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Matrix Approach to Land Carbon Cycle Modeling

Luo, Yiqi and Huang, Yuanyuan and Sierra, Carlos and Sierra, Carlos A. and Xia, Jianyang and Ahlstrom, Anders and Chen, Yizhao and Hararuk, Oleksandra and Hou, Enqing and Jiang, Lifen and Liao, Cuijuan and Lu, Xingjie and Shi, Zheng and Smith, Benjamin and Tao, Feng and Wang, Ying-Ping (2022). Matrix Approach to Land Carbon Cycle Modeling. Journal of Advances in Modeling Earth Systems (Electronics). 14 :7 , e2022MS003008
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Abstract

Land ecosystems contribute to climate change mitigation by taking up approximately 30% of anthropogenically emitted carbon. However, estimates of the amount and distribution of carbon uptake across the world's ecosystems or biomes display great uncertainty. The latter hinders a full understanding of the mechanisms and drivers of land carbon uptake, and predictions of the future fate of the land carbon sink. The latter is needed as evidence to inform climate mitigation strategies such as afforestation schemes. To advance land carbon cycle modeling, we have developed a matrix approach. Land carbon cycle models use carbon balance equations to represent carbon exchanges among pools. Our approach organizes this set of equations into a single matrix equation without altering any processes of the original model. The matrix equation enables the development of a theoretical framework for understanding the general, transient behavior of the land carbon cycle. While carbon input and residence time are used to quantify carbon storage capacity at steady state, a third quantity, carbon storage potential, integrates fluxes with time to define dynamic disequilibrium of the carbon cycle under global change. The matrix approach can help address critical contemporary issues in modeling, including pinpointing sources of model uncertainty and accelerating spin-up of land carbon cycle models by tens of times. The accelerated spin-up liberates models from the computational burden that hinders comprehensive parameter sensitivity analysis and assimilation of observational data to improve model accuracy. Such computational efficiency offered by the matrix approach enables substantial improvement of model predictions using ever-increasing data availability. Overall, the matrix approach offers a step change forward for understanding and modeling the land carbon cycle.

Authors/Creators:Luo, Yiqi and Huang, Yuanyuan and Sierra, Carlos and Sierra, Carlos A. and Xia, Jianyang and Ahlstrom, Anders and Chen, Yizhao and Hararuk, Oleksandra and Hou, Enqing and Jiang, Lifen and Liao, Cuijuan and Lu, Xingjie and Shi, Zheng and Smith, Benjamin and Tao, Feng and Wang, Ying-Ping
Title:Matrix Approach to Land Carbon Cycle Modeling
Series Name/Journal:Journal of Advances in Modeling Earth Systems (Electronics)
Year of publishing :2022
Volume:14
Number:7
Article number:e2022MS003008
Number of Pages:15
Publisher:AMER GEOPHYSICAL UNION
Language:English
Publication Type:Article Review/Survey
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Other Earth and Related Environmental Sciences
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Climate Research
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Meteorology and Atmospheric Sciences
Keywords:biogeochemistry, carbon cycle, dynamical equation, terrestrial ecosystems, uncertainty analysis
URN:NBN:urn:nbn:se:slu:epsilon-p-118352
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-118352
Additional ID:
Type of IDID
DOI10.1029/2022MS003008
Web of Science (WoS)000822805900001
ID Code:28449
Faculty:S - Faculty of Forest Sciences
Department:(NL, NJ) > Dept. of Ecology
(S) > Dept. of Ecology
Deposited By: SLUpub Connector
Deposited On:16 Aug 2022 09:26
Metadata Last Modified:16 Aug 2022 09:31

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