Computational botany: advancing plant science through functional-structural plant modelling PREFACE

doi:10.1093/aob/mcy050

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Computational botany: advancing plant science through functional-structural plant modelling PREFACE
	Evers, Jochem B.1; Letort, Veronique 2; Renton, Michael 3,4; Kang, Mengzhen5,6
发表期刊	ANNALS OF BOTANY
	2018-04-01
卷号	121 期号:5 页码:767-772
文章类型	Editorial Material
摘要	The need to integrate the ever-expanding body of knowledge in the plant sciences has led to the development of sophisticated modelling approaches. This special issue focuses on functional-structural plant (FSP) models, which are the result of cross-fertilization between the domains of plant science, computer science and mathematics. FSP models simulate growth and morphology of individual plants that interact with their environment, from which complex plant community properties emerge. FSP models can be used for a broad range of research questions across disciplines related to plant science. This special issue presents the latest developments in FSP modelling, including the novel incorporation of plant ecophysiological concepts and the application of FSP models to address new scientific questions. Additionally, it illustrates the breadth of model evaluation approaches that are performed. FSP modelling is a very active domain of plant research which brings together a wide range of scientific disciplines. It offers the opportunity to address questions in complex plant systems that cannot be addressed by empirical approaches alone, including questions on fundamental concepts related to plant development such as regulation of morphogenesis, as well as on applied concepts such as the relationship between crop performance and plant competition for resources.
关键词	Functional–structural Plant Modelling
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
DOI	10.1093/aob/mcy050
关键词[WOS]	ROOT-SYSTEM ; GROWTH ; ARCHITECTURE ; SIMULATION ; PLASTICITY ; TRANSPORT ; MIXTURES ; FORM
收录类别	SCI
语种	英语
WOS研究方向	Plant Sciences
WOS类目	Plant Sciences
WOS记录号	WOS:000430676600001
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/22034
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
作者单位	1.Wageningen Univ, Ctr Crop Syst Anal, Wageningen, Netherlands 2.Univ Paris Saclay, Cent Supelec, Math & Informat Complex & Syst, Gif Sur Yvette, France 3.Univ Western Australia, Sch Biol Sci, Perth, WA, Australia 4.Univ Western Australia, Sch Agr & Environm, Perth, WA, Australia 5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 6.Qingdao Acad Intelligent Ind, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Evers, Jochem B.,Letort, Veronique,Renton, Michael,et al. Computational botany: advancing plant science through functional-structural plant modelling PREFACE[J]. ANNALS OF BOTANY,2018,121(5):767-772.
APA	Evers, Jochem B.,Letort, Veronique,Renton, Michael,&Kang, Mengzhen.(2018).Computational botany: advancing plant science through functional-structural plant modelling PREFACE.ANNALS OF BOTANY,121(5),767-772.
MLA	Evers, Jochem B.,et al."Computational botany: advancing plant science through functional-structural plant modelling PREFACE".ANNALS OF BOTANY 121.5(2018):767-772.

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