Modeling Tree Diameter Distributions in Arboretum of Forestry and Wildlife University of Uyo: An Evaluation of 8 Statistical Models

Modeling Tree Diameter Distributions in Arboretum of Forestry and Wildlife University of Uyo: An Evaluation of 8 Statistical Models

Ekpa, N. E.

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Ekpa

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N. E.

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Daniel

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Ukpong

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E.E

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Etigale

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Asuquo. O.E.

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Modeling Tree Diameter Distributions in Arboretum of Forestry and Wildlife University of Uyo: An Evaluation of 8 Statistical Models

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Abstract

The diameter distribution of the growing stock is an essential starting point in many forest management planning problems. Eight distribution functions was used to characterize the size classes of Tectona grandis stands in the arboretum of forestry and Wildlife, University of Uyo, Nigeria. The arboretum comprises of different compartment of trees. The data obtained were diameter at breast height (dbh) measurement of all trees in teak compartment. Using Easyfit modeling software, eight distribution functions was fitted to the data and estimates of the parameters were obtained. The results shows the diameter at breast height data with mean 16.83, standard error 1.08, skewness 1.96 while that of excess kurtosis is 4.84 .The performance of the function was evaluated using Kolmogorov-Simirnov test. Gneralized pareto distribution showed the best performance in terms of quality of fit to the diameter data with the lowest value of 0.0969, shape value of 0.93819.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Ekpa, N. E.. 2020. \u201cModeling Tree Diameter Distributions in Arboretum of Forestry and Wildlife University of Uyo: An Evaluation of 8 Statistical Models\u201d. Global Journal of Science Frontier Research - H: Environment & Environmental geology GJSFR-H Volume 20 (GJSFR Volume 20 Issue H2).

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GJSFR Volume 20 Issue H2

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-H Classification FOR Code: 070599

Submission ReceivedMarch 22, 2020
Peer Review Double Blind
Handling Editor
Accepted April 20, 2020
Published May 5, 2020

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v1.2

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June 23, 2020

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