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Effects of forest canopy structural complexity on productivity and its stability in the Qinling Mountains

Insights into environmental dependence

Dados Bibliográficos

ID19587378
AutoresChenlu Li (0000-0002-4561-970X, Xi'an University of Architecture and Technology), Fei Yu (0000-0002-2824-9866), F Richard Yu (0000-0003-1006-7594, Northwestern Polytechnical University), Tiezhu Jiao (Northwestern Polytechnical University), Jiangbo Yan (Northwestern Polytechnical University), Xiaohua Feng (State Forestry and Grassland Administration), Liang Zhao (0000-0002-7679-5087, Experimental Center of Forestry in North China), Arshad Ali (0000-0002-7738-5776, Hebei University), Huiwen Li (0000-0001-7829-9063, Northwestern Polytechnical University, autor correspondente), Zuoqiang Yuan (0000-0001-9197-7076, Northwestern Polytechnical University, autor correspondente)
Ano2026
Volume24
Páginas101197
Data de publicação2026-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoTrees Forests and People (JOURNAL)
Identificadores do periódicoISSN: 2666-7193 • E-ISSN: 2666-7193
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.tfp.2026.101197
OpenAlexW7130505774
IdiomaEN
Referências citadas75

Forest canopy structural complexity is a key determinant of forest productivity and exerts a strong influence on its stability. Yet, the relationship between forest canopy structural complexity and productivity and its stability under changing environmental factors remains unresolved. Based on a LiDAR approach for quantification of forest canopy structural attributes, this study chose China’s Qinling Mountains as the study area to investigate the impact of forest canopy structural complexity on NPP and its stability across different terrain aspects and environmental conditions. The results showed that three canopy parameters (LAI, MCH, and CE), environmental factors, NPP and its stability all exhibited significant differences between the northern and southern aspects, as well as across Qinling Mountains. Canopy structural complexity and productivity stability were higher on the southern aspect. The forest canopy structural attributes and environmental factors in the Qinling Mountains jointly influenced the mean productivity, explaining 53% of the variation in the mean productivity. On the humid southern aspect, the complexity of canopy structure had a significant impact on forest productivity. Conversely, on the arid northern aspect, the relationship was not significant. The response of productivity stability to canopy structure attributes and environmental changes displayed a similar pattern. Our study revealed that the effect of forest canopy structure on productivity and its stability is heavily dependent on environmental factors. This study offers a theoretical foundation for formulating forest management strategies adapted to diverse environmental conditions from a forest canopy perspective

Arid · Canopy · Ecological stability · Forest ecology · Productivity · Structural complexity · Tree canopy · Plant Water Relations and Carbon Dynamics · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture

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