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Title: Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems

Uptake of anthropogenically emitted carbon (C) dioxide by terrestrial ecosystem is critical for determining future climate. However, Earth system models project large uncertainties in future C storage. To help identify sources of uncertainties in model predictions, this study develops a transient traceability framework to trace components of C storage dynamics. Transient C storage (X) can be decomposed into two components, C storage capacity (X c) and C storage potential (X p). X c is the maximum C amount that an ecosystem can potentially store and Xp represents the internal capacity of an ecosystem to equilibrate C input and output for a network of pools. X c is codetermined by net primary production (NPP) and residence time (τ N), with the latter being determined by allocation coefficients, transfer coefficients, environmental scalar, and exit rate. X p is the product of redistribution matrix (τ ch) and net ecosystem exchange. We applied this framework to two contrasting ecosystems, Duke Forest and Harvard Forest with an ecosystem model. This framework helps identify the mechanisms underlying the responses of carbon cycling in the two forests to climate change. The temporal trajectories of X are similar between the two ecosystems. Using this framework, we found thatmore » different mechanisms lead to a similar trajectory between the two ecosystems. Furthermore, this framework has potential to reveal mechanisms behind transient C storage in response to various global change factors. Furthermore, tt can also identify sources of uncertainties in predicted transient C storage across models and can therefore be useful for model intercomparison.« less
Authors:
ORCiD logo [1] ; ORCiD logo [2] ;  [3] ; ORCiD logo [4] ;  [1] ;  [2] ;  [5]
  1. Northern Arizona Univ., Flagstaff, AZ (United States)
  2. Univ. of Oklahoma, Norman, OK (United States)
  3. East China Normal Univ., Shanghai (China)
  4. Univ. of Oklahoma, Norman, OK (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Northern Arizona Univ., Flagstaff, AZ (United States); Tsinghua Univ., Beijing (China)
Publication Date:
Grant/Contract Number:
AC05-00OR22725; SC0008270; SC0014085; EF 1137293; OIA-1301789
Type:
Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Volume: 9; Journal Issue: 8; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; carbon storage capacity; carbon storage potential; model intercomparison; residence time; traceability analysis; transient carbon dynamics
OSTI Identifier:
1411262
Alternate Identifier(s):
OSTI ID: 1411263; OSTI ID: 1468037

Jiang, Lifen, Shi, Zheng, Xia, Jianyang, Liang, Junyi, Lu, Xingjie, Wang, Ying, and Luo, Yiqi. Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems. United States: N. p., Web. doi:10.1002/2017MS001004.
Jiang, Lifen, Shi, Zheng, Xia, Jianyang, Liang, Junyi, Lu, Xingjie, Wang, Ying, & Luo, Yiqi. Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems. United States. doi:10.1002/2017MS001004.
Jiang, Lifen, Shi, Zheng, Xia, Jianyang, Liang, Junyi, Lu, Xingjie, Wang, Ying, and Luo, Yiqi. 2017. "Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems". United States. doi:10.1002/2017MS001004.
@article{osti_1411262,
title = {Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems},
author = {Jiang, Lifen and Shi, Zheng and Xia, Jianyang and Liang, Junyi and Lu, Xingjie and Wang, Ying and Luo, Yiqi},
abstractNote = {Uptake of anthropogenically emitted carbon (C) dioxide by terrestrial ecosystem is critical for determining future climate. However, Earth system models project large uncertainties in future C storage. To help identify sources of uncertainties in model predictions, this study develops a transient traceability framework to trace components of C storage dynamics. Transient C storage (X) can be decomposed into two components, C storage capacity (Xc) and C storage potential (Xp). Xc is the maximum C amount that an ecosystem can potentially store and Xp represents the internal capacity of an ecosystem to equilibrate C input and output for a network of pools. Xc is codetermined by net primary production (NPP) and residence time (τN), with the latter being determined by allocation coefficients, transfer coefficients, environmental scalar, and exit rate. Xp is the product of redistribution matrix (τch) and net ecosystem exchange. We applied this framework to two contrasting ecosystems, Duke Forest and Harvard Forest with an ecosystem model. This framework helps identify the mechanisms underlying the responses of carbon cycling in the two forests to climate change. The temporal trajectories of X are similar between the two ecosystems. Using this framework, we found that different mechanisms lead to a similar trajectory between the two ecosystems. Furthermore, this framework has potential to reveal mechanisms behind transient C storage in response to various global change factors. Furthermore, tt can also identify sources of uncertainties in predicted transient C storage across models and can therefore be useful for model intercomparison.},
doi = {10.1002/2017MS001004},
journal = {Journal of Advances in Modeling Earth Systems},
number = 8,
volume = 9,
place = {United States},
year = {2017},
month = {11}
}