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巴西热带干燥森林区域的直径分布:林分和物种预测

Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species.

作者信息

Lima Robson B DE, Bufalino Lina, Alves Francisco T, Silva José A A DA, Ferreira Rinaldo L C

机构信息

Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Rua Presidente Vargas, 450, Centro, 68901-262 Macapá, AP, Brazil.

Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Rua Dom Manuel de Medeiros, s/n, Dois Irmãos, 52171-900 Recife, PE, Brazil.

出版信息

An Acad Bras Cienc. 2017 Apr-Jun;89(2):1189-1203. doi: 10.1590/0001-3765201720160331.

DOI:10.1590/0001-3765201720160331
PMID:28640356
Abstract

Currently, there is a lack of studies on the correct utilization of continuous distributions for dry tropical forests. Therefore, this work aims to investigate the diameter structure of a brazilian tropical dry forest and to select suitable continuous distributions by means of statistic tools for the stand and the main species. Two subsets were randomly selected from 40 plots. Diameter at base height was obtained. The following functions were tested: log-normal; gamma; Weibull 2P and Burr. The best fits were selected by Akaike's information validation criterion. Overall, the diameter distribution of the dry tropical forest was better described by negative exponential curves and positive skewness. The forest studied showed diameter distributions with decreasing probability for larger trees. This behavior was observed for both the main species and the stand. The generalization of the function fitted for the main species show that the development of individual models is needed. The Burr function showed good flexibility to describe the diameter structure of the stand and the behavior of Mimosa ophthalmocentra and Bauhinia cheilantha species. For Poincianella bracteosa, Aspidosperma pyrifolium and Myracrodum urundeuva better fitting was obtained with the log-normal function.

摘要

目前,关于干旱热带森林连续分布的正确利用方面的研究尚缺。因此,本研究旨在调查一片巴西热带干旱森林的直径结构,并通过统计工具为林分和主要树种选择合适的连续分布。从40个样地中随机选取了两个子集。获取了基部高度处的直径。测试了以下函数:对数正态分布;伽马分布;威布尔双参数分布和伯尔分布。通过赤池信息验证准则选择最佳拟合。总体而言,干旱热带森林的直径分布用负指数曲线和正偏态能更好地描述。所研究的森林显示,大树的直径分布概率降低。主要树种和林分均观察到这种情况。对主要树种拟合函数的推广表明需要开发个体模型。伯尔函数在描述林分直径结构以及含羞草和白花羊蹄甲树种的行为方面表现出良好的灵活性。对于具苞片黄钟花、梨叶白坚木和乌伦杜瓦密榴木,对数正态函数拟合效果更好。

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