Regression Models for Estimating Volume of Standing Acacia auriculiformis Trees in South Gujarat, India
R. P. Gunaga *
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
L. K. Behera
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
S. K. Sinha
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
M. B. Tandel
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
H. T. Hegde
College of Horticulture and Forestry, RLBCAU, Jhansi, U.P., India.
N. S. Thakur
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
J. B. Bhusara
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
R. L. Sondarva
College of Forestry, Navsari Agricultural University, Navsari, Pin-396 450, Gujarat, India.
*Author to whom correspondence should be addressed.
Abstract
Bangali Babool, Acacia auriculiformis (Family-Leguminosae & Sub-family-Mimosoideae) is an evergreen fast growing exotic tree species and it grows in different parts of India. This species is mainly used for making furniture, fuel wood and as minor timber. The present study aims at determination of volumetric equation for A. auriculiformis in South Gujarat. The study was carried out in different land-use systems like plantation, road side and canal side plantation, etc. in Navsari and Valsad districts of Gujarat during 2022-24. In this study, a total of 120 A. auriculiformis trees belonging to different diameter classes viz., D1: 10-15 cm, D2: 15-20 cm, D3: 20-25 cm, D4: 25-30 cm, D5: 30-35 cm, D6: 35-40 cm, D7: 40-45 cm, D8: 45-50 cm, D9: 50-55 cm, D10: 55-60 cm, D11: 60-65 cm and D12: 65-70 cm were considered. A total of four different regression models such as Linear [V1 = a + b D], Power (V2 = a Db), Logarithmic [V3 = a + b ln(D)] and Quadratic polynomial [V4 = a + b D + c D2] models were tested using DBH as an independent variable. Among them, based on higher R2 and lower RMSE values, the quadratic polynomial model [V4 = a + b D + c D2], followed by linear model [V1 = a + b D] were found to be the best fitted regression equations. Further, based on cross verification of actual values with predicted values of volume 11 trees tested with four equations, Quadratic polynomial model recorded higher RMSE value than others; thus, it is suggested to use volumetric equation: V=-0.468+0.046*D+0.000087*D2 for estimating volume of standing trees of A. auriculiformis with DBH which falls between 10 and 70 cm.
Keywords: Allometric equation, Bangali Babool, growth, regression model