A simple and effective approach to quantitatively characterize structural complexity

Gongqiao Zhang,Gangying Hui,Aiming Yang,Zhonghua Zhao

doi:10.1038/s41598-020-79334-7

Gongqiao Zhang, Gangying Hui + Show 2 more

Open Access

https://doi.org/10.1038/s41598-020-79334-7

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Abstract

This study brings insight into interpreting forest structural diversity and explore the classification of individuals according to the distribution of the neighbours in natural forests. Natural forest communities with different latitudes and distribution patterns in China were used. Each tree and its nearest neighbours form a structural unit. Random structural units (or random trees) in natural forests were divided into different sub-types based on the uniform angle index (W). The proportions of different random structural units were analysed. (1) There are only two types of random structural units: type R1 looks similar to a dumbbell, and type R2 looks similar to a torch. These two random structural units coexist in natural forests simultaneously. (2) The proportion of type R1 is far less than that of R2, is only approximately 1/3 of all random structural units or random trees; R2 accounts for approximately 2/3. Furthermore, the proportion of basal area presents the same trend for both random structural units and random trees. R2 has approximately twice the basal area of R1. Random trees (structural units) occupy the largest part of natural forest communities in terms of quantity and basal area. Meanwhile, type R2 is the largest part of random trees (structural units). This study finds that the spatial formation mechanism of natural forest communities which is of great significance to the cultivation of planted forests.

Highlights

This study brings insight into interpreting forest structural diversity and explore the classification of individuals according to the distribution of the neighbours in natural forests
(1) There are only two types of random structural units: type R1 looks similar to a dumbbell, and type R2 looks similar to a torch
The proportion of basal area presents the same trend for both random structural units and random trees

Summary

Introduction

This study brings insight into interpreting forest structural diversity and explore the classification of individuals according to the distribution of the neighbours in natural forests. Random structural units (or random trees) in natural forests were divided into different sub-types based on the uniform angle index (W). Random trees (structural units) occupy the largest part of natural forest communities in terms of quantity and basal area. Individuals and the spatial structure of neighbours are the basis of habitat heterogeneity and forest structure diversity, especially when studying ecological processes, such as tree recruitment, competition and death. These studies are most accurate when they are based on the analysis of individuals[23,24]. Plot Dimensions Density trees/hm[2] A1 100 m × 100 m 924 A2 100 m × 100 m 1149 B3 200 m × 200 m 202 C4 100 m × 100 m 936 C5 100 m × 100 m 748 C6 100 m × 100 m 816 C7 100 m × 100 m 808 C8 100 m × 100 m 797 C9 100 m × 100 m 1178 D10 140 m × 70 m 888 E11 100 m × 30 m 820

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Conclusion