The Multivariate Distribution of Stand Spatial Structure and Tree Size Indices Using Neighborhood-Based Variables in Coniferous and Broad Mixed Forest

Author:

Wang Yiru123,Li Jiping123,Cao Xiaoyu123,Liu Zhaohua1234ORCID,Lv Yong123

Affiliation:

1. Faculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China

2. Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China

3. Research Centre of Forest Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China

4. Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Changsha 410004, China

Abstract

The spatial structure of forest stands significantly influences inter-tree competition and the overall stability of the stand’s ecological dynamics, and a profound understanding of forest stand spatial structure is essential for both effective forest management and ecological research. Previous studies on spatial structure have primarily employed single variables, offering only one-dimensional structural insights and lacking the capacity to interpret multidimensional information. In light of these limitations, our study introduces a novel approach founded on a six-variable distribution, aimed at conducting a comprehensive analysis and interpretation of the spatial attributes of forest stands. Diverging from conventional univariate or bivariate methods, the hexi-variate approach simultaneously considers six variables, facilitating a more intricate exploration of the intricate interrelationships within forest ecosystems from six distinct dimensions. We conducted an in-depth analysis of the spatial structural attributes within the forest stand, encompassing factors such as species diversity, size variation, spatial distribution patterns, openness, vertical stratification, and stand competition. To capture a comprehensive view of the trees’ spatial information, we employed the hexadecimal distribution method, effectively quantifying their characteristics across six dimensions. Our study unveiled a significant correlation between spatial structure and stand growth, establishing a connection by integrating the spatial structure with key structural features relevant to tree size. The outcomes of this study shed light on the effectiveness and superiority of the six-element distribution method when it comes to the analysis of forest structural characteristics. Our approach offers valuable insights into the optimization of forest management strategies, encompassing selective harvesting and biodiversity conservation, thereby establishing a solid footing for sustainable forest management practices.

Funder

the Scientific Innovation Fund for Post-graduates of Central South University of Forestry and Technology

the National Forest Management Science and Technology Support Research Project: Research and Demonstration of Multifunctional Forest Management Operation Method in Jindong Forest Farm, Hunan Province

Publisher

MDPI AG

Subject

Forestry

Reference61 articles.

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4. Retention Forestry to Maintain Multifunctional Forests: A World Perspective;Gustafsson;Bioscience,2012

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