Evidence map›Paper›PMID 31310429›Full record

SynthesisGlobal change biology2019

Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests.

Manfredo di Porcia E Brugnera, Félicien Meunier, Marcos Longo, Sruthi M Krishna Moorthy, Hannes De Deurwaerder, Stefan A Schnitzer, Damien Bonal, Boris Faybishenko, Hans Verbeeck

Abstract readMeta-Analysis
In one paragraph

Synthesis in Global change biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Linking physiology, epidemiology, and demography: Understanding how lianas outcompete trees in a changing world.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
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

9 authors.

Manfredo di Porcia E BrugneraCAVElab - Computational and Applied Vegetation Ecology, Ghent University, Ghent, Belgium.ORCID 0000-0001-8965-6281
Félicien MeunierCAVElab - Computational and Applied Vegetation Ecology, Ghent University, Ghent, Belgium.ORCID 0000-0003-2486-309X
Marcos LongoEmbrapa Agricultural Informatics, Campinas, SP, Brazil.ORCID 0000-0001-5062-6245
Sruthi M Krishna MoorthyCAVElab - Computational and Applied Vegetation Ecology, Ghent University, Ghent, Belgium.ORCID 0000-0002-6838-2880
Hannes De DeurwaerderCAVElab - Computational and Applied Vegetation Ecology, Ghent University, Ghent, Belgium.ORCID 0000-0002-9287-2062
Stefan A SchnitzerSmithsonian Tropical Research Institute, Balboa, Ancon, Panama.ORCID 0000-0002-2715-9455
Damien BonalUMR Silva, Université de Lorraine, AgroParisTech, INRA, Nancy, France.ORCID 0000-0001-9602-8603
Boris FaybishenkoEarth and Environmental Science Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0003-0085-8499
Hans VerbeeckCAVElab - Computational and Applied Vegetation Ecology, Ghent University, Ghent, Belgium.ORCID 0000-0003-1490-0168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is mounting empirical evidence that lianas affect the carbon cycle of tropical forests. However, no single vegetation model takes into account this growth form, although such efforts could greatly improve the predictions of carbon dynamics in tropical forests. In this study, we incorporated a novel mechanistic representation of lianas in a dynamic global vegetation model (the Ecosystem Demography Model). We developed a liana-specific plant functional type and mechanisms representing liana-tree interactions (such as light competition, liana-specific allometries, and attachment to host trees) and parameterized them according to a comprehensive literature meta-analysis. We tested the model for an old-growth forest (Paracou, French Guiana) and a secondary forest (Gigante Peninsula, Panama). The resulting model simulations captured many features of the two forests characterized by different levels of liana infestation as revealed by a systematic comparison of the model outputs with empirical data, including local census data from forest inventories, eddy flux tower data, and terrestrial laser scanner-derived forest vertical structure. The inclusion of lianas in the simulations reduced the secondary forest net productivity by up to 0.46 t

Indexed as

EcosystemTropical ClimateCarbon CycleDemographyForestsPanamaTreescarbon dynamicsdynamic global vegetation modelecologylianasplant functional typetropical forest

Identifiers

PMID31310429
PMCPMC6856694

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.