Towards a New Generation of Trait-Flexible Vegetation Models

doi:10.1016/j.tree.2019.11.006

GSTDTAP > 资源环境科学

DOI	10.1016/j.tree.2019.11.006
	Towards a New Generation of Trait-Flexible Vegetation Models
	Berzaghi, Fabio 1,2,3; Wright, Ian J.2; Kramer, Koen 4; Oddou-Muratorio, Sylvie 5; Bohn, Friedrich J.6,7; Reyer, Christopher P. O.8; Sabate, Santiago 9,10; Sanders, Tanja G. M.11; Hartig, Florian 12
	2020-03-01
发表期刊	TRENDS IN ECOLOGY & EVOLUTION
ISSN	0169-5347
EISSN	1872-8383
出版年	2020
卷号	35 期号:3 页码:191-205
文章类型	Review
语种	英语
国家	France; Australia; Italy; Netherlands; Germany; Spain
英文摘要	Plant trait variability, emerging from eco-evolutionary dynamics that range from alleles to macroecological scales, is one of the most elusive, but possibly most consequential, aspects of biodiversity. Plasticity, epigenetics, and genetic diversity are major determinants of how plants will respond to climate change, yet these processes are rarely represented in current vegetation models. Here, we provide an overview of the challenges associated with understanding the causes and consequences of plant trait variability, and review current developments to include plasticity and evolutionary mechanisms in vegetation models. We also present a roadmap of research priorities to develop a next generation of vegetation models with flexible traits. Including trait variability in vegetation models is necessary to better represent biosphere responses to global change.
领域	资源环境
收录类别	SCI-E
WOS记录号	WOS:000514185400002
WOS关键词	CLIMATE-CHANGE IMPACTS ; LEAF DRY MASS ; FUNCTIONAL TRAITS ; PHOTOSYNTHETIC CAPACITY ; PHENOTYPIC PLASTICITY ; PLANT RESPIRATION ; LOCAL ADAPTATION ; NITROGEN-CONTENT ; BARK THICKNESS ; BUD BURST
WOS类目	Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向	Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/280409
专题	资源环境科学
作者单位	1.UVSQ, CNRS, CEA, LSCE,UMR, F-91191 Gif Sur Yvette, France; 2.Macquarie Univ, Dept Biol Sci, Sydney, NSW 2022, Australia; 3.Univ Tuscia, Dipartimento Innovaz Sistemi Biol Agroalimentari, I-01100 Viterbo, Italy; 4.Wageningen Univ & Res, Droevendaalse Steeg 4, NL-6700 AA Wageningen, Netherlands; 5.INRAE, URFM Ecol Mediterranean Forests, F-84000 Avignon, France; 6.Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Atmospher Environm Res IMK IFU, Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany; 7.UFZ Helmholtz Ctr Environm Res, Permoserstr 15, D-04318 Leipzig, Germany; 8.Potsdam Inst Climate Impact Res PIK, Leibniz Assoc, POB 60 12 03, D-14412 Potsdam, Germany; 9.Univ Barcelona, Dept Evolutionary Biol Ecol & Environm Sci, E-08028 Barcelona, Spain; 10.CREAF Ctr Ecol Res & Forestry Applicat, Cerdanyola Del Valles 08193, Spain; 11.Thuenen Inst Forest Ecosyst, Alfred Moeller Str 1,Haus 41-42, D-16225 Eberswalde, Germany; 12.Univ Regensburg, Fac Biol & Preclin Med, Theoret Ecol, Unive Str 3, D-93053 Regensburg, Germany
推荐引用方式 GB/T 7714	Berzaghi, Fabio,Wright, Ian J.,Kramer, Koen,et al. Towards a New Generation of Trait-Flexible Vegetation Models[J]. TRENDS IN ECOLOGY & EVOLUTION,2020,35(3):191-205.
APA	Berzaghi, Fabio.,Wright, Ian J..,Kramer, Koen.,Oddou-Muratorio, Sylvie.,Bohn, Friedrich J..,...&Hartig, Florian.(2020).Towards a New Generation of Trait-Flexible Vegetation Models.TRENDS IN ECOLOGY & EVOLUTION,35(3),191-205.
MLA	Berzaghi, Fabio,et al."Towards a New Generation of Trait-Flexible Vegetation Models".TRENDS IN ECOLOGY & EVOLUTION 35.3(2020):191-205.