Advanced search
Publication Cover
Geology, Ecology, and Landscapes Volume 8, 2024 - Issue 2
Submit an article Journal homepage
895
Views
2
CrossRef citations to date
0
Altmetric
Research Articles

The status of honeybees (Apis mellifera scutellata) colonies in Hurugwe Safari Area-Rifa section, northern Zimbabwe

Jeremiah Chakuyaa Scientific Services, Zimbabwe Parks and Wildlife Management Authority, Harare, Zimbabwe;b School of Wildlife, Ecology and Conservation, Chinhoyi University of Technology, Chinhoyi, ZimbabweCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1326-1344View further author information
ORCID Icon,
Edson Gandiwaa Scientific Services, Zimbabwe Parks and Wildlife Management Authority, Harare, ZimbabweView further author information
,
Never Mubokob School of Wildlife, Ecology and Conservation, Chinhoyi University of Technology, Chinhoyi, ZimbabweView further author information
,
Victor K Muposhib School of Wildlife, Ecology and Conservation, Chinhoyi University of Technology, Chinhoyi, Zimbabwe;c Department of Wildlife and Aquatic Resources, Botswana University of Agriculture and Natural Resources, Gaborone, BotswanaView further author information
,
Manuel Ndebeled Geo-information and Earth Observation Centre, Department of Geography, Geospatial Sciences and Earth Observation, University of Zimbabwe, Harare, ZimbabweView further author information
&
Paradzayi Tagwireyid Geo-information and Earth Observation Centre, Department of Geography, Geospatial Sciences and Earth Observation, University of Zimbabwe, Harare, ZimbabweView further author information
Pages 154-164 | Received 24 Jan 2022, Accepted 02 Aug 2022, Published online: 07 Aug 2022

References

  • Abrha, H. (2018). Climate change impact on coffee and the pollinator bee suitable area interaction in Raya Azebo, Ethiopia. Cogent Food and Agriculture, 4(1), 1–13. https://doi.org/10.1080/23311932.2018.1564538
  • Allouche, O., Tsoar, A., & Kadmon, R. (2006). Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43(6), 1223–1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x
  • Anderson, R. P., & Martinez-Meyer, E. (2004). Modeling species’ geographic distributions for preliminary conservation assessments: An implementation with the spiny pocket mice (heteromys) of Ecuador. Biological Conservation, 116(2), 167–179. https://doi.org/10.1016/S0006-3207(03)00187-3
  • Barnett, K. L., & Facey, S. L. (2016). Grasslands, invertebrates, and precipitation: A review of the effects of climate change. Frontiers in Plant Science, 7, 1196. https://doi.org/10.3389/fpls.2016.01196
  • Chakuya, J., Mandisodza-Chikerema, R., Ngorima, P., & Malunga, A. (2021). Water sources during drought period in a savanna wildlife ecosystem, northern Zimbabwe. Geology, Ecology, and Landscapes, 1–6. https://doi.org/10.1080/24749508.2021.1971413
  • Chakuya, J., Gandiwa, E., Muboko, N., & Muposhi, V. K. (2022). A review of habitat and distribution of common stingless bees and honeybees species in African savanna ecosystems. Tropical Conservation Science, 15. https://doi.org/10.1177/2F19400829221099623
  • Chitesa, A. (2014). Beekeeping in Zimbabwe paper presented at the APIEXPO Africa 2014 held in harare 6-11th october, 2014. By Smith Nyatsande.
  • Cloudsley-Thompson, J. L. (1962). Microclimates and the distribution of terrestrial arthropods. Annual Review of Entomology, 7(1), 199–222. https://doi.org/10.1146/annurev.en.07.010162.001215
  • Dunham, K. M. (1988). Demographic changes in the Zambezi Valley elephants (Loxodonta africana). Journal of Zoology, London, 215(2), 382–388. https://doi.org/10.1111/j.1469-7998.1988.tb04909.x
  • Dunham, K. M. (1992). Response of a lion (Panthera leo) population to changing prey availability. Journal of Zoology, 227(2), 330–333. https://doi.org/10.1111/j.1469-7998.1992.tb04829.x
  • Dunne, J., Höhn, A., Franke, G., Neumann, K., Breunig, P., Gillard, T., Evershed, R. P., & Evershed, R. P. (2021). Honey-collecting in prehistoric West Africa from 3500 years ago. Nature Communications, 12(1), 1–11. https://doi.org/10.1038/s41467-021-22425-4
  • Elith, J.H., Graham, C. P., Anderson, R., Dudík, M., Ferrier, S., Guisan, A., E. Zimmermann, N., Huettmann, F., R. Leathwick, J., Lehmann, A., Li, J., G. Lohmann, L., A. Loiselle, B., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., McC. M. Overton, J., Townsend Peterson, A., E. Zimmermann, N. (2006). Novel methods improve prediction of species distributions from occurrence data. Ecography, 29(2), 129–151. https://doi.org/10.1111/j.2006.0906-7590.04596.x
  • Elith, J., Phillips, S. J., Hastie, T., Dudik, M., Chee, Y. E., & Yates, C. J. (2011). A statistical explanation of Maxent for ecologist. Diversity and Distribution, 17(1), 43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x
  • Engler, R., Guisan, A., & Rechsteiner, L. (2004). An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 41(2), 263–274. https://doi.org/10.1111/j.0021-8901.2004.00881.x
  • Ernst, U. (2016). Following the wild bees: The craft and science of bee hunting. Bioscience, 66(10). https://doi.org/10.1093/biosci/biw105
  • Estrada-Peña, A., & Salman, M. (2013). Current limitations in the control and spread of ticks that affect livestock: A review. Agriculture, 3(2), 221–235. https://doi.org/10.3390/agriculture3020221
  • Fikadu, Z. (2019). The contribution of managed honeybees to crop pollination, food security, and economic stability: Case of Ethiopia. The Open Agriculture Journal, 13(1), 175–181. https://doi.org/10.2174/1874331501913010175
  • Franklin, J. (2009). Mapping species distributions: Spatial inference and prediction. Cambridge University Press.
  • Gallien, L., Douzet, R., Pratte, S., Zimmermann, N. E., & Thuiller, W. (2012). Invasive species distribution models–how violating the equilibrium assumption can create new insights. Global Ecology and Biogeography, 21(11), 1126–1136. https://doi.org/10.1111/j.1466-8238.2012.00768.x
  • Garnery, L., Cornuet, J. M., & Solignac, M. (1992). Evolutionary history of the honey bee Apis mellifera inferred from mitochondrial DNA analysis. Molecular Ecology, 1(3), 145–154. https://doi.org/10.1111/j.1365-294X.1992.tb00170.x
  • Gill, N. S., & Sangermano, F. (2016). Africanised honeybee habitat suitability: A comparison between models for southern Utah and southern Califonia. Applied Geography, 76, 14–21. https://doi.org/10.1016/j.apgeog.2016.09.002
  • González-Fernández, A., Manjarrez, J., García-Vázquez, U., D’Addario, M., & Sunny, A. (2018). Present and future ecological niche modeling of garter snake species from the Trans-Mexican Volcanic Belt. Peer Journal, 6, e4618. https://doi.org/10.7717/peerj.4618
  • Groh, C., Tautz, J., & Rössler, W. (2004). Synaptic organization in the adult honeybee brain is influenced by brood-temperature control during pupal development. Proceedings of National Academy of Science, 101, 4268–4273. https://doi.org/10.1073/pnas.0400773101
  • Guerin, E. (2020). Apis dorsata Honey Hunting and Honey Trading in Mondulkiri (EasternCambodia). Bee World, 97(2), 34–38. https://doi.org/10.1080/0005772X.2019.1692644
  • Guisan, A., & Zimmermann, N. E. (2000). Predictive habitat distribution models in ecology. Ecological Modelling, 135(2–3), 147–186. https://doi.org/10.1016/S0304-3800(00)00354-9
  • Guisan, A., Edwards, T. C., & Hastie, T. (2002). Generalized linear and generalized additive models in studies of species distributions: Setting the scene. Ecological Modelling, 157(2–3), 89–100. https://doi.org/10.1016/S0304-3800(02)00204-1
  • Guisan, A., & Thuiller, W. (2005). Predicting species distribution: Offering more than simple habitat models. Ecology Letters, 8(9), 993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
  • Guy, P. R. (1977). Notes on the vegetation types of the Zambezi Valley. Rhodesia, between the kariba and mpata gorges. Kirkia, 10(2), 543–557. http://www.jstor.org/stable/23502161
  • Hennessy, G., Harris, C., Eaton, C., Wright, P., Jackson, E., Goulson, D., & Ratnieks, F. F. (2020). Gone with the wind: Effects of wind on honeybee visit rate and foraging behaviour. Animal Behaviour, 161, 23–31. https://doi.org/10.1016/j.anbehav.2019.12.018
  • Hirt, C., Filmer, M. S., & Featherstone, W. E. (2010). Comparison and validation of the recent freely available ASTER-GDEM ver1, SRTMver4.1 and GEODATA DEM- 9S ver3 digital elevation models over Australia. Australian Journal of Earth Sciences, 57(3), 337–347. https://doi.org/10.1080/08120091003677553
  • Hirzel, A. H., Hausser, J., Chessel, D., & Perrin, N. (2002). Ecological-niche factor analysis: How to compute habitat-suitability maps without absence data? Ecology, 83(7), 2027–2036. https://doi.org/10.1890/0012-965820020832027ENFAHT2.0.CO2
  • Human, H., Brodschneider, R., Dietemann, V., Dively, G., Ellis, J. D., Forsgren, E., Zheng, H. Q., Hatjina, F., Hu, F.-L., Jaffé, R., Jensen, A. B., Köhler, A., Magyar, J. P., Özkýrým, A., Pirk, C. W. W., Rose, R., Strauss, U., Tanner, G., Tarpy, D. R., … Zheng, H.-Q. (2013). Miscellaneous standard methods for Apis mellifera research. Journal of Apicultural Research, 52(4), 1–53. https://doi.org/10.3896/IBRA.1.52.4.10
  • Isack, H. A., & Reyer, H. U. (1989). Honeyguides and honey gatherers: Interspecific communication in a symbiotic relationship. Science, 243(4896), 1343–1346. https://doi.org/10.1126/science.243.4896.1343
  • Jones, J. C., & Oldroyd, B. P. (2007). Nest thermoregulation in social insects. Advances in Insect Physiology, 33, 154–191. https://doi.org/10.1016/S0065-2806(06)33003-2
  • Joshi, S. R., & Gurung, M. B. (2005). Non-destructive method of honey hunting. Bee World, 86(3), 63–64. https://doi.org/10.1080/0005772X.2005.11417313
  • Keenan, T., Maria Serra, J., Lloret, F., Ninyerola, M., & Sabate, S. (2011). Predicting the future of forests in the mediterranean under climate change, with niche‐and process‐based models: CO2 matters! Global Change Biology, 17(1), 565–579. https://doi.org/10.1111/j.1365-2486.2010.02254.x
  • Kumar, S., & Stohlgren, T. J. (2009). Maxent modelling for predicting suitable habitat for threatened and endangered tree canacomyrica monticola in New Caledonia. Journal of Ecology and Natural Environment, 1(4), 094–098. https://doi.org/10.5897/JENE.9000071
  • Lensky, Y. (1964). Comportement d’une colonie d’abeilles a des temperatures extremes. Journal of Insect Physiology, 10(1), 1–12. https://doi.org/10.1016/0022-1910(64)90090-3
  • Lobo, J. M., Jiménez‐Valverde, A., & Real, R. (2008). AUC: A misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography, 17(2), 145–151. https://doi.org/10.1111/j.1466-8238.2007.00358.x
  • Ma, B., & Sun, J. (2018). Predicting the distribution of stipa purpurea across the Tibetan plateau via the MaxEnt model. BMC Ecology, 18(1), 1–12. https://doi.org/10.1186/s12898-018-0165-0
  • Makori, D. M., Fombong, A. T., Abdel-Rahman, E. M., Nkoba, K., Ongus, J., Irungu, J., Landmann, T., Makau, S., Mutanga, O., Odindi, J., Raina, S., & Landmann, T. (2017). Predicting spatial distribution of key honeybee pests in Kenya using remotely sensed and bioclimatic variables: Key honeybee pests distribution models. ISPRS International Journal of Geo-Information, 6(3), 66. https://doi.org/10.3390/ijgi6030066
  • Marshman, J., Blay-Palmer, A., & Landman, K. (2019). Anthropocene crisis: Climate change, pollinators, and food security. Environments, 6(2), 22. https://doi.org/10.3390/environments6020022
  • McFarlane, B. (2007). Beginning AutoCAD 2007. Routledge).
  • Morin, X., & Thuiller, W. (2009). Comparing niche‐and process‐based models to reduce prediction uncertainty in species range shifts under climate change. Ecology, 90(5), 1301–1313. https://doi.org/10.1890/08-0134.1
  • Naimi, B. (2017). Package ‘usdm uncertainty analysis for species distribution models. Accessed 03 January 2022. Wien. www.cran.r-project.org
  • Ong, M., Bulmer, M., Groening, J., & Srinivasan, M. V. (2017). Obstacle traversal and route choice in flying honeybees: Evidence for individual handedness. PLoS One, 12(11), e0184343. https://doi.org/10.1371/journal.pone.0184343
  • Pearce, J. L., & Boyce, M. S. (2006). Modelling distribution and abundance with presence-only data. Journal of Applied Ecology, 43(3), 405–412. https://doi.org/10.1111/j.1365-2664.2005.01112.x
  • Peterson, A. T., Papeş, M., & Soberón, J. (2008). Rethinking receiver operating characteristic analysis applications in ecological niche modelling. Ecological Modelling, 213(1), 63–72. https://doi.org/10.1016/j.ecolmodel.2007.11.008
  • Phillips, S. J., Dudik, M., & Schapire, R. E. (2004) A maximum entropy approach to species distribution modelling. 21st International conference on machine learning, 2004., Banff, Canada: AT&T Labs − Research, 1–8. https://doi.org/10.1145/1015330.1015412
  • Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190(3–4), 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
  • Ren, Z., Peng, H., & Liu, Z. W. (2016). The rapid climate change-caused dichotomy on subtropical evergreen broad-leaved forest in Yunnan: Reduction in habitat diversity and increase in species diversity. Plant Diversity, 38(3), 142–148. https://doi.org/10.1016/j.pld.2016.04.003
  • Rinnan, D. S., & Lawler, J. (2019). Climate‐niche factor analysis: A spatial approach to quantifying species vulnerability to climate change. Ecography, 42(9), 1494–1503. https://doi.org/10.1111/ecog.03937
  • Ruttner, F. (1988). Morphometric analysis and classification. Biogeography and taxonomy of honeybees (pp. 66–78). Springer. https://doi.org/10.1007/978-3-642-72649-1_6
  • Schouten, C., Lloyd, D., Ansharyani, I., Salminah, M., Somerville, D., & Stimpson, K. (2020). The role of honey hunting in supporting subsistence livelihoods in Sumbawa, Indonesia. Geographical Research, 58(1), 64–76. https://doi.org/10.1111/1745-5871.12380
  • Seeley, T. D. (1982). How honeybees find a home. Scientific American, 247(4), 158–168. https://doi.org/10.1038/scientificamerican1082-158
  • Southwick, E. E., & Heldmaier, G. (1987). Temperature control in honeybee colonies. Bioscience, 37(6), 395–399. https://doi.org/10.2307/1310562
  • Spottiswoode, C. N., Begg, K. S., & Begg, C. M. (2016). Reciprocal signalling in honey guide-human mutualism. Science, 353(6297), 387–389. https://doi.org/10.1126/science.aaf4885
  • Tagwireyi, P., Wenga, T., Ndaimani, H., & Mpakairi, K. S. (2020). Environmental correlates of cheetah (acinonyx jubatus) space-use in a savanna landscape. African Journal of Wildlife Research, 50(1). https://doi.org/10.3957/056.050.0000
  • Tarakini, G., Chemura, A., Tarakini, T., & Musundire, R. (2021). Drivers of diversity and community structure of bees in an agroecological region of Zimbabwe. Ecology and Evolution, 11(11), 1–12. https://doi.org/10.1002/ece3.7492
  • Tautz, J., Maier, S., Groh, C., Rössler, W., & Brockmann, A. (2003). Behavioral performance in adult honeybees is influenced by the temperature experienced during their pupal development. Proceedings of National Academy of Sciences, 100, 7343–7347. https://doi.org/10.1073/pnas.1232346100
  • Thuiller, W., Georges, D., Engler, R., & Breiner, F. (2016). Ensemble platform for species distribution modeling R Package Version. 1–3.
  • Visscher, P. K., & Seeley, T. D. (1982). Foraging strategy of honeybee colonies in a temperate deciduous forest. Ecology, 63(6), 1790–1801. https://doi.org/10.2307/1940121
  • Wood, B. M., Pontzer, H., Raichlen, D. A., & Marlowe, F. W. (2014). Mutualism and manipulation in Hadza–honeyguide interactions. Evolution and Human Behavior, 35(6), 540–546. https://doi.org/10.1016/j.evolhumbehav.2014.07.007
  • Zhu, H., Wang, D., Wang, L., Fang, J., Sun, W., & Ren, B. (2014). Effects of altered precipitation on insect community composition and structure in a meadow steppe. Ecological Entomology, 39(4), 453–461. https://doi.org/10.1111/een.12120

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.