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用于估算普兰地下生物量的异速生长方程。

Allometric equations for estimating belowground biomass of Prain.

作者信息

Magalhães Tarquinio Mateus

机构信息

Departamento de Engenharia Florestal, Universidade Eduardo Mondlane, Campus Universitário, Edifício no.1, 257, Maputo, Mozambique.

出版信息

Carbon Balance Manag. 2015 Jul 25;10:16. doi: 10.1186/s13021-015-0027-4. eCollection 2015 Dec.

Abstract

BACKGROUND

The belowground component of the trees is still poorly known because it needs labour- and time-intensive in situ measurements. However, belowground biomass (BGB) constitutes a significant share of the total forest biomass. I analysed the BGB allocation patterns, fitted models for estimating root components and root system biomasses, and called attention for its possible use in predicting anchoring functions of the different root components.

RESULTS

More than half and almost one third of BGB is allocated to the lateral roots and to the root collar, respectively. More than 80% of the BGB is found at a depth range of 9.6-61.2 cm. As the tree size increased, the proportion of BGB allocated to taproots decreased and that allocated to lateral roots increased. All independent models performed almost equally, with the predictors explaining, on average, 98% of the variation in the BGB.

CONCLUSIONS

It was hypothesised that BGB allocation patterns are a response of the anchoring functions of the tap and lateral roots and therefore, root component biomass models can be used as a methodology to predict anchoring functions of the different root components. Based on the fact that all models performed almost equally, the models using either diameter at breast height (DBH) exclusively as a predictor should be preferred, as tree height is difficult to measure. Models using the root collar diameter (RCD) only should be preferred when the tree is found cut down, as sometimes the RCD is affected by root buttress. Given the large sample size, the validation results, and the coverage of a wide geographical, soil and climatic range, the models fitted can be applied in all stands in Mozambique.

摘要

背景

由于树木地下部分需要耗费大量人力和时间进行实地测量,目前人们对其了解仍然很少。然而,地下生物量(BGB)在森林总生物量中占很大比例。我分析了地下生物量的分配模式,拟合了估算根系组成部分和根系生物量的模型,并提请注意其在预测不同根系组成部分锚固功能方面的潜在用途。

结果

分别有超过一半和近三分之一的地下生物量分配给侧根和根颈。超过80%的地下生物量分布在9.6 - 61.2厘米的深度范围内。随着树木大小的增加,分配给主根的地下生物量比例下降,而分配给侧根的比例增加。所有独立模型的表现几乎相同,预测变量平均解释了地下生物量变化的98%。

结论

据推测,地下生物量分配模式是主根和侧根锚固功能的一种反应,因此,根系组成部分生物量模型可作为一种方法来预测不同根系组成部分的锚固功能。基于所有模型表现几乎相同这一事实,应优先选择仅使用胸径(DBH)作为预测变量的模型,因为树高难以测量。当树木被砍伐时,应优先选择仅使用根颈直径(RCD)的模型,因为有时根颈直径会受到根支撑的影响。鉴于样本量大、验证结果以及广泛的地理、土壤和气候范围覆盖,所拟合的模型可应用于莫桑比克的所有林分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfec/5256506/523beaa553d0/13021_2015_27_Fig1_HTML.jpg

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