Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.13542 |
Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework | |
Weng, Ensheng1; Farrior, Caroline E.2; Dybzinski, Ray3; Pacala, Stephen W.1 | |
2017-06-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY |
ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2017 |
卷号 | 23期号:6 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Earth system models are incorporating plant trait diversity into their land components to better predict vegetation dynamics in a changing climate. However, extant plant trait distributions will not allow extrapolations to novel community assemblages in future climates, which will require a mechanistic understanding of the trade-offs that determine trait diversity. In this study, we show how physiological trade-offs involving leaf mass per unit area (LMA), leaf lifespan, leaf nitrogen, and leaf respiration may explain the distribution patterns of evergreen and deciduous trees in the temperate and boreal zones based on (1) an evolutionary analysis of a simple mathematical model and (2) simulation experiments of an individual-based dynamic vegetation model (i.e., LM3-PPA). The evolutionary analysis shows that these leaf traits set up a trade-off between carbon-and nitrogen-use efficiency at the scale of individual trees and therefore determine competitively dominant leaf strategies. As soil nitrogen availability increases, the dominant leaf strategy switches from one that is high in nitrogen-use efficiency to one that is high in carbon-use efficiency or, equivalently, from high-LMA/long-lived leaves (i.e., evergreen) to low-LMA/short-lived leaves (i.e., deciduous). In a region of intermediate soil nitrogen availability, the dominant leaf strategy may be either deciduous or evergreen depending on the initial conditions of plant trait abundance (i.e., founder controlled) due to feedbacks of leaf traits on soil nitrogen mineralization through litter quality. Simulated successional patterns by LM3-PPA from the leaf physiological trade-offs are consistent with observed successional dynamics of evergreen and deciduous forests at three sites spanning the temperate to boreal zones. |
英文关键词 | dynamic global vegetation model evolutionarily stable strategy forest succession game theory leaf traits LM3-PPA nitrogen cycle |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000400445900030 |
WOS关键词 | PLANT FUNCTIONAL TYPES ; PHOTOSYNTHESIS-NITROGEN RELATIONS ; LIGHT-USE EFFICIENCY ; LITTER DECOMPOSITION ; TERRESTRIAL CARBON ; EVOLUTIONARY GAMES ; ECONOMICS SPECTRUM ; PRIMARY SUCCESSION ; TRACTABLE MODEL ; ATMOSPHERIC CO2 |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
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/17460 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Princeton Univ, Dept Ecol & Evolut Biol, Princeton, NJ 08544 USA; 2.Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA; 3.Loyola Univ Chicago, Inst Environm Sustainabil, Chicago, IL 60660 USA |
推荐引用方式 GB/T 7714 | Weng, Ensheng,Farrior, Caroline E.,Dybzinski, Ray,et al. Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework[J]. GLOBAL CHANGE BIOLOGY,2017,23(6). |
APA | Weng, Ensheng,Farrior, Caroline E.,Dybzinski, Ray,&Pacala, Stephen W..(2017).Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework.GLOBAL CHANGE BIOLOGY,23(6). |
MLA | Weng, Ensheng,et al."Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework".GLOBAL CHANGE BIOLOGY 23.6(2017). |
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