Bibliographic citations
Rivera, M., (2018). Determinación de ecuaciones para estimar biomasa en la parte leñosa aérea de Polylepis flavipila “Quinual“ en el bosque Japaní - Huarochirí, Lima [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3182
Rivera, M., Determinación de ecuaciones para estimar biomasa en la parte leñosa aérea de Polylepis flavipila “Quinual“ en el bosque Japaní - Huarochirí, Lima [Tesis]. PE: Universidad Nacional Agraria La Molina; 2018. https://hdl.handle.net/20.500.12996/3182
@misc{renati/243945,
title = "Determinación de ecuaciones para estimar biomasa en la parte leñosa aérea de Polylepis flavipila “Quinual“ en el bosque Japaní - Huarochirí, Lima",
author = "Rivera Paucar, Miriam Natalí",
publisher = "Universidad Nacional Agraria La Molina",
year = "2018"
}
The present study was carried out with 40 individuals of Polylepis flavipila evaluated in the “Japaní“ forest, located in the rural community of Santiago de Carampoma in the Carampoma district, Huarochirí province, department of Lima. The objective was to determine the best equation estimating the amount of woody aerial biomass of standing trees of Polylepis flavipila. To do this, in the field, the trees were evaluated by means of the non-destructive method, in laboratory the basic density of the stem of the species under study was determined and in the cabinet the total volume of each individual was calculated, the woody aerial biomass of each Individual and atypical values were eliminated; 100 models of equations were also selected from bibliographies of similar studies and linear regression based on the least squares was performed through the tool “Data Analysis“ of Microsoft Excel software. For the selection of equations, the results were analyzed and the following statistical criteria were taken into account: the coefficient of determination (R2), the tests of statistical significance Fisher and tStudent and the graphic analysis of residues to determine the homogeneity of variances (Homoscedasticity). There were 45 models of equations that met the statistical criteria but only one presented homoscedasticity. The weighted regression was performed with the 44 models that did not present homoscedasticity, where weighting factors were added to each selected model, obtaining 1 625 new weighted equations, which were analyzed and selected according to the statistical criteria shown above. Of these, only three weighted equations were able to homogenize the variance of their residues; Finally, to select the best equation, we calculated and compared its Furnival index of the four equations that presented homoscedasticity, where it was concluded that the best equation that estimates the woody aerial biomass of the trees of Polylepis flavipila is: B = - 0, 026291 + 0.001652 d1, 3 * h.
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