78c5dcee-61c1-44be-9c47-8e9e2d03cb63 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:24:46 UK GEMINI 2.3 WGS 84 Rural smallholder agricultural field management surveys across Mozambique 2017-12-18 publication 2015-12-31 creation https://catalogue.ceh.ac.uk/id/78c5dcee-61c1-44be-9c47-8e9e2d03cb63 10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63 doi: 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 10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63 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. Full details about this dataset can be found at https://doi.org/10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63 Woollen, E. University of Edinburgh ewoollen@exseed.ed.ac.uk pointOfContact Woollen, E. University of Edinburgh e.woollen@ed.ac.uk https://orcid.org/0000-0002-6504-4835 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ryan, C.M. University of Edinburgh casey.ryan@ed.ac.uk https://orcid.org/0000-0002-1802-0128 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Nhaduco, O. Universidade Eduardo Mondlane, Faculdade de Agronomia e Engenharia Florestal enquiries@ceh.ac.uk author Da Costa, A.A. Universidade Lúrio enquiries@ceh.ac.uk author Rodrigues, C. Universidade Lúrio enquiries@ceh.ac.uk author Armando, F. Centro Polivalente Leão Dehon enquiries@ceh.ac.uk author Baumert, S. University of Edinburgh sophia.baumert@gmail.com https://orcid.org/0000-0003-2408-1303 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Zorilla-Miras, P. University of Edinburgh pzorrilla-miras@icatalist.eu https://orcid.org/0000-0002-5019-1015 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher University of Edinburgh EMAIL NOT PROVIDED owner notPlanned agriculture fertiliser pest GEMET - Concepts, version 4.1.3 2019-01-28 creation Mozambique Mabalane District Gaza Province Marrupa District Niassa Province Gurue District Zambezia Province GeoNames 2006-01-01 creation crops smallholder otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © University of Edinburgh otherRestrictions If you reuse this data, you should 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 textTable English utf8 farming 2014-05-01 2014-08-31 2015-05-01 2015-12-31 29.68 42.248 -27.479 -10.347 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/78c5dcee-61c1-44be-9c47-8e9e2d03cb63 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/78c5dcee-61c1-44be-9c47-8e9e2d03cb63.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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.