f82f7ad8-0e98-41cb-951e-be64ffd36078 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 2025-11-13T16:20:37 UK GEMINI 2.3 WGS 84 Qualitative data on socio-economic characteristics from ten villages in Gurue, Mozambique 2017-01-09 publication 2015-12-31 creation https://catalogue.ceh.ac.uk/id/f82f7ad8-0e98-41cb-951e-be64ffd36078 10.5285/f82f7ad8-0e98-41cb-951e-be64ffd36078 doi: Lupera, F., Carvalho, M., Baumert, S., Vollmer, F. (2017). Qualitative data on socio-economic characteristics from ten villages in Gurue, Mozambique. NERC Environmental Information Data Centre 10.5285/f82f7ad8-0e98-41cb-951e-be64ffd36078 This dataset contains the transcripts of interviews and discussion groups from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from a land scarcity gradient running from villages with abundant land to those with intense land constraints, mainly driven by expanding agricultural activities and population density. The villages had similar infrastructure, soils, rainfall, and vegetation types. The dataset contains information on participatory mapping of the village characteristics, seasonality, how agricultural activity has changed over time (trend analysis), wealth ranking within the villages and differences between wealth statuses, and profiles/characteristics of each village. Interviews were conducted with groups in each village or the leader of the village, between July and December 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/f82f7ad8-0e98-41cb-951e-be64ffd36078 Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk pointOfContact Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk resourceProvider NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher Lupera, F. Universidade Lurio luperafabiao@gmail.com author Carvalho, M. Universidade Eduardo Mondlane marianafruitdove@gmail.com author Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk author Vollmer, F. University of Edinburgh fvollmer@ed.ac.uk author notPlanned Mozambique Gurue Zambezia GeoNames 2006-01-01 creation ACES ESPA programme soya otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Lupera, F., Carvalho, M., Baumert, S., Vollmer, F. (2017). Qualitative data on socio-economic characteristics from ten villages in Gurue, Mozambique. NERC Environmental Information Data Centre https://doi.org/10.5285/f82f7ad8-0e98-41cb-951e-be64ffd36078 textTable English utf8 economy 2015-07-01 2015-12-31 36.96 37.012 -15.493 -15.448 rich text format Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/f82f7ad8-0e98-41cb-951e-be64ffd36078 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/f82f7ad8-0e98-41cb-951e-be64ffd36078.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 For the interviews with the different actor groups, guidelines with questions in Portuguese were prepared. Most interviews were conducted by the lead researcher together with one assistant/translator. Prior to each interview the assistant was trained on the objective of the interview and the way they should ask the questions. At a later stage, the trained assistant conducted some interviews. If needed, all questions were translated from Portuguese to Elomwe and vice versa. By discussing various topics repeatedly with different groups/persons, information could be validated and highlighted from different perspectives. Furthermore, context information gained through interviews, conversations and focus group discussions helped to gradually better focus the interviews. After each interview, all information was discussed either with the assistant or a colleague. This helped to improve the understanding of what was said. In case of lack of understanding, clarification was sought via communications with locals. Back in the office, all notes were written down in English. Notes taken by the assistant were recorded in Portuguese and translated to English.