Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis

<p>The interaction between terrestrial carbon (C) and nitrogen (N) cycles has been incorporated into more and more land surface models. However, the scheme of C–N coupling differs greatly among models, and how these diverse representations of C–N interactions will affect C-cycle modeling re...

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Main Authors: Z. Du, E. Weng, L. Jiang, Y. Luo, J. Xia, X. Zhou
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/11/4399/2018/gmd-11-4399-2018.pdf
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spelling doaj-a4229171eb994aa8b6e1b965ad37589e2020-11-24T21:10:35ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032018-11-01114399441610.5194/gmd-11-4399-2018Carbon–nitrogen coupling under three schemes of model representation: a traceability analysisZ. Du0E. Weng1L. Jiang2Y. Luo3Y. Luo4J. Xia5J. Xia6X. Zhou7X. Zhou8Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200062, ChinaCenter for Climate Systems Research, Columbia University, NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USACenter for Ecosystem Science and Society, Northern Arizona University, AZ, USACenter for Ecosystem Science and Society, Northern Arizona University, AZ, USADepartment for Earth System Science, Tsinghua University, Beijing 100084, ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200062, ChinaForest Ecosystem Research and Observation Station in Putuo Island, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200062, ChinaZhejiang Tiantong Forest Ecosystem National Observation and Research Station, Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200062, ChinaShanghai Institute of Pollution Control and Ecological Security, 1515 North Zhongshan Rd, Shanghai 200437, China<p>The interaction between terrestrial carbon (C) and nitrogen (N) cycles has been incorporated into more and more land surface models. However, the scheme of C–N coupling differs greatly among models, and how these diverse representations of C–N interactions will affect C-cycle modeling remains unclear. In this study, we explored how the simulated ecosystem C storage capacity in the terrestrial ecosystem (TECO) model varied with three different commonly used schemes of C–N coupling. The three schemes (SM1, SM2, and SM3) have been used in three different coupled C–N models (i.e., TECO-CN, CLM 4.5, and O-CN, respectively). They differ mainly in the stoichiometry of C and N in vegetation and soils, plant N uptake strategies, downregulation of photosynthesis, and the pathways of N import. We incorporated the three C–N coupling schemes into the C-only version of the TECO model and evaluated their impacts on the C cycle with a traceability framework. Our results showed that all three of the C–N schemes caused significant reductions in steady-state C storage capacity compared with the C-only version with magnitudes of −23&thinsp;%, −30&thinsp;%, and −54&thinsp;% for SM1, SM2, and SM3, respectively. This reduced C storage capacity was mainly derived from the combined effects of decreases in net primary productivity (NPP; −29&thinsp;%, −15&thinsp;%, and −45&thinsp;%) and changes in mean C residence time (MRT; 9&thinsp;%, −17&thinsp;%, and −17&thinsp;%) for SM1, SM2, and SM3, respectively. The differences in NPP are mainly attributed to the different assumptions on plant N uptake, plant tissue C&thinsp; : &thinsp;N ratio, downregulation of photosynthesis, and biological N fixation. In comparison, the alternative representations of the plant vs. microbe competition strategy and the plant N uptake, combined with the flexible C&thinsp; : &thinsp;N ratio in vegetation and soils, led to a notable spread in MRT. These results highlight the fact that the diverse assumptions on N processes represented by different C–N coupled models could cause additional uncertainty for land surface models. Understanding their difference can help us improve the capability of models to predict future biogeochemical cycles of terrestrial ecosystems.</p>https://www.geosci-model-dev.net/11/4399/2018/gmd-11-4399-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Z. Du
E. Weng
L. Jiang
Y. Luo
Y. Luo
J. Xia
J. Xia
X. Zhou
X. Zhou
spellingShingle Z. Du
E. Weng
L. Jiang
Y. Luo
Y. Luo
J. Xia
J. Xia
X. Zhou
X. Zhou
Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
Geoscientific Model Development
author_facet Z. Du
E. Weng
L. Jiang
Y. Luo
Y. Luo
J. Xia
J. Xia
X. Zhou
X. Zhou
author_sort Z. Du
title Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
title_short Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
title_full Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
title_fullStr Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
title_full_unstemmed Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
title_sort carbon–nitrogen coupling under three schemes of model representation: a traceability analysis
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2018-11-01
description <p>The interaction between terrestrial carbon (C) and nitrogen (N) cycles has been incorporated into more and more land surface models. However, the scheme of C–N coupling differs greatly among models, and how these diverse representations of C–N interactions will affect C-cycle modeling remains unclear. In this study, we explored how the simulated ecosystem C storage capacity in the terrestrial ecosystem (TECO) model varied with three different commonly used schemes of C–N coupling. The three schemes (SM1, SM2, and SM3) have been used in three different coupled C–N models (i.e., TECO-CN, CLM 4.5, and O-CN, respectively). They differ mainly in the stoichiometry of C and N in vegetation and soils, plant N uptake strategies, downregulation of photosynthesis, and the pathways of N import. We incorporated the three C–N coupling schemes into the C-only version of the TECO model and evaluated their impacts on the C cycle with a traceability framework. Our results showed that all three of the C–N schemes caused significant reductions in steady-state C storage capacity compared with the C-only version with magnitudes of −23&thinsp;%, −30&thinsp;%, and −54&thinsp;% for SM1, SM2, and SM3, respectively. This reduced C storage capacity was mainly derived from the combined effects of decreases in net primary productivity (NPP; −29&thinsp;%, −15&thinsp;%, and −45&thinsp;%) and changes in mean C residence time (MRT; 9&thinsp;%, −17&thinsp;%, and −17&thinsp;%) for SM1, SM2, and SM3, respectively. The differences in NPP are mainly attributed to the different assumptions on plant N uptake, plant tissue C&thinsp; : &thinsp;N ratio, downregulation of photosynthesis, and biological N fixation. In comparison, the alternative representations of the plant vs. microbe competition strategy and the plant N uptake, combined with the flexible C&thinsp; : &thinsp;N ratio in vegetation and soils, led to a notable spread in MRT. These results highlight the fact that the diverse assumptions on N processes represented by different C–N coupled models could cause additional uncertainty for land surface models. Understanding their difference can help us improve the capability of models to predict future biogeochemical cycles of terrestrial ecosystems.</p>
url https://www.geosci-model-dev.net/11/4399/2018/gmd-11-4399-2018.pdf
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