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  • Presentation | H23F: Frontiers in Ecohydrology II Oral
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  • H23F-05: The role of plant trait acclimation in the representation of future water, energy and carbon fluxes
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  • Location Icon238-239
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Author(s):
Diogo Stalin de Alcantara Araujo, Rutgers University New Brunswick (First Author, Presenting Author)
Athanasios Paschalis, Imperial College London
Brian Enquist, University of Arizona
Amy Frazier, University of California, Santa Barbara
Cory Merow, University of Connecticut
Patrick Roehrdanz, Conservation International
Gabriel Moulatlet, University of Arizona
Lei Song, Clark University
Diyang Cui, University of California, Santa Barbara
Joana M. Krieger, Conservation International
Cesar Hinojo, University of Sonora
Brian Maitner, University of South Florida
Efthymios Nikolopoulos, Rutgers University


The water, energy and carbon cycles involve complex interactions between atmosphere and land surface, with vegetation playing an important role. Plants have the ability to draw water from the ground, and through their leaves, to control interception and transpiration. The energy partitioning between sensible and latent heat is dictated by this transpiration regime and the effect of vegetation to the aerodynamic coupling of the land surface and the atmosphere. Also in the leaves, carbon is assimilated through photosynthesis and used to build organic matter in different plant tissues. Vegetation behavior in modulating these fluxes depends on key plant physiological traits. Leaf Mass per Area (LMA) is one of the most important among them. LMA represents the leaves’ density, and indicates the carbon allocation strategy of plants in building new leaves. It is a crucial part of leaves representation in vegetation modelling, directly influencing the land surface response to atmospheric forcing. In this study, we have created dynamic projections of LMA through Machine Learning (ML) techniques and applied to a mechanistic model, T&C to derive future representation of water, energy and carbon cycles.



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