Leaf biomass and leaf area equations for three planted trees in Iran

Jamshid Eslamdoust, H. Sohrabi, S. Hosseini, B. Naseri
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引用次数: 2

Abstract

Leaf area (LA) and leaf biomass (LB) are important variables for most physiological, horticultural and agronomic studies involving plant growth, development rate, radiation use efficiency, and water or nutrient use. Measuring these variables need destructive and aggressive sampling. Fortunately, evolving allometric equations can help for low cost and non-destructive estimation of such variables. The aims of this study are Estimate, compare and develop allometric models of LA and LB per tree and per stand for Alnus subcordata (AS), Populus deltoides (PD) and Taxodium distichum (TD) plantations. We selected 12 sample trees in each stand. Leaf Fresh weight of randomly selected branches was weighted in the field. Branch-level LA was modeled as a function of branch diameter (R 2 > 0.8) and total fresh weight of LB has been calculated for each sampled tree. For each species, 100 leaves from all canopy directions of trees were randomly selected and transported to the laboratory. At the lab, leaf area has been measured using leaf area meter. Allometric equations were derived using regression analysis. For all species, derived equations showed high accuracy (R 2 ranged from 0.837 to 0.947). However, with respect to mean square error, power regression equations (individual leaf area = a(L×W)b and LA or LB = a DBH b ) are best models to estimate Individual Leaf Area, LA, and LB of AS, PD, and PD. The highest LAI was in the order of 16.9 > 5.5 > 4.5 for AS, PD, and TD, respectively.
伊朗三种人工树的叶生物量和叶面积方程
叶面积(LA)和叶生物量(LB)是大多数涉及植物生长、发育速度、辐射利用效率和水分或养分利用的生理、园艺和农艺研究的重要变量。测量这些变量需要破坏性和侵略性的采样。幸运的是,进化的异速方程可以帮助对这些变量进行低成本和无损的估计。本研究的目的是估算、比较和建立亚cordata Alnus (AS)、deltoides (PD)和Taxodium distichum (TD)人工林每树和每林分的LA和LB异速生长模型。我们在每个林分中选取12棵样本树。田间对随机选取的枝条进行鲜重加权。将枝级LB建模为枝径的函数(r2 > 0.8),并计算每棵采样树LB的总鲜重。对于每个物种,从树木的所有冠层方向随机选择100片叶子并运送到实验室。在实验室,用叶面积计测量了叶面积。利用回归分析导出异速生长方程。对所有物种,推导出的方程具有较高的精度(r2范围为0.837 ~ 0.947)。然而,就均方误差而言,幂回归方程(单个叶面积= a(L×W)b和LA或LB = a DBH b)是估计AS、PD和PD的单个叶面积、LA和LB的最佳模型。AS、PD和TD的最大LAI分别为16.9 bb0 5.5 bb1 4.5。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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