Guenat, S. ; Kunin, W.E.; Dougill, A.J.; Dallimer, M.

Abundance of pollinators and diversity of bees in Ghana and the effect of urbanisation and management practices

Data consists of abundance counts and diversity of pollinators collected in Ghana. Pollinators were sampled with pan-traps between August and November 2016 in 126 greenspaces spread over an urbanisation gradient and three management practices (amenity lands, farmed sites and informal greenspaces) around Sunyani and Techiman, Ghana. All insects were identified to order in the field. Samples were stored in 70% alcohol before being pinned for identification. Bees and wasps were pinned and differentiated with microscopy based on Goulet and Hubert (1993). Bees were subsequently identified with microscopy to morpho-species following Eardley, Kuhlmann and Pauly (2010).

Publication date: 2018-08-31

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This dataset is made available under the terms of the Open Government Licence

Format of the dataset : Comma-separated values (CSV)

You must cite: Guenat, S. ; Kunin, W.E.; Dougill, A.J.; Dallimer, M. (2018). Abundance of pollinators and diversity of bees in Ghana and the effect of urbanisation and management practices. NERC Environmental Information Data Centre.


© Natural Environment Research Council


Study area
Temporal extent
2016-08-01    to    2018-11-30

Provenance & quality

Bee functional diversity was determined based on the literature through a selection of traits relevant for pollinators, namely habitat, pollen specialisation, nesting behaviour, body size (inter-tegula distance measured on all specimens with a caliper), tongue length and sociality.

Habitats were described by a visual estimation of the proportion of six habitat features in a 200m radius around the sampling site, namely unmanaged ground vegetation, regularly mown or grazed vegetation, shrub layer vegetation, tree layer vegetation, bare ground and concrete. We estimated the floral resources in a 1m circle around the pan-trap by (1) counting the flowering plant species richness, (2) estimating each species' flower head surface and (3) counting flower head abundance. Identification and analysis were carried out at the University of Leeds, 2017.

Supplemental information

Other useful information regarding this dataset:

Eardley, C., Kuhlmann, M., Pauly, A. (2010). The bee genera and subgenera of sub-Saharan Africa. Belgian Development Cooperation.
Goulet, H. & Huber, J.T. (1993) Hymenoptera of the world: an identification guide to families. Agriculture Canada, Ottawa, Ontario (Canada).

Correspondence/contact details

Solène Guenat
University of Leeds
Sustainability Research Institute


Guenat, S.
University of Leeds
Kunin, W.E.
University of Leeds
Dougill, A.J.
University of Leeds

Other contacts

Environmental Information Data Centre
NERC Environmental Information Data Centre

Additional metadata

Topic categories
Allodape spp. Amegilla spp. Anthophora Apis mellifera Apis spp. Braunsapis spp. Ceratina spp. Chalicodoma spp. Hyaleus spp.,  Lasioglossum spp. Lipotriches spp. Macrogalea spp. Megachile spp. Meliponula spp. Notyhyaleus spp.,  Patellapis spp. Pollinators Pseudapis spp. Seladonia spp. Tetralonia spp. Thrinchostoma spp. Xylocopa spp.
Natural Environment Research Council Award: NE/L002574/1
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Last updated