文献类型：期刊文献

英文题名：Phenotyping Rubber Trees: Utilizing Point Cloud Analysis and Digital Twin Technology Under Intense Wind Stress

作者：Yun, Ting[1,2] Yuan, Xinyue[2] Eichhorn, Markus P.[3] Jin, Shichao[4] Fang, Wenjie[2] Lu, Xin[2] Wang, Xiangjun[5] Zhang, Huaiqing[6]

第一作者：Yun, Ting

机构：[1] Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China; [2] College of Information Science and Technology, Nanjing Forestry University, Nanjing, 210037, China; [3] School of Biological, Earth and Environmental Sciences, University College Cork, Distillery Fields, North Mall, Cork, T23 N73K, Ireland; [4] Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 210095, China; [5] Chinese Academy of Tropical Agricultural Sciences, Ministry of Agriculture, Rubber Research Institute, Danzhou Investigation and Experiment Station of Tropical Crops, Danzhou, China; [6] Research Institute of Forestry Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China

年份：2024

外文期刊名：SSRN

收录：EI(收录号：20240107984)

语种：英文

外文关键词：Aerodynamic drag - Aerodynamics - Computer graphics - Ecosystems - Forestry - Kinetics - Rubber - Turbulence models - Wind stress

摘要：Rubber trees in coastal habitats survive under a range of wind climates due to their phenotypic plasticity. An algorithm-hardware synergetic framework was developed for investigating and predicting rubber tree phenotyping excited by strong winds. The framework includes (1) a custom-designed industrial fan that recreates a variable airflow field at wind speeds of 15, 30 and 45 m/s coupled with a terrestrial laser scanner and bundled motion sensors to acquire point clouds and vibration data; (2) a graphic model that approximates tree canopies based on foliage clumps with phenotypic traits that are derived from point clouds at the status of tree crown suppression subjected to aerodynamic drag; and (3) the wind characteristic parameters of forest canopies were calculated by a developed forest-specialized k-Ε turbulence model combining the constructed tree models and grid-scale subdivision of the wind fluid field. (4) A digital twin model that incorporates detailed tree phenotypic traits and considers plant mechanical characteristics was established, depicting the related wind-induced actions of target trees under various wind influences. The results show that tree crowns with spreading forms are prone to yield larger pendulum amplitudes than compact crowns, but trees directly exposed to wind exhibit greater crown volume reductions than trees in sheltered areas. Within tree canopies, a one-fold increase in inlet wind speed intensified crown compression (approximately 17% decrease in crown volume), generated 2.1-fold pressure gradients and increased turbulence kinetic energy by approximately 60%. This approach deciphers the phenotypic response of trees to wind hazards and can be utilized in the domains of phenotyping or envirotyping for quantifying forest ecosystem resilience. ? 2024, The Authors. All rights reserved.