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Razakamanarivo, H.; Razafimbelo, T.; Andriamananjara, A.; Rianahary, A.; Razafindrakoto, M.; Harinirina, A.

Braun-Blanquet percentage vegetation cover and indicator species data in Ankeniheny Zahamena forest corridor, Madagascar

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This dataset is made available under the terms of the Open Government Licence

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https://doi.org/10.5285/b31330cc-743c-431e-95cd-68b316efed0b
Data comprise records of percent vegetation cover using a category known as the Braun-Blanquet scale from a survey of indicator vegetation species carried out in the Ankeniheny Zahamena forest corridor in Madagascar. In addition, scientific name, local name, family name and life form (fern, shrub, herb, grass, vine or tree) of vegetation was recorded.

Data were collected as part of a project funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme under work package 4 P4GES project.
Publication date: 2017-03-03
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84

Temporal information

Temporal extent
2013-06-01    to    2017-02-28

Provenance & quality

Full materials and methods available from Supporting Information (Manual_ 1_Classical_Survey)
The estimation of percent cover has been used in the land use determination process. It consists of the evaluation of relative surface coverage of one species in a determined surface.
The percent (%) cover is estimated for the indicator species within a circle of 5m radius (area 78.54 m2) in which the inventory of trees with diameter at breast height (1.3 metres) of 5 to 10cm has been conducted. For each site, % cover was determined with a local botanist. The team uses a visual guide to estimate the % cover. It is recorded by using an 8 category scale known as the Braun-Blanquet scale.
Scale Cover
0 Not present
T Trace amount< 1%
1 1-5% cover
2 5-25% cover
3 25-50% cover
4 50-75% cover
5 75-95% cover
6 >95% cover

Licensing and constraints

This dataset is made available under the terms of the Open Government Licence

Cite this dataset as:
Razakamanarivo, H.; Razafimbelo, T.; Andriamananjara, A.; Rianahary, A.; Razafindrakoto, M.; Harinirina, A. (2017). Braun-Blanquet percentage vegetation cover and indicator species data in Ankeniheny Zahamena forest corridor, Madagascar. NERC Environmental Information Data Centre. https://doi.org/10.5285/b31330cc-743c-431e-95cd-68b316efed0b

© Laboratoire des Radio Isotopes, Université d'Antananarivo

Acknowledgement of the Laboratoire des Radio Isotopes, Université d'Antananarivo is required for products derived from these data

Related

This dataset is included in the following collections

Can Paying for Global Ecosystem Services reduce poverty? (P4GES)

Correspondence/contact details

Herintsitohaina Razakamanarivo
Laboratoire des Radio Isotopes, Université d'Antananarivo
Route d'Andraisoro
Antananarivo
MADAGASCAR
 herintsitohaina.razakamanarivo@gmail.com

Authors

Razakamanarivo, H.
Laboratoire des Radio Isotopes, Université d'Antananarivo
Razafimbelo, T.
Laboratoire des Radio Isotopes, Université d'Antananarivo
Andriamananjara, A.
Laboratoire des Radio Isotopes, Université d'Antananarivo
Rianahary, A.
Laboratoire des Radio Isotopes, Université d'Antananarivo
Razafindrakoto, M.
Laboratoire des Radio Isotopes, Université d'Antananarivo
Harinirina, A.
Laboratoire des Radio Isotopes, Université d'Antananarivo

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
economy
environment
Keywords
biological indicator , CAZ , corridor Ankeniheny Zahamena , ESPA P4GES , indicator species , Madagascar , vegetation
Funding
Natural Environment Research Council Award: NE/K010220/1
Natural Environment Research Council Award: NE/K010115/1
Natural Environment Research Council Award: NE/K008692/1
Last updated
29 February 2024 16:40