Evidence map›Paper›PMID 39619676›Full record

ArticleEcological modelling2024

Towards a liana plant functional type for vegetation models.

Hans Verbeeck, Hannes P T De Deurwaerder, Elizabeth Kearsley, Sruthi M Krishna Moorthy, Francis Mumbanza Mundondo, Kasper Coppieters, Stefan A Schnitzer, Marcos Longo, Marc Peaucelle, Marijn Bauters and 1 more

Abstract read
In one paragraph

Article in Ecological modelling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hans VerbeeckQ-ForestLab, Department of Environment, Ghent University, Ghent, Belgium.
Hannes P T De DeurwaerderDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States.
Elizabeth KearsleyBlueGreen Labs, Melsele, Belgium.
Sruthi M Krishna MoorthyQ-ForestLab, Department of Environment, Ghent University, Ghent, Belgium.
Francis Mumbanza MundondoQ-ForestLab, Department of Environment, Ghent University, Ghent, Belgium.
Kasper CoppietersQ-ForestLab, Department of Environment, Ghent University, Ghent, Belgium.
Stefan A SchnitzerDepartment of Biological Sciences, Marquette University, Milwaukee, Wisconsin 53201, United States.
Marcos LongoClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, United States.
Marc PeaucelleINRAE, Soil-Plant-Atmosphere Interactions laboratory (UMR ISPA), Villenave d'Ornon, France.
Marijn BautersQ-ForestLab, Department of Environment, Ghent University, Ghent, Belgium.
Félicien MeunierQ-ForestLab, Department of Environment, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

LianasPlant functional typeTropical forestVegetation model

Identifiers

PMID39619676
PMCPMC11568259

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.