Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.14814 |
Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change | |
Trugman, Anna T.1,2; Anderegg, Leander D. L.3,4; Sperry, John S.2; Wang, Yujie2; Venturas, Martin2; Anderegg, William R. L.2 | |
2019-10-01 | |
发表期刊 | GLOBAL CHANGE BIOLOGY
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ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2019 |
文章类型 | Review;Early Access |
语种 | 英语 |
国家 | USA |
英文摘要 | Plant functional traits provide a link in process-based vegetation models between plant-level physiology and ecosystem-level responses. Recent advances in physiological understanding and computational efficiency have allowed for the incorporation of plant hydraulic processes in large-scale vegetation models. However, a more mechanistic representation of water limitation that determines ecosystem responses to plant water stress necessitates a re-evaluation of trait-based constraints for plant carbon allocation, particularly allocation to leaf area. In this review, we examine model representations of plant allocation to leaves, which is often empirically set by plant functional type-specific allometric relationships. We analyze the evolution of the representation of leaf allocation in models of different scales and complexities. We show the impacts of leaf allocation strategy on plant carbon uptake in the context of recent advancements in modeling hydraulic processes. Finally, we posit that deriving allometry from first principles using mechanistic hydraulic processes is possible and should become standard practice, rather than using prescribed allometries. The representation of allocation as an emergent property of scarce resource constraints is likely to be critical to representing how global change processes impact future ecosystem dynamics and carbon fluxes and may reduce the number of poorly constrained parameters in vegetation models. |
英文关键词 | allocation ecohydrological equilibrium leaf area optimization plant hydraulics vegetation models vegetation water demand |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000491071300001 |
WOS关键词 | TERRESTRIAL BIOSPHERE MODEL ; AGE-RELATED DECLINE ; ECOSYSTEM DYNAMICS ; CARBON ALLOCATION ; ALLOMETRIC EQUATIONS ; ABOVEGROUND BIOMASS ; STOMATAL RESPONSES ; TRACTABLE MODEL ; SCOTS PINE ; FORESTS |
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/187385 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA; 2.Univ Utah, Sch Biol Sci, Salt Lake City, UT USA; 3.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA USA; 4.Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA |
推荐引用方式 GB/T 7714 | Trugman, Anna T.,Anderegg, Leander D. L.,Sperry, John S.,et al. Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change[J]. GLOBAL CHANGE BIOLOGY,2019. |
APA | Trugman, Anna T.,Anderegg, Leander D. L.,Sperry, John S.,Wang, Yujie,Venturas, Martin,&Anderegg, William R. L..(2019).Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change.GLOBAL CHANGE BIOLOGY. |
MLA | Trugman, Anna T.,et al."Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change".GLOBAL CHANGE BIOLOGY (2019). |
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