regenerative potential of arboreal species in a fragment of the atlantic forest, pernambuco, brazil
Clicks: 156
ID: 254332
2017
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
0.6
/100
2 views
2 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
The objective was to characterize the regenerating stratum of a Dense Ombrophilous Lowland Forest fragment, through evaluations of richness, structure and diversity. A total of 40 plots of 25 m² (5 m x 5 m) were allocated to estimate the natural regeneration rates per species for each class of plant size (RNC), in order to obtain the total natural regeneration index (RNT). The analysis was performed with individuals with CAP ≤ 15.0 cm and height equal or superior to 1.0 m. The height classes were pre-determined, where: C1 = 1.0 m-2.0 m; C2 = 2.1 m-3.0 m; C3 = > 3.0 m. We sampled 1197 individuals distributed in 81 species, 31 families and 51 genera. The Fabaceae family was richer, followed by Melastomataceae and Myrtaceae. The species Protium heptaphyllum was highlighted with the highest value of importance (VI), presenting 14.64% of the total of VI. The species that presented the greatest RNTs were: Protium heptaphyllum (Aubl.) Marchand, Thyrsodium spruceanum Benth., Eschweilera ovata (Cambess.) Miers e Brosimum guianense (Aubl.) Huber. In relation to the successional classification, there was a predominance of the species of beginning of succession, proving the young condition of the forest. The results show that the studied fragment presents a good regeneration capacity, allowing greater richness and diversity of species of the adult tree stratum in the long term.
Reference Key |
lima2017revistaregenerative
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
---|---|
Authors | ;Rosival Barros de Andrade Lima;Luiz Carlos Marangon;Fernando José Freire;Ana Lícia Patriota Feliciano;Roseane Karla Soares da Silva |
Journal | sensors |
Year | 2017 |
DOI | 10.18378/rvads.v12i4.5002 |
URL | |
Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.