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Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress

摘要Forest phenotypic responses are significantly influenced by extreme climate conditions,particularly canopy structure and photosynthetic traits.However,the underlying mechanisms driving these responses,especially in conifer species,remain poorly understood.This study employs advanced phenotyping technologies,combining three-dimensional(3D)canopy reconstruction with high-resolution physiological trait analysis,quantifying changes in key physiological traits that light interception,gas exchange parameters stomatal conductance,and chlorophyll content.Developing 3D reconstruction algorithms tailored to conifer canopies is essential for simulating forest ecosystem responses under varying canopy densities.We investigate the following questions:(1)How does thinning affect canopy light penetration and photosynthetic efficiency?Thinning significantly increased light penetration from 15%(CK)to 22%,enhancing photosynthetic efficiency,resulting in an 18%increase in carbon absorption under drought conditions.(2)How does reduced-rainfall affect photosynthetically active radiation(PAR)and stomatal conductance?Reduced-rainfall caused a 12%decrease in PAR,a 20%reduction in stomatal conductance,and an 8%decrease in chlorophyll content.(3)What are the synergistic effects of thinning and reduced-rainfall in carbon absorption?Thinning under reduced-rainfall increased carbon absorption by 25%.This study reveals a significant correlation between chlorophyll content,leaf nitrogen content,and canopy structural dynamics under drought and elevated temperature conditions,offering new in-sights into the adaptive mechanisms plants employ to adjust their photosynthetic processes.In conclusion,the development of 3D reconstruction algorithms tailored for conifer canopies,in regulating photosynthetic traits,is crucial for improving forest adaptation,contributing to functional trait-based forest management and ecosystem modeling.

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作者 Chunyan Wu [1] Tingdong Yang [2] Dongsheng Chen [3] Min Cheng [4] Yanjie Li [5] Xiaomei Sun [3] Shougong Zhang [3] 学术成果认领
作者单位 State Key Laboratory of Tree Genetics and Breeding,Key Laboratory of Tree Breeding and Cultivation of State Forestry and grassland Administration,Research Institute of Forestry,Chinese Academy of Forestry,Beijing,China;State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau,Northwest A&F University,Yangling,712100,Shaanxi,China [1] Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,China [2] State Key Laboratory of Tree Genetics and Breeding,Key Laboratory of Tree Breeding and Cultivation of State Forestry and grassland Administration,Research Institute of Forestry,Chinese Academy of Forestry,Beijing,China [3] Institute of Land and Urban-Rural Development,Zhejiang University of Finance and Economics,Hangzhou,310018,China [4] Centre for Smart Forestry Innovation and Research,Research Institute of Subtropical Forestry,Chinese Academy of Forestry,Hangzhou,Zhejiang,311400,China [5]
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DOI 10.1016/j.plaphe.2025.100070
发布时间 2025-11-18(万方平台首次上网日期,不代表论文的发表时间)
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