Skip to main content
NCBI home page
Saudi Journal of Biological Sciences logoLink to Saudi Journal of Biological Sciences
. 2021 Jun 10;28(10):5667–5673. doi: 10.1016/j.sjbs.2021.06.012

Modeling the potential distribution of the predator of honey bees, Palarus latifrons, in the Arabian deserts using Maxent and GIS

Areej A Al-Khalaf 1
PMCID: PMC8459062  PMID: 34588878

Abstract

Objectives

The species Palarus latifrons (bee pirates) has been recorded in Saudi Arabia as an invasive species. This pest can destroy honey bee colonies under certain conditions. The origin of this species in Africa and it has a good ability to adapt to desert conditions. Studies on this species are very few but its current distribution in the Arabian deserts is mainly in the Arabian Gulf countries. This study presents maps for the possible expansion of this species to invade other desert areas in the Arabian countries’ under current and near-future conditions (2030).

Methods

This pest is a solitary insect with high activity during summer. It is hypothesized that summer conditions and especially temperature are the limiting factor for its distribution in the deserts. The analysis depended on generating maps based on temperatures during summer and based on two bioclimatic factors. Maxent and the geographical information system (GIS) were used to perform the analysis.

Results and conclusions

All maps showed the high ability of this pest to spread in the Gulf countries. In North Africa: south Egypt and Libya, and some parts of Algeria showed suitability for Palarus. The invasion of this pest towards North Africa can happen mostly due to trading activities with Gulf countries especially materials containing soil. Continues monitoring for the activity of Palarus in the risk areas is highly advised.

Keywords: Climate, Distribution, Beekeeping, Pests, Honey bees

1. Introduction

Several honey bee, Apis mellifera L., pests have been recorded in various parts of the world. Some of these pests have a specific geographical range including the large hive beetles in Africa (Oldroyd and Allsopp, 2017), and the parasitic flies Senotainia tricuspis in the Mediterranean region (Haddad et al., 2015). Part of such pests have succeeded to invade new regions outside their original areas such as small hive beetles from Africa to other countries including the USA (Neumann et al., 2016), the Asian hornets, Vespa velutina from Asia to some European countries (Haxaire et al., 2006, López et al., 2011, Grosso-Silva and Maia, 2012, Demichelis et al., 2014, Monceau et al., 2014), and bee pirates especially Palarus latifrons Kohl from Africa to Saudi Arabia (Al-Ghamdi, 2004). In general, genus Palarus occurs in different regions including Europe (Gayubo et al., 1992, Nemkov, 2005). This specific species of bee pirates is originally from Africa (Mally, 1908, Brauns, 1912, Mungai et al., 2009) including Sudan (El-Niweiri and Satti, 2008) but it has been recorded in Saudi Arabia. During a survey in 1989, P. latifrons, was found in Jizan, Al-Qunfudaha, Thahma, and Jeddah (Al-Ghamdi, 2004) and have been confirmed in Saudi Arabia in other studies (Gadallah and Assery, 2004, Gadallah et al., 2013). It seems that this species has adapted to harsh desert conditions. So, it is expected that this species will invade new areas in the Gulf countries and North Africa. Indeed, the Arabian countries contain vast desert areas with specific environmental conditions.

The bee pirates, P. latifrons, attack bee colonies to prey upon adult honey bee workers (Mally, 1908, A-Ghamdi, 2004). High numbers of P. latifrons can be found in front of beehives (Clauss, 1983). The presence of bee pirates close to the hives prevents the normal foraging activity of honey bees (Mally, 1908, Guy, 1972, Mungai et al., 2009). The damage to bee colonies is mostly high during summer when high numbers of this pest have existed. The females carry the bee workers to their nests to feed their larvae. This pest belongs to digger wasps and typically dig burrows in the soil especially sandy soils (Mally, 1908, Smith, 1961). The activity of Palarus extends from spring up to autumn, but the highest activity is during the summer. Therefore, it could be said that summer conditions at deserts are a limiting factor for the activity and distribution of this pest. Indeed, the temperature is highly varied from one desert location to another. So, maps based on temperatures are expected to be effective methods to evaluate the potential distribution of this pest under different climatic conditions.

The spread of some species and pests from Gulf countries to north Africa or vice versa is possible; especially through Egypt thanks to its geographical location between Africa and Asia. A good example of the spread of an invasive species from Gulf countries to Africa is the invasion of the dwarf honey bees, Apis florea, to Egypt. This bee species is adapted to harsh conditions in the Gulf countries (Al-Kahtani and Taha, 2014, Taha et al., 2016) unlike the environmental conditions in its locations in other Asian countries (Ruttner, 1988, Rinderer et al., 1995, Otis, 1996, Hepburn and Radloff, 2011, Ilyasov et al., 2020). Recently, it has been recorded in some parts of Egypt (Shebl, 2017).

Understanding species distribution in different geographical regions can be achieved using species distribution software such as Maxent beside geographical information system (GIS) (Abou-Shaara, 2019, Hosni et al., 2020, Jamal et al., 2021). Indeed, various environmental variables for current and future conditions have existed on the Worldclim website which is a good online source (Hijmans et al. 2005). It is anticipated that species distribution and beekeeping will be impacted by future conditions especially temperature (Le Conte and Navajas, 2008, Yoruk and Sahinler, 2013, Abou-Shaara, 2016, Jamal et al., 2021). The objective of this study was to analyze the potential spread of bee pirates (P. latifrons from Saudi Arabia) in the Arabian deserts undercurrent and near-future conditions using distribution maps utilizing Maxent and GIS.

2. Materials and methods

2.1. Occurrence of bee pirates in Saudi Arabia

The data about the occurrence of bee pirates (Palarus latifrons) in the Arabian deserts are only available from Saudi Arabia. Therefore, the locations of the occurrence records were assigned based on previous publications (Al-Ghamdi, 2004). Fig. 1 shows the Arabian deserts in the Gulf countries and North Africa and the locations of the 39 records in Saudi Arabia.

Fig. 1.

Fig. 1

Open in a new tab

The Arabian deserts, and the locations (*) for the occurrence records of Palarus latifrons in Saudi Arabia (Google Erath map).

2.2. Summer conditions

The climate website of worldclim.org (WorldClim version 2.1 climate data, released January 2020) was used to obtain the environmental variables. The temperature during summer (period from June to August) is a limiting factor for the activity of bee pirates in the deserts. Also, these factors varied greatly from one desert area to another. Therefore, minimum, average, and maximum temperature datasets for June, July, and August were used in the analysis. These environmental datasets were downloaded for current conditions and near-future conditions (from 2021 to 2040, the average for 2030) with about 5 km2 as a spatial resolution. The future datasets were downloaded from downscaled climate data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for the climate model of BCC-CSM2-MR using Shared Socio-economic Pathway 245 (ssp245).

2.3. Bioclimatic variables

Two variables related to summer conditions in the deserts: Maximum temperature of the warmest month (MTWM), and mean temperature of the warmest quarter (MTWQ) were downloaded for current and near-future conditions from worldclim.org as described previously.

2.4. Steps of the analysis

Maps were established for minimum, average, and maximum temperatures during June, July, and August using Maxent v 3.4.1 (Phillips et al., 2020;). Then, the obtained maps were combined using GIS 10.5 to obtain one map as an average for current conditions, and another map for future conditions (using raster calculator tool). The same steps were used with the two bioclimatic variables. The general steps of the analysis are shown in Fig. 2. The Maxent run was done using cumulative as output considering 25% of the data as test data. The map legend was classified in the ArcGIS 10.5 into four distinct classes: Very low (0–10), Low (10–20), Suitable (20–50), and High Suitable (50–100). The cumulative output of maxent considers value more than 20 as suitable (Phillips, 2017).

Fig. 2.

Fig. 2

Open in a new tab

Steps used to obtain species distribution maps using Maxent and GIS. These steps were used to obtain maps for current and near future conditions. MTWM: Maximum temperature of the warmest month, and MTWQ: Mean temperature of the warmest quarter.

2.5. Evaluation

The contribution of each dataset in the obtained maps was calculated and presented. Also, the performance of the model was evaluated using the area under the curve (DeLong et al., 1988) for monthly datasets from the jackknife test and test/training data from the receiver operating characteristic curve of the model maps.

3. Results

3.1. Current distribution

The dataset of June had the highest contribution in all maps (Table 1). The contribution of June, July, and August in the map as an average for the three maps (minimum, average, and maximum temperatures) was 62.9, 20, and 17.1%, respectively. The values of area under the curve ranged from 0.69 to 0.92 and were higher than 0.75 for most datasets. The values for training and test data were 0.91 ± 0.007 and 0.82 ± 0.01, respectively (Table 2).

Table 1.

Contribution percentages of monthly temperature datasets in the model maps.

Months Maps
 Average contribution ± S.D.
Minimum temperature Average temperature Maximum temperature
June 61.1 71.1 56.5 62.9 ± 7.46
July 17.6 25.7 16.7 20 ± 4.95
August 21.3 3.2 26.8 17.1 ± 12.34
Open in a new tab

Table 2.

Values of area under the curve for monthly datasets from the jackknife test and for test/training data from the receiver operating characteristic curve of the model maps.

Datasets Maps
 Average value ± S.D.
Minimum temperature Average temperature Maximum temperature
June 0.82 0.77 0.67 0.75 ± 0.07
July 0.79 0.76 0.76 0.77 ± 0.01
August 0.73 0.69 0.74 0.72 ± 0.02
Training data 0.921 0.907 0.914 0.91 ± 0.007
Test data 0.835 0.813 0.841 0.82 ± 0.01
Open in a new tab

The model map based on summer conditions (Fig. 3) shows that the highly suitable and suitable areas for P. latifrons are concentrated in the Gulf countries: Saudi Arabia, Emirates, Oman, and Yemen. Some parts of Iraq and Kuwait were considered as low suitable for P. latifrons. In North Africa, suitable areas are located in southern Egypt and some parts of Algeria while the low suitable areas are located in southern Egypt, south Libya and some parts of Algeria. The coastal areas in all countries showed very low suitability for bee pirates. So, beekeeping in such regions is not expected to suffer from the attack of this pest unlike those in desert areas.

Fig. 3.

Fig. 3

Open in a new tab

Potential distribution of Palarus latifrons under current conditions based on the average of three maps (minimum, average and maximum temperature) during summer (June, July and August).

The maximum temperature of the warmest month and mean temperature of the warmest quarter contributed to the model map by 99.7 and 0.3%, respectively. The area under the curve was 0.937 for training data, and 0.716 ± 0.091 for test data. The map based on the two climatic factors (Fig. 4) shows the very high suitability of all Gulf countries for P. latifrons. Unlike the previous map, Iraq and Kuwait were considered as very high suitable areas for this pest. In North Africa, some areas in south Egypt were considered as low suitable while vast areas in Algeria were considered as suitable/very suitable for this pest. This map confirms that northern parts of the Arabian countries are not suitable for P. latifrons.

Fig. 4.

Fig. 4

Open in a new tab

Potential distribution of Palarus latifrons under current conditions based on two environmental variables (MTWM: Maximum temperature of the warmest month, and MTWQ: Mean temperature of the warmest quarter).

3.2. Distribution during the near future

The datasets of June had the highest contribution in three maps for summer conditions with a percentage from 65.5 to 67.9 followed by July, and finally August (Table 3). Also, June had the highest contribution in the general map (average of the three individual maps) followed by July and finally August. The area under the curve for the datasets of June, July, and August ranged from 0.57 to 0.74 based on the jackknife test (Table 4). The area under the curve for training data ranged from 0.93 to 0.94 and for test data ranged from 0.67 to 0.75. The highest value was 0.94 ± 0.01 for the training data in the general map.

Table 3.

Contribution percentages of monthly temperature datasets in the model maps for the near future.

Months Maps
 Average contribution ± S.D.
Minimum temperature Average temperature Maximum temperature
June 67.9 65.9 65.5 66.43 ± 1.28
July 22.6 31 21.9 25.16 ± 5.06
August 9.5 3.1 12.7 8.43 ± 4.88
Open in a new tab

Table 4.

Values of area under the curve for monthly datasets from the jackknife test and for test/training data from the receiver operating characteristic curve of the model maps for the near future.

Datasets Maps
 Average value ± S.D.
Minimum temperature Average temperature Maximum temperature
June 0.74 0.72 0.66 0.70 ± 0.04
July 0.68 0.61 0.57 0.62 ± 0.05
August 0.64 0.58 0.61 0.61 ± 0.03
Training data 0.949 0.955 0.939 0.94 ± 0.01
Test data 0.750 0.727 0.677 0.71 ± 0.03
Open in a new tab

The model map during the near future based on summer conditions (Fig. 5) shows that the very high suitable areas for Palarus latifrons are concentrated in the western parts of Saudi Arabia, Yemen, Oman, and Emirates. Vast areas in the Gulf countries were classified as suitable for Palarus latifrons. In North Africa, some parts in south Egypt and Algeria were classified as suitable while the very high suitable areas were in southern Algeria. The coastal areas of the Arabian countries were classified as low suitable for this pest.

Fig. 5.

Fig. 5

Open in a new tab

Potential distribution of Palarus latifrons during near future conditions based on the average of three maps (minimum, average and maximum temperature) during summer (June, July and August).

The model map based on two bioclimatic factors during the near future (Fig. 6) confirmed the high suitability of Gulf countries for P. latifrons. Also, vast areas in Algeria were classified as very high suitable for this pest. In Egypt, only some parts in the south were considered as very low suitable P. latifrons. The coastal regions in the Arabian countries showed very low suitability for this pest. This expectation is supported by all maps.

Fig. 6.

Fig. 6

Open in a new tab

Potential distribution of Palarus latifrons during conditions of near future based on two environmental variables (MTWM: Maximum temperature of the warmest month, and MTWQ: Mean temperature of the warmest quarter).

4. Discussion

The model performance to generate distribution maps based on summer conditions and the two bioclimatic factors was generally good according to the area under the curve especially for training/test data as the values were high. It is known that the highest values are an indication of the good performance of the used model (e.g. Mulieri and Patitucci, 2019, Hosni et al., 2020, Jamal et al., 2021).

The model maps clearly showed the high adaptation of P. latifrons to the harsh conditions of Gulf countries. It is expected that this pest can adapt to the conditions of several Arabian countries: Saudi Arabia, Yemen, Kuwait, Oman, Emirates, and Iraq. The occurrence of this pest in these countries is not well documented except in Saudi Arabia. The maps showed that P. latifrons do not prefer coastal regions. It is expected that bee pirates prefer warm and desert regions more than cold/temperate regions. Some parts in south Egypt, Libya, and Algeria are expected to be suitable for the prevalence of P. latifrons in case of its invasion of north Africa. The regions highlighted as suitable or very suitable in north Africa are typically desert areas with conditions similar to deserts in the Gulf countries. The variations between the model maps based on summer conditions and those based on the two bioclimatic factors were generally low. All maps confirmed the potential spread of P. latifrons in the Gulf countries. Also, all maps highlighted the presence of some suitable areas especially in Egypt and Algeria among the north African countries.

The situation during the near future based on the model maps is expected to be similar to the current situation. The effects of temperatures during the near future are expected to be low on P. latifrons. Gulf countries will be the main suitable regions for the spread of this pest. Some parts in Egypt, Libya, and vast areas in Algeria are expected to be suitable for P. latifrons. In fact, the direct movement of this pest to invade north Africa through Egypt is not expected because the northern parts of Africa were classified as very low suitable for this pest. The accidental introduction of this pest to North Africa is expected to happen during trading between the Arabian countries.

Beekeeping in the desert regions or close to desert regions are expected to suffer from the attack of bee pirates. In fact, deserts are used in beekeeping in some Arabian countries due to the presence of honey plants (Alghoson, 2004, Al-Ghamdi and Nuru, 2013, Abou-Shaara, 2015). Also, migratory beekeeping is considered the common type of beekeeping in Arabian countries (Al-Ghamdi and Nuru, 2013, Al-Ghamdi et al., 2016). Honey bees can tolerate desert conditions (Alqarni, 2006, Alqarni et al., 2011, Abou-Shaara et al., 2013, Abou-Shaara, 2014, Abou-Shaara et al., 2017). So, apiaries can be established in the deserts for a short period during honey seasons. Such apiaries in the deserts or areas close to deserts are anticipated to be the main target of bee pirates. The options for the control of P. latifrons are limited and are not well documented unlike other bee pests (Arbogast et al., 2007, Beggs et al., 2008, Abou-Shaara, 2017, Rangel and Ward, 2018, Abou-Shaara and Staron, 2019).

5. Conclusion

The study aimed to investigate the possible spread of bee pirates Palarus latifrons in the Arabian deserts after their establishment in Saudi Arabia. Model maps using summer conditions and two bioclimatic conditions were established using Maxent and GIS. The model maps showed the high suitability of Gulf countries for this pest undercurrent and near-future conditions. The coastal regions showed very low suitability for this pest, suggesting its low ability to invade these regions. In North Africa, some parts in south Egypt and Libya were generally suitable for this pest. Vast areas in Algeria showed high suitability for this pest. No huge differences were observed between maps of current and near-future conditions. The direct movement of P. latifrons to invade Africa through Egypt is not expected during the near future. The accidental introduction through trading between the Arabian countries is expected to contribute greatly to the spread of this bee pest. Developing methods for the early detection of this digger wasp is required.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgement

This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program.

Footnotes

Peer review under responsibility of King Saud University.

References

  1. Abou-Shaara H.F. The foraging behaviour of honey bees, Apis mellifera: a review. Vet. Med. 2014;59:1–10. [Google Scholar]
  2. Abou-Shaara H.F. Potential honey bee plants of Egypt. Cer. Agron. Mold. 2015;48:99–108. doi: 10.1515/cerce-2015-0034. [DOI] [Google Scholar]
  3. Abou-Shaara H.F. Expectations about the potential impacts of climate change on honey bee colonies in Egypt. J. Apic. 2016;31:157–164. [Google Scholar]
  4. Abou-Shaara H.F. Evaluation of non-chemical traps for management of wax moth populations within honey bee colonies. J. Agr. Urban. Entomol. 2017;33:1–9. [Google Scholar]
  5. Abou-Shaara H.F. Geographical information system for beekeeping development. J. Apic. Sci. 2019;63:5–16. doi: 10.2478/jas-2019-0015. [DOI] [Google Scholar]
  6. Abou-Shaara H.F., Al-Ghamdi A.A., Mohamed A.A. Honey bee colonies performance enhance by newly modified beehives. J. Apic. Sci. 2013;57:45–57. doi: 10.2478/jas-2013-0016. [DOI] [Google Scholar]
  7. Abou-Shaara H.F., Owayss A.A., Ibrahim Y.Y., Basuny N.K. A review of impacts of temperature and relative humidity on various activities of honey bees. Insect Soc. 2017;64:455–463. doi: 10.1007/s00040-017-0573-8. [DOI] [Google Scholar]
  8. Abou-Shaara H.F., Staron M. Present and future perspectives of using biological control agents against pests of honey bees. Egy. J. Biol. Pest Con. 2019;29:24. doi: 10.1186/s41938-019-0126-8. [DOI] [Google Scholar]
  9. A-Ghamdi A.A. Diseases and pests associated with honey bee colonies in Saudi Arabia. Minia J. of Agric. Res. Develop. 2004;24:191–210. [Google Scholar]
  10. Al-Ghamdi A., Nuru A. Beekeeping in the Kingdom of Saudi Arabia opportunities and challenges. Bee World. 2013;90:54–57. [Google Scholar]
  11. Al-Ghamdi A.A., Alsharhi M.M., Abou-Shaara H.F. Current status of beekeeping in the Arabian countries and urgent needs for its development inferred from a socio-economic analysis. Asian J. Agri. Res. 2016;10:87–98. doi: 10.3923/ajar.2016.87.98. [DOI] [Google Scholar]
  12. Alghoson N.I. Alobekan Library; Riyadh, Saudi Arabia: 2004. Bees and honey plants in Saudi Arabia; p. 184. [Google Scholar]
  13. Al-Kahtani S.N., Taha E.K.A. Morphometric studies on dwarf honey bee Apis florea F. workers in Saudi Arabia. J. Apic. Sci. 2014;58:127–134. doi: 10.2478/jas-2014-0013. [DOI] [Google Scholar]
  14. Alqarni A.S. Tolerance of summer temperature in imported and indigenous honeybee Apis mellifera L. races in central Saudi Arabia. Saudi J. Biol. Sci. 2006;13:123–127. [Google Scholar]
  15. Alqarni A.S., Hannan M.A., Owayss A.A., Engel M.S. The indigenous honey bees of Saudi Arabia (Hymenoptera, Apidae, Apis mellifera jemenitica Ruttner): Their natural history and role in beekeeping. ZooKeys. 2011;134:83–98. doi: 10.3897/zookeys.134.1677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Arbogast R.T., Torto B., Van Engelsdorp D., Teal P.E. An effective trap and bait combination for monitoring the small hive beetle, Aethina tumida (Coleoptera: Nitidulidae) Flo. Entomol. 2007;90:404–406. doi: 10.1653/0015-4040(2007)90[404:AETABC]2.0.CO;2. [DOI] [Google Scholar]
  17. Beggs J.R., Rees J.S., Toft R.J., Dennis T.E., Barlow N.D. Evaluating the impact of a biological control parasitoid on invasive Vespula wasps in a natural forest ecosystem. Biol. Control. 2008;44:399–407. doi: 10.1016/j.biocontrol.2007.10.016. [DOI] [Google Scholar]
  18. Brauns H. LXXII.—Two new species of Palarus from S. Africa. Ann. Mag. Nat. Hist. 1912;9:652–656. [Google Scholar]
  19. Clauss B. Report for the Ministry of Agriculture; Botswana: 1983. Bees and beekeeping in Botswana; p. 106. [Google Scholar]
  20. DeLong E.R., DeLong D.M., Clarke-Pearson D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;837–845 doi: 10.2307/2531595. [DOI] [PubMed] [Google Scholar]
  21. Demichelis S., Manino A., Minuto G., Mariotti M., Porporato M. Social wasp trapping in north west Italy: comparison of different bait-traps and first detection of Vespa velutina. Bull. Insectol. 2014;67:307–317. [Google Scholar]
  22. El-Niweiri, M.A., Satti, A.A., 2008. Status quo of honeybee (Apis mellifera L.) pests and diseases in Sudan. The 23rd International Congress of Entomology, 6 – 12 July 2008, International Convention Centre, Durban/ South Africa.
  23. Gadallah N.S., Assery B.M. Revision of the subfamily Larrinae (Sphecidae, Hymenoptera) in the Jeddah region (west of Saudi Arabia), with a checklist of larrine wasps known from Saudi Arabia. Bull. Entomol. Soci. Egypt. 2004;81:13–28. [Google Scholar]
  24. Gadallah N.S., Al Dhafer H.M., Aldryhim Y.N., Fadl H.H., ElGharbawy A.A. The digger wasps of Saudi Arabia: New records and distribution, with a checklist of species (Hym.: Ampulicidae, Crabronidae and Sphecidae) North-Western J. Zool. 2013;9:345–364. [Google Scholar]
  25. Gayubo S.F., Asis J.D., Tormos J. A new species of Palarus Latreille from Spain with a comparative study on nesting behavior and larvae in the genus (Hymenoptera: Sphecidae) Ann. Entomol. Soci. Am. 1992;85:26–33. [Google Scholar]
  26. Grosso-Silva J.M., Maia M. Vespa velutina Lepeletier, 1836 (Hymenoptera, Vespidae), new species for Portugal. Arquivos Entomolóxicos. 2012;6:53–54. [Google Scholar]
  27. Guy R.D. Commercial beekeeping with African bees. Bee World. 1972;53:14–22. doi: 10.1080/0005772X.1972.11097394. [DOI] [Google Scholar]
  28. Haddad N., Adjlane N., Loucif-Ayad W., Shebl M.A., Saba M., Albaba I., El-Obeid D., Sabah M., Giusti M., Felicioli A. Presence and infestation rate of Senotainia tricuspis (Meigen)(Diptera, Sarcophagidae) on honey bees in the Mediterranean Region. J. Apic. Res. 2015;54:121–122. doi: 10.1080/00218839.2015.1099988. [DOI] [Google Scholar]
  29. Haxaire J., Bouguet J.-P., Tamisier J.-P. Vespa velutina Lepeletier, 1836, uneredoutable nouveauté pour la faune de France (Hym., Vespidae) Bulletin de la Société Entomologique de France. 2006;111(2):194. [Google Scholar]
  30. Hepburn H.R., Radloff S.E. Biogeography of the dwarf honeybees, Apis andreniformis and Apis florea. Apidologie. 2011;42:293–300. doi: 10.1007/s13592-011-0024-x. [DOI] [Google Scholar]
  31. Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 2005;25:1965–1978. doi: 10.1002/joc.1276. [DOI] [Google Scholar]
  32. Hosni E.M., Nasser M.G., Al-Ashaal S.A., Rady M.H., Kenawy M.A. Modeling current and future global distribution of Chrysomya bezziana under changing climate. Sci. Rep. 2020;10:4947. doi: 10.1038/s41598-020-61962-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Ilyasov R.A., Lee M.L., Takahashi J.I., Kwon H.W., Nikolenko A.G. A revision of subspecies structure of western honey bee Apis mellifera. Saudi J. Biol. Sci. 2020;27:3615–3621. doi: 10.1016/j.sjbs.2020.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Jamal, Z.A., Abou-Shaara, H.F., Qamer, S., Alotaibi, M.A., Khan K.A., Khan, M.F., Bashir, M.A., Hannan, A., AL-Kahtani, S.N., A. Taha, E., Anjum, S.I., Attaullah, M., Raza, G., Ansari, M.J., 2021. Future expansion of small hive beetles, Aethina tumida, towards North Africa and South Europe based on temperature factors using maximum entropy algorithm. J. King Saud Univ. – Sci., https://doi.org/10.1016/j.jksus.2020.101242
  35. Le Conte Y., Navajas M. Climate change: impact on honey bee populations and diseases. Revue Scientifique et Technique. 2008;27:499–510. [PubMed] [Google Scholar]
  36. López S., González M., Goldarazena A. Vespa velutina lepeletier, 1836 (Hymenoptera: Vespidae): first records in Iberian Peninsula. EPPO Bull. 2011;41:439–441. [Google Scholar]
  37. Mally C.W. Bee pirates. Agric. J. Cape Good Hope. 1908;33(2):206–213. [Google Scholar]
  38. Monceau K., Bonnard O., Thiéry D. Vespa velutina: a new invasive predator of honeybees in Europe. J. Pest Sci. 2014;87:1–16. doi: 10.1007/s10340-013-0537-3. [DOI] [Google Scholar]
  39. Mulieri P.R., Patitucci L.D. Using ecological niche models to describe the geographical distribution of the myiasis-causing Cochliomyia hominivorax (Diptera: Calliphoridae) in southern South America. Parasitol. Res. 2019;118:1077–1086. doi: 10.1007/s00436-019-06267-0. [DOI] [PubMed] [Google Scholar]
  40. Mungai M.N., Mwangi J.F., Schliesske J., Lampe K.H. The accompanying fauna of honey bee colonies (Apis mellifera) in Kenya. Entomologie heute. 2009;21:127–140. [Google Scholar]
  41. Nemkov P.G. Review of the digger wasps of the genus Palarus LATREILLE in Russia and neighbouring countries. Entomofauna. 2005;26:241–252. [Google Scholar]
  42. Neumann, P., Pettis, J.S., Schäfer, M.O., 2016. Quo vadis Aethina tumida? Biology and control of small hive beetles. Apidologie, 47, 427-466. https://doi.org/ 10.1007/s13592-016-0426-x
  43. Oldroyd B.P., Allsopp M.H. Risk assessment for large African hive beetles (Oplostomus spp.) – a review. Apidologie. 2017;48:495–503. doi: 10.1007/s13592-017-0493-7. [DOI] [Google Scholar]
  44. Otis G.W. Distributions of recently recognized species of honey bees (Hymenoptera: Apidae; Apis) in Asia. J. Kansas Entomol. Soci. 1996:311–333. [Google Scholar]
  45. Phillips, S.J., 2017. A brief tutorial on Maxent. available from url: http://biodiversityinformatics.amnh.org/open_source/maxent/
  46. Phillips, S.J., Dudík, M., Schapire, R.E., 2020. Maxent software for modeling species niches and distributions (Version 3.4.1). Available from url: http://biodiversityinformatics.amnh.org/open_source/maxent/. Accessed on 2020-3-20.
  47. Rangel J., Ward L. Evaluation of the predatory mite Stratiolaelaps scimitus for the biological control of the honey bee ectoparasitic mite Varroa destructor. J. Apic. Res. 2018;57:425–432. doi: 10.1080/00218839.2018.1457864. [DOI] [Google Scholar]
  48. Rinderer T.E., Oldroyd B.P., Wongsiri S., Sylvester H.A., De Guzman L.I., Stelzer J.A., Riggio R.M. A morphological comparison of the dwarf honey bees of southeastern Thailand and Palawan, Philippines. Apidologie. 1995;26:387–394. doi: 10.1051/apido:19950504. [DOI] [Google Scholar]
  49. Ruttner, F., 1988. Biogeography and taxonomy of honeybees. Springer-Verlag Berlin Heidelberg GmbH, 288. https://doi.org/10.1016/0169-5347(89)90176-6.
  50. Shebl M.A. Discovery of Apis florea colonies in northeastern Egypt. Afr. Entomol. 2017;25:248–249. doi: 10.4001/003.025.0248. [DOI] [Google Scholar]
  51. Smith F.G. The races of honeybees in Africa. Bee World. 1961;42:255–260. doi: 10.1080/0005772X.1961.11096896. [DOI] [Google Scholar]
  52. Taha E.K.A., Al-Abdulsalam M., Al-Kahtani S. Insect pollinators and foraging behavior of honey bees on alfalfa (Medicago sativa L.) in Saudi Arabia. J. Kansas Entomol. Soci. 2016;89:92–99. [Google Scholar]
  53. Yoruk A., Sahinler N. Potential effects of global warming on the honey bee. U. Bee J. 2013;13:79–87. [Google Scholar]

Articles from Saudi Journal of Biological Sciences are provided here courtesy of Elsevier

RESOURCES