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High Rates of Honey Bee Colony Losses and Regional Variability in Ethiopia Based on the Standardised COLOSS 2023 Survey

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06 May 2024

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08 May 2024

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Abstract
The COLOSS research association has been assessing honey bee colony losses, associated risk factors and management, focusing on Western countries but with a progressive international expansion. Here, we report the first survey on the loss rates of colonies in 2022/23 in Ethiopia using COLOSS monitoring survey tools. A face-to-face interview questionnaire survey was conducted on 64 beekeepers selected from Oromia and Tigray regions. This covered 1,713 honey bee colonies distributed in 68 apiaries. The percentages of colonies lost were significantly different between Oromia (24.1%) and Tigray (66.4%) regions. Colony losses were attributed as unsolvable queen problems (8% in Oromia; 10% in Tigray), natural disaster (32%; 82%), and empty hives or dead colonies (60%; 8%). The loss rate was significantly affected by queen replacement (p
Keywords: 
Subject: Biology and Life Sciences  -   Insect Science

1. Introduction

Following reports on high rates of colony losses and the recognition of colony collapse disorder [1,2], assessing colony losses, their driving factors and management strategies have been among major research agendas worldwide in the last decade. International survey reports from COLOSS showed overall annual loss rates of 16% to 20.9%, which greatly varied from 2% to about 36.5% between countries [3,4,5,6]. A recent study from the Bee Informed Partnership in the United States indicates up to 50.8% average loss rate of colonies [7]. The ectoparasite Varroa destructor is known as one of the biggest challenges causing colony losses [8,9,10,11]. However, some honey bee populations have been identified as tolerant against this pest and able to survive even without anti-varroa treatment [12,13,14,15]. Since the detection of varroa for the first time in northern Ethiopia’s Tigray region [16], several studies have been conducted on its distribution and prevalence in the country [17,18,19]. A national survey conducted in Ethiopia, which covered all regions except Tigray, showed a wide distribution and up to 95.8% prevalence in the country with a significant variation between regions [18]. The prevalence of varroa in Ethiopia was reported to be influenced by several factors including agroecology and management systems [19].
Other factors that cause honey bee colony losses include pesticides, natural disasters and climatic factors globally [4,20,21]. Recently, it has been discussed that climate change could significantly affect honey bees and beekeeping by causing extreme weather, flooding, wildfire, increased pest infestation and reduced forage availability [22,23]. Climate change affects vegetation distribution and the annual flowering calendar of plants which varies between habitat elevations [24]. This can directly affect survival and performance of honey bees as they depend on flowering plants. African honey bees are known for strong migratory behaviour following forage seasonality [25]. In northern Ethiopia, a high rate of annual fluctuation in the numbers of managed honey bee colonies has recently been reported. Colony selling and losses (including absconding, death and seasonal migration) were identified as the reasons of colony outflow in the areas, while purchase, trapping, splitting and swarming are the mechanisms of inflow [26]. Honey bee colonies are also valuable trading commodities in northern Ethiopia where beekeepers exchange colonies in central markets [27]. A high rate of mobility of honey bee colonies under the influence of anthropogenic activities such as colony marketing as well as natural circumstances (such as migratory behaviour, habitat fragmentation or rehabilitation) could exacerbate the distribution of varroa and other pests and pathogens [28]. Honey bee colony transportation across agroecological zones is a common practice in northern Ethiopia’s Tigray region [27,29].
Tigray region is known as one of the major beekeeping centres in Ethiopia, where there has been a pronounced transformation of beekeeping. Data from the Central Statistical Agency of Ethiopia [30] showed the management of more than 340,000 honey bee colonies in the region. Over the last two decades, the percentage of frame hives has grown from 1% to 23% and the number of managed colonies has increased by 90% [31]. However, in recent years, Ethiopia has been facing difficulties due to war, Covid-19, climate change and outbreaks of Desert locust [32,33,34]. In particular, the two-year war from November 2020 to November 2022 in Tigray region was reported to have wiped out decades of progress in all sectors [35,36,37,38]. Considering beekeeping specifically, 70% of the managed honey bee colonies were lost due to the war [39]. This loss may threaten both the livelihoods of the beekeepers and the overall ecosystem.
A survey conducted during the pre-war period in northern Ethiopia showed that there was no difference in colony loss rates based on the beekeeping system, beekeeping experience, number of colonies per household and local areas within Tigray [26]. This differs from international surveys which have reported that loss rates are significantly affected by scale of beekeeping operations, geographic location and climate, although Ethiopia was not included in these studies [3,4,5,6,20,21]. Therefore, this study was conducted to assess the loss rates in different regions using the COLOSS survey protocol for the first time. The hypothesis is that honey bee colony loss rate significantly varies between regions depending on the vulnerability to natural disasters, infestation and prevalence of varroa, and beekeeping practices, as reported by the international surveys. The alternative hypothesis would be that there is no difference in honey bee colony loss rates between different regions in Ethiopia, as previously found for different local areas within Tigray. The specific objectives of this survey were to assess honey bee colony loss rates in the Oromia and Tigray regions of Ethiopia and to evaluate the degree of association between honey bee colony losses with colony management practices (varroa monitoring, varroa treatment, colony splitting, feed supplementation, operation size, use of natural comb, and purchase of beeswax from external sources). The results are discussed with reference to regional and global figures for colony losses, based on the literature.

2. Materials and Methods

2.1. Study Regions and Description

This survey was conducted in Ethiopia, namely Oromia and Tigray Regional States (Figure 1). Tigray is predominantly a semi-arid region located in northern Ethiopia, which is known as a main beekeeping area in the country, and for its famous white honey [40], unique colony marketing system [29] and a rapid beekeeping transformation in the last two decades. In this region, Varroa destructor was detected in 2010 for the first time in Ethiopia [16]. From November 2020 to November 2022, the region was heavily devastated by war that has caused significant damage also to the beekeeping sector [39]. On the other hand, Oromia is the largest region in Ethiopia, connects with almost all regions and is largely located in the central, southern and western parts of the country. Likewise, Oromia hosts the largest number of honey bee colonies in the country [30].
Therefore, the survey was conducted in these two important beekeeping regions characterised by contrasting features of beekeeping, climate, vegetation etc.

2.2. Survey and Data Collection

For this study, 64 beekeepers who managed a total of 1,713 honey bee colonies during the survey year 2022/23 were purposefully selected based on accessibility. The colonies were distributed over 68 apiaries and 14 villages (locally called Kebelles) of the two regions (Table 1). Data collection was conducted by interviewing the beekeepers face-to-face using the standardised questionnaire of the COLOSS Colony Losses Monitoring Core Project. Therefore, the results are comparable to those from other countries using the same questionnaire, in particular the loss rates. Interviews were conducted by researchers who orally translated the questionnaires from English to local languages directly when asking the beekeepers. This data collection was performed during June 2023.

2.3. Statistical Analysis

Variables analysed and included in this paper are comprised of: 1) number of honey bee colonies managed (as a measure of beekeeping scale of operation), honey bee colony losses and loss rates; 2) beekeeping practices such as colony splitting, feed supplementation, queen replacement, and colony merging; 3) honey bee health, monitoring and pest management; 4) annual honey bee colony cycle and management calendar. These data were analysed and comparisons made between the Oromia and Tigray regions. As the number of colonies before winter and the number of colonies in spring 2022 and spring 2023 have very skewed distributions, medians are reported as well as means, and Mann-Whitney tests are used to compare the numbers in the two regions. Fisher’s exact test was used to compare the proportions of beekeepers giving each response to the management questions between regions.
Colony loss rates are reported as the overall proportion of colonies lost, with a 95% confidence interval, and also as the average rate of loss per beekeeper. Colony loss rates per beekeeper can be assumed to be normally distributed for Oromia (Anderson-Darling test, p>0.05), but not for Tigray (p<0.05). Therefore, colony loss rates were compared between the regions using the Mann-Whitney test.
Furthermore, correlation analyses were performed to assess the degree of associations between the different components of colony losses (queen problems, natural disaster, dead colonies, empty hives) and the numbers of colonies managed at different seasons of the survey year. Intercept-only quasibinomial generalised linear models (GLMs) were used to obtain confidence intervals for the proportional loss rates, and univariate and multivariate quasibinomial GLMs were used to assess the significance of risk factors for colony loss for both regions combined and also separately. The R software [41] and JMP Pro 16 [42] were used for the data analyses.

3. Results

3.1. Colony Management in Oromia and Tigray Regions

Table 2 shows a summary of descriptive results for the two studied regions and hypothesis tests comparing the regions. Beekeepers included in this study managed an average number of colonies of 27.00 and 9.03 in the Oromia and Tigray regions, respectively, in Spring 2022. These increased to about 42.10 and 12.36 colonies on average before winter 2023 and again declined to 30.58 and 5.24 in Spring 2023, respectively. Correlation analyses indicated that the number of colonies in Spring 2022 and Spring 2023 were strongly associated (Spearman correlation: r=0.9249, p<0.0001). Mann-Whitney tests showed that there were significantly higher numbers of honey bee colonies in the Oromia region than in Tigray region during both 2022 and 2023 years (p<0.001). A significantly higher proportion of beekeepers in Tigray monitored the status of varroa in their colonies (Figure 2). On the other hand, none of the beekeepers in Tigray applied any kind of colony treatment against varroa, whereas some beekeepers in Oromia applied the biotechnical method, trapping varroa mites mainly in drone brood combs and discarding them to reduce infestation without chemical treatment.
Moreover, a significantly higher number of beekeepers in Oromia use natural combs (p<0.0001) and are less dependent on externally purchased beeswax (p<0.01) compared to the situation in Tigray. Furthermore, there were significantly more frequent applications of improved husbandry practices such as merging of weak colonies (p<0.001), queen replacement (p<0.0001), feed supplementation (p<0.0001) and colony splitting (p<0.0001) in Oromia. On the other hand, all beekeepers in Oromia reported the detection of some bees with deformed wings compared to about 45.5% reporting some bees with deformed wings and 30.3% reporting many such bees in Tigray (p<0.0001). In contrast, most beekeepers in Tigray observed the presence of Vespa velutina in their apiaries, which differs from the situation in Oromia.
Furthermore, correlation analysis showed that the different components of colony losses (number of colonies lost due to queen problems, natural disaster, dead colonies or empty hives) are positively related to the numbers of colonies managed at different seasons of the survey year (Table 3).

3.2. Colony Loss Rates, Components of Loss and Risk Factors

The average annual colony loss rate in Tigray (68.33%) was far higher than that of Oromia (25.93%), and the levels of loss are significantly different between these two regions in northern and central Ethiopia during the survey year 2022/23 (Mann-Whitney test, p<0.0001). The loss rate varied from 0% to a maximum value of 56.67% in Oromia, whereas in Tigray it ranged from 0% to 100% (Figure 3). Among the colonies recorded as lost in Oromia were losses due to unsolvable queen problems (8% of lost colonies), natural disaster (32%), and those found as empty hives or dead colonies (60%). The same factors but with contrasting rates of loss were reported from Tigray as queen problems (10% of lost colonies), natural disaster (82%), and empty hives or dead colonies (8%). These differences could relate to the different factors influencing colony losses in the two regions of Ethiopia as presented in the following paragraphs. Furthermore, 97.0% of the sample beekeepers in Tigray reported that there was at least one absconding event in their apiary during the survey year compared to 67.7% in Oromia. These led to a significant difference in colony absconding between the regions (Fisher test, p<0.01).
The overall proportional loss rate for all beekeepers was 34.15% across both regions, which is calculated as the total number of colonies lost by all the beekeepers divided by the total number of colonies managed by all the beekeepers and expressed as a percentage (95% confidence interval (28.53%, 40.26%)). The overall proportions lost per region were 24.06% (95% CI 19.84%, 28.86%) for Oromia and 66.42% (95% CI 58.29%, 73.69%) for Tigray. These were significantly different between the two regions, p<0.0001 (Chi-squared test or F-test in a univariate quasibinomial model for the risk of colony loss).
To test the effect of various factors on the risk of colony loss, quasibinomial models were fitted. In the models for both regions combined, region, varroa treatment, presence of bees with deformed wings, use of foundationless combs, queen replacement, colony splitting, merging colonies, feed supplementation, and amount of sugar supplementation were individually highly significant predictors of the risk of colony loss. In a multivariable model, region and varroa treatment were still significant, but other variables were no longer significantly associated with colony loss. Therefore, the most important predictors of colony loss were region and varroa treatment (p<0.0001). In addition, models were fitted for the regions separately where there was more than one category of a factor observed in the data. For Oromia, presence of Vespa velutina and sugar supplementation were the only significant variables for predicting colony loss. Of these, only presence of Vespa velutina significantly affected loss rate when a multivariable model was considered, and is, therefore, the most significant predictor of colony loss in Oromia (p<0.01). For Tigray, none of the individual factors were significant in the fitted models, but use of foundationless combs and merging colonies were closest to significance. These results as a whole reflect differences between the regions. Consequently, colony loss rates were significantly different between the two regions (Figure 3).

3.3. Annual colony development and management calendar

To obtain more insights into the annual honey bee colony development and beekeeping activity calendar, we collected data on the major events and practices which occurred and were performed by the beekeepers during the survey year. The variables include adding supers to hives, merging weak colonies, colony absconding, queen replacement, honey harvesting, feed supplementation, colony splitting and swarming. The results are summarised in Figure 4 A and B for Oromia and Tigray regions, respectively.
In Tahtay Koraro district of Tigray region, where the survey was conducted, colonies start to develop in July and peak in September. This is followed by peak reproductive swarming and honey harvesting in October and November, respectively. After honey harvesting, about half of the beekeepers (51.5%) provide supplementary feed to their colonies in the dry months from January to May, whereas most of the beekeepers (97.0%) in this region faced at least one colony absconding event (Figure 4 B). The pattern of colony development and beekeeping calendar in the surveyed districts of Oromia region was different from the situation in the semi-arid areas of Tigray region. The survey showed that there is a two-cycle (double-peak) pattern of colony development, swarming, honey harvesting, and feeding in Oromia region (Figure 4 A). Another differentiating aspect is that all sampled beekeepers practised feed supplementation during the dearth periods in Oromia region, whereas 67.7% of them faced at least one absconding event in the year compared to the 97.0% reported above in Tigray region.

4. Discussion

Here, we discuss the results of our survey which was conducted in Oromia and Tigray regions of Ethiopia for the first time based on the COLOSS standardised questionnaire 2023, aiming to assess honey bee colony loss rates and driving factors with reference to regional and global reports. The discussion begins with the numbers of colonies managed per beekeeper and level of colony management as a background to the main topics of colony losses and its drivers in Ethiopia. This is followed by an overview of the annual colony development and management calendar.
We found higher numbers of colonies per beekeeper (apiary) in Spring 2023 in Oromia (mean=30.58) and Tigray (mean=5.24) compared to previously reported average estimates of 6 colonies per beekeeper for Ethiopia [43] and 2 colonies per beekeeper for Tigray [26]. It should be noted that the sampling in this survey was not random, but purposefully included well-known beekeepers and accessible apiaries such as those owned by the Oromia Apicultural Research Institute, due to limitations of logistics, time and funding. Some of the apiaries were found to implement improved beekeeping husbandry practices that are not common among the Ethiopian smallholder beekeepers. These include varroa monitoring (7.81% in Oromia; 32.81% in Tigray), varroa treatment (7.81%; 0.00%), queen replacement (29.69%; 0.00%), feed supplementation (48.44%; 26.56%), merging of weak colonies (32.81%; 9.38%) and colony splitting (40.63%; 7.81%); see Table 2 and Figure 2.
Apiaries managed in Oromia that are included in this survey applied more varroa control (biotechnical method), feed supplementation, merging and splitting (p<0.001) compared to those studied from Tigray. Moreover, a significantly higher number of the surveyed beekeepers in Oromia used natural combs (p<0.0001) and depended less on beeswax purchased from external suppliers (p<0.01) compared to the situation in Tigray (Table 2). On the other hand, most frame-hive beekeepers in Tigray depend on externally purchased beeswax supplied from other parts of Ethiopia where traditional beekeeping is still dominant and extraction of beeswax is practised. Exchanging honey bee products and colony transportation could negatively affect honey bee population structures and health [28,44,45]. Pests, pathogens and other stressors cause colony losses as observed by survey studies in different parts of the world [3,4,5,46,47,48]. On the other hand, application of improved beekeeping husbandry such as merging and supplementing weak colonies, replacing undesirable queens, monitoring and controlling of varroa enhances the performance, health and survival of colonies [49,50,51,52], and could reduce colony losses.
In this survey, the average loss rate of colonies in Tigray was markedly higher (68.33%) than in Oromia (25.93%). The proportional loss rate was also significantly higher in Tigray (66.42%) than in Oromia (24.06%). A previous study [26] showed that the colony loss rate in Tigray was lower (at 15.7% overall, and ranging from 9% to 19.5% between local areas) than the results in this survey and was similar when compared to international (overall proportional) loss rate figures of COLOSS reported as 16.4% to 20.9% [3,4,5]. This indicates that most of the colony losses in Tigray reported in the present study can be attributed to the disaster of the two-year war in the region, which agrees with recent reports that the Tigray war caused 70% honey bee colony losses [39] and reversed decades of ecosystem restoration [37,53], agricultural development [54,55] and livelihood improvement [34] efforts. These effects could lead to shortage of bee forage and increase rates of colony absconding.
Among the sample beekeepers, 97.0% of them in Tigray responded that they had experienced at least one colony absconding event in the surveyed year compared to 67.7% in Oromia (Figure 4). Honey bee colony absconding can be defined as seasonal migration of the colony following nest and/or habitat condition. In this behavioural adaptation, the colony abandons its old nest when there is shortage of forage, extreme weather, pest infestation and/or other disturbances [56,57,58]. Instead, the colony searches and re-establishes itself in a suitable environment. Therefore, absconding is one form of colony losses to beekeepers, although the colony may not be lost from the overall ecosystem. This is because the colony strives in another location and continues to provide the necessary ecosystem services no matter whether it may return to its original nest when the situation is better or may be trapped by another beekeeper’s bait hive. High rates of migratory and swarming behaviours in honey bees have been reported as the main coping mechanisms against pests such as varroa [59]. African honey bees are known for a high degree of migratory behaviour when the availability of floral resources is reduced [56], which could also be influenced by the local weather conditions and type of beehives [58] as well as management practices such as feed supplementation and merging of weak colonies. Therefore, colony loss rates vary with management intensity implemented by different scales of beekeeping operations, local weather, geographic location and season [3,4,5,6,20,21]. For example, in the COLOSS survey 2019/20, loss rates ranged from 7.4% in Norway to 36% in Spain, while large-scale beekeeping operations are less prone to the risk of colony losses compared to small-scale beekeepers managing fewer than 50 colonies [6]. However, this was not observed in a survey conducted in Mexico [48], which indicates the role of local/regional conditions.
Looking for annual variations in beekeeping across the regions, we observed a bimodal pattern of colony development and beekeeping calendar in the Oromia region of central and southern Ethiopia compared to a single peak of the development cycle and beekeeping activities in the Tigray region of northern Ethiopia (Figure 4). In the semi-arid areas of northern Ethiopia, colony development, honey production and swarming occur from August to November, while the dearth period characterised by high rates of colony absconding extends from December to July despite the availability of a few trees that bloom during the dry period. These are consistent with previous studies reported from Oromia [60,61] and Tigray [62]. It is well-known that honey bees mainly depend on the nectar and pollen produced by flowering plants which is shaped by the local climate [24]. Therefore, the floral calendar and nectar flow of an area govern the development of honey bees and the beekeeping activities. Thus, honey harvesting is possible multiple times in a year in the evergreen areas of southwest Ethiopia [60,61], while it is mainly limited to September to November in the arid and semi-arid areas of northern Ethiopia [62].
In conclusion, colony loss rates in this survey showed a significant variation between the two Ethiopian regions, where beekeepers in Tigray sustained a markedly higher loss rate, which we attribute as being due to the war and other factors, compared to the loss rate in Oromia region and also compared to the global figures reviewed. In addition, the colony loss rate was significantly affected by beekeeping practices and honey bee health management. Moreover, the number of colony losses recorded as resulting from queen problems, natural disaster, dead colonies or empty hives is positively correlated with the number of colonies managed. Furthermore, annual colony development and management calendar in the two regions showed different patterns, where the beekeeping seasons were bimodal with short dearth periods and monomodal with a long dearth period in Oromia and Tigray regions, respectively.

Supplementary Materials

Not applicable.

Author Contributions

Conceptualization, TGH and AG; Data curation, TG, ATA and KW; Formal analysis, TGH and AG; Investigation, ATA and KW; Methodology, TGH and AG; Project administration, TGH; Supervision, TGH; Visualization, TGH and AG; Writing – original draft, TGH and AG; Writing – review & editing, TGH, ATA, KW and AG. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

Additional data can be requested from the corresponding author.

Acknowledgements

The authors would like to thank all the beekeepers who responded to the questionnaires and are very grateful to Niguse Hagos for the study site map production using GIS tools. The authors also extend their appreciation to COLOSS as a whole and the Colony Losses Monitoring Core Project in particular for the survey tools and for providing a platform and opportunities for networking, knowledge exchange and collaboration.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Van Engelsdorp, D.; Evans, J.D.; Saegerman, C.; Mullin, C.; Haubruge, E.; Nguyen, B.K.; Frazier, M.; Frazier, J.; Cox-Foster, D.; Chen, Y.; et al. Colony Collapse Disorder: A Descriptive Study. PLoS One 2009, 4. [Google Scholar] [CrossRef] [PubMed]
  2. Ellis, J.D.; Evans, J.D.; Pettis, J. Colony Losses, Managed Colony Population Decline, and Colony Collapse Disorder in the United States. J Apic Res 2010, 49, 134–136. [Google Scholar] [CrossRef]
  3. Brodschneider, R.; Gray, A.; Adjlane, N.; Ballis, A.; Brusbardis, V.; Charrière, J.D.; Chlebo, R.; Coffey, M.F.; Dahle, B.; de Graaf, D.C.; et al. Multi-Country Loss Rates of Honey Bee Colonies during Winter 2016/2017 from the COLOSS Survey. J Apic Res 2018, 57, 452–457. [Google Scholar] [CrossRef]
  4. Gray, A.; Brodschneider, R.; Adjlane, N.; Ballis, A.; Brusbardis, V.; Charrière, J.D.; Chlebo, R.; F. Coffey, M.; Cornelissen, B.; Amaro da Costa, C.; et al. Loss Rates of Honey Bee Colonies during Winter 2017/18 in 36 Countries Participating in the COLOSS Survey, Including Effects of Forage Sources. J Apic Res 2019, 58, 479–485. [Google Scholar] [CrossRef]
  5. Gray, A.; Adjlane, N.; Arab, A.; Ballis, A.; Brusbardis, V.; Charrière, J.D.; Chlebo, R.; Coffey, M.F.; Cornelissen, B.; Amaro da Costa, C.; et al. Honey Bee Colony Winter Loss Rates for 35 Countries Participating in the COLOSS Survey for Winter 2018–2019, and the Effects of a New Queen on the Risk of Colony Winter Loss. J Apic Res 2020, 59, 744–751. [Google Scholar] [CrossRef]
  6. Gray, A.; Adjlane, N.; Arab, A.; Ballis, A.; Brusbardis, V.; Bugeja Douglas, A.; Cadahía, L.; Charrière, J.D.; Chlebo, R.; Coffey, M.F.; et al. Honey Bee Colony Loss Rates in 37 Countries Using the COLOSS Survey for Winter 2019–2020: The Combined Effects of Operation Size, Migration and Queen Replacement. J Apic Res 2023, 62, 204–210. [Google Scholar] [CrossRef]
  7. Aurell, D.; Bruckner, S.; Wilson, M.; Steinhauer, N.; Williams, G.R. A National Survey of Managed Honey Bee Colony Losses in the USA: Results from the Bee Informed Partnership for 2020–21 and 2021–22. J Apic Res 2024, 63, 1–14. [Google Scholar] [CrossRef]
  8. Rosenkranz, P.; Aumeier, P.; Ziegelmann, B. Biology and Control of Varroa destructor. J Invertebr Pathol 2010, 103, S96–S119. [Google Scholar] [CrossRef]
  9. Guzmán-Novoa, E.; Eccles, L.; Calvete, Y.; McGowan, J.; Kelly, P.G.; Correa-Benítez, A. Varroa destructor Is the Main Culprit for the Death and Reduced Populations of Overwintered Honey Bee (Apis mellifera) Colonies in Ontario, Canada. Apidologie 2010, 41, 443–450. [Google Scholar] [CrossRef]
  10. Noël, A.; Le Conte, Y.; Mondet, F. Varroa destructor: How Does It Harm Apis mellifera Honey Bees and What Can Be Done about It? Emerg Top Life Sci 2020, 4, 45–57. [Google Scholar] [CrossRef]
  11. Brodschneider, R.; Schlagbauer, J.; Arakelyan, I.; Ballis, A.; Brus, J.; Brusbardis, V.; Cadahía, L.; Charrière, J.D.; Chlebo, R.; Coffey, M.F.; et al. Spatial Clusters of Varroa destructor Control Strategies in Europe. J Pest Sci (2004) 2023, 96, 759–783. [Google Scholar] [CrossRef]
  12. Blacquière, T.; Boot, W.; Calis, J.; Moro, A.; Neumann, P.; Panziera, D. Darwinian Black Box Selection for Resistance to Settled Invasive Varroa destructor Parasites in Honey Bees. Biol Invasions 2019, 21, 2519–2528. [Google Scholar] [CrossRef]
  13. Martin, S.J.; Hawkins, G.P.; Brettell, L.E.; Reece, N.; Correia-Oliveira, M.E.; Allsopp, M.H. Varroa destructor Reproduction and Cell Re-Capping in Mite-Resistant Apis mellifera Populations. Apidologie 2020, 51, 369–381. [Google Scholar] [CrossRef]
  14. Mondet, F.; Beaurepaire, A.; McAfee, A.; Locke, B.; Alaux, C.; Blanchard, S.; Danka, B.; Le Conte, Y. Honey Bee Survival Mechanisms against the Parasite Varroa destructor: A Systematic Review of Phenotypic and Genomic Research Efforts. Int J Parasitol 2020, 50, 433–447. [Google Scholar] [CrossRef] [PubMed]
  15. Luis, A.R.; Grindrod, I.; Webb, G.; Piñeiro, A.P.; Martin, S.J. Recapping and Mite Removal Behaviour in Cuba: Home to the World’s Largest Population of Varroa-Resistant European Honeybees. Sci Rep 2022, 12. [Google Scholar] [CrossRef] [PubMed]
  16. Begna, D. Occurrences and Distributions of Honeybee (Apis mellifera) Varroa Mite (Varroa destructor) in Tigray Region, Ethiopia. Journal of Fisheries & Livestock Production 2014, 03. [Google Scholar] [CrossRef]
  17. Shegaw, T.; Arke, A.; Belay, N.; Habte Giorgis, D. Diagnostic Survey on Varroa Mite (Varroa destructor) Prevalence in South-Western Ethiopia. Cogent Food Agric 2022, 8. [Google Scholar] [CrossRef]
  18. Gela, A.; Atickem, A.; Bezabeh, A.; Woldehawariat, Y.; Gebresilassie, A. Insights into Varroa Mite (Varroa destructor) Infestation Levels in Local Honeybee (Apis mellifera) Colonies of Ethiopia. Journal of Applied Entomology 2023, 147. [Google Scholar] [CrossRef]
  19. Robi, D.T.; Temteme, S.; Aleme, M.; Bogale, A.; Getachew, A.; Mendesil, E. Epidemiology, Factors Influencing Prevalence and Level of Varroosis Infestation (Varroa destructor) in Honeybee (Apis mellifera) Colonies in Different Agroecologies of Southwest Ethiopia. Parasite Epidemiol Control 2023, 23. [Google Scholar] [CrossRef] [PubMed]
  20. Overturf, K.A.; Steinhauer, N.; Molinari, R.; Wilson, M.E.; Watt, A.C.; Cross, R.M.; Williams, G.R.; Rogers, R. Winter Weather Predicts Honey Bee Colony Loss at the National Scale. Ecol Indic 2022, 145, 109709. [Google Scholar] [CrossRef]
  21. Insolia, L.; Molinari, R.; Rogers, S.R.; Williams, G.R.; Chiaromonte, F.; Calovi, M. Honey Bee Colony Loss Linked to Parasites, Pesticides and Extreme Weather across the United States. Sci Rep 2022, 12, 20787. [Google Scholar] [CrossRef]
  22. Landaverde, R.; Rodriguez, M.T.; Parrella, J.A. Honey Production and Climate Change: Beekeepers’ Perceptions, Farm Adaptation Strategies, and Information Needs. Insects 2023, 14. [Google Scholar] [CrossRef]
  23. Neumann, P.; Straub, L. Beekeeping under Climate Change. J Apic Res 2023, 62, 963–968. [Google Scholar] [CrossRef]
  24. Rafferty, N.E.; Diez, J.M.; Bertelsen, C.D. Changing Climate Drives Divergent and Nonlinear Shifts in Flowering Phenology across Elevations. Current Biology 2020, 30, 432–441.e3. [Google Scholar] [CrossRef]
  25. McNally, L.C.; Schneider, S.S. Seasonal Cycles of Growth, Development and Movement of the African Honey Bee, Apis mellifera scutellata, in Africa. Ins. Soc. 1992, 39, 167–179. [Google Scholar] [CrossRef]
  26. Hailu, T.G.; Wakjira, K.; Gray, A. Honey Bee Colony Population Annual Dynamics in Northern Ethiopia’s Semi-Arid Region, Tigray. J Apic Res 2024. [Google Scholar] [CrossRef]
  27. Gebretinsae, T.; Tesfay, Y. Honeybee Colony Marketing and Its Implications for Queen Rearing and Beekeeping Development in Tigray, Ethiopia. Int J Livestock Production 2014, 5, 117–128. [Google Scholar] [CrossRef]
  28. Jara, L.; Ruiz, C.; Martín-Hernández, R.; Muñoz, I.; Higes, M.; Serrano, J.; De la Rúa, P. The Effect of Migratory Beekeeping on the Infestation Rate of Parasites in Honey Bee (Apis mellifera) Colonies and on Their Genetic Variability. Microorganisms 2021, 9, 1–18. [Google Scholar] [CrossRef]
  29. Adgaba, N. Selling Honeybee Colonies as a Source of Income for Subsistence Beekeepers. Bees for Development 2002, 64. [Google Scholar]
  30. Central Statistical Agency (CSA) Agricultural Sample Survey 2017/18 [2010 E.C.]: Report on Livestock and Livestock Characteristics; Addis Ababa, 2018; Vol. II.
  31. Hailu, T.G.; Chagunda, M.; Rosenkranz, P. Sustainable Development Outlooks to Subsistent Apiculture in a Transition: The Case of Ethiopia. J Apic Res 2023, 62, 730–740. [Google Scholar] [CrossRef]
  32. Bahadur Poudel, P.; Ram Poudel, M.; Gautam, A.; Phuyal, S.; Krishna Tiwari, C.; Bashyal, N.; Bashyal, S. COVID-19 and Its Global Impact on Food and Agriculture. J Biol Today’s World 2020, 9, 221. [Google Scholar]
  33. Kassegn, A.; Endris, E. Review on Socio-Economic Impacts of ‘Triple Threats’ of COVID-19, Desert Locusts, and Floods in East Africa: Evidence from Ethiopia. Cogent Soc Sci 2021, 7. [Google Scholar] [CrossRef]
  34. World Peace Foundation Report 2021, Starving Tigray. World Peace Foundation, Somerville, MA.
  35. Demissie, B.; Nyssen, J.; Annys, S.; Negash, E.; Gebrehiwet, T.; Abay, F.; Wolff, E. Geospatial Solutions for Evaluating the Impact of the Tigray Conflict on Farming. Acta Geophysica 2022, 70, 1285–1299. [Google Scholar] [CrossRef]
  36. Gesesew, H.; Berhane, K.; Siraj, E.S.; Siraj, D.; Gebregziabher, M.; Gebre, Y.G.; Gebreslassie, S.A.; Amdes, F.; Tesema, A.G.; Siraj, A.; et al. The Impact of War on the Health System of the Tigray Region in Ethiopia: An Assessment. BMJ Glob Health 2021, 6. [Google Scholar] [CrossRef] [PubMed]
  37. Gebrekirstos, A.; Birhane, E. The War on Tigray Wiped out Decades of Environmental Progress: How to Start Again 2023. The Conversation, April 2.
  38. Tekulu, F.B.; Asgedom, D.B.; Gebre, H.T.; Desta, G.M.; Shifare, T.H.; Hadigu, T.B. The Effect of War on Educational Institutions of Eastern Tigray Zone, Tigray State, Ethiopia. Research Square, preprint, 2023. [Google Scholar] [CrossRef]
  39. Ngussie, H.G.; Hailu, T.G. Tigray War Put Honey Bees in Peril. Bee World 2023, 100, 51–55. [Google Scholar] [CrossRef]
  40. Lewoyehu, M.; Amare, M. Comparative Assessment on Selected Physicochemical Parameters and Antioxidant and Antimicrobial Activities of Honey Samples from Selected Districts of the Amhara and Tigray Regions, Ethiopia. Int J Food Sci 2019, 2019. [Google Scholar] [CrossRef] [PubMed]
  41. R Core Team 2020. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/.
  42. JMP®, Version Pro 16. SAS Institute Inc., Cary, NC. 1989–2023.
  43. Gratzer, K.; Wakjira, K.; Fiedler, S.; Brodschneider, R. Challenges and Perspectives for Beekeeping in Ethiopia. A Review. Agron. Sustain. Dev 2021, 41. [Google Scholar] [CrossRef]
  44. Kükrer, M.; Kence, M.; Kence, A. Honey Bee Diversity Is Swayed by Migratory Beekeeping and Trade Despite Conservation Practices: Genetic Evidence for the Impact of Anthropogenic Factors on Population Structure. Front Ecol Evol 2021, 9. [Google Scholar] [CrossRef]
  45. Cánovas, F.; De La Rúa, P.; Serrano, J.; Galián, J. Microsatellite Variability Reveals Beekeeping Influences on Iberian Honeybee Populations. Apidologie 2011, 42, 235–251. [Google Scholar] [CrossRef]
  46. Melicher, D.; Wilson, E.S.; Bowsher, J.H.; Peterson, S.S.; Yocum, G.D.; Rinehart, J.P. Long-Distance Transportation Causes Temperature Stress in the Honey Bee, Apis mellifera (Hymenoptera: Apidae). Environ Entomol 2019, 48, 691–701. [Google Scholar] [CrossRef]
  47. Simone-Finstrom, M.; Strand, M.K.; Tarpy, D.R.; Rueppell, O. Impact of Honey Bee Migratory Management on Pathogen Loads and Immune Gene Expression Is Affected by Complex Interactions with Environment, Worker Life History, and Season. Journal of Insect Science 2022, 22. [Google Scholar] [CrossRef] [PubMed]
  48. Medina-Flores, C.A.; López-Carlos, M.; Carrillo-Muro, O.; Gray, A. Honey Bee Colony Losses in Mexico’s Semi-Arid High Plateau for the Winters 2016–2017 to 2021–2022. Insects 2023, 14. [Google Scholar] [CrossRef] [PubMed]
  49. Akyol, E.; Yeninar, H.; Korkmaz, A.; Çakmak, I. An Observation Study on the Effects of Queen Age on Some Characteristics of Honey Bee Colonies. Ital J Anim Sci 2008, 7, 19–25. [Google Scholar] [CrossRef]
  50. Lodesani, M.; Costa, C.; Besana, A.; Dall’Olio, R.; Franceschetti, S.; Tesoriero, D.; Vaccari, G. Impact of Control Strategies for Varroa destructor on Colony Survival and Health in Northern and Central Regions of Italy. J Apic Res 2014, 53, 155–164. [Google Scholar] [CrossRef]
  51. Mortensen, A.N.; Jack, C.J.; Bustamante, T.A.; Schmehl, D.R.; Ellis, J.D. Effects of Supplemental Pollen Feeding on Honey Bee (Hymenoptera: Apidae) Colony Strength and Nosema Spp. Infection. J Econ Entomol 2019, 112, 60–66. [Google Scholar] [CrossRef] [PubMed]
  52. Gregorc, A. Monitoring of Honey Bee Colony Losses: A Special Issue. Diversity (Basel) 2020, 12, 403. [Google Scholar] [CrossRef]
  53. Negash, E.; Birhane, E.; Gebrekirstos, A.; Gebremedhin, M.A.; Annys, S.; Rannestad, M.M.; Berhe, D.H.; Sisay, A.; Alemayehu, T.; Berhane, T.; et al. Remote Sensing Reveals How Armed Conflict Regressed Woody Vegetation Cover and Ecosystem Restoration Efforts in Tigray, Ethiopia. Science of Remote Sensing 2023, 100108. [Google Scholar] [CrossRef]
  54. Manaye, A.; Afewerk, A.; Manjur, B.; Solomon, N. The Effect of the War on Smallholder Agriculture in Tigray, Northern Ethiopia. Cogent Food Agric 2023, 9. [Google Scholar] [CrossRef]
  55. Nyssen, J.; Negash, E.; Van Schaeybroeck, B.; Haegeman, K.; Annys, S. Crop Cultivation at Wartime–Plight and Resilience of Tigray’s Agrarian Society (North Ethiopia). Defence and Peace Economics 2023, 34, 618–645. [Google Scholar] [CrossRef]
  56. Schneider, S.S.; McNally, L.C. Factors Influencing Seasonal Absconding in Colonies of the African Honey Bee, Apis mellifera scutellata. Insectes. Soc 1992, 39, 403–423. [Google Scholar] [CrossRef]
  57. Spiewok, S.; Neumann, P.; Hepburn, H.R. Preparation for Disturbance-Induced Absconding of Cape Honeybee Colonies (Apis mellifera capensis Esch.). Insectes Soc 2006, 53, 27–31. [Google Scholar] [CrossRef]
  58. McMenamin, A.; Mumoki, F.; Frazier, M.; Kilonzo, J.; Mweu, B.; Baumgarten, T.; Patch, H.; Torto, B.; Masiga, D.; Tumlinson, J.; et al. The Impact of Hive Type on the Behavior and Health of Honey Bee Colonies (Apis mellifera) in Kenya. Apidologie 2017, 48, 703–715. [Google Scholar] [CrossRef]
  59. Loftus, J.C.; Smith, M.L.; Seeley, T.D. How Honey Bee Colonies Survive in the Wild: Testing the Importance of Small Nests and Frequent Swarming. PLoS One 2016, 11, e0150362. [Google Scholar] [CrossRef] [PubMed]
  60. Tesfaye, O.; Mekonnen, E. Floral Calendar of Honeybee Plants in Kellem and West Wollega Zone, Western Ethiopia. International Journal of Forestry Research 2023, 2797159. [Google Scholar] [CrossRef]
  61. Bareke, T.; Roba, K.; Addi, A. Identification and Establishing Floral Calendar in Jimma Zone of Oromia Ethiopia. Journal of Global Ecology and Environment 2023, 19, 48–61. [Google Scholar] [CrossRef]
  62. Gebremedhn, H.; Tesfay, Z.; Murutse, G.; Estifanos, A. Seasonal Honeybee Forage Availability, Swarming, Absconding and Honey Harvesting in Debrekidan and Begasheka Watersheds of Tigray, Northern Ethiopia. Livestock Research for Rural Development 2013, 25, 61. [Google Scholar]
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Figure 1. Location map of surveyed districts in Oromia and Tigray Regional States of Ethiopia in 2023.
Figure 1. Location map of surveyed districts in Oromia and Tigray Regional States of Ethiopia in 2023.
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Figure 2. Varroa monitoring (A, left) and treatment (B, right) in Oromia and Tigray regions of Ethiopia during 2022/23 Colony Losses Monitoring Core Project survey year of COLOSS.
Figure 2. Varroa monitoring (A, left) and treatment (B, right) in Oromia and Tigray regions of Ethiopia during 2022/23 Colony Losses Monitoring Core Project survey year of COLOSS.
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Figure 3. Colony loss rates (%) in Oromia and Tigray regions of Ethiopia showing a markedly higher level of loss of colonies in Tigray compared to Oromia (Mann-Whitney test, p<0.0001) based on the 2023 survey following the 2020-2022 war in northern Ethiopia.
Figure 3. Colony loss rates (%) in Oromia and Tigray regions of Ethiopia showing a markedly higher level of loss of colonies in Tigray compared to Oromia (Mann-Whitney test, p<0.0001) based on the 2023 survey following the 2020-2022 war in northern Ethiopia.
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Figure 4. Annual honey bee colony cycle and beekeeping calendar in Oromia (A) and Tigray (B) regions of Ethiopia, northeast Africa. The plots show bimodal and monomodal patterns of colony development and the beekeeping calendar in Oromia and Tigray regions, respectively, which reflect two beekeeping seasons in Oromia and one season in Tigray annually. The numbers shown in the circles on the graphs indicate the frequency of beekeepers reporting that the specified events/activities occurred/were performed in the regions during each month of the survey year 2022/23 of the Colony Losses Monitoring Core Project.
Figure 4. Annual honey bee colony cycle and beekeeping calendar in Oromia (A) and Tigray (B) regions of Ethiopia, northeast Africa. The plots show bimodal and monomodal patterns of colony development and the beekeeping calendar in Oromia and Tigray regions, respectively, which reflect two beekeeping seasons in Oromia and one season in Tigray annually. The numbers shown in the circles on the graphs indicate the frequency of beekeepers reporting that the specified events/activities occurred/were performed in the regions during each month of the survey year 2022/23 of the Colony Losses Monitoring Core Project.
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Table 1. Sample regions, local areas (Kebelles), and numbers of apiaries, beekeepers and colonies surveyed in Ethiopia using the COLOSS questionnaire tool, version 2023.
Table 1. Sample regions, local areas (Kebelles), and numbers of apiaries, beekeepers and colonies surveyed in Ethiopia using the COLOSS questionnaire tool, version 2023.
Description Regional State Total
Oromia Tigray
No. of Kebelles 10 4 14
No. of Beekeepers 31 33 64
No. of Apiaries 35 33 68
No of Honey bee colonies 1,305 408 1,713
Average no. of Colonies per apiary 42.10 12.36 26.77
Table 2. Beekeeping and colony management in Oromia and Tigray regions, including tests of a difference between regions.
Table 2. Beekeeping and colony management in Oromia and Tigray regions, including tests of a difference between regions.

Variables
Oromia
Tigray 		Test of difference
Method P-value
Colonies per beekeeper in spring 2022
  • Mean
  • Median
  • Range
27.00
17.00
7-125
9.03
6.00
2-47
Mann-Whitney test
p<0.001
Colonies per beekeeper before winter 2023
  • Mean
  • Median
  • Range
42.10
27.00
10-200
12.36
8.00
2-60
Mann-Whitney test
p<0.001
Colonies per beekeeper in spring 2023
  • Mean
  • Median
  • Range
30.58
16.00
5-160		 5.24
3.00
0-37
Mann-Whitney test
p<0.001
Monitoring Varroa destructor (frequency; % of total sample beekeepers)
  • Yes
  • No
  • Not applicable
5; 7.81
26; 40.63
0; 0.00
21; 32.81
10; 15.63
2; 3.13
Fisher’s test
p<0.0001
Treating against V. destructor (frequency; % of total sample beekeepers)
  • Yes
  • No
  • Not applicable
5; 7.81
3; 4.69
23; 35.94
0; 0.00
32; 50.00
1; 1.56
Fisher’s test
p<0.0001
Bees with deformed wings (frequency; % of total sample beekeepers)
  • None
  • Some
  • Many
  • Don’t know
0; 0.00
31; 48.44
0; 0.00
0; 0.00
7; 10.94
15; 23.44
10; 15.63
1; 1.56
Fisher’s test
p<0.0001
Use of natural comb (frequency; % of total sample beekeepers)
  • Yes
  • No
31; 48.44
0; 0.00
14; 21.88
19; 29.69
Fisher’s test
p<0.0001
Purchase of external wax (frequency; % of total sample beekeepers)
  • Yes
  • No
18; 28.13
13; 20.31
30; 46.88
3; 4.69
Fisher’s test
p<0.01
Presence of Vespa velutina (frequency; % of total sample beekeepers)
  • Yes
  • No
  • Don’t know
8; 12.50
13; 20.31
10; 15.63
29; 45.31
4; 6.25
0; 0.00
Fisher’s test
p<0.0001
Colony merging (frequency; % of total sample beekeepers)
  • Yes
  • No
21; 32.81
10; 15.63
6; 9.38
27; 42.19
Fisher’s test
p<0.001
Colony splitting (frequency; % of total sample beekeepers)
  • Yes
  • No
26; 40.63
5; 7.81
5; 7.81
28; 43.75
Fisher’s test
p<0.0001
Feed supplementation (frequency; % of total sample beekeepers)
  • Yes
  • No
31; 48.44
0; 0.00
17; 26.56
16; 25.00
Fisher’s test
p<0.0001
Queen replacement (frequency; % of total sample beekeepers)
  • Yes
  • No
19; 29.69
12; 18.75
0; 0.00
33; 51.56
Fisher’s test
p<0.0001
Table 3. Spearman correlations between numbers of colonies managed at different times, loss rates and loss components in Ethiopia.
Table 3. Spearman correlations between numbers of colonies managed at different times, loss rates and loss components in Ethiopia.
#Colonies before winter #Colony loss due to queen problems #Colony loss due to natural disaster #Empty hive or dead colonies #Colonies in spring 2022
#Colony loss due to queen problems 0.1353
#Colony loss due to natural disaster 0.2777 0.4102
#Empty hive or dead colonies 0.6773 0.1340 0.0558
#Colonies in spring 2022 0.9228 0.0421 0.2798 0.5245
#Colonies in spring 2023 0.9336 0.0105 0.1087 0.5783 0.9249
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