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首页> 外文期刊>Forest Ecology and Management >Response of sugar maple (Acer saccharum, Marsh.) tree crown structure to competition in pure versus mixed stands
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Response of sugar maple (Acer saccharum, Marsh.) tree crown structure to competition in pure versus mixed stands

机译:枫树(枫树,沼泽)树冠结构对纯林和混交林竞争的响应

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摘要

Characterizing tree crown structure and quantifying its relationships with the surrounding environment is of critical importance in forest ecology and management. These relationships depend heavily on species plasticity and local competition for light. It is however difficult to study forest canopies due to their inaccessibility and complexity. The objective of this study was thus to use terrestrial laser scanning (TLS) data to overcome the limits of traditional canopy studies and to quantify the differences in sugar maple (Acer saccharum, Marsh.) tree crowns between stands with different composition and developmental stage. A total of 72 sugar maple trees and their immediate surroundings were scanned using a TLS. We developed eight crown structure metrics and three competition indices using TLS data. We found that competitive pressure is higher in pure stands, when compared to mixed ones. Sugar maple crowns were bigger, less dense, and more sinuous and open in mixed stands. Moreover, differences between trees were generally more pronounced for trees in mature stands. Finally, TLS competition indices are better predictors of crown metric variability than stand type, highlighting the potential of TLS data to quantify tree competition and space occupancy. Our competition indices are good proxies of the canopy structure and thus seem promising to predict tree growth. (C) 2016 Elsevier B.V. All rights reserved.
机译:表征树冠结构并量化其与周围环境的关系在森林生态和管理中至关重要。这些关系在很大程度上取决于物种的可塑性和当地对光的竞争。然而,由于难以获得和复杂性,难以研究森林冠层。因此,本研究的目的是利用陆地激光扫描(TLS)数据来克服传统树冠研究的局限性,并量化具有不同组成和发育阶段的林分之间糖枫树(枫树枫树)的树冠差异。使用TLS扫描了总共72棵糖枫树及其周围环境。我们使用TLS数据开发了八个冠状结构指标和三个竞争指数。我们发现与纯种林相比,纯林的竞争压力更高。糖枫树冠更大,密度较小,更弯曲且在混合林分中开放。而且,对于成熟林分中的树木,树木之间的差异通常更为明显。最后,TLS竞争指数比林分类型更好地预测树冠度量的可变性,突显了TLS数据量化树木竞争和空间占用的潜力。我们的竞争指数是树冠结构的良好代表,因此似乎有望预测树木的生长。 (C)2016 Elsevier B.V.保留所有权利。

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