globalchange  > 过去全球变化的重建
DOI: 10.1111/nph.15716
WOS记录号: WOS:000467301100011
论文题名:
Delta TraitSDMs: species distribution models that account for local adaptation and phenotypic plasticity
作者: Garzon, Marta Benito1; Robson, T. Matthew2; Hampe, Arndt1
通讯作者: Garzon, Marta Benito
刊名: NEW PHYTOLOGIST
ISSN: 0028-646X
EISSN: 1469-8137
出版年: 2019
卷: 222, 期:4, 页码:1757-1765
语种: 英语
英文关键词: common gardens ; intraspecific variation ; local adaptation ; phenotypic plasticity ; species ranges ; traits ; trees
WOS关键词: CLIMATE-CHANGE ; FLOWERING PHENOLOGY ; FUNCTIONAL TRAITS ; EUROPEAN BEECH ; RANGE ; POPULATIONS ; RESPONSES ; SELECTION ; NICHE ; WILL
WOS学科分类: Plant Sciences
WOS研究方向: Plant Sciences
英文摘要:

Improving our understanding of species ranges under rapid climate change requires application of our knowledge of the tolerance and adaptive capacity of populations to changing environmental conditions. Here, we describe an emerging modelling approach, Delta TraitSDM, which attempts to achieve this by explaining species distribution ranges based on phenotypic plasticity and local adaptation of fitness-related traits measured across large geographical gradients. The collection of intraspecific trait data measured in common gardens spanning broad environmental clines has promoted the development of these new models - first in trees but now rapidly expanding to other organisms. We review, explain and harmonize the main findings from this new generation of models that, by including trait variation over geographical scales, are able to provide new insights into future species ranges. Overall, Delta TraitSDM predictions generally deliver a less alarming message than previous models of species distribution under new climates, indicating that phenotypic plasticity should help, to a considerable degree, some plant populations to persist under climate change. The development of Delta TraitSDMs offers a new perspective to analyse intraspecific variation in single and multiple traits, with the rationale that trait (co)variation and consequently fitness can significantly change across geographical gradients and new climates.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139956
Appears in Collections:过去全球变化的重建

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作者单位: 1.Univ Bordeaux, BIOGECO INRA, UMR 1202, F-33400 Pessac, France
2.Univ Helsinki, Fac Biol & Environm Sci, Viikki Plant Sci Ctr ViPS, OEB, POB 65, FIN-00014 Helsinki, Finland

Recommended Citation:
Garzon, Marta Benito,Robson, T. Matthew,Hampe, Arndt. Delta TraitSDMs: species distribution models that account for local adaptation and phenotypic plasticity[J]. NEW PHYTOLOGIST,2019-01-01,222(4):1757-1765
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