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Bat and bird survey data from different agricultural land use gradients in Ghana and Zambia, 2020-2023

This dataset consists of bird observation and mist netting records for both bats and birds collected from December 2020 to March 2023. The data collection employed a mixed-methods approach incorporating point counts and mist netting techniques. Surveys were carried out in multiple localities, encompassing three sites in Ghana and 5 in Zambia. The data were collected as part of the Social and Environmental Trade-Offs in African Agriculture (Sentinel) project, funded by UK Research and Innovation via the Global Challenges Research Fund (Grant Number: ES/P011306/1). Full details about this dataset can be found at https://doi.org/10.5285/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d

Simple

Date (Publication)
2024-04-16
Citation identifier
https://catalogue.ceh.ac.uk/id/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d
Citation identifier
doi: / 10.5285/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d
Other citation details

Devenish, A.J.M., Montauban, C.M., Dellavalle, A., Annorbah, N.N.D., Asamoah, A., Boafo, K., Budinski, I., Chibesa, M., Downe, B., Dwumah, K.A., Ford, M., Jamie, G., Kenyenso, S., Mwale, M., Mwila, J., Taylor-Boyd, H., Willems, F., Tobias, J.A. (2024). Bat and bird survey data from different agricultural land use gradients in Ghana and Zambia, 2020-2023. NERC EDS Environmental Information Data Centre 10.5285/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d

Point of contact
Organisation name Individual name Electronic mail address Role
Royal Botanic Gardens Kew Devenish, A.J.M.

a.devenish@kew.org

Author
Imperial College London Montauban, C.M.

cecilia.montauban19@imperial.ac.uk

Author
Imperial College London Dellavalle, A.

a.dellavalle21@imperial.ac.uk

Author
University of Environment and Sustainable Development Annorbah, N.N.D.

nd.annorbah@gmail.com

Author
Ghana Wildlife Society

Asamoah, A.

aasamoah@mail.com

Author
Ghana Wildlife Society

Boafo, K.

slyfeggy@yahoo.com

Author
University of Belgrade Budinski, I.

ivana.budinski@ibiss.bg.ac.rs

Author
Copperbelt University Chibesa, M.

moses.chibesa@cbu.ac.zm

Author
International Institute for Environment and Development Downe, B.

Beth.downe@iied.org

Author
Kwame Nkrumah University of Science and Technology

Dwumah, K.A.

dkafrifa@gmail.com

Author

Sentinel Project

Ford, M.

hermanusmike@gmail.com

Author
University of Cambridge

Jamie, G.

gaj29@cam.ac.uk

Author
Ghana Wildlife Society

Kenyenso, S.

solowise86@yahoo.com

Author
Livingstone Museum

Mwale, M.

mwalemarge@gmail.com

Author

Panthera Wild Cat Conservation

Mwila, J.

jmwila@panthera.org

Author
University of Stirling

Taylor-Boyd, H.

h.l.taylorboyd1@stir.ac.uk

Author

Kigelia Solutions Ltd

Willems, F.

fwls01@gmail.com

Author
Imperial College London Tobias, J.A.

j.tobias@imperial.ac.uk

Author
Royal Botanic Gardens Kew Devenish, A.

a.devenish@kew.org

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher
Imperial College London

cecilia.montauban19@imperial.ac.uk

Owner
Copperbelt University

moses.chibesa@cbu.ac.zm

Owner
University of Ghana

aasamoah@mail.com

Owner

GEMET - Concepts, version 4.1.3

  • bird
  • deforestation
Keywords
  • Biodiversity
  • Agriculture
  • Ghana

  • Zambia

  • sub–Saharan Africa

  • Agricultural expansion

  • Biodiversity impacts

  • Forest loss

  • bat

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Devenish, A.J.M., Montauban, C.M., Dellavalle, A., Annorbah, N.N.D., Asamoah, A., Boafo, K., Budinski, I., Chibesa, M., Downe, B., Dwumah, K.A., Ford, M., Jamie, G., Kenyenso, S., Mwale, M., Mwila, J., Taylor-Boyd, H., Willems, F., Tobias, J.A. (2024). Bat and bird survey data from different agricultural land use gradients in Ghana and Zambia, 2020-2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d

Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Biota
Begin date
2020-12-01
End date
2023-03-31
N
S
E
W
thumbnail




Unique resource identifier
WGS 84
Distribution format
Name Version

Comma-separated values (CSV)

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Data were collected between December 2020 and March 2023 in several localities within Ghana (n = 3) and Zambia (n = 5). A two-tier stratified random sampling design was employed to select the study sites within each locality. Initially, a spatially referenced grid measuring 1 km × 1 km was used to overlay the selected locality, segregating it into potential study areas. Following this, each site was categorised into one of five broad classifications based on the dominant land type within the grid cell: • Not Applicable (NA): Areas unsuitable for sampling, such as urban centres. • Agriculture Only: Regions where over 95% of the grid cell is covered by agricultural land. • Forest edge: Locations with 25-75% of the grid cell encompassed by forest land. • Forest: Regions where more than 95% of the grid cell is forest land. A subset of sites within the categories of 'Agriculture,' 'Forest edge,' and 'Forest' were randomly selected for sampling. At each survey point, birds were surveyed using a standardised point count methodology (Gregory et al., 2004). The sampling at these locations was conducted from dawn and lasted approximately 3 hours (with some variation depending on weather conditions), a timeframe chosen to coincide with the peak activity of forest birds. Surveying for bats was conducted at the same locations used for bird mist netting. A combination of mist-nets and harp traps were deployed at each site, with sampling taking place on separate nights. Traps were established at sunset and operated for a minimum duration of 4 hours, with regular checks conducted every 15 to 30 minutes. Several data inputters were used to digitally input the field data sheets. Then the completed dataset was compiled, error checked and validated.

Metadata

File identifier
c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:25:02
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

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Keywords



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