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Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation

Excessive growth of non-woody plants and shrubs on degraded lands can strongly hamper tree growth and thus secondary forest succession. A common method to accelerate succession, called liberation, involves opening up the vegetation canopy around young target trees. This can increase growth of target...

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Autores principales: van Kuijk, Marijke, Anten, Niels P. R., Oomen, Roelof J., Schieving, Feike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4102908/
https://www.ncbi.nlm.nih.gov/pubmed/25101100
http://dx.doi.org/10.3389/fpls.2014.00345
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author van Kuijk, Marijke
Anten, Niels P. R.
Oomen, Roelof J.
Schieving, Feike
author_facet van Kuijk, Marijke
Anten, Niels P. R.
Oomen, Roelof J.
Schieving, Feike
author_sort van Kuijk, Marijke
collection PubMed
description Excessive growth of non-woody plants and shrubs on degraded lands can strongly hamper tree growth and thus secondary forest succession. A common method to accelerate succession, called liberation, involves opening up the vegetation canopy around young target trees. This can increase growth of target trees by reducing competition for light with neighboring plants. However, liberation has not always had the desired effect, likely due to differences in light requirement between tree species. Here we present a 3D-model, which calculates photosynthetic rate of individual trees in a vegetation stand. It enables us to examine how stature, crown structure, and physiological traits of target trees and characteristics of the surrounding vegetation together determine effects of light on tree growth. The model was applied to a liberation experiment conducted with three pioneer species in a young secondary forest in Vietnam. Species responded differently to the treatment depending on their height, crown structure and their shade-tolerance level. Model simulations revealed practical thresholds over which the tree growth response is heavily influenced by the height and density of surrounding vegetation and gap radius. There were strong correlations between calculated photosynthetic rates and observed growth: the model was well able to predict growth of trees in young forests and the effects of liberation there upon. Thus, our model serves as a useful tool to analyze light competition between young trees and surrounding vegetation and may help assess the potential effect of tree liberation.
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spelling pubmed-41029082014-08-06 Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation van Kuijk, Marijke Anten, Niels P. R. Oomen, Roelof J. Schieving, Feike Front Plant Sci Plant Science Excessive growth of non-woody plants and shrubs on degraded lands can strongly hamper tree growth and thus secondary forest succession. A common method to accelerate succession, called liberation, involves opening up the vegetation canopy around young target trees. This can increase growth of target trees by reducing competition for light with neighboring plants. However, liberation has not always had the desired effect, likely due to differences in light requirement between tree species. Here we present a 3D-model, which calculates photosynthetic rate of individual trees in a vegetation stand. It enables us to examine how stature, crown structure, and physiological traits of target trees and characteristics of the surrounding vegetation together determine effects of light on tree growth. The model was applied to a liberation experiment conducted with three pioneer species in a young secondary forest in Vietnam. Species responded differently to the treatment depending on their height, crown structure and their shade-tolerance level. Model simulations revealed practical thresholds over which the tree growth response is heavily influenced by the height and density of surrounding vegetation and gap radius. There were strong correlations between calculated photosynthetic rates and observed growth: the model was well able to predict growth of trees in young forests and the effects of liberation there upon. Thus, our model serves as a useful tool to analyze light competition between young trees and surrounding vegetation and may help assess the potential effect of tree liberation. Frontiers Media S.A. 2014-07-18 /pmc/articles/PMC4102908/ /pubmed/25101100 http://dx.doi.org/10.3389/fpls.2014.00345 Text en Copyright © 2014 van Kuijk, Anten, Oomen and Schieving. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
van Kuijk, Marijke
Anten, Niels P. R.
Oomen, Roelof J.
Schieving, Feike
Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
title Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
title_full Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
title_fullStr Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
title_full_unstemmed Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
title_short Stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
title_sort stimulating seedling growth in early stages of secondary forest succession: a modeling approach to guide tree liberation
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4102908/
https://www.ncbi.nlm.nih.gov/pubmed/25101100
http://dx.doi.org/10.3389/fpls.2014.00345
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