首页> 外文期刊>Forests,Trees and Livelihoods >Height-growth and site index equations for social forestry plantations of Acacia nilotica and Eucalyptus hybrid in Gujarat State of India.
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Height-growth and site index equations for social forestry plantations of Acacia nilotica and Eucalyptus hybrid in Gujarat State of India.

机译:印度古吉拉特邦金合欢和桉树混交林的社会林业人工林的高度生长和站点指数方程。

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摘要

Acacia nilotica is one of the most important and useful multipurpose tree species for rural population of India; Eucalyptus hybrid is an important tree species adopted for large-scale commercial plantations by the State Forest Departments, non-governmental organizations (NGOs) and farmers in India. Accurate growth models for these species are not yet available. The aim of this study is to calibrate some existing height growth equations for these two species and use them to derive site indices. Five algebraic difference equations were used. Data were obtained from 22 sample plots of A. nilotica and 34 of E. hybrid laid out in six districts of Gujarat; all possible growth intervals was used to fit the equations. A generalized nonlinear least square method was used to take into account the error structure. Autocorrelation was corrected expanding the error term to allow a first-order autoregressive model that was adequate for the data. Different weighting factors were used to satisfy the constant variance assumptions for the error. Bias, root mean square error and Akaike's information criterion were calculated and cross validation residuals were used to evaluate the performance of the equations. The best results were obtained with the algebraic difference equation derived from the base model of Sloboda. The Sloboda equation can be recommended for both the species for site index modelling..
机译:刺槐(Acacia nilotica)是印度农村人口最重要和最有用的多用途树种之一。桉树杂交种是印度国家森林部门,非政府组织和农民广泛用于大规模商业种植的重要树种。这些物种的准确生长模型尚不可用。这项研究的目的是为这两个物种校准一些现有的高度增长方程,并使用它们来推导站点指数。使用了五个代数差分方程。数据取自古吉拉特邦六个地区的22个A. nilotica样地和34个E. hybrid样地。所有可能的生长间隔都用于拟合方程。使用广义非线性最小二乘法来考虑误差结构。自相关已得到纠正,扩展了误差项,以允许适用于数据的一阶自回归模型。使用不同的加权因子来满足误差的恒定方差假设。计算偏差,均方根误差和Akaike信息准则,并使用交叉验证残差评估方程的性能。用Sloboda基本模型导出的代数差分方程可获得最佳结果。可以为两种物种推荐Sloboda方程,以便进行站点索引建模。

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