Competition indices after reduced impact logging in the Brazilian Amazon. (1st March 2021)

• Record Type: Journal Article
• Authors: Barros de Oliveira, Erica Karolina; Rezende, Alba Valéria; Mazzei, Lucas; Murta Júnior, Leonidas Soares; Oliveira Castro, Renato Vinícius; Neves d'Oliveira, Marcus Vinicio; Barros, Quétila Souza
• Is Part Of: Journal of environmental management. Volume 281(2021)
• Publication Date: 2021-03-01
• Subjects: BAL -- Amazon forest -- Forest harvesting -- Basal area growth -- Tree mortality; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2020.111898
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Competition for resources can affect growth and increase mortality in forest stands. The effects of this process are little known, especially in areas subjected to forest management which show distinct growth dynamics when compared to unmanaged natural areas. This study aimed to estimate, evaluate and select the best fit competition indices ( CI ) for individual trees in a managed forest in the eastern Amazon. The data used originated from 18 permanent plots of 1 ha each, which were monitored for 12 years after Reduced Impact Logging ( RIL ). For the competition analysis, 23 indices were tested. CIs were evaluated based on graphical analyses and linear correlation coefficients ( r ) between each index and variables, basal area growth ( Δ G ), probability of mortality ( P m ), and post-logging period ( PLP ). In addition, the partial F-test was applied to verify how well the calculated CIs explain the variations observed in Δ G and P ( m ) . The distance-independent index for BAL (Basal Area Larger) performed the best. For the distance-dependent and semi-independent indices, the best interactions with the variables tested occurred in radii of 15 and 20 m away from the object tree. The largest trees presented higher values of Δ G . While P ( m ) was similar among the three tree classes, larger trees had a slightly higher P ( m ) due to thier low density of individuals. The results obtained in this study may help to include CIs in growth and production models at the individual tree level in tropical rainforests, especially in those managed in the Brazilian Amazon. Highlights: Distance independent indices are more efficient when compared to indices dependent and semi-independent of the distance. The BAL (Basal Area Larger) index is most appropriate for mortality and growth studies. Distance-dependent and semi-independent indices showed better performance with radii of 15 and 20 m.