. Seven feeding choices were compared under laboratory conditions. These feeding choices were: sugar syrup, liquid honey, creamed honey, honey candy, sugar candy, honey jelly, and honey/sugarcane juice jelly. The results showed that the number of bees attracted to each feeding choice was influenced significantly by feeding type. Worker bees were attracted to all feeding choices and showed a high preference to creamed honey, honey jelly or honey/juice jelly. The tolerance of honey bees to low temperature was enhanced when bees were fed on creamed honey, sugar syrup or honey candy. The mean time at which 50% of bees were able to survive ranged from 3 days (unfed bees) to 15.8 days (honey candy group). The survival rate of worker bees was highest when they fed on honey candy, creamed honey or sugar candy. In light of this study, creamed honey or honey candy can be considered the best feeding choices for bee colonies during winter to enhance their survival and tolerance to low temperatures.