TY - JOUR
T1 - Transient Traceability Analysis of Land Carbon Storage Dynamics
T2 - Procedures and Its Application to Two Forest Ecosystems
AU - Jiang, Lifen
AU - Shi, Zheng
AU - Xia, Jianyang
AU - Liang, Junyi
AU - Lu, Xingjie
AU - Wang, Ying
AU - Luo, Yiqi
N1 - Funding Information:
The data used in this study can be obtained at Yiqi Luo’s lab website (http://www2.nau.edu/luo-lab/ download) or by contacting the corresponding author Yiqi Luo (Yiqi. Luo@nau.edu). We thank Manoj KC for his help with forcing data from CLM4.5. This work was partially done through the working group, Nonautonomous Systems and Terrestrial Carbon Cycle, at the National Institute for Mathematical and Biological Synthesis, an institute sponsored by the National Science Foundation, the US Department of Homeland Security, and the US Department of Agriculture through NSF award EF-0832858, with additional support from the University of Tennessee, Knoxville. Research in Yiqi Luo EcoLab was financially supported by U.S. Department of Energy grants DE-SC0008270 and DE-SC0014085, and U.S. National Science Foundation (NSF) grants EF 1137293 and OIA-1301789. The work of Ying Wang was partially supported by the NSF grant DMS- 1720489. All authors declare no conflict of interest on this work.
Publisher Copyright:
© 2017. The Authors.
PY - 2017/12
Y1 - 2017/12
N2 - 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. This framework has potential to reveal mechanisms behind transient C storage in response to various global change factors. It can also identify sources of uncertainties in predicted transient C storage across models and can therefore be useful for model intercomparison.
AB - 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. This framework has potential to reveal mechanisms behind transient C storage in response to various global change factors. It can also identify sources of uncertainties in predicted transient C storage across models and can therefore be useful for model intercomparison.
KW - carbon storage capacity
KW - carbon storage potential
KW - model intercomparison
KW - residence time
KW - traceability analysis
KW - transient carbon dynamics
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U2 - 10.1002/2017MS001004
DO - 10.1002/2017MS001004
M3 - Article
AN - SCOPUS:85037364434
SN - 1942-2466
VL - 9
SP - 2822
EP - 2835
JO - Journal of Advances in Modeling Earth Systems
JF - Journal of Advances in Modeling Earth Systems
IS - 8
ER -