Banca de QUALIFICAÇÃO: BRUNO BARBOSA BOAS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : BRUNO BARBOSA BOAS
DATE: 21/11/2024
TIME: 14:00
LOCAL: Remoto
TITLE:

IDEAL PLOT SIZE FOR EVALUATING LARGE TREES IN WESTERN PARÁ: FOCUS ON BIOMASS AND SIZE DISTRIBUTION

KEY WORDS:

forest measurement; sampling method; Maximum Curvature Method

PAGES: 20
BIG AREA: Ciências Agrárias
AREA: Recursos Florestais e Engenharia Florestal
SUMMARY:

Large trees have a great influence on biomass and carbon stocks, but there are still many doubts about the most appropriate sampling methods and processes for this size class. The aim of this study was therefore to identify the ideal plot size for sampling the biomass of large trees in the Amazon. The study was carried out in ten Forest Management Areas (FMAs) in five municipalities in the west of Pará. To analyze the ideal plot size, vector data from the MFAs and information on the location, nomenclature and size of large trees (DBH ≥ 50 cm) from the censuses were used. The biomass was calculated using the BIOMASS package in the R programming language, in which the sampling simulations were also carried out. The MFAs were divided into 16 ha plots, and each of these plots was subdivided into a further 14 plot sizes. For each plot size, 100 samples with 200 sampling units each were simulated, and the Coefficient of Variation (CV) and relative Sampling Error (SE) of the biomass estimates obtained by each sample were calculated. The CV values and the respective plot sizes were used to adjust a power equation and calculate the ideal plot size using the Maximum Curvature Method and the Equilibrium Point.  The best plot size was obtained using the Maximum Curvature Method, with an area of 4.80 ha, and the square plot size tested that comes closest to this value is 5.0625 ha. To obtain biomass estimates with an ER of 10%, 116 random plots of this size are needed, sampling an area equivalent to 687 ha. Smaller plot sizes achieve the same level of error by using more plots and sampling a smaller total area. However, we do not recommend the use of smaller plots given the difficulty of installing such a large number of plots throughout the Amazon region, and the fact that small plots have a history of biasing the calculation of biomass estimates, both those obtained from field data and remote sensing, and are not appropriate for biomass and carbon dynamics studies.

COMMITTEE MEMBERS:
Externo à Instituição - ADRIANO JOSÉ NOGUEIRA LIMA
Externo à Instituição - FERNANDO ELIAS DA SILVA - UFPA
Externo à Instituição - NIRO HIGUCHI