Occurrence dataset of wild bees (Hymenoptera, Apoidea) present in agricultural and non-farmed landscapes of Central Uganda
Citation
Akol A M, Lotts K C, Kabasomi L, Auk D, Burrows S, Pauly A, Griswold T L (2024). Occurrence dataset of wild bees (Hymenoptera, Apoidea) present in agricultural and non-farmed landscapes of Central Uganda. Department of Zoology, Entomology and Fisheries Sciences. Occurrence dataset https://doi.org/10.15468/ew2zkd accessed via GBIF.org on 2024-12-12.Description
The Bee Diversity Informatics Project (beeDIP) was conceived to generate information about Uganda's composition and distribution of bee fauna. The purpose of the surveys was to develop a preliminary baseline dataset of the bee fauna of Uganda post-2011, which was the latest published GBIF record of bees before the 2020 inception of the beeDIP project. Secondly, to assess species richness in a region experiencing multiple stressors (pesticide use, changes in vegetation, intense heat, and drought) known to affect bee communities and increase urbanization. Bees were collected from farmland, grassland, and woodland areas. Surveys were conducted over 24 months between 2020 and 2022 in three districts – Kayunga, Luwero, and Nakaseke – located in Central Uganda.Sampling Description
Study Extent
Bees were collected from 34 sample plots established in farmland, grassland, and natural woodland areas to represent different land-use categories. The site was pre-selected based on the advice of sub-county extension staff and community leaders. Thereafter ground-truthing was done and 100m x100m plots delineated and georeferenced using a hand-held GPS device (Garmin; eTrex 10, Garmin Ltd, Taiwan). Surveys were conducted in wet and dry season periods for two years. Each round of sampling was 8-10 days long. Sampling rounds were separated by a 6-8 week period. Eight surveys, equivalent to 266 sampling events were conducted over the two years.Sampling
Bees were collected using a combination of UV-reflecting pan traps (yellow, white, and blue) and sweep-netting techniques. Each plot was subdivided into five sub-plots measuring 20m x 20m; one sub-plot at each corner and the fifth in the center of the main plot. Additionally, two 2m wide by 50m long transects were set in an X-fashion across the main plot. A transect walk while sweep-netting was conducted along each transect for 20 minutes, giving a total of 40 minutes of sweep-netting per plot. Collected bees were transferred into 20ml vials of 70% ethanol. In each sub-plot, three pan-traps (one of each color) were placed on the ground, in plots that had less than 10cm high vegetation or, on 50cm high stakes in plots whose vegetation exceeded 10cm in height. Each pan-trap was filled with 200-300 ml of water to which a few drops of scentless liquid detergent had been added to break the surface tension. Pan-traps were recovered 30-36 hr later and the contents were decanted into 20ml vials containing 70% ethanol. For some events, opportunistic sampling using sweep nets was undertaken for 30-40 minutes in areas adjacent to the sample plots. In the lab, bees from each sampling event were dried, pinned, sorted into morphospecies groups, and identified first to genus level. Species identifications were done thereafter by collaborating bee systematists.Method steps
- Farmland included perennial gardens of Robusta coffee and subsistence gardens of short-term food crops like legumes, vegetables, and starchy staples (root crops, maize). Grasslands were mixed species grasses interspersed with herbaceous weeds and used for grazing. Woodland included degraded savanna woodland and one Eucalyptus plantation
Taxonomic Coverages
Geographic Coverages
Uganda. Bees were collected from Nakaseke, Luwero, and Kayunga districts. These districts lie within the southern part of the Lake Kyoga basin and the northeastern reaches of the Lake Victoria Basin agroecological zones.
Bibliographic Citations
Contacts
Anne M Akoloriginator
position: Associate Professor
Department of Zoology, Entomology & Fisheries Sciences, College of Natural Sciences, Makerere University
P.O. Box 7062
Kampala
UG
email: anne.akol@mak.ac.ug
Kelly C Lotts
originator
position: Vice President
Metalmark Web and Data LLC
2202 Franklin St
Bellingham
98225
Washington
US
email: lottskelly@gmail.com
Lydia Kabasomi
originator
position: Graduate Student
Department of Zoology, Entomology & Fisheries Sciences, College of Natural Sciences, Makerere University
P.O. Box 7062
Kampala
UG
email: lydia.kabasomi@yahoo.com
David Auk
originator
position: Graduate Student
Department of Zoology, Entomology & Fisheries Sciences, College of Natural Sciences, Makerere University
P.O. Box 7062
Kampala
UG
email: davidauk9@gmail.com
Skyler Burrows
originator
position: Adjunct Professor
Department of Biology, Utah State University, Logan
0300
Logan
84322
Utah
US
email: Skyler.Burrows@usu.edu
Alain Pauly
originator
position: Research Scientist
Tanzanian Wildlife Research Institute (TAWIRI)
P.O. Box 661
Arusha
TZ
email: alain.pauly54@gmail.com
Terry L Griswold
originator
position: Research Entomologist
USDA-ARS Pollinating Insects Research Unit, Utah State University
5310
Logan
84322
Utah
US
email: terry.griswold@usda.gov
Anne M Akol
metadata author
position: Associate Professor
Department of Zoology, Entomology & Fisheries Sciences, College of Natural Sciences, Makerere University
P.O. Box 7062
Kampala
UG
email: anne.akol@mak.ac.ug
Lawrence Monda
processor
position: Chief Information Officer
National Museums of Kenya
Box 40658
Nairobi
00100
Nairobi
KE
email: lmonda@museums.or.ke
homepage: http://www.museums.or.ke
userId: http://orcid.org/0000-0003-0299-0418
Esther W Mwangi
processor
position: Bioinformatics
National Museums of Kenya
Box 40658
Nairobi
00100
Nairobi
KE
email: ewmwangi@museums.or.ke
homepage: http://www.museums.or.ke
Anne M Akol
administrative point of contact
position: Associate Professor
Department of Zoology, Entomology & Fisheries Sciences, College of Natural Sciences, Makerere University
P.O. Box 7062
Kampala
UG
email: anne.akol@mak.ac.ug