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

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

This dataset contains quantitative measurements of woodland structure and composition sampled in twenty-seven different villages across three Districts in Mozambique, Africa. Data were collected from 431 plots where tree stem structure and composition, litter and grass biomass, coarse woody debris, and canopy cover data were recorded. Woodlands within seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province were sampled. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. 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/10.5285/70b5cdda-72df-4007-b10e-d75b4046e603

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

The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven 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. Lists of local tree names were collated from several forest plots and agricultural field surveys occurring within the sampled villages, and their species identified in the field by the authors and/or from dried and pressed samples by botanists at the Universidade Eduardo Mondlane in Maputo. Tree species uses by local populations were recorded through a mixture of key informant interviews, focus group discussions, village surveys and ad-hoc observations. 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/10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03

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