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Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda
The data presented in this article describe plant traits (ecological strategy, plant succession, biological form, plant distribution and conservation status), cover-abundance scores of individualized communities after the application of Multivariate Statistical Package (MVSP) software and coverage p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829135/ https://www.ncbi.nlm.nih.gov/pubmed/33532529 http://dx.doi.org/10.1016/j.dib.2021.106772 |
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author | Senyanzobe, J.M.V. Mulei, Josephine M. Bizuru, Elias Nsengumuremyi, Concorde |
author_facet | Senyanzobe, J.M.V. Mulei, Josephine M. Bizuru, Elias Nsengumuremyi, Concorde |
author_sort | Senyanzobe, J.M.V. |
collection | PubMed |
description | The data presented in this article describe plant traits (ecological strategy, plant succession, biological form, plant distribution and conservation status), cover-abundance scores of individualized communities after the application of Multivariate Statistical Package (MVSP) software and coverage percentage of species which compose the communities in areas sampled from Nyungwe forest. Taxonomic diversity indices (Shannon, Evenness and Richness) were also calculated and included in the dataset. The observed data can support the evaluation of Pteridium invasion in comparable forest types. |
format | Online Article Text |
id | pubmed-7829135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78291352021-02-01 Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda Senyanzobe, J.M.V. Mulei, Josephine M. Bizuru, Elias Nsengumuremyi, Concorde Data Brief Data Article The data presented in this article describe plant traits (ecological strategy, plant succession, biological form, plant distribution and conservation status), cover-abundance scores of individualized communities after the application of Multivariate Statistical Package (MVSP) software and coverage percentage of species which compose the communities in areas sampled from Nyungwe forest. Taxonomic diversity indices (Shannon, Evenness and Richness) were also calculated and included in the dataset. The observed data can support the evaluation of Pteridium invasion in comparable forest types. Elsevier 2021-01-18 /pmc/articles/PMC7829135/ /pubmed/33532529 http://dx.doi.org/10.1016/j.dib.2021.106772 Text en © 2021 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Senyanzobe, J.M.V. Mulei, Josephine M. Bizuru, Elias Nsengumuremyi, Concorde Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda |
title | Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda |
title_full | Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda |
title_fullStr | Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda |
title_full_unstemmed | Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda |
title_short | Data on vegetation sampling in areas dominated by Pteridium aquilinum in Nyungwe forest, Western Province of Rwanda |
title_sort | data on vegetation sampling in areas dominated by pteridium aquilinum in nyungwe forest, western province of rwanda |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829135/ https://www.ncbi.nlm.nih.gov/pubmed/33532529 http://dx.doi.org/10.1016/j.dib.2021.106772 |
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