70b5cdda-72df-4007-b10e-d75b4046e603 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 2025-11-13T16:20:22 UK GEMINI 2.3 WGS 84 Structure and composition of woodlands across Mozambique 2017-12-18 publication 2015-12-31 creation https://catalogue.ceh.ac.uk/id/70b5cdda-72df-4007-b10e-d75b4046e603 10.5285/70b5cdda-72df-4007-b10e-d75b4046e603 doi: Woollen, E., Ryan, C.M., Nhaduco, O., Daude, I.A., Manguiao, A.A., Da Costa, A.A., Lisboa, S.N., Junior, J.F., Mutemba, L., Pais, A., Zavale, M., Cumbula, S., Xerinda, H., Buque, H., Meneses, D., Rodrigues, C., Mário, A.M., Ribeiro, N., Domingos, L.P., Mbandze, A., Stedham, R., Jennings, P. (2017). Structure and composition of woodlands across Mozambique. NERC Environmental Information Data Centre 10.5285/70b5cdda-72df-4007-b10e-d75b4046e603 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 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 enquiries@ceh.ac.uk author Daude, I.A. Universidade Lurio enquiries@ceh.ac.uk author Manguiao, A.A. Universidade Lurio enquiries@ceh.ac.uk author Da Costa, A.A. Universidade Lurio enquiries@ceh.ac.uk author Lisboa, S.N. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Junior, J.F. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Mutemba, L. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Pais, A. Universidade Zambeze enquiries@ceh.ac.uk author Zavale, M. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Cumbula, S. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Xerinda, H. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Buque, H. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Meneses, D. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Rodrigues, C. Universidade Lurio enquiries@ceh.ac.uk author Mário, A.M. Universidade Lurio enquiries@ceh.ac.uk author Ribeiro, N. Universidade Eduardo Mondlane enquiries@ceh.ac.uk author Domingos, L.P. Universidade Lurio enquiries@ceh.ac.uk author Mbandze, A. Universidade Lurio enquiries@ceh.ac.uk author Stedham, R. University of Edinburgh enquiries@ceh.ac.uk author Jennings, P. University of Edinburgh enquiries@ceh.ac.uk 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 decomposition litter grass biomass tree 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 woody debris leaf litter grass biomass stem measurements tree stem 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., Daude, I.A., Manguiao, A.A., Da Costa, A.A., Lisboa, S.N., Junior, J.F., Mutemba, L., Pais, A., Zavale, M., Cumbula, S., Xerinda, H., Buque, H., Meneses, D., Rodrigues, C., Mário, A.M., Ribeiro, N., Domingos, L.P., Mbandze, A., Stedham, R., Jennings, P. (2017). Structure and composition of woodlands across Mozambique. NERC Environmental Information Data Centre https://doi.org/10.5285/70b5cdda-72df-4007-b10e-d75b4046e603 textTable English utf8 biota 2014-05-01 2014-09-30 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/70b5cdda-72df-4007-b10e-d75b4046e603 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/70b5cdda-72df-4007-b10e-d75b4046e603.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 teams were trained in data collection methods to ensure consistent robust measurements, and data were continually checked for errors as it was collected. All field teams had a translator to translate from the local language to Portuguese. All data were cleaned post digital entry by checking for extreme outliers in the dataset or unexpected values. Anomalous entries were corrected where possible, or were removed and treated as no record. All observations were recorded in Portuguese, and translated to English by the lead author. All of the data were collected electronically in the field for Marrupa and Gurue survey sites using tablets and ODK software. Wherever possible, pre-set answers or binary responses were used (e.g. has the plot been recently burned: true or false) to systematically record qualitative observations and avoid ambiguous results.