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影响因子：11.4

DOI码：10.1016/j.rse.2026.115277

所属单位：东北林业大学

发表刊物：Remote Sensing of Environment (Q1)

刊物所在地：荷兰（阿姆斯特丹）

关键字：LiDAR; Crown volume; Structural complexity of the tree crown; Ecological niche; Tree competition

摘要：The structural complexity of tree crown describes the intricate arrangement and occupancy of leaves and thin branches in the canopy, which is crucial to shaping the stability of forest ecosystem. Numerous studies have provided sufficient theoretical basis and effective quantitative indexes for structural complexity, there are still some bottlenecks, such as: ecological niche occupancy and tree competitiveness have not yet been incorporated into the evaluation system for forest structural complexity; and the in-depth analysis of structural complexity at the individual scale has been ignored. In view of the above limitations, this study proposed a novel synergistic index, namely, the spatial occupancy index of tree crown (SOI) and taken the unmanned aerial vehicle laser scanning (ULS) and terrestrial laser scanning (TLS) data of 14 plots of typical natural secondary forests and plantation (including six dominant tree species: Korean larch, Korean pine, Birch, Manchurian ash, Mongolian oak, and the plantation of Korean pine) as examples. Firstly, an optimized algorithm (i.e., 3D alpha shape-voxelization (3D-ASV)) was proposed to efficiently calculate the crown volume; Secondly, a coupling index based on crown volume was proposed to efficiently quantify the structural complexity and ecological niche of tree crowns. The results indicated that the 3D-ASV algorithm provides an obvious advantage in estimating tree crown volume, with the highest correlation with AGB (r = 0.63). Crucially, SOI is a comprehensive and effective index for quantifying structural complexity of tree crown, that is, SOI is not only highly positive correlation with canopy entropy, canopy cover, canopy top rugosity, fractal dimension (i.e., 0.72 vs. 0.52 vs. 0.57 vs. 0.40), but also compensates for their limitations in explaining tree competitiveness. We believe that SOI will complement the lack of structural complexity at the individual scale, and has the potential to become an ecological analysis and detection tool of forest structure, which will enable us to deepen our understanding of the theory of ‘structure determines function’ of ecosystems, and further promote the incorporation of ecological theories into forest management.

合写作者：Zhen Zhen,Zengrui Zhang,Xuebing Guan,Jiayao Wang

第一作者：Yuting Zhao

论文类型：期刊论文

通讯作者：Yinghui Zhao*

论文编号：115277

学科门类：工学

文献类型：J

卷号：335

页面范围：115277

ISSN号：0034-4257（印刷版）/ 1879-0704（电子版）

是否译文：否

发表时间：2026-01-01

收录刊物：SCI

发布期刊链接：https://www.sciencedirect.com/journal/remote-sensing-of-environment