Woollen, E. et al

Rural smallholder agricultural field management surveys across Mozambique

This dataset comprises 259 smallholder agricultural field surveys collected from twenty-six villages across three Districts in Mozambique, Africa. Surveys were conducted in ten fields in each of six villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District, Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Fields were selected based on their age, location, and status as an active field at the time of the survey (i.e. no fallow fields were sampled). Structured interviews using questionnaires were conducted with each farmer to obtain information about current management practices (e.g. use of inputs, tilling, fire and residue management), age of the field, crops planted, crop yields, fallow cycles, floods, erosion and other problems such as crop pests and wild animals. The survey also includes qualitative observations about the fields at the time of the interview, including standing live trees and cropping systems. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique.

Publication date: 2017-12-18

Get the data

This dataset will be available under the terms of the Open Government Licence

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

You must cite: Woollen, E.; Ryan, C.M.; Nhaduco, O.; Da Costa, A.A.; Rodrigues, C.; Armando, F.; Baumert, S.; Zorilla-Miras, P. (2017). Rural smallholder agricultural field management surveys across Mozambique. NERC Environmental Information Data Centre. https://doi.org/10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63


© University of Edinburgh


Study area
Temporal extent
2014-05-01    to    2014-08-31
2015-05-01    to    2015-12-31

Provenance & quality

All data were quality assured by the lead author. When in the field, all interviewers were trained before conducting interviews with farmers to ensure consistent robust interview techniques and recording of data. Data were continually checked for errors as it was collected. All interviewers were able to translate directly from the local language to Portuguese, and all data were recorded in Portuguese. All translations from Portuguese to English were done by the lead author. Wherever possible, pre-set answers or binary responses to questions were used to systematically record qualitative observations and avoid ambiguous results.
All quantitative estimates of crop yields must be used with caution, as data are based on recall data and unit conversions are uncertain and should be considered as rough estimates of yields. Unit conversions for yield data were based on local measurements of harvest units and weights where possible, or from government data. Other estimates are based on best available literature or rough estimates of weights and volume conversions. In cases where the volume or size of the local unit of harvest was not specified (e.g. sack or bucket), the most common volume or size of the unit reported in household surveys in each village were used.

Correspondence/contact details

Woollen, E.
University of Edinburgh


Woollen, E.
University of Edinburgh
Ryan, C.M.
University of Edinburgh
Nhaduco, O.
Universidade Eduardo Mondlane, Faculdade de Agronomia e Engenharia Florestal
Da Costa, A.A.
Universidade Lúrio
Rodrigues, C.
Universidade Lúrio
Armando, F.
Centro Polivalente Leão Dehon
Baumert, S.
University of Edinburgh
Zorilla-Miras, P.
University of Edinburgh

Other contacts

Environmental Information Data Centre
NERC Environmental Information Data Centre

Additional metadata

Topic categories
agriculture,  crops,  fertiliser,  Gaza Province Gurue District Mabalane District Marrupa District Mozambique Niassa Province pests,  smallholder,  Zambezia Province
Natural Environment Research Council Award: NE/K010395/1
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
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