Purpose of Review

The forest structure generally refers to the configuration and distribution of different plant species and sizes. Investigation and analysis of forest structures help us to understand the history, current status, and future development of forest ecological systems. This paper aims at a systematic summary of the quantitative analysis methods of forest structure.

Recent Findings

The marked second-order characteristic method has obvious advantages in explaining the relationships among tree species and the dynamic relationship between tree size differentiation and scale. The quantitative analysis method of spatial structure based on the relationships of nearest neighbor trees, compared with traditional non-spatial indices or functions, does not only analyze four important aspects of the forest structure (spatial distribution pattern diversity, species diversity, size diversity, crowding degree diversity), but also demonstrates its strength in elaborating fine-scale spatial stand structure. This nearest-neighbor analytical method also bridges the gap between stand structure parameters and tree competition indices, especially through the multivariate distribution of structural parameters.

Summary

This nearest-neighbor analytical method provides an in-depth, multi-faceted interpretation of forest structure at different levels. Structure-based forest management has been proposed based on this analytical method of spatial structure, and is a proven way to effectively improve forest quality.

中文翻译：

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森林结构研究方法综述

审查目的

森林结构通常是指不同植物物种和大小的构造和分布。对森林结构的调查和分析有助于我们了解森林生态系统的历史，现状和未来发展。本文旨在对森林结构定量分析方法进行系统的总结。

最近的发现

标记二阶特征方法在解释树种之间的关系以及树大小差异与规模之间的动态关系方面具有明显的优势。与传统的非空间指标或功能相比，基于最近邻树之间关系的空间结构定量分析方法不仅分析了森林结构的四个重要方面（空间分布格局多样性，物种多样性，大小多样性，拥挤程度）高度多样性），但也证明了其在细化空间尺度林分结构方面的优势。这种最近邻分析方法还可以弥补林分结构参数与树木竞争指数之间的差距，特别是通过结构参数的多元分布。

概要

这种最接近的分析方法可以对不同层次的森林结构进行深入，多方面的解释。基于这种空间结构分析方法，提出了基于结构的森林管理方法，是有效提高森林质量的有效途径。