The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections

Abstract Earth System Models (ESMs) project that the terrestrial carbon sink will continue to grow as atmospheric CO2 increases, but this projection is uncertain due to biases in the simulated climate and how ESMs represent ecosystem processes. In particular, the strength of the CO2‐fertilization ef...

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Main Authors: Christian Seiler, Sian Kou‐Giesbrecht, Vivek K. Arora, Joe R. Melton
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-01-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2023MS003749
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author Christian Seiler
Sian Kou‐Giesbrecht
Vivek K. Arora
Joe R. Melton
author_facet Christian Seiler
Sian Kou‐Giesbrecht
Vivek K. Arora
Joe R. Melton
author_sort Christian Seiler
collection DOAJ
description Abstract Earth System Models (ESMs) project that the terrestrial carbon sink will continue to grow as atmospheric CO2 increases, but this projection is uncertain due to biases in the simulated climate and how ESMs represent ecosystem processes. In particular, the strength of the CO2‐fertilization effect, which is modulated by nutrient cycles, varies substantially across models. This study evaluates land carbon balance uncertainties for the Canadian Earth System Model (CanESM) by conducting simulations where the latest version of CanESM's land surface component is driven offline with raw and bias‐adjusted CanESM5 climate forcing data. To quantify the impact of nutrient limitation, we complete simulations where the nitrogen cycle is enabled or disabled. Results show that bias adjustment improves model performance across most ecosystem variables, primarily due to reduced biases in precipitation. Turning the nitrogen cycle on increases the global land carbon sink during the historical period (1995–2014) due to enhanced nitrogen deposition, placing it within the Global Carbon Budget uncertainty range. During the future period (2080–2099), the simulated land carbon sink increases in response to bias adjustment and decreases in response to the dynamic carbon‐nitrogen interaction, leading to a net decrease when both factors are acting together. The dominating impact of the nitrogen cycle demonstrates the importance of representing nutrient limitation in ESMs. Such efforts may produce more robust carbon balance projections in support of global climate change mitigation policies such as the 2015 Paris Agreement.
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spelling doaj.art-8d942105ef4749e39a43f0925b8d94f82024-02-22T16:54:50ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662024-01-01161n/an/a10.1029/2023MS003749The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance ProjectionsChristian Seiler0Sian Kou‐Giesbrecht1Vivek K. Arora2Joe R. Melton3Climate Processes Section Climate Research Division Environment and Climate Change Canada Victoria BC CanadaCanadian Centre for Climate Modelling and Analysis Climate Research Division Environment and Climate Change Canada Victoria BC CanadaCanadian Centre for Climate Modelling and Analysis Climate Research Division Environment and Climate Change Canada Victoria BC CanadaClimate Processes Section Climate Research Division Environment and Climate Change Canada Victoria BC CanadaAbstract Earth System Models (ESMs) project that the terrestrial carbon sink will continue to grow as atmospheric CO2 increases, but this projection is uncertain due to biases in the simulated climate and how ESMs represent ecosystem processes. In particular, the strength of the CO2‐fertilization effect, which is modulated by nutrient cycles, varies substantially across models. This study evaluates land carbon balance uncertainties for the Canadian Earth System Model (CanESM) by conducting simulations where the latest version of CanESM's land surface component is driven offline with raw and bias‐adjusted CanESM5 climate forcing data. To quantify the impact of nutrient limitation, we complete simulations where the nitrogen cycle is enabled or disabled. Results show that bias adjustment improves model performance across most ecosystem variables, primarily due to reduced biases in precipitation. Turning the nitrogen cycle on increases the global land carbon sink during the historical period (1995–2014) due to enhanced nitrogen deposition, placing it within the Global Carbon Budget uncertainty range. During the future period (2080–2099), the simulated land carbon sink increases in response to bias adjustment and decreases in response to the dynamic carbon‐nitrogen interaction, leading to a net decrease when both factors are acting together. The dominating impact of the nitrogen cycle demonstrates the importance of representing nutrient limitation in ESMs. Such efforts may produce more robust carbon balance projections in support of global climate change mitigation policies such as the 2015 Paris Agreement.https://doi.org/10.1029/2023MS003749land carbon balanceclimate changeclimate forcing biasnitrogen cycle
spellingShingle Christian Seiler
Sian Kou‐Giesbrecht
Vivek K. Arora
Joe R. Melton
The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections
Journal of Advances in Modeling Earth Systems
land carbon balance
climate change
climate forcing bias
nitrogen cycle
title The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections
title_full The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections
title_fullStr The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections
title_full_unstemmed The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections
title_short The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections
title_sort impact of climate forcing biases and the nitrogen cycle on land carbon balance projections
topic land carbon balance
climate change
climate forcing bias
nitrogen cycle
url https://doi.org/10.1029/2023MS003749
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