Home LiteratureArticle Details
PMID: 27189787 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't

Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests.

The New phytologist ·Vol. 212 ·No. 1 ·2016-00-00 ·Pages 80-95

Xu X, Medvigy D, Powers JS, Becknell JM, Guan K

Abstract

We assessed whether diversity in plant hydraulic traits can explain the observed diversity in plant responses to water stress in seasonally dry tropical forests (SDTFs). The Ecosystem Demography model 2 (ED2) was updated with a trait-driven mechanistic plant hydraulic module, as well as novel drought-phenology and plant water stress schemes. Four plant functional types were parameterized on the basis of meta-analysis of plant hydraulic traits. Simulations from both the original and the updated ED2 were evaluated against 5 yr of field data from a Costa Rican SDTF site and remote-sensing data over Central America. The updated model generated realistic plant hydraulic dynamics, such as leaf water potential and stem sap flow. Compared with the original ED2, predictions from our novel trait-driven model matched better with observed growth, phenology and their variations among functional groups. Most notably, the original ED2 produced unrealistically small leaf area index (LAI) and underestimated cumulative leaf litter. Both of these biases were corrected by the updated model. The updated model was also better able to simulate spatial patterns of LAI dynamics in Central America. Plant hydraulic traits are intercorrelated in SDTFs. Mechanistic incorporation of plant hydraulic traits is necessary for the simulation of spatiotemporal patterns of vegetation dynamics in SDTFs in vegetation models.

Keywords
Ecosystem Demography model 2 (ED2) diversity plant functional trait plant hydraulics seasonally dry tropical forests tropical phenology
MeSH Terms
Computer Simulation Ecosystem Forests Models, Theoretical Plant Leaves/anatomy & histology,metabolism Plants/metabolism Regression Analysis Seasons Tropical Climate Water/physiology Wood/physiology Xylem/physiology
Chemicals
Water
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Xu Xiangtao ORCID
Department of Geosciences, Princeton University, Princeton, NJ, 08544, USA.
Medvigy David
Department of Geosciences, Princeton University, Princeton, NJ, 08544, USA.
Powers Jennifer S
Departments of Ecology, Evolution & Behavior and Plant Biology, University of Minnesota Twin Cities, Minneapolis, MN, 55108, USA.
Becknell Justin M
Department of Ecology & Evolutionary Biology, Brown University, Providence, RI, 02912, USA.
Guan Kaiyu
Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana Champaign, Urbana, IL, 61801, USA.
Article Info
Journal
The New phytologist
Abbr.
New Phytol
ISSN
1469-8137
Published
2016-00-00
Epub
2016-00-18
Pages
80-95
Language
English
Region
England
NLM ID
9882884
Subset
IM
Corrections
CommentIn
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com