Generación de modelos alométricos para la cuantificación de biomasa y contenido de carbono a nivel de especies, aplicando el método destructivo de baja intensidad para el estrato bosque siempre verde de tierras bajas de la Amazonia

The research was conducted in the evergreen lowland forest of the Ecuadorian Amazon, four clusters settled in the provinces of Morona Santiago, Pastaza, Orellana and Sucumbíos. The purpose of the research was to generate information on the amount of biomass and generate allometric models to estimate total aboveground biomass with species that stratum. The species inventory was conducted in a total of 12 plots covering an area of 4,32 ha, measuring trees larger than 10 cm dbh , a total of 269 tree species were identified. To generate reliable information in addition to the inventory applied a destructive method of low intensity, a total of 52 trees were harvested, four species: Guarea kunthiana, Grias peruviana, Jacaranda copaia, Inga sp., these species are more IVI in the four cluster study. The form factor calculated for 269 species, reaching an average value of 0,47, this value was obtained with a sample of 1 314 trees. The values biomass expansion factor (BEF) were estimated for the four species harvested Grias peruviana (2,37) ; Jacaranda copaia (1,28), Inga sp. (1,83) Guarea kunthiana (2,49 ). In species FEB average value is 1,94. The distribution of biomass at the species ranges from 4,08 to 4 524,11 kg/ha with an average of 462,428 kg/ha of biomass per tree, these values demonstrate the dominance of few species of large diameter , represented by: Eschweilera coriacea (4 524,11 kg/ha) , followed by Inga sp. (4 229.6 kg/ha), Cecropia sciadophylla (3 776.36 kg/ha), Jacaranda copaia (3 522.85 kg/ha), Terminalia oblonga (3 025.27 kg/ha). Moreover, 70 % of the species have biomass middle and lower values, notably species: Grias peruviana (881.83 kg/ha), Otoba parvifolia (2 689.06 kg/ha), Dacryodes peruviana (1 669,64 kg/ha), Nectandra sp. ( 1 307,25 kg/ha), Pourouma minor (909.31 kg/ha), despite having small diameters, have a key role in carbon storage due to the high number of individuals containing, as they are still growing and some will be dominant individuals . In Allometric models for estimating aboveground biomass generated at the species level, simple linear regression was used with one, two three regressor variables y = a + b * x + c * z ; variables include diameter at breast height (dbh), total height (ht) , commercial height (hc) and logarithms of these variables. Select models exceed the value of R2 0,76 of the species Theobroma cacao, the highest R2 value was established for the species Iryanthera juruensis R2 0,99. The best-fitting model was the one variable (dap2) B = a + b * dap2, and the combination of two independent variables (dap2 and commercial height) B= a + b * dap2 + c * hc. The dap2 and commercial height (hc) were the variables most correlated with coefficients of variation ranging from R2 = 0,76 - 0,99.

• मुख्य लेखक: Abad Cordero, Miguel Ángel (author)
• अन्य लेखक: Riofrío Ordóñez, Jairo Oswaldo (author)
• स्वरूप: bachelorThesis
• भाषा: spa
• प्रकाशित: 2014
• विषय: ALOMETRÍA; BIOMASA; CARBONO; EFECTO INVERNADERO
• ऑनलाइन पहुंच: http://dspace.unl.edu.ec/jspui/handle/123456789/11888