Abstract

Despite their low contribution to forest carbon stocks, lianas (woody vines) play an important role in the carbon dynamics of tropical forests. As structural parasites, they hinder tree survival, growth and fecundity; hence, they negatively impact net ecosystem productivity and long‐term carbon sequestration.Competition (for water and light) drives various forest processes and depends on the local abundance of resources over time. However, evaluating the relative role of resource availability on the interactions between lianas and trees from empirical observations is particularly challenging. Previous approaches have used labour‐intensive and ecosystem‐scale manipulation experiments, which are infeasible in most situations.We propose to circumvent this challenge by evaluating the uncertainty of water and light capture processes of a process‐based vegetation model (ED2) including the liana growth form. We further developed the liana plant functional type in ED2 to mechanistically simulate water uptake and transport from roots to leaves, and start the model from prescribed initial conditions. We then used the PEcAn bioinformatics platform to constrain liana parameters and run uncertainty analyses.Baseline runs successfully reproduced ecosystem gas exchange fluxes (gross primary productivity and latent heat) and forest structural features (leaf area index, aboveground biomass) in two sites (Barro Colorado Island, Panama and Paracou, French Guiana) characterized by different rainfall regimes and levels of liana abundance.Model uncertainty analyses revealed that water limitation was the factor driving the competition between trees and lianas at the drier site (BCI), and during the relatively short dry season of the wetter site (Paracou). In young patches, light competition dominated in Paracou but alternated with water competition between the wet and the dry season on BCI according to the model simulations.The modelling workflow also identified key liana traits (photosynthetic quantum efficiency, stomatal regulation parameters, allometric relationships) and processes (water use, respiration, climbing) driving the model uncertainty. They should be considered as priorities for future data acquisition and model development to improve predictions of the carbon dynamics of liana‐infested forests. Synthesis. Competition for water plays a larger role in the interaction between lianas and trees than previously hypothesized, as demonstrated by simulations from a process‐based vegetation model.

Highlights

  • The terrestrial biosphere is a critical component of the Earth system, responsible for the uptake of up to 30% of anthropogenic carbon emissions (Le Quéré et al, 2018)

  • We propose to circumvent this challenge by evaluating the uncertainty of water and light capture processes of a process-based vegetation model (ED2) including the liana growth form

  • We presented in this study the first vegetation model able to disentangle the contribution of water and light in the competition for resources between lianas and trees

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Summary

| INTRODUCTION

The terrestrial biosphere is a critical component of the Earth system, responsible for the uptake of up to 30% of anthropogenic carbon emissions (Le Quéré et al, 2018). Numerous in situ studies have revealed functional and structural differences in leaf-level gas exchange (Slot & Winter, 2017; Slot et al, 2013), hydraulic properties (De Guzman et al, 2016), rooting depth (De Deurwaerder et al, 2018; Smith-Martin et al, 2019), root and stem vessel diameters (Ewers et al, 1997; Gartner et al, 1990), or leaf properties and allocation (Wyka et al, 2013) Those contrasts in the hydraulic architecture and functioning of lianas and trees need to be accounted for in vegetation models to determine the exact role and impact of lianas in the forest biogeochemical cycles. The comprehensive liana PFT meta-analysis allowed us to better constrain the model parameters, update the original implementation of di Porcia e Brugnera et al (2019) and estimate the reduction of parameter uncertainty gained thanks to such a literature review

| MATERIALS AND METHODS
| DISCUSSION
| Study limitations and perspectives
Findings
| CONCLUSIONS
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