Species abundance distribution modeling to evaluate the forest management in the Amazon Forest

• Grant number: 14/09219-8
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: November 01, 2014
• End date: August 31, 2017
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: João Luís Ferreira Batista
• Grantee: Rafaela Pereira Naves
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Associated scholarship(s): 15/26892-0 - The usage of species abundance distribution to evaluate changes in the diversity of managed tropical forests, BE.EP.DR

Abstract

This paper introduces a new approach to evaluate the impacts of forest management on the community diversity in the Amazon forest, by using the species abundance distribution. A majority of studies that evaluate the reduced-impact logging (RIL) and conventional logging (CL) on the tree communities diversity have performed diversity indices and floristic composition. Those comparisons have constraints when the objective is to compare the two types of exploration or verify the community dynamics over time. The numerical dominance is one of the few general laws in ecology, which pattern deals with rare exceptions, so community parameters analyses become considerably important. The study site is a Dense Ombrophilous Forest in the city of Paragominas, Pará State. Three treatments in 1993 were used to comparisons, which include RIL, CL and control treatment (no exploration). During 16 years, permanent plots were remeasured 9 times to survey the tree community growth. Statistical models will be fitted to predict species abundance distribution for each treatment in each year. After modeling fitness and variables selection, the parameters of each community (community will be considered herein as the measurement in a given year for a specific treatment) will be modeled as a function of the treatment and year, which explanatory variables would be associated to environmental changes caused by the exploration type. Under these circumstances, we can describe the changes in diversity by the use of functions that indicate the responses of parameters of species abundance distribution to a set of explanatory variables. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

NAVES, RAFAELA PEREIRA; GROTAN, VIDAR; PRADO, PAULO INACIO; VIDAL, EDSON; FERREIRA BATISTA, JOAO LUIS. Tropical forest management altered abundances of individual tree species but not diversity. FOREST ECOLOGY AND MANAGEMENT, v. 475, NOV 1 2020. (13/16262-4, 13/50718-5, 15/26892-0, 14/09219-8)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

NAVES, Rafaela Pereira. Temporal dynamics of tree diversity in the context of forest management, using species abundance distribution models. 2017. Doctoral Thesis - Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALA/BC) Piracicaba.