Development of stem volume equations for forest trees on farmlands in south-western Nigeria

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Titel: Development of stem volume equations for forest trees on farmlands in south-western Nigeria
Autoren: Adekanmbi, Dende Ibrahim
Quelle: International Journal of Biological and Chemical Sciences; Vol. 19 No. 1 (2025); 171-179
Verlagsinformationen: African Journals Online (AJOL), 2025.
Publikationsjahr: 2025
Schlagwörter: Predictive Model, Farmland Forest Trees, Volume Estimation, Sustainable Management, South-Western, Nigeria
Beschreibung: Accurate tree volume estimation is crucial for forestry management, particularly in quantifying timber value, planning harvests, and ensuring profitability. However, information on stem volume quantification for trees on agricultural farmlands in Ogun State, South-Western region of Nigeria, is limited. The aim of this study was to develop volume equation for estimating merchantable volume of farmland forest trees in the study area. A complete enumeration of 717 timber trees was conducted on randomly selected farmlands and key growth variables, such as merchantable height and diameter at breast height (Dbh) for trees with Dbh ≥10 centimeters, were measured. Linear and multiple linear regression analyses were performed on the data collected using Statgraphics Centurion software. Eight regression equations were developed and their reliability for predicting tree volume was assessed. The most suitable model chosen was Ln (Vol) = -8.41 + 1.56(LnDBH) + 0.14(Mht), with an R² of 98.54% with Mean Absolute Error (MAE) of 0.07. This volume equation effectively captures the relationship between tree volume, diameter at the breast height and mean height, with high explanatory power and accurate predictions. The model is therefore recommended for volume estimation of farmland forest trees in the study area.
Publikationsart: Article
Dateibeschreibung: application/pdf
ISSN: 1997-342X
1991-8631
DOI: 10.4314/ijbcs.v19i1.13
Zugangs-URL: https://www.ajol.info/index.php/ijbcs/article/view/297713
Dokumentencode: edsair.doi.dedup.....4c4efd4dd4dcb676d03c5ec423912aa2
Datenbank: OpenAIRE
Beschreibung
Abstract:Accurate tree volume estimation is crucial for forestry management, particularly in quantifying timber value, planning harvests, and ensuring profitability. However, information on stem volume quantification for trees on agricultural farmlands in Ogun State, South-Western region of Nigeria, is limited. The aim of this study was to develop volume equation for estimating merchantable volume of farmland forest trees in the study area. A complete enumeration of 717 timber trees was conducted on randomly selected farmlands and key growth variables, such as merchantable height and diameter at breast height (Dbh) for trees with Dbh ≥10 centimeters, were measured. Linear and multiple linear regression analyses were performed on the data collected using Statgraphics Centurion software. Eight regression equations were developed and their reliability for predicting tree volume was assessed. The most suitable model chosen was Ln (Vol) = -8.41 + 1.56(LnDBH) + 0.14(Mht), with an R² of 98.54% with Mean Absolute Error (MAE) of 0.07. This volume equation effectively captures the relationship between tree volume, diameter at the breast height and mean height, with high explanatory power and accurate predictions. The model is therefore recommended for volume estimation of farmland forest trees in the study area.
ISSN:1997342X
19918631
DOI:10.4314/ijbcs.v19i1.13