Structure and composition of woodlands across Mozambique
https://doi.org/10.5285/70b5cdda-72df-4007-b10e-d75b4046e603
Download/Access
This dataset is made available under the terms of the Open Government Licence
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
© University of Edinburgh
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.
Publication date: 2017-12-18
View numbers valid from 01 June 2023
Download numbers valid from 20 June 2024
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2014-05-01 to 2014-09-30
2015-05-01 to 2015-12-31
Provenance & quality
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.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence 
Cite this dataset as:
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
© University of Edinburgh
Related
This dataset is included in the following collections
Citations
UNFCCC. Article 6.4 Supervisory Body (2023). Call for input 2023 - Issues included in the annotated agenda and related annexes of the eighth meeting of the Article 6.4 Supervisory Body-Berkeley Carbon Trading Project, UC. United Nations Framework Convention on Climate Change. https://unfccc.int/documents/632915
Correspondence/contact details
Other contacts
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
University of Edinburgh