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Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach

文献类型：期刊论文

作者Wang, Haoyu4,5; Hua, Jing4,5; Kang, Mengzhen3,5; Wang, Xiujuan4,5; Fan, Xing-Rong2; Fourcaud, Thierry1; de Reffye, Philippe1
刊名FRONTIERS IN PLANT SCIENCE
出版日期2022-11-10
卷号13页码:17
关键词functional-structural plant model mechanical model critical wind speed tree breakage optimization thigmomorphogenesis
ISSN号1664-462X
DOI10.3389/fpls.2022.971690
通讯作者Kang, Mengzhen(mengzhen.kang@ia.ac.cn) ; Wang, Xiujuan(xiujuan.wang@ia.ac.cn)
英文摘要Plants exhibit plasticity in response to various external conditions, characterized by changes in physiological and morphological features. Although being non-negligible, compared to the other environmental factors, the effect of wind on plant growth is less extensively studied, either experimentally or computationally. This study aims to propose a modeling approach that can simulate the impact of wind on plant growth, which brings a biomechanical feedback to growth and biomass distribution into a functional-structural plant model (FSPM). Tree reaction to the wind is simulated based on the hypothesis that plants tend to fit in the environment best. This is interpreted as an optimization problem of finding the best growth-regulation sink parameter giving the maximal plant fitness (usually seed weight, but expressed as plant biomass and size). To test this hypothesis in silico, a functional-structural plant model, which simulates both the primary and secondary growth of stems, is coupled with a biomechanical model which computes forces, moments of forces, and breakage location in stems caused by both wind and self-weight increment during plant growth. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is adopted to maximize the multi-objective function (stem biomass and tree height) by determining the key parameter value controlling the biomass allocation to the secondary growth. The digital trees show considerable phenotypic plasticity under different wind speeds, whose behavior, as an emergent property, is in accordance with experimental results from works of literature: the height and leaf area of individual trees decreased with wind speed, and the diameter at the breast height (DBH) increased at low-speed wind but declined at higher-speed wind. Stronger wind results in a smaller tree. Such response of trees to the wind is realistically simulated, giving a deeper understanding of tree behavior. The result shows that the challenging task of modeling plant plasticity may be solved by optimizing the plant fitness function. Adding a biomechanical model enriches FSPMs and opens a wider application of plant models.
WOS关键词PLANT-GROWTH ; MECHANICAL MODEL ; SHAPE REGULATION ; GREENLAB MODEL ; STRESSES ; THIGMOMORPHOGENESIS ; ARCHITECTURE ; COMPETITION ; SIMULATION ; DENSITY
资助项目Major S&T project (Innovation 2030) of China[2021ZD0113704] ; National Natural Science Foundation of China[62076239] ; CAS-NSTDA Joint Research Program[GJHZ2076] ; Natural Science Startup Foundation of Chongqing Technology and Business University[2056019] ; Science and Technology Research Program of Chongqing Municipal Education Commission[KJQN201900833]
WOS研究方向Plant Sciences
语种英语
WOS记录号WOS:000890025700001
出版者FRONTIERS MEDIA SA
资助机构Major S&T project (Innovation 2030) of China ; National Natural Science Foundation of China ; CAS-NSTDA Joint Research Program ; Natural Science Startup Foundation of Chongqing Technology and Business University ; Science and Technology Research Program of Chongqing Municipal Education Commission
源URL[http://ir.ia.ac.cn/handle/173211/50791]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Kang, Mengzhen; Wang, Xiujuan
作者单位1.Univ Montpellier, CIRAD, AMAP, CNRS,INRAE,IRD, Montpellier, France
2.Chongqing Technol & Business Univ, Engn Res Ctr Waste Oil Recovery Technol & Equipmen, Minist Educ, Chongqing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Haoyu,Hua, Jing,Kang, Mengzhen,et al. Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach[J]. FRONTIERS IN PLANT SCIENCE,2022,13:17.
APA Wang, Haoyu.,Hua, Jing.,Kang, Mengzhen.,Wang, Xiujuan.,Fan, Xing-Rong.,...&de Reffye, Philippe.(2022).Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach.FRONTIERS IN PLANT SCIENCE,13,17.
MLA Wang, Haoyu,et al."Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach".FRONTIERS IN PLANT SCIENCE 13(2022):17.

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来源：自动化研究所

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