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Wyszukujesz frazę "basal area" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Individual tree basal area equation for a young Tectona Grandis (Teak) plantation in Choba, Port Harcourt, Rivers State, Nigeria
Autorzy:
Oyebade, B. A.
Anaba, J. C.
Powiązania:
https://bibliotekanauki.pl/articles/1113008.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
basal area
equation and management decision
individual tree
Opis:
An individual Tree Basal Area Equation was developed for a Young Tectona grandis plantation of the Department of Forestry and Wildlife Management, Faculty of Agriculture, University of Port Harcourt (UNIPORT) Choba, Rivers State; using diameter at breast height (dbh), diameter at the base (db), crown diameter (CD), and crown projection area (CPA) as predictor variables. The individual basal area estimates were obtained from data collected from 437 trees in the five-year-old plantation of dimensional area of 2737.5m2.The individual trees were measured for dbh, CD, and db using traditional measuring techniques, while individual Basal Area (BA) and CPA were estimated from the data sets. The data collected were further subjected to descriptive, correlation and regression analyses with different empirical models, using STATISTICA statistical package. The results of the descriptive analyses produced a mean values of DBH of 7.89±0.0097 cm, BA with the mean value of 0.0052±0.0001 m2, DB with 32.64±0.397 cm, CD of 3.1004±0.041 m and CPA with a mean value of 8.1268±0.215 m2. The results of regression analyses and modelling with empirical non-linear basal area equations fitted with Quadratic models, Exponential models, Linear Fit models and Polynomial models on STATISTICA produced best fits estimates in accordance with residual analyses and fit indices such as Mean Prediction Residual (MPR), Standard Error of Estimate (SEE), Residual Coefficient Variation (RCV) and Prediction Sum of Squares (PRESS). The Quadratic equation (BA = bo + biCPA + DB2; R2 - 0.8959; SEE - 0.0004) after the evaluation procedures gave the most robust fit indices for the individual basal area, and was thus adjudged the best individual basal area equation for Tectona grandis plantations in the study area. This study has shown that the selected model can be effectively used for predicting individual tree basal area of Tectona grandis both within the study area and in any other Tectona grandis plantations and, hence, for management and for making timber harvest decisions.
Źródło:
World News of Natural Sciences; 2018, 16; 130-140
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting Basal Area Using Java Program in Akinyele Local Government Area, Ibadan, Oyo State, Nigeria
Autorzy:
Ureigho, U. N.
Osho, J. S. A.
Powiązania:
https://bibliotekanauki.pl/articles/1113848.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Basal area
Java program
maximum likelihood
prediction
trees
Opis:
Individual tree growth models are important decision-making tools in forestry. This study evaluated the predictive ability for basal area, of a Java program derived from the algorithm of gamma distribution function. The input value was diameter at breast height. In generating and testing the program, a stratified random sampling technique was used to select four different age classes of teak plantation, namely: 11, 13, 22 and 59 years-old, respectively. Complete enumeration of trees (n = 433) was done for all the plots selected. Diameter at breast height (DBH) was measured with the aid of diameter girth tape, which was also used for basal area computation. Data obtained were processed into tree and stand levels. Parameters α and β for Gamma Distribution function (GDF) were estimated from growth data. The java program was then written based on the algorithm of Gamma distribution function for α, β and n parameters. Values of diameter at breast height fitted into the Java program shows that it was able to predict the basal area. Therefore, the predictive ability of the developed Java Program for basal area of individual and full stand teak trees demonstrates that it can be used for prediction of yield in forest stands.
Źródło:
World News of Natural Sciences; 2017, 13; 122-129
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tree basal area models and density for selected plantation species in swamp forest zone of Rivers State, Nigeria
Autorzy:
Oyebade, B. A.
Eguakun, F. S.
Duru, B. N.
Powiązania:
https://bibliotekanauki.pl/articles/1031907.pdf
Data publikacji:
2021
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Entandrophragma angolense
Khaya ivorensis
Nauclea diderrichii
Tectona grandis
Terminalia ivorensis
Treculia africana
basal area
management
modeling
stand density
Opis:
Individual-tree models of basal area growth and density were developed for seven plantation species in swamp forest zone of Rivers State, Nigeria. Tree growth data were collected from pure permanent sample plots of seven plantation species within the study area with measurements of diameter at breast height (cm), diameter at the base (cm), total height of tree (m), and also the number of tree per plot was taken and obtained from plantation records. The Quantitative data collected from these selected plantation species were subjected to descriptive analysis, correlation and regression analyses. Linearized models for description of relationship between BA and other growth attributes were developed. The results of the major growth variables by species in the study area showed that Treculia africana has the highest dbh mean value 30.804 ±2.031 (cm) with density 0.0022 and basal area per hectare 1.79×10–4 (m2). Similarly, the results also showed that Nauclea dedirrichii has the lowest dbh mean value 08.484 ±0.339 (cm) with basal area 3.92×10–5 (m2) and density 0.0063 per hectare. The results of correlation analyses showed general associations between basal area and the growth attributes by species with coefficients of correlation ranging from –0.023 to 0.999. The results similarly revealed distinct variations by species in density, basal area and tree number in the study area. The results of relationship between basal area and other growth variables showed significant model fit (best fit) with diameter attributes with model order: LNBA = b0 + b1lnDb + b2Dbh2 in Enthandrophragma angolense (R2 - 0.964, RSME – 0.837). The results of the study revealed that there were significant variations in the growth attributes by species in the study area; with significant associations between the basal area and major growth variables evaluated in the study, while the selected best adjudged fit model in the study area could be reasonably used for predicting basal area which is critical in cubical volume estimation and sustainable management of the study area.
Źródło:
World News of Natural Sciences; 2020, 30, 2; 271-286
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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