Wood specific gravity for trees in Ankeniheny Zahamena forest corridor, Madagascar

• Published by: Environmental Information Data Centre
• Last updated: 16 February 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

[THIS DATASET HAS BEEN WITHDRAWN]. Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project Full details about this dataset can be found at https://doi.org/10.5285/5e9fe20b-8d00-4bd3-99cb-7989fa781348

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Link to the data	Format	File added	Data preview
Supporting information	ZIP	16 February 2023	Not available

Additional information

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• Added to data.gov.uk: 2021-06-25T18:32:12
• Access contraints: If you reuse this data, you should cite: Ramananantoandro, T., Razafimahatratra, A. R., Razafinarivo, R., Rinaelintsoa, M., Razakamanarivo, H. (2017). Wood specific gravity for trees in Ankeniheny Zahamena forest corridor, Madagascar. NERC Environmental Information Data Centre https://doi.org/10.5285/5e9fe20b-8d00-4bd3-99cb-7989fa781348
• Harvest GUID: 5e9fe20b-8d00-4bd3-99cb-7989fa781348
• Extent: Latitude: -11.945° to -25.608°
• Extent: Longitude: 43.191° to 50.483°
• Dataset reference date: 2017-03-03 (publication)
• Frequency of update: asNeeded
• Responsible party: Foresterie et environnement, ESSA-Université d'Antananarivo (pointOfContact, author); Laboratoire des Radio Isotopes Université d'Antananarivo (author); NERC Environmental Information Data Centre (publisher); NERC EDS Environmental Information Data Centre (custodian)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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