Height growth and total volume production models for short rotation Paulownia plantations

IF 3.7 2区 农林科学 Q1 FORESTRY
Nick M. Merriman , Anders Taeroe , Thomas Nord-Larsen , Karsten Raulund-Rasmussen
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Abstract

Paulownia is a genus of fast-growing tree species originating from China, with a long history of cultivation and use. There is interest worldwide in the establishment of Paulownia plantations to address the increasing global demand for timber and to provide carbon sequestration, contributing to climate change mitigation goals. Despite this interest, published data on the growth and yield of Paulownia is scarce, and no known growth models or tools for assessing the productivity of Paulownia exist. This study aims to develop a suite of models which can be used to assess the productivity of young Paulownia plantations. A comprehensive literature review was performed to gather all previously published data, and new data was collected to complement the existing information. Based on these records, a height growth model was developed, using an Algebraic Difference Approach (ADA), along with a model predicting total volume production from stand height, using a linear mixed-effects modelling approach. The model complex was used to predict the annual biomass production of a Paulownia plantation over a 10-year rotation, which ranged from 0.5 to 25.4 oven-dry tonnes per hectare per year (odt ha⁻¹ yr⁻¹) with an interquartile range (IQR) of 0.8–9.9 odt ha⁻¹ yr⁻¹ . The data available in this study and the absence of controlled experiments did not allow for causal inference of growth factors. Future experimental work investigating the effects of site, management, and genetic factors on the growth of Paulownia would be valuable for growth optimisation and for further developing the silviculture of Paulownia.
泡桐短轮伐人工林的高度生长和总产量模式
泡桐是一种原产于中国的速生树种,有着悠久的栽培和利用历史。全世界都有兴趣建立泡桐种植园,以满足全球对木材日益增长的需求,并提供碳封存,促进减缓气候变化的目标。尽管存在这种兴趣,但关于泡桐生长和产量的公开数据很少,也没有已知的生长模型或评估泡桐生产力的工具。本研究旨在建立一套可用于评估泡桐幼林生产力的模型。进行全面的文献综述以收集所有先前发表的数据,并收集新数据以补充现有信息。在这些记录的基础上,利用代数差分法(ADA)建立了一个高度增长模型,并利用线性混合效应建模方法建立了一个从林分高度预测总产量的模型。该模型用于预测一个泡桐种植园10年的年生物量产量,其范围为每年每公顷0.5至25.4烘箱干吨(odt ha⁻¹yr⁻¹),四分位数范围(IQR)为0.8至9.9 odt ha⁻¹ yr⁻¹ 。本研究中可用的数据和缺乏对照实验不允许生长因子的因果推断。研究泡桐生长环境、管理和遗传因素对泡桐生长的影响,对泡桐生长优化和进一步发展泡桐造林具有重要意义。
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来源期刊
Forest Ecology and Management
Forest Ecology and Management 农林科学-林学
CiteScore
7.50
自引率
10.80%
发文量
665
审稿时长
39 days
期刊介绍: Forest Ecology and Management publishes scientific articles linking forest ecology with forest management, focusing on the application of biological, ecological and social knowledge to the management and conservation of plantations and natural forests. The scope of the journal includes all forest ecosystems of the world. A peer-review process ensures the quality and international interest of the manuscripts accepted for publication. The journal encourages communication between scientists in disparate fields who share a common interest in ecology and forest management, bridging the gap between research workers and forest managers. We encourage submission of papers that will have the strongest interest and value to the Journal''s international readership. Some key features of papers with strong interest include: 1. Clear connections between the ecology and management of forests; 2. Novel ideas or approaches to important challenges in forest ecology and management; 3. Studies that address a population of interest beyond the scale of single research sites, Three key points in the design of forest experiments, Forest Ecology and Management 255 (2008) 2022-2023); 4. Review Articles on timely, important topics. Authors are welcome to contact one of the editors to discuss the suitability of a potential review manuscript. The Journal encourages proposals for special issues examining important areas of forest ecology and management. Potential guest editors should contact any of the Editors to begin discussions about topics, potential papers, and other details.
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