GSTDTAP  > 气候变化
DOI10.1111/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
ISSN1354-1013
EISSN1365-2486
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
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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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