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Economy

43 record(s)
 
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  • 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

  • Data comprise scenarios of how land use can be in the future and how will it affect ecosystem services in rural Mozambique. The scenarios were constructed from information gathered at five workshops held in Maputo, Xai Xai, Quelimane and Lichinga in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being (e.g. ecosystem services) and their causes (e.g. change in land use) in the Miombo woodland area of rural Mozambique and identify actions that could contribute to poverty alleviation and biodiversity conservation. The final objective was to construct scenarios of how the land use can be in Mozambique in the future (2035). The data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. Full details about this dataset can be found at https://doi.org/10.5285/97c65c35-1db5-49d5-8ee0-ae5c7b699634

  • This dataset contains the transcripts of interviews on the current structure of the main charcoal supply chains from seven villages in the Mabalane district of Gaza province to Maputo, Mozambique. The seven villages were at different stages of the charcoal production process within similar soils, rainfall, and vegetation types. Semi-structured interviews and focus group discussions were conducted with key informants (e.g. village leaders, charcoal producers, wholesalers, truck drivers and forest officers), from May to October 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/10.5285/56bae7ce-4798-41a4-b702-2f847952f7ae

  • Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood, wood for charcoal production, etc.) and their causes (e.g. change in land use) in rural Mozambique. Information was gathered at 20 workshops held in Maputo, Xai Xai, Lichinga, Quelimane, and at village level in the districts of Mabalane, Marrupa and Gurue in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being and their causes in the miombo woodland area of rural Mozambique. One of the objectives of the project was to construct Bayesian belief networks (BBNs) to model future land use change scenarios in rural Mozambique using a participatory approach, to evaluate the consequences of deforestation in the well-being of the rural population. The data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. Full details about this dataset can be found at https://doi.org/10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd

  • This dataset contains the transcripts of interviews and discussion groups on the current soya production from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from different stages of 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. Interviews and focus group discussions were conducted with village small-scale soya producers, emergent soya farmers, managers of commercial soya producing operations, district officer, technicians of NGOs, formal and informal traders 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/10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c

  • 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

  • Data comprise soil profile (soil texture and pit description during fieldwork) and soil chemistry (bulk density, carbon content, carbon stock and organic carbon content obtained with thirteen carbon isotope analysis) from samples taken in the Ankeniheny Zahamena forest corridor, Madagascar. Data were collected as part of a project funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme under work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1. Full details about this dataset can be found at https://doi.org/10.5285/c3884aa0-b083-469d-8a0d-fdbbb79aff05

  • Data comprise site information (site identifier, name, location, zone of interest, land use type, altitude, slope, topographic position and age of deforest and fallow) and historical information from local people in the Ankeniheny Zahamena forest corridor, Madagascar. Data were collected as part of a project funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme under work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1. Full details about this dataset can be found at https://doi.org/10.5285/5771191f-8c12-40bf-af62-2624876616de

  • This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own transport) and wellbeing of respondent households in rural Mozambique. Data are also included from a participatory wealth ranking exercise carried out in each village. Data were collected in a total of 27 villages: 7 villages in Mabalane District in Gaza Province, 10 villages in Gurué District in Zambezia Province and 10 villages in Marrupa District in Niassa Province. Data collection was carried out in 2014 and 2015, using a one-off environmentally-augmented household income and assets survey administered by enumerators in the locally appropriate language. The objective of the ACES project was to explore interactions between woodland change, ecosystem services and wellbeing in rural Mozambican households. The study used a space-for-time substitution approach, with villages in each district chosen to represent different points on gradients of land use intensity with respect to the dominant land use types in each district (charcoal production in Mabalane, commercial agriculture in Gurué and subsistence agriculture in Marrupa). Data were collected primarily by researchers based in the School of Geosciences at the University of Edinburgh and at the University of Eduardo Mondlane in Mozambique. All the data collected using the household survey are included in this dataset barring those data which would compromise the anonymity of respondents, such as the names and household coordinates of those interviewed. Full details about this dataset can be found at https://doi.org/10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858

  • Data comprise records of percent vegetation cover using a category known as the Braun-Blanquet scale from a survey of indicator vegetation species carried out in the Ankeniheny Zahamena forest corridor in Madagascar. In addition, scientific name, local name, family name and life form (fern, shrub, herb, grass, vine or tree) of vegetation was recorded. Data were collected as part of a project funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme under work package 4 P4GES project. Full details about this dataset can be found at https://doi.org/10.5285/b31330cc-743c-431e-95cd-68b316efed0b