Towards a liana plant functional type for vegetation models
Year: 2024
Type: article
Abstract: • We identify critical liana traits that contribute to establishing a liana plant functional type in vegetation models for tropical rainforests. • We review key processes to properly represent lianas in ecosystem models. • We discuss a variety of possible liana implementation strategies with their associated strengths, limitations, computational costs and data requirements, based on our experience with implementing lianas in a cohort (ED2) and individual (FORMIND) based model. Lianas (woody climbers) are crucial components of tropical forests and they have been increasingly recognized to have profound effects on tropical forest carbon dynamics. Despite their importance, lianas' representation in vegetation models remains limited, partly due to the complexity of liana-tree dynamics and the diversity in liana life history strategies. This paper provides a comprehensive review of advances and challenges for mechanistically representing lianas in forest ecosystem models and a proposed path towards effectively representing lianas in these models. Defining a liana plant functional type is a significant challenge because of the high morphological and physiological diversity amongst liana species, and because of their structural association with trees. Here, we identify critical liana traits that likely should contribute to establishing a liana plant functional type, along with key processes to properly represent lianas in ecosystem models. Subsequently, we discuss a variety of possible liana implementation strategies with their associated strengths, limitations, computational costs and data requirements. A fundamental redesign of the tree-centric demographic vegetation models seems appropriate to accommodate the unique growth and competition strategies of lianas. We illustrate the potential of such models with a single-site case study where we disentangle putative mechanisms of liana increasing abundance. Furthermore, we underscore the critical need for comprehensive liana demographic and functional data (including long-term, physiological, and pantropical observations) for the qualitative implementation and evaluation in the proposed modeling efforts. Currently, there is a scarcity of liana data and the data that do exist have a neotropical bias. We finally introduce a new liana functional trait database that can centralize existing liana trait data, incentivize improved data gathering and thus facilitate model development and scientific analyses.
Source: Ecological Modelling
Institutions: Ghent University, Princeton University, BlueGreen Labs (bv) (Belgium), University of Oxford, Marquette University, Smithsonian Tropical Research Institute, Lawrence Berkeley National Laboratory, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Interaction Sol Plante Atmosphère, University of Antwerp
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: hybrid
Estimated APC paid: $2,860
Funders: U.S. Department of Energy, Princeton University, Fonds Wetenschappelijk Onderzoek, Vlaamse regering, Office of Science, Horizon 2020 Framework Programme, European Research Council, Biological and Environmental Research, H2020 Marie Skłodowska-Curie Actions, HORIZON EUROPE European Research Council
OpenAlex ID: W4403385385
