• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013)

The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in northeastern Kenya. The second comprises of scores from proportional piling exercises which showed the distribution of wealth categories and livestock species kept. The study was conducted between August and October, 2013 and the data were collected as open-ended meeting notes and audio clips captured using digital recorders. Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. Thirteen FGDs were held in the irrigated areas in Bura and Hola, Tana River County involving farmers who grew a variety of crops for subsistence and commercial purposes. The others were held in Ijara and Sangailu, Garissa County inhabited by transhumance pastoralists. Each group comprised of 10 to 12 people and the discussions were guided by a check list. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. The aim of the study was to collate perceptions of land use change and their effects on ecosystem services. The data were collected by enumerators trained by experienced researchers from the University of Nairobi and the International Livestock Research Institute (Kenya). This dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the CGIAR Research Program Agriculture for Nutrition and Health. Full details about this dataset can be found at https://doi.org/10.5285/4f569d73-30c5-4b12-bca7-8901fb567594

Simple

Date (Publication)
2017-05-03
Date (Creation)
2013-10-29
Citation identifier
https://catalogue.ceh.ac.uk/id/4f569d73-30c5-4b12-bca7-8901fb567594
Citation identifier
doi: / 10.5285/4f569d73-30c5-4b12-bca7-8901fb567594
Other citation details

Bukachi, S.A., Mwihaki, C., Grace, D., Bett, B. (2017). Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013). NERC Environmental Information Data Centre 10.5285/4f569d73-30c5-4b12-bca7-8901fb567594

Point of contact
Organisation name Individual name Electronic mail address Role
International Livestock Research Institute (ILRI) Kenya Bett, B.

b.bett@cgiar.org

Point of contact
University of Nairobi Bukachi, S.A.

sallybukachi@yahoo.com

Author
University of Nairobi

Mwihaki, C.

cmwihaki20@yahoo.com

Author
International Livestock Research Institute (ILRI) Kenya Grace, D.

d.grace@cgiar.org

Author
International Livestock Research Institute (ILRI) Kenya Bett, B.

b.bett@cgiar.org

Author
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC Environmental Information Data Centre

info@eidc.ac.uk

Publisher
Maintenance and update frequency
Not planned
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is made available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

© University of Nairobi

Use constraints
Other restrictions
Other constraints

© International Livestock Research Institute

Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Bukachi, S.A., Mwihaki, C., Grace, D., Bett, B. (2017). Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013). NERC Environmental Information Data Centre https://doi.org/10.5285/4f569d73-30c5-4b12-bca7-8901fb567594

Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Economy
  • Environment
Begin date
2013-08-01
End date
2013-10-31
N
S
E
W
thumbnail




Unique resource identifier
WGS 84
Distribution format
Name Version

Text (.txt) file

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://catalogue.ceh.ac.uk/download?fileIdentifier=4f569d73-30c5-4b12-bca7-8901fb567594

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/4f569d73-30c5-4b12-bca7-8901fb567594.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

Records from the digital recorders were transcribed and cross-checked with the notes made in the course of the meeting for quality control. Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. Transcripts were analysed according to the framework developed by Hennink et al. (2011). The data were split into two: (i) responses to open ended questions stored as text files, and (ii) scores from proportional piling exercises which showed the distribution of wealth categories (rich, moderate and poor categories) and livestock species kept (cattle, sheep, goats, camels, chicken and donkeys). These scores were entered into Microsoft Excel and saved as a csv file for use in statistical analysis that employed non-parametric tests. Variables that are common between these two datasets are: date of the field survey (date), study site, village and group (men only, women only or mixed) involved in the discussions. Data was exported from the Excel files as .csv files for ingestion into the EIDC. The Microsoft Word files were exported as .txt files for ingestion into the EIDC.

Metadata

File identifier
4f569d73-30c5-4b12-bca7-8901fb567594 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-03-21T09:33:58
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

thumbnail

Keywords



Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •