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Vegetation data from permanent sample plots established during a 2019 field campaign in Gorongosa National Park, Gorongosa District, Mozambique

This dataset contains tree species and associated measurements from an initial survey of 8 x 1 ha Permanent Sample Plots (PSP) and 2 x 1 ha biomass measurement plots established on the Eastern Plateau of Gorongosa National Park, Sofala, Mozambique, with intention of assessing the long-term impacts of tropical cyclone damage on woodland structure. Methodology used was in accordance with specifications of the Socio Ecological Observatory for Southern African Woodlands (SEOSAW) plot protocol. PSPs were established between 1st August 2019 to 1st October 2019. PSP establishment was undertaken by University of Edinburgh in collaboration with Eduardo Mondlane University and the Mozambique Institute of Agricultural Research (IIAM) with assistance of Gorongosa National Park Scientific Services Department. Full details about this dataset can be found at https://doi.org/10.5285/8ecabd05-9ad6-4e4a-861c-dd767aba57a0

Simple

Date (Publication)
2020-06-17
Identifier
https://catalogue.ceh.ac.uk/id/8ecabd05-9ad6-4e4a-861c-dd767aba57a0
Identifier
doi: / 10.5285/8ecabd05-9ad6-4e4a-861c-dd767aba57a0
Other citation details
Brade, T.K., Ryan, C.M., Fernando Junior, J., Vilanculos, A., Jeque, C. (2020). Vegetation data from permanent sample plots established during a 2019 field campaign in Gorongosa National Park, Gorongosa District, Mozambique. NERC Environmental Information Data Centre 10.5285/8ecabd05-9ad6-4e4a-861c-dd767aba57a0
Point of contact
  University of Edinburgh - Brade, T.K.
Author
  University of Edinburgh - Brade, T.K.
Author
  University of Edinburgh - Ryan, C.M.
https://orcid.org/0000-0002-1802-0128
Author
  Universide Eduardo Mondlane - Fernando Junior, J.
Author
  Instituto de Investigação Agrária de Moçambique - Vilanculos, A.
Author
  Instituto de Investigação Agrária de Moçambique - Jeque, C.
Publisher
  NERC Environmental Information Data Centre
Custodian
  NERC EDS Environmental Information Data Centre
Access constraints
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no limitations
Use constraints
otherRestrictions Other restrictions
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© Natural Environment Research Council
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
If you reuse this data, you should cite: Brade, T.K., Ryan, C.M., Fernando Junior, J., Vilanculos, A., Jeque, C. (2020). Vegetation data from permanent sample plots established during a 2019 field campaign in Gorongosa National Park, Gorongosa District, Mozambique. NERC Environmental Information Data Centre https://doi.org/10.5285/8ecabd05-9ad6-4e4a-861c-dd767aba57a0
Spatial representation type
textTable Text, table
Distance
100  urn:ogc:def:uom:EPSG::9001
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Biota
Begin date
2019-01-01
End date
2019-12-31
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Distribution format
  • Comma-separated values (CSV) ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
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dataset Dataset
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dataset

Conformance result

Date (Publication)
2010-12-08
Statement
Data were collected using physical datasheets (copies held by the University of Edinburgh) and entered as csv during and in the period immediately following fieldwork. A series of quality assurance checks were performed on each field and any inexplicable values were cross-checked with physical records to resolve. Species names and taxonomic reference were also standardised at this point.
File identifier
8ecabd05-9ad6-4e4a-861c-dd767aba57a0 XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-11-13T16:23:00
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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