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

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 C ha -1 year -1, which corresponds to a limited relative reduction of 2.6% in comparison with a reference simulation without lianas. However, thismore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [1]
  1. Ghent Univ., Ghent (Belgium)
  2. Ghent Univ., Ghent (Belgium); Boston Univ., MA (United States)
  3. Embrapa Agricultural Informatics, Campinas (Brazil); California Inst. of Technology (CalTech), Pasadena, CA (United States)
  4. Smithsonian Tropical Research Inst., Balboa, Ancon (Panama); Marquette Univ., Milwaukee, WI (United States)
  5. Univ. de Lorraine, Nancy (France)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); European Research Council (ERC)
OSTI Identifier:
1582639
Grant/Contract Number:  
[AC02-05CH11231; 637643]
Resource Type:
Accepted Manuscript
Journal Name:
Global Change Biology
Additional Journal Information:
[ Journal Volume: 25; Journal Issue: 11]; Journal ID: ISSN 1354-1013
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; carbon dynamics; dynamic global vegetation model; ecology; lianas; plant functional type; tropical forest

Citation Formats

Porcia e Brugnera, Manfredo di, Meunier, Félicien, Longo, Marcos, Krishna Moorthy, Sruthi M., De Deurwaerder, Hannes, Schnitzer, Stefan A., Bonal, Damien, Faybishenko, Boris, and Verbeeck, Hans. Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests. United States: N. p., 2019. Web. doi:10.1111/gcb.14769.
Porcia e Brugnera, Manfredo di, 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. United States. doi:10.1111/gcb.14769.
Porcia e Brugnera, Manfredo di, Meunier, Félicien, Longo, Marcos, Krishna Moorthy, Sruthi M., De Deurwaerder, Hannes, Schnitzer, Stefan A., Bonal, Damien, Faybishenko, Boris, and Verbeeck, Hans. Tue . "Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests". United States. doi:10.1111/gcb.14769. https://www.osti.gov/servlets/purl/1582639.
@article{osti_1582639,
title = {Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests},
author = {Porcia e Brugnera, Manfredo di and Meunier, Félicien and Longo, Marcos and Krishna Moorthy, Sruthi M. and De Deurwaerder, Hannes and Schnitzer, Stefan A. and Bonal, Damien and Faybishenko, Boris and Verbeeck, Hans},
abstractNote = {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 tC 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 tC/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.},
doi = {10.1111/gcb.14769},
journal = {Global Change Biology},
number = [11],
volume = [25],
place = {United States},
year = {2019},
month = {7}
}

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