Stem Profile Patterns of Pinus nigra and Pinus sylvestris Growing in Mixed Stands

IF 1.5 4区 农林科学 Q2 FORESTRY Forest Science Pub Date : 2023-07-18 DOI:10.1093/forsci/fxad035
R. Özçelik, K. Poudel, F. crecente-campo, Bora Kaya, Onur Alkan
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Abstract

Taper equations provide one of the most successful approaches of calculating tree volume to specified top diameters from standing tree measurements. This study assessed the stem profile patterns of Black pine (Pinus nigra Arnold.) and Scots pine (Pinus sylvestris L.) trees growing in mixed stands in northwestern Türkiye using a segmented polynomial taper equation. Models were fitted with the continuous second-order autoregressive structure to correct for the autocorrelation. The models fit the data well, describing more than 99%, 98%, and 97% of variation in diameter, merchantable volume, and total stem volume, respectively. However, the prediction errors were slightly larger for black pine than for Scots pine. Results also revealed that the model coefficients for these species were significantly different. Models developed in this study should provide more accurate upper stem diameter and volume estimates when the objective is to estimate such attributes for black pine and Scots pine growing in the mixed stands.
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混交林中黑松和西洋松茎廓分布特征
锥度方程提供了一种最成功的方法,可以从立木测量中计算出给定树冠直径的树木体积。本文采用分段多项式锥度方程对青海西北混交林中黑松(Pinus nigra Arnold.)和苏格兰松(Pinus sylvestris L.)的茎廓特征进行了评价。模型采用连续二阶自回归结构进行拟合以校正自相关。这些模型与数据拟合得很好,分别描述了超过99%、98%和97%的直径、可销售体积和总茎体积变化。然而,黑松的预测误差略大于苏格兰松。结果还表明,这些物种的模型系数存在显著差异。本研究建立的模型应能提供更准确的上茎直径和体积估计值,以估计生长在混交林中的黑松和苏格兰松的这些属性。
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来源期刊
Forest Science
Forest Science 农林科学-林学
CiteScore
2.80
自引率
7.10%
发文量
45
审稿时长
3 months
期刊介绍: Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management. Forest Science is published bimonthly in February, April, June, August, October, and December.
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