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Competition Indices and Their Relationship With Basal Area Increment of Araucaria
| Content Provider | Scilit |
|---|---|
| Author | Costa, Emanuel Arnoni Finger, César Augusto Guimarães Hess, André Felipe |
| Copyright Year | 2018 |
| Description | Models that report the effect of competition are important for forest management since forests with higher levels of competition have lower increment rates, and their use is necessary to plan forest interventions. Thus, this study aimed to assess the effect of competition in the basal area increment of individual trees of Araucaria angustifolia (Bertol.) Kuntze in a natural forest. A total of 397 subject trees were measured, covering the diametric range. The dendrometric and morphometric characteristics of subject trees and their competitors were obtained, and 22 distance-dependent and distance-independent competition indices were calculated, in addition to increment cores extracted radially from the trunk at diameter at breast height. The relationship between models of periodic annual increment in basal area based on competition indices has allowed to obtain R2 values of 0.425 and Syx% ≥ 50.2. The multivariate technique of principal component analysis has shown that three principal components explain 78.43% of total variation. The first component was responsible for explaining 52.95%, with similar eigenvector for 11 competition indices, evidencing that these models can be used to describe especies competition, although they show different variables and mathematical equations in calculations. Results show the importance of competition to predict increment of Araucaria in individual trees. |
| ISSN | 19169752 |
| e-ISSN | 19169760 |
| DOI | 10.5539/jas.v10n5p198 |
| Journal | Journal of Agricultural Science |
| Issue Number | 5 |
| Volume Number | 10 |
| Language | English |
| Publisher | Canadian Center of Science and Education |
| Publisher Date | 2018-04-11 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Competition Indices Area Increment Subject Trees |
| Content Type | Text |
| Resource Type | Article |