Universidade Federal do Paraná, Departamento de Ciências Florestais, Av. Pref. Lothário Meissner, 900, Campus III, Jardim Botânico, 80210-170, Curitiba, PR, Brazil.
An Acad Bras Cienc. 2023 Feb 3;95(1):e20200038. doi: 10.1590/0001-3765202320200038. eCollection 2023.
The aim was to determine the productive capacity of a forest site by applying different methods of fitting, combined with geostatistical techniques, to stands of Eucalyptus sp. in a tropical region of Brazil. Data were collected from 845 plots of a continuous forest inventory over four years. The classification of local production capacity was performed using growth curves obtained by the guide curve (GC) method, algebraic difference approach (ADA) and generalized algebraic difference approach (GADA) methods and ordinary kriging through the spherical, exponential, and Gaussian models to determine the spatial dependence of the variables site, geographical boundaries of site index classes, and their respective areas for each hectare in an annual production unit (APU). The modified Chapman-Richards model, fitted by the generalized difference approach method (GADA), provided the best statistical results, an improvement of 12.23% and 39.80% on the ADA and GC methods, respectively. The exponential model selected to express the spatial distribution of dominant height showed a high degree of spatial dependence.
本研究旨在通过应用不同的拟合方法，并结合地统计学技术，来确定巴西热带地区桉树人工林的生产力。研究数据来自于一个连续森林清查的 845 个样地，收集时间为四年。采用生长曲线法（GC 法）、代数差分法（ADA）、广义代数差分法（GADA）和普通克里金法（球状模型、指数模型和高斯模型），对局部生产力进行分类，以确定变量站点、站点指数类别的地理边界及其在每年一个生产单位（APU）中的每个公顷的相应面积的空间相关性。广义差分法（GADA）拟合的修正 Chapman-Richards 模型提供了最佳的统计结果，分别比 ADA 和 GC 方法提高了 12.23%和 39.80%。选择指数模型来表达优势木高的空间分布，表明具有高度的空间相关性。
