Evaluation of structural and species distribution is essential for conservation work. Besides, reliable baseline information is crucial for a sustainable forest management. We assessed forest structure and formulated yield-prediction models for tree species in Old Oyo National Park (OONP). Systematic sampling technique was adopted for the study. Thirty transects of 1000 m-long were laid at 1 km intervals. Four 0.25ha-plots were then alternately laid at 250 m intervals along each transect, and 120 plots were used for the study. Structural parameters including diameters at the base, breast height, middle, merchantable top and tree heights were measured for trees with Dbh ≥10 cm to compute stand density and volume. Data were analysed using descriptive statistics and regression. Species diversity and richness indices were computed using Shannon-Wiener and Margalef’s Indices. Models were assessed using R2 and standard error of estimate (SEE), overall significance of each model was evaluated using F-test. Model validation was done using t-test and bias. Sixty-four tree species in 23 families were encountered with richness and diversity indices of 1.189 and 3.544, respectively. Only one endangered (Pterocarpus erinaceus) and three vulnerable (Afzelia africana, Vitellaria paradoxa and Maranthes agnesis) species were encountered. Burkea africana was the most locally-abundant in the area with a relative density and basal area of 9.3 and 3.058 m2/ha, respectively. Fabaceae was the most-represented family. The best yield-prediction model was of the form: V=27.53 + -21.41logDB + 0.023THT² having R2, SEE and bias values of 90.5%, 0.599 and 0.005, respectively. It is recommended for future predictions.
| Published in | American Journal of Plant Biology (Volume 5, Issue 2) |
| DOI | 10.11648/j.ajpb.20200502.11 |
| Page(s) | 11-20 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Structural Diversity, Species Composition, Richness, Yield PredictionReferences
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APA Style
Adesoji Akinwumi Adeyemi, Hussainat Taiwo Taofeek. (2020). Tree Structural Diversity and Yield Prediction Models for Tree Species in Old Oyo National Park, Nigeria. American Journal of Plant Biology, 5(2), 11-20. https://doi.org/10.11648/j.ajpb.20200502.11
ACS Style
Adesoji Akinwumi Adeyemi; Hussainat Taiwo Taofeek. Tree Structural Diversity and Yield Prediction Models for Tree Species in Old Oyo National Park, Nigeria. Am. J. Plant Biol. 2020, 5(2), 11-20. doi: 10.11648/j.ajpb.20200502.11
AMA Style
Adesoji Akinwumi Adeyemi, Hussainat Taiwo Taofeek. Tree Structural Diversity and Yield Prediction Models for Tree Species in Old Oyo National Park, Nigeria. Am J Plant Biol. 2020;5(2):11-20. doi: 10.11648/j.ajpb.20200502.11
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Download@article{10.11648/j.ajpb.20200502.11,
author = {Adesoji Akinwumi Adeyemi and Hussainat Taiwo Taofeek},
title = {Tree Structural Diversity and Yield Prediction Models for Tree Species in Old Oyo National Park, Nigeria},
journal = {American Journal of Plant Biology},
volume = {5},
number = {2},
pages = {11-20},
doi = {10.11648/j.ajpb.20200502.11},
url = {https://doi.org/10.11648/j.ajpb.20200502.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpb.20200502.11},
abstract = {Evaluation of structural and species distribution is essential for conservation work. Besides, reliable baseline information is crucial for a sustainable forest management. We assessed forest structure and formulated yield-prediction models for tree species in Old Oyo National Park (OONP). Systematic sampling technique was adopted for the study. Thirty transects of 1000 m-long were laid at 1 km intervals. Four 0.25ha-plots were then alternately laid at 250 m intervals along each transect, and 120 plots were used for the study. Structural parameters including diameters at the base, breast height, middle, merchantable top and tree heights were measured for trees with Dbh ≥10 cm to compute stand density and volume. Data were analysed using descriptive statistics and regression. Species diversity and richness indices were computed using Shannon-Wiener and Margalef’s Indices. Models were assessed using R2 and standard error of estimate (SEE), overall significance of each model was evaluated using F-test. Model validation was done using t-test and bias. Sixty-four tree species in 23 families were encountered with richness and diversity indices of 1.189 and 3.544, respectively. Only one endangered (Pterocarpus erinaceus) and three vulnerable (Afzelia africana, Vitellaria paradoxa and Maranthes agnesis) species were encountered. Burkea africana was the most locally-abundant in the area with a relative density and basal area of 9.3 and 3.058 m2/ha, respectively. Fabaceae was the most-represented family. The best yield-prediction model was of the form: V=27.53 + -21.41logDB + 0.023THT² having R2, SEE and bias values of 90.5%, 0.599 and 0.005, respectively. It is recommended for future predictions.},
year = {2020}
}
TY - JOUR T1 - Tree Structural Diversity and Yield Prediction Models for Tree Species in Old Oyo National Park, Nigeria AU - Adesoji Akinwumi Adeyemi AU - Hussainat Taiwo Taofeek Y1 - 2020/06/09 PY - 2020 N1 - https://doi.org/10.11648/j.ajpb.20200502.11 DO - 10.11648/j.ajpb.20200502.11 T2 - American Journal of Plant Biology JF - American Journal of Plant Biology JO - American Journal of Plant Biology SP - 11 EP - 20 PB - Science Publishing Group SN - 2578-8337 UR - https://doi.org/10.11648/j.ajpb.20200502.11 AB - Evaluation of structural and species distribution is essential for conservation work. Besides, reliable baseline information is crucial for a sustainable forest management. We assessed forest structure and formulated yield-prediction models for tree species in Old Oyo National Park (OONP). Systematic sampling technique was adopted for the study. Thirty transects of 1000 m-long were laid at 1 km intervals. Four 0.25ha-plots were then alternately laid at 250 m intervals along each transect, and 120 plots were used for the study. Structural parameters including diameters at the base, breast height, middle, merchantable top and tree heights were measured for trees with Dbh ≥10 cm to compute stand density and volume. Data were analysed using descriptive statistics and regression. Species diversity and richness indices were computed using Shannon-Wiener and Margalef’s Indices. Models were assessed using R2 and standard error of estimate (SEE), overall significance of each model was evaluated using F-test. Model validation was done using t-test and bias. Sixty-four tree species in 23 families were encountered with richness and diversity indices of 1.189 and 3.544, respectively. Only one endangered (Pterocarpus erinaceus) and three vulnerable (Afzelia africana, Vitellaria paradoxa and Maranthes agnesis) species were encountered. Burkea africana was the most locally-abundant in the area with a relative density and basal area of 9.3 and 3.058 m2/ha, respectively. Fabaceae was the most-represented family. The best yield-prediction model was of the form: V=27.53 + -21.41logDB + 0.023THT² having R2, SEE and bias values of 90.5%, 0.599 and 0.005, respectively. It is recommended for future predictions. VL - 5 IS - 2 ER -
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