西班牙主要杂交杨无性系的用户驱动、减少的整株生长模型

IF 1.8 3区 农林科学 Q2 FORESTRY
Fernando Castedo‐Dorado, P. Rodríguez-Gonzálvez, E. González-Ferreiro, Guillermo Ramos-González, R. Álvarez-Esteban, Flor Álvarez-Taboada
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引用次数: 0

摘要

杨树无性系和杂交种生长迅速,适应性强,在世界范围内广泛用于木材生产。在西班牙,杨树×欧美无性系‘I-214’和‘MC’的生长模型目前可用。然而,这些模型所需的输入变量通常对潜在用户是不可用的。对于最广泛使用的美洲凤梨无性系(‘Beaupre’、‘Raspalje’和‘Unal’),目前在西班牙或欧洲其他地方没有可用的生长模式。本研究的目的是建立这五个无性系的整株生长模型。数据来自陆地激光扫描的134个样地和265棵树的网络。生长模型的结构由林主提供的样地数据介导:人工林年龄、每个无性系的树数和算术平均树径(dm)。增长模型的主要组成部分是dm投影函数,使dm能够在任何时候进行投影。对该函数预测精度的敏感性分析表明,该模型在5 ~ 10年的时间间隔内可以提供令人满意的预测。生长模型在基于网络的地块生长模拟器中实现,便于使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A user-driven, reduced whole-stand growth model for major hybrid poplar clones in Spain
ABSTRACT Populus spp. clones and hybrids are commonly cultivated for timber production worldwide due to their fast growth and adaptability. In Spain, growth models are currently available for the Populus × euramericana clones ‘I-214' and ‘MC'. However, the input variables required for these models are not typically available to potential users. For the most widely used P. × interamericana clones ('Beaupre', ‘Raspalje' and ‘Unal') there is currently no growth model available in Spain or elsewhere in Europe. The aim of the present study was to develop a whole-stand growth model for these five clones. Data were obtained from a network of 134 plots and 265 trees scanned by Terrestrial Laser Scanning. The structure of the growth model was mediated by plot data typically available from forest owners: plantation age, number of trees of each clone and arithmetic mean tree diameter (dm). The main component of the growth model is a dm projection function, enabling dm to be projected at any time. Sensitivity analysis of the prediction accuracy of this function revealed that the proposed model provides satisfactory predictions for time intervals of between 5 and 10 years. The growth model was implemented in a web-based plot growth simulator, facilitating its use.
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来源期刊
CiteScore
3.00
自引率
5.60%
发文量
26
审稿时长
3.3 months
期刊介绍: The Scandinavian Journal of Forest Research is a leading international research journal with a focus on forests and forestry in boreal and temperate regions worldwide.
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