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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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 |
work_keys_str_mv |
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