Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model

<p>Competition is a major driver of carbon allocation to different plant tissues (e.g., wood, leaves, fine roots), and allocation, in turn, shapes vegetation structure. To improve their modeling of the terrestrial carbon cycle, many Earth system models now incorporate vegetation demographic mo...

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Main Authors: E. Weng, R. Dybzinski, C. E. Farrior, S. W. Pacala
Format: Article
Language:English
Published: Copernicus Publications 2019-12-01
Series:Biogeosciences
Online Access:https://www.biogeosciences.net/16/4577/2019/bg-16-4577-2019.pdf
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spelling doaj-3931e849e88b46c38e4f756799615bb22020-11-25T01:50:12ZengCopernicus PublicationsBiogeosciences1726-41701726-41892019-12-01164577459910.5194/bg-16-4577-2019Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic modelE. Weng0E. Weng1R. Dybzinski2C. E. Farrior3S. W. Pacala4Center for Climate Systems Research, Columbia University, New York, NY 10025, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USAInstitute of Environmental Sustainability, Loyola University Chicago, Chicago, IL 60660, USADepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USADepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA<p>Competition is a major driver of carbon allocation to different plant tissues (e.g., wood, leaves, fine roots), and allocation, in turn, shapes vegetation structure. To improve their modeling of the terrestrial carbon cycle, many Earth system models now incorporate vegetation demographic models (VDMs) that explicitly simulate the processes of individual-based competition for light and soil resources. Here, in order to understand how these competition processes affect predictions of the terrestrial carbon cycle, we simulate forest responses to elevated atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentration [<span class="inline-formula">CO<sub>2</sub></span>] along a nitrogen availability gradient, using a VDM that allows us to compare fixed allocation strategies vs. competitively optimal allocation strategies. Our results show that competitive and fixed strategies predict opposite fractional allocation to fine roots and wood, though they predict similar changes in total net primary production (NPP) along the nitrogen gradient. The competitively optimal allocation strategy predicts decreasing fine root and increasing wood allocation with increasing nitrogen, whereas the fixed strategy predicts the opposite. Although simulated plant biomass at equilibrium increases with nitrogen due to increases in photosynthesis for both allocation strategies, the increase in biomass with nitrogen is much steeper for competitively optimal allocation due to its increased allocation to wood. The qualitatively opposite fractional allocation to fine roots and wood of the two strategies also impacts the effects of elevated [<span class="inline-formula">CO<sub>2</sub></span>] on plant biomass. Whereas the fixed allocation strategy predicts an increase in plant biomass under elevated [<span class="inline-formula">CO<sub>2</sub></span>] that is approximately independent of nitrogen availability, competition leads to higher plant biomass response to elevated [<span class="inline-formula">CO<sub>2</sub></span>] with increasing nitrogen availability. Our results indicate that the VDMs that explicitly include the effects of competition for light and soil resources on allocation may generate significantly different ecosystem-level predictions of carbon storage than those that use fixed strategies.</p>https://www.biogeosciences.net/16/4577/2019/bg-16-4577-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. Weng
E. Weng
R. Dybzinski
C. E. Farrior
S. W. Pacala
spellingShingle E. Weng
E. Weng
R. Dybzinski
C. E. Farrior
S. W. Pacala
Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
Biogeosciences
author_facet E. Weng
E. Weng
R. Dybzinski
C. E. Farrior
S. W. Pacala
author_sort E. Weng
title Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
title_short Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
title_full Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
title_fullStr Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
title_full_unstemmed Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
title_sort competition alters predicted forest carbon cycle responses to nitrogen availability and elevated co<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model
publisher Copernicus Publications
series Biogeosciences
issn 1726-4170
1726-4189
publishDate 2019-12-01
description <p>Competition is a major driver of carbon allocation to different plant tissues (e.g., wood, leaves, fine roots), and allocation, in turn, shapes vegetation structure. To improve their modeling of the terrestrial carbon cycle, many Earth system models now incorporate vegetation demographic models (VDMs) that explicitly simulate the processes of individual-based competition for light and soil resources. Here, in order to understand how these competition processes affect predictions of the terrestrial carbon cycle, we simulate forest responses to elevated atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentration [<span class="inline-formula">CO<sub>2</sub></span>] along a nitrogen availability gradient, using a VDM that allows us to compare fixed allocation strategies vs. competitively optimal allocation strategies. Our results show that competitive and fixed strategies predict opposite fractional allocation to fine roots and wood, though they predict similar changes in total net primary production (NPP) along the nitrogen gradient. The competitively optimal allocation strategy predicts decreasing fine root and increasing wood allocation with increasing nitrogen, whereas the fixed strategy predicts the opposite. Although simulated plant biomass at equilibrium increases with nitrogen due to increases in photosynthesis for both allocation strategies, the increase in biomass with nitrogen is much steeper for competitively optimal allocation due to its increased allocation to wood. The qualitatively opposite fractional allocation to fine roots and wood of the two strategies also impacts the effects of elevated [<span class="inline-formula">CO<sub>2</sub></span>] on plant biomass. Whereas the fixed allocation strategy predicts an increase in plant biomass under elevated [<span class="inline-formula">CO<sub>2</sub></span>] that is approximately independent of nitrogen availability, competition leads to higher plant biomass response to elevated [<span class="inline-formula">CO<sub>2</sub></span>] with increasing nitrogen availability. Our results indicate that the VDMs that explicitly include the effects of competition for light and soil resources on allocation may generate significantly different ecosystem-level predictions of carbon storage than those that use fixed strategies.</p>
url https://www.biogeosciences.net/16/4577/2019/bg-16-4577-2019.pdf
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