49a70237-c579-4669-b126-3f23d494aba6 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 2025-11-13T16:25:35 UK GEMINI 2.3 WGS 84 Qualitative data on socio-economic characteristics from seven villages in Mabalane, Mozambique 2017-01-09 publication 2014-09-30 creation https://catalogue.ceh.ac.uk/id/49a70237-c579-4669-b126-3f23d494aba6 10.5285/49a70237-c579-4669-b126-3f23d494aba6 doi: Vollmer, F., Luz, A., Baumert, S. (2017). Qualitative data on socio-economic characteristics from seven villages in Mabalane, Mozambique. NERC Environmental Information Data Centre 10.5285/49a70237-c579-4669-b126-3f23d494aba6 This dataset contains the transcripts of interviews and discussion groups from seven villages in the Mabalane district, Gaza province, Mozambique. The seven villages were selected from a forest degradation gradient running from villages with abundant undisturbed forest areas to those with degraded forests, mainly driven by charcoal production. The villages had similar infrastructure, soils, rainfall, and vegetation types. The dataset contains information on seasonality, how availability and use of products from the forest 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 May and September 2014. 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/10.5285/49a70237-c579-4669-b126-3f23d494aba6 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 Vollmer, F. University of Edinburgh fvollmer@ed.ac.uk author Luz, A. Centre for Ecology, Evolution and Environmental Changes anaccluz@gmail.com author Baumert, S. Universidade Eduardo Mondlane s.baumert@ed.ac.uk author notPlanned charcoal GEMET - Concepts, version 4.1.3 2019-01-28 creation Mozambique Mabalane GeoNames 2006-01-01 creation ACES ESPA programme 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: Vollmer, F., Luz, A., Baumert, S. (2017). Qualitative data on socio-economic characteristics from seven villages in Mabalane, Mozambique. NERC Environmental Information Data Centre https://doi.org/10.5285/49a70237-c579-4669-b126-3f23d494aba6 textTable English utf8 economy 2014-05-01 2014-09-30 32.541 32.693 -23.945 -23.776 Comma-separated values (CSV) rich text format NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/49a70237-c579-4669-b126-3f23d494aba6 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/49a70237-c579-4669-b126-3f23d494aba6.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 each exercise field protocols were prepared in Portuguese. 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. The researcher was always accompanied by a translator/assistant speaking the local language (native speaker). If needed, all questions were translated from Portuguese to Changana 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.