Coweeta盆地刺槐异速生长方程的改进

Q4 Social Sciences
J. L. Scott, C. Miniat, J. Motes, Sarah L Ottinger, N. Wurzburger, K. Elliott
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引用次数: 1

摘要

异速生长方程被广泛用于估算森林地上生物量。然而,它们的开发很少包括最古老和最大的树,导致估计错误。刺槐(Robinia pseudoacacia)是一种早期演替固氮树,原产于美国东部。它分布广泛,通常是干扰后的优势树木,并且可以成为恢复森林的新氮的重要来源。本文建立了以胸径(DBH)为基础的刺槐异速生长方程,用于预测AGB和叶面积。我们收集了研究地点的现有数据,并采样了新树,大小从6.0-58.5 cm DBH不等。对破坏性采伐的新树进行了叶、枝、孔干生物量和碳氮浓度的测定。我们的预测方程的参数低于之前发表的;将现有的方程应用于这些最大的个体,导致洞和枝生物量的平均高估分别为33.6%和325.3%。我们还发现,叶片和木本氮浓度随着年龄的增长而下降,这表明刺槐与年龄相关的下降幅度大于其他共生物种。我们的方程显著提高了AGB预测的准确性,并将有助于特定地点的森林生物量估算和新的氮输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved allometric equations for black locust (Robinia pseudoacacia) in the Coweeta Basin
Allometric equations are widely used to estimate forest aboveground biomass (AGB). However, their development rarely includes the oldest and largest trees, leading to estimation errors. Black locust ( Robinia pseudoacacia ) is an early successional nitrogen-fixing tree, native to the Eastern United States. It is widespread, often the dominant tree following disturbance, and can be a significant source of new nitrogen to recovering forests. Here we developed allometric equations for black locust to predict AGB and leaf area based on diameter at breast height (DBH). We compiled existing data from our study site and sampled new trees, ranging in size from 6.0–58.5 cm DBH. Destructively harvested new trees were measured for foliage, branch, and bole dry biomass and carbon and nitrogen concentrations. Parameters for our predictive equations were lower than those previously published; existing equations applied to these largest individuals resulted in overestimates of bole and branch biomass on average by 33.6 and 325.3 percent, respectively. We also found that foliage and woody nitrogen concentrations declined with age, together suggesting age-related declines in black locust are greater than other co-occurring species. Our equations significantly improved accuracy of AGB predictions and will aid in site-specific forest biomass estimates and new nitrogen inputs.
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来源期刊
Studies in Regional Science
Studies in Regional Science Social Sciences-Social Sciences (all)
CiteScore
0.10
自引率
0.00%
发文量
12
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