journal article·2025-04-18Open access

The Effect of Land Cover on the Nectar Collection by Honeybee Colonies in Urban and Rural Areas

Dariusz Gerula, Jakub Gąbka

Applied Sciences· Volume 15· Issue 8

Abstract

In the context of increasing urbanisation, the question arises as to whether urban environments can provide honeybee colonies with floral resources comparable to those available in rural areas. The present study sought to evaluate the impact of land cover on nectar collection by bees in urban and rural apiaries. To this end, changes in the mass of 10 hives located in five urban–rural site pairs were monitored over two years (2021–2022) to assess nectar yield, weight loss, and the number of foraging days. The 3 km surroundings of each apiary were analysed using Sentinel-2 satellite imagery from the S2GLC-PL (National Satellite Information System 2025). The analysis identified eight distinct land cover classes: anthropogenic, agricultural, broad-leaved forest, coniferous forest, grassland, shrubs, wetlands, and water bodies. The findings revealed no statistically significant variation in the total nectar collected between urban and rural colonies (72.9 kg vs. 64.5 kg; p > 0.6). However, urban colonies exhibited a significantly higher number of foraging days (67 vs. 56). No significant correlations were identified between specific land cover types and nectar yield. Principal component analysis (PCA) and clustering revealed distinct landscape gradients, yet these did not influence nectar collection. The findings of this study indicate that diverse urban environments have the capacity to support beekeeping to a similar extent as rural areas and may even have superior conditions, provided that the continuity and diversity of nectar plants are maintained.
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Research context

OpenAlex topics: Plant and animal studies · Bee Products Chemical Analysis · Insect and Pesticide Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Apiculture Division, The National Institute of Horticultural Research, 24-100 Pulawy, Poland

Department of Animal Environment Biology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland

Funding

Ministry of Science and Higher Education

References (42)

Show source-provided references
1. The flight range of the honeybee
2. Colony Foraging Allocation Is Finely Tuned to Food Distance and Sweetness Even Close to a Bee Colony10.1111/eea.12283 ↗
3. Time and Distance in the Life of the Foraging Bee10.1080/0005772X.1951.11094669 ↗
4. Recruitment, Search Behavior, and Flight Ranges of Honey Bees10.1093/icb/31.6.768 ↗
5. von Frisch, K. (1967). The Dance Language and Orientation of Bees, Harvard University Press.
6. Starr, C.K. (2021). Optimal Foraging Theory. Encyclopedia of Social Insects, Springer.10.1007/978-3-030-28102-1 ↗
7. Honey Bee Foraging Distance Depends on Month and Forage Type10.1007/s13592-014-0302-5 ↗
8. Optimal Distributions of Central-Place Foragers: Honey Bee Foraging in a Mass Flowering Crop10.1093/beheco/arab143 ↗
9. Design and Development of a Smart Weighing Scale for Beehive Monitoring
10. Gil-Lebrero, S., Quiles-Latorre, F.J., Ortiz-López, M., Sánchez-Ruiz, V., Gámiz-López, V., and Luna-Romera, J.M. (2016). Honey bee colonies remote monitoring system. Sensors, 17.10.3390/s17010055 ↗
11. Meikle, W.G., Holst, N., Colin, T., Weiss, M., and Carroll, M.J. (2018). Using Within-Day Hive Weight Changes to Measure Environmental Effects on Honey Bee Colonies. PLoS ONE, 13.10.1371/journal.pone.0197589 ↗
12. Cecchi, S., Spinsante, S., Terenzi, A., and Orcioni, S. (2020). A Smart Sensor-Based Measurement System for Advanced Beehive Monitoring. Sensors, 20.10.3390/s20092726 ↗
13. Apis-Prime: A Deep Learning Model to Optimize Beehive Monitoring System for the Task of Daily Weight Estimation10.1016/j.asoc.2023.110546 ↗
14. Lecocq, A., Kryger, P., Vejsnæs, F., and Jensen, A.B. (2015). Weight Watching and the Effect of Landscape on Honeybee Colony Productivity: Investigating the Value of Colony Weight Monitoring for the Beekeeping Industry. PLoS ONE, 10.10.1371/journal.pone.0132473 ↗
15. Gerula, D., Węgrzynowicz, P., and Borański, M. (2022, January 8–9). Is One Scale in an Apiary Enough?. Proceedings of the 59th Scientific Beekeeping Conference, Puławy, Poland.
16. Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1974). Monitoring Vegetation Systems in the Great Plains with ERTS (NASA SP-351), NASA.
17. Red and Photographic Infrared Linear Combinations for Monitoring Vegetation10.1016/0034-4257(79)90013-0 ↗
18. Distribution of Bee Forage Species of Al-Baha Region Based on Ground Inventorying Supported with GIS Applications and Remote Sensed Satellite Image10.1016/j.sjbs.2017.01.009 ↗
19. Detecting and Distinguishing between Apicultural Plants Using UAV Multispectral Imaging. Detecting and distinguishing between apicultural plants using UAV multispectral imaging10.7717/peerj.15065 ↗
20. Gonzales, D., and Hempel de Ibarra, N. (2022). Remote Sensing of Floral Resources for Pollinators—New Horizons from Satellites to Drones. Front. Ecol. Evol., 10.10.3389/fevo.2022.869751 ↗
21. Anderson, N.V., Petersen, S.L., Johnson, R.L., and Terry, T.J. (2024). Detecting Floral Resource Availability Using Small Unmanned Aircraft Systems. Land, 13.10.3390/land13010099 ↗
22. Complex Urban Environments Provide Apis mellifera with a Richer Plant Forage than Suburban and More Rural Landscapes10.1002/ece3.9490 ↗
23. Dancing Bees Evaluate Central Urban Forage Resources as Superior to Agricultural Land10.1111/1365-2664.14011 ↗
24. Urban gardens promote bee foraging over natural habitats and plantations10.1002/ece3.1941 ↗
25. Honey Bee Success Predicted by Landscape Composition in Ohio, USA10.7717/peerj.838 ↗
26. Landscape and local correlates of pollinators in urban gardens10.1093/ee/nvw025 ↗
27. McMinn-Sauder, H., Lin, C.-H., Eaton, T., and Johnson, R. (2022). A Comparison of Springtime Pollen and Nectar Foraging in Honey Bees Kept in Urban and Agricultural Environments. Front. Sustain. Food Syst., 6.10.3389/fsufs.2022.825137 ↗
28. Long-Term Changes in Composition and Distribution of Bumblebees in Urban Areas
29. Bee diversity and abundance in an urban setting10.4039/n04-010 ↗
30. Land use in the Northern Great Plains region of the U.S. influences the survival and productivity of honey bee colonies10.1016/j.agee.2016.05.030 ↗
31. Bee–Plant Interaction and Community Response along an Urbanization Gradient10.1093/jue/juad006 ↗
32. A Review of Diversity of Bees, the Attractiveness of Host Plants and the Effects of Landscape Variables on Bees in Urban Gardens. Agric10.1186/s40066-021-00353-2 ↗
33. Amount, Distance-Dependent and Structural Effects of Forest Patches on Bees in Agricultural Landscapes10.1186/s40066-022-00360-x ↗
34. Proximity to a Forest Leads to Higher Honey Yield: Another Reason to Conserve10.1016/j.biocon.2009.06.023 ↗
35. ECOBEE: A Tool for Long-Term Honey Bee Colony Monitoring at the Landscape Scale in West European Intensive Agroecosystems10.3896/IBRA.1.53.1.05 ↗
36. Diverse landscapes with small-scale farming support more honeybee colonies than intensive agricultural landscapes
37. Honeybee Nutrition Is Linked to Landscape Composition10.1002/ece3.1293 ↗
38. Correlations between Land Covers and Honey Bee Colony Losses in a Country with Industrialized and Rural Regions10.1016/j.scitotenv.2015.05.128 ↗
39. Gerula, D., Węgrzynowicz, P., and Kołtowski, Z. (2025). Comparative Analysis of Urban and Rural Ecosystems in the Context of Suitability for Honeybees. Appl. Sci., 15.10.20944/preprints202501.1411.v1 ↗
40. (2025, April 01). National Satellite Information System S2GLC-PL, Available online: https://nsisplatforma.polsa.gov.pl.
41. TIBCO Software Inc. (2017). Statistica, 2017, Version 13, TIBCO Software Inc.. Data Analysis Software System.
42. Relationships between flower opening time, environmental conditions, corolla opening size and nectar production in five winter oilseed rape (Brassica napus L.) cultivars in China