东北半干旱区不同密度38年生小叶杨人工林的生长及木材特性

为研究人工林密度对生长特性(胸径、树高和材积)和木材常规性质的影响，在东北半干旱地区以以38年生不同密度小黑杨试验林为材料（2 m × 2 m、3 m × 3 m、4 m × 4 m、5 m × 5 m共4个密度），对各密度下小黑杨生长性状和木材性状进行测定分析。结果表明，不同栽植密度下小黑杨的生长和木材性状均存在显著差异；相关性分析结果表明，除木材密度与生长性状呈显著负相关外，其它木材力学性状均与生长性状呈显著正相关；材积预测中，直接影响生长性性状和木材性状的回归权重的变化范围为-0.178 - 0.724；在生长性状方面，胸径（0.724）和树高（0.612）对材积的影响较大。林地产量与效益分析表明，2 m × 2 m密度的林分蓄积量(610 立方米每公顷)综合价值和收益最高，而5 m × 5 m密度的单株材积生长量最高，这表明2 m × 2 m的栽植方式可获得较高的每公顷材积，而5 m × 5 m间距可获得较高的单株材积。

To investigate the effects of plantation density on growth characteristics (diameter at breast height, tree height, and stem volume) and conventional wood properties, a study was conducted using 38-year-old experimental plantations of Xiaohei poplar with four distinct planting densities in the semi-arid region of Northeast China: 2 m × 2 m, 3 m × 3 m, 4 m × 4 m, and 5 m × 5 m. Growth traits and wood properties of Xiaohei poplar under each density were measured and analyzed. The results revealed significant differences in both growth and wood traits of Xiaohei poplar across varying planting densities. Correlation analysis further demonstrated that except for wood density, which exhibited a significant negative correlation with growth traits, all other wood mechanical traits showed significant positive correlations with growth traits. For stem volume prediction, the regression weights directly influencing growth and wood traits ranged from -0.178 to 0.724. Among growth traits, diameter at breast height (0.724) and tree height (0.612) exerted the most substantial impacts on stem volume. Stand yield and benefit analysis indicated that the 2 m × 2 m density yielded the highest stand volume (610 m³ per hectare), comprehensive value and economic benefit, while the 5 m × 5 m density achieved the maximum individual tree stem volume growth. This suggests that the 2 m × 2 m planting regime can achieve a high volume per hectare, whereas the 5 m × 5 m spacing can yield a greater individual tree stem volume.

搜集汇总

背景与挑战

背景概述

该数据集研究了东北半干旱区38年生小叶杨人工林在四种不同种植密度下的生长和木材特性，揭示了密度对生长性状和木材力学性质的显著影响，并提供了材积预测和经济效益分析。