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Scenarios of future land use change in Mozambique (2014 and 2015)

Publisher
Environmental Information Data Centre
Updated
4 September 2026
Topic
Not set
Licence
Not set

Summary

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

Data links

Link Format Preview Updated
Download the data 4/9/2026
Supporting information ZIP 4/9/2026

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Additional information

Source Metadata
XML, HTML
Date added
02 September 2026
Harvest GUID
97c65c35-1db5-49d5-8ee0-ae5c7b699634
Extent (Latitude)
-10.33° to -26.92°
Extent (Longitude)
30.21° to 41.05°
Dataset reference date (publication)
2018-11-06
Frequency of update
notPlanned
Access constraints
© University of Edinburgh
Responsible party
Icatalist, S.L. (author, pointOfContact); IUCN Mozambique (author); University of Diffa, Niger (author); (author, publisher, owner, custodian); Unaffiliated (author)
ISO 19139 resource type
dataset
Metadata language
eng