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

doi:10.3389/fpls.2022.971690

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach
	Wang, Haoyu 4,5; Hua, Jing 4,5; Kang, Mengzhen 3,5; Wang, Xiujuan 4,5; Fan, Xing-Rong 2; Fourcaud, Thierry 1; de Reffye, Philippe 1
刊名	FRONTIERS IN PLANT SCIENCE
	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
DOI	10.3389/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.
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关键词	PLANT-GROWTH ; MECHANICAL MODEL ; SHAPE REGULATION ; GREENLAB MODEL ; STRESSES ; THIGMOMORPHOGENESIS ; ARCHITECTURE ; COMPETITION ; SIMULATION ; DENSITY
WOS研究方向	Plant Sciences
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000890025700001
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
内容类型	期刊论文
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.