Teak growth, yield- and thinnings’ simulation in volume and biomass in Colombia

IF 1.7 3区 农林科学 Q2 FORESTRY Annals of Forest Research Pub Date : 2020-05-05 DOI:10.15287/AFR.2019.1722
D. A. Torres, J. Valle, G. Restrepo
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引用次数: 3

Abstract

In the Colombian Caribbean, 44 permanent sampling plots (PSPs) on teak (Tectona grandis) plantations in 20 stands ranging in age from 3 to 20 years have been measured annually for 17 years. We have developed a compatible growth and yield model using the state-space approach and Kopf’s growth equation fitted by nonlinear mixed-effects-models (NLMEMs). For each site index class, the transition function of the basal area depends on the initial basal area (G1) and the initial age (t1), projected to a future basal area (G2) and its age (t2). In the transition function, the previous thinnings were added to not underestimate the total yield. We use NLMEMs to prevent autocorrelation by modeling annual measurements in the PSPs. The transition function is inserted in allometric stand models of three key variables: volume over bark, the volume under bark, and above-ground biomass. Tree allometric models for volume over bark, the volume under bark, and biomass were parameterized, self-validated, independently validated, and recalibrated. Stand allometric models for the same three key variables, as a function of the stand basal area, were parameterized by using NLMEMs to evaluate proportional variance to the mean and variance as a potential function of the mean. In both tree and stand allometric models, the assumptions of the regression have been fulfilled. The resulting growth and yield model allows for the estimation of current growth and predicts future yields in volumes and above-ground biomass arising from thinnings treatments. The proposed model is a useful tool for teak efficient plantations management. The proposed growth models for teak in this paper may have a potential utility in newly teak planted areas, where such tools are scarce or non-existent.
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哥伦比亚柚木生长、产量和间伐对体积和生物量的模拟
在哥伦比亚加勒比地区,在17年的时间里,每年对20个年龄从3岁到20岁不等的柚木种植园的44个永久采样点进行测量。我们使用状态空间方法和非线性混合效应模型(NLMEMs)拟合的Kopf生长方程,开发了一个兼容的生长和产量模型。对于每个位点指数类别,基底区的过渡函数取决于初始基底区(G1)和初始年龄(t1),预测到未来的基底区(G2)及其年龄(t2)。在过渡函数中,添加了之前的减薄,以避免低估总产量。我们使用NLMEM通过对PSP中的年度测量进行建模来防止自相关。过渡函数被插入到三个关键变量的异速林分模型中:树皮上的体积、树皮下的体积和地上生物量。对树皮上体积、树皮下体积和生物量的树木异速测量模型进行了参数化、自我验证、独立验证和重新校准。通过使用NLMEM来评估与平均值的比例方差和作为平均值的潜在函数的方差,将相同三个关键变量的林分异速生长模型作为林分基底面积的函数进行参数化。在树木和林分异速生长模型中,回归的假设都得到了满足。由此产生的生长和产量模型允许估计当前的生长,并预测未来的产量,即减薄处理产生的体积和地上生物量。所提出的模型为柚木种植园的高效管理提供了一个有用的工具。本文提出的柚木生长模型可能在新种植柚木的地区具有潜在的实用性,因为这些地区缺乏或根本不存在此类工具。
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来源期刊
CiteScore
2.20
自引率
11.10%
发文量
11
审稿时长
12 weeks
期刊介绍: Annals of Forest Research is a semestrial open access journal, which publishes research articles, research notes and critical review papers, exclusively in English, on topics dealing with forestry and environmental sciences. The journal promotes high scientific level articles, by following international editorial conventions and by applying a peer-review selection process.
期刊最新文献
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