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Wyszukujesz frazę "Cancino, J." wg kryterium: Autor

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    Wyświetlanie 1-2 z 2
    Tytuł:
    Predicting parameters of Weibull probability density function for diametric distributions in A. melanoxylon, E. camaldulensis and E. nitens bioenergy plantation
    Autorzy:
    Sandoval, S.
    Cancino, J.
    Acuña, E.
    Rubilar, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/2078270.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Dendrologii PAN
    Tematy:
    Short-rotation crops
    stocking
    seemingly unrelated regression
    parameters recovery
    biomass
    and bioenergy
    Opis:
    Precise modeling of stand diameter distributions is required to provide accurate estimates of volume per diameter class and unit area. Therefore, it is necessary to obtain the most accurate probability density functions parameters estimates to predict stand diameter distribution in time. We evaluate two methods to estimate the parameters of the Weibull probability density function in the modeling of diameter distributions of bioenergy plantations. The methods considered a direct method of parameter prediction based on regression models (PPRM) and an indirect method of parameter recovery through the determi- nation of percentiles (PRDP). Both methods are considered systems of linear equations and are adjusted through simultaneous estimation of parameters using stand variables. The greatest precision was obtained with PPRM. The PRDP method was not effective in the prediction of diameter distributions due to the high level of truncation of the observed distributions showing an overestimation of the distribution for the largest diameter classes. Estimated parameters of the Weibull PDF are directly related to mean height, quadratic mean diameter, and crop age; and are inversely related to stocking
    Źródło:
    Dendrobiology; 2021, 86; 8-18
    1641-1307
    Pojawia się w:
    Dendrobiology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Allometric models for estimating aboveground biomass in tree sprouts of three dendroenergetic crops
    Autorzy:
    Ríos-Saucedo, J.C.
    Acuña-Carmona, E.
    Cancino-Cancino, J.
    Corral-Rivas, J.
    Rosales-Serna, R.
    Valenzuela-Núñez, L.M.
    Powiązania:
    https://bibliotekanauki.pl/articles/2078210.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Instytut Dendrologii PAN
    Tematy:
    bio-energy
    short rotation
    Eucalyptus globulus
    Eucalyptus denticulata
    Acacia dealbata
    dummy variables
    Opis:
    Recurrent problems have been observed for biomass measurement in tree sprouts, mainly due to differences in patterns of biomass distribution and the bias generated by using models for mature trees. The objective of this research was to evaluate models to estimate aboveground biomass in sprouts from two-year-old stumps of Short Rotation Woody Crops (SRWC) used for energetic purposes. The study was conducted in Central Chile (Bío-Bío region) under a complete block design and four replications. Three plant species were included: Eucalyptus globulus, E. denticulata, and Acacia dealbata, established in three population densities (5,000, 10,000 and 15,000 trees per ha). Two groups of nonlinear models were used on three independent variables: root collar diameter (squared mean of two dominant stems), height (mean of two dominant stems) and number of epicormic stems. In the allometric model, the total aboveground biomass and the aboveground biomass by component were explained as the product of the mean square of the root collar diameter, mean height of the two dominant new sprouts and total number of epicormic sprouts as the predictive variable. Values of coefficient of determination (R2 ) ranged from 0.78 to 0.95 and RMSE ranged from 168 to 913 g. The species of E. globulus showed higher RMSE for biomass estimation in the all components except the branch component. The inclusion of dummy variables to identify the differences in each parameter of the models explained the seasonality of the biomass accumulation in tree sprouts at 10, 21, and 31 months of age, improving the model goodness of fit RMSE by 27%. Accurate prediction of sprouts aboveground biomass was obtained by the models only evaluating the two dominant epicormic sprouts in the stump, avoiding the need of individual sprouts evaluation or using destructive methods for biomass measurement.
    Źródło:
    Dendrobiology; 2021, 85; 19-29
    1641-1307
    Pojawia się w:
    Dendrobiology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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