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

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...

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Autores principales: di Porcia e Brugnera, Manfredo, Meunier, Félicien, Longo, Marcos, Krishna Moorthy, Sruthi M., De Deurwaerder, Hannes, Schnitzer, Stefan A., Bonal, Damien, Faybishenko, Boris, Verbeeck, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856694/
https://www.ncbi.nlm.nih.gov/pubmed/31310429
http://dx.doi.org/10.1111/gcb.14769
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author di Porcia e Brugnera, Manfredo
Meunier, Félicien
Longo, Marcos
Krishna Moorthy, Sruthi M.
De Deurwaerder, Hannes
Schnitzer, Stefan A.
Bonal, Damien
Faybishenko, Boris
Verbeeck, Hans
author_facet di Porcia e Brugnera, Manfredo
Meunier, Félicien
Longo, Marcos
Krishna Moorthy, Sruthi M.
De Deurwaerder, Hannes
Schnitzer, Stefan A.
Bonal, Damien
Faybishenko, Boris
Verbeeck, Hans
author_sort di Porcia e Brugnera, Manfredo
collection PubMed
description 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(C) ha(−1) year(−1), which corresponds to a limited relative reduction of 2.6% in comparison with a reference simulation without lianas. However, this resulted in significantly reduced accumulated above‐ground biomass after 70 years of regrowth by up to 20 t(C)/ha (19% of the reference simulation). Ultimately, the simulated negative impact of lianas on the total biomass was almost completely cancelled out when the forest reached an old‐growth successional stage. Our findings suggest that lianas negatively influence the forest potential carbon sink strength, especially for young, disturbed, liana‐rich sites. In light of the critical role that lianas play in the profound changes currently experienced by tropical forests, this new model provides a robust numerical tool to forecast the impact of lianas on tropical forest carbon sinks.
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spelling pubmed-68566942019-11-21 Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests di Porcia e Brugnera, Manfredo Meunier, Félicien Longo, Marcos Krishna Moorthy, Sruthi M. De Deurwaerder, Hannes Schnitzer, Stefan A. Bonal, Damien Faybishenko, Boris Verbeeck, Hans Glob Chang Biol Primary Research Articles 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(C) ha(−1) year(−1), which corresponds to a limited relative reduction of 2.6% in comparison with a reference simulation without lianas. However, this resulted in significantly reduced accumulated above‐ground biomass after 70 years of regrowth by up to 20 t(C)/ha (19% of the reference simulation). Ultimately, the simulated negative impact of lianas on the total biomass was almost completely cancelled out when the forest reached an old‐growth successional stage. Our findings suggest that lianas negatively influence the forest potential carbon sink strength, especially for young, disturbed, liana‐rich sites. In light of the critical role that lianas play in the profound changes currently experienced by tropical forests, this new model provides a robust numerical tool to forecast the impact of lianas on tropical forest carbon sinks. John Wiley and Sons Inc. 2019-09-11 2019-11 /pmc/articles/PMC6856694/ /pubmed/31310429 http://dx.doi.org/10.1111/gcb.14769 Text en © 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Primary Research Articles
di Porcia e Brugnera, Manfredo
Meunier, Félicien
Longo, Marcos
Krishna Moorthy, Sruthi M.
De Deurwaerder, Hannes
Schnitzer, Stefan A.
Bonal, Damien
Faybishenko, Boris
Verbeeck, Hans
Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
title Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
title_full Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
title_fullStr Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
title_full_unstemmed Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
title_short Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
title_sort modeling the impact of liana infestation on the demography and carbon cycle of tropical forests
topic Primary Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856694/
https://www.ncbi.nlm.nih.gov/pubmed/31310429
http://dx.doi.org/10.1111/gcb.14769
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