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Production of wood biomass by high density Acacia nilotica plantation in semi-arid region of central India

机译:印度中部半干旱地区高密度相思木人工林生产木材生物量

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Acacia nilotica (Babool) is one of the most common and important tree species found in dry areas of the Indian sub-continent and Africa. It is one of the most prominent tree species for agro-forestry systems in the dry land areas of India. A total of 75 trees (30 trees each at age of 4.5 and 5.5 years and 15 trees at 6.5 years) were harvested. Out of six non-linear functions fitted, parabolic models viz., W-b = -1.931 + 0.816 D + 0.164 D-2 (R-2=0.899), Wt = -0.519 - 0.065 D + 0.557 D-2 (R-2=0.929) were found best in case of branch wood (W-b) and total wood biomass (W-t) whereas, Chapman-Richard model, W-s = 109.474 (1 - e(-0.09 D)) (2.685) (R-2=0.935) was found best in case of stem wood biomass (Ws). These models were validated and compared on the basis of mean bias, mean absolute error and Root mean square error (RMSE). Prediction errors of only 0.897, 0.706 and 0.742 kg in branch wood, stem wood and total wood biomass, respectively was found. Total wood biomass production varied from 12.13 t ha(-1) at 4 years age to 35.64 t ha-1 at 7 years age. Total wood volume was estimated to be 0.011 m(3)/ tree at the age of 4 years, which increased upto 0.033 m(3)/ tree at the age of 7 years.
机译:刺槐(Babool)是在印度次大陆和非洲干旱地区发现的最常见和最重要的树种之一。它是印度干旱地区农林业系统最著名的树种之一。总共收获了75棵树(4.5和5.5岁时分别为30棵树和6.5岁时分别为15棵树)。在六个拟合的非线性函数中,抛物线模型即Wb = -1.931 + 0.816 D + 0.164 D-2(R-2 = 0.899),Wt = -0.519-0.065 D + 0.557 D-2(R-2 = 0.929)在分支木材(Wb)和总木材生物量(Wt)的情况下最佳,而Chapman-Richard模型的Ws = 109.474(1- e(-0.09 D))(2.685)(R-2 = 0.935)最好在茎木生物量(Ws)的情况下被发现。对这些模型进行了验证,并根据均值偏差,均值绝对误差和均方根误差(RMSE)进行了比较。发现分支木材,茎木和木材总生物量的预测误差分别仅为0.897、0.706和0.742 kg。木材生物总产量从4岁时的12.13 t ha(-1)到7岁时的35.64 t ha-1不等。在4岁时,木材总体积估计为0.011 m(3)/棵树,在7岁时,木材总体积增加至0.033 m(3)/棵树。

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