Direct and indirect effects of climatic variations on the interannual variability in net ecosystem exchange across terrestrial ecosystems
Abstract
Our study indicates that climatic variables not only directly affect the interannual variability (IAV) in net ecosystem exchange of CO2 (NEE) but also indirectly drive it by changing the physiological parameters. Identifying these direct and indirect paths can reveal the underlying mechanisms of carbon (C) dynamics. In this study, we applied a path analysis using flux data from 65 sites to quantify the direct and indirect climatic effects on IAV in NEE and to evaluate the potential relationships among the climatic variables and physiological parameters that represent physiology and phenology of ecosystems. We found that the maximum photosynthetic rate was the most important factor for the IAV in gross primary productivity (GPP), which was mainly induced by the variation in vapour pressure deficit. For ecosystem respiration (RE), the most important drivers were GPP and the reference respiratory rate. The biome type regulated the direct and indirect paths, with distinctive differences between forests and non-forests, evergreen needleleaf forests and deciduous broadleaf forests, and between grasslands and croplands. Different paths were also found among wet, moist and dry ecosystems. However, the climatic variables can only partly explain the IAV in physiological parameters, suggesting that the latter may also result from other bioticmore »
- Authors:
-
more »
- East China Normal Univ., Shangai (China); Fudan Univ., Shanghai (China)
- East China Normal Univ., Shanghai (China)
- Univ. of Oklahoma, Norman, OK (United States)
- Fudan Univ., Shanghai (China)
- Finnish Meteorological Institute, Helsinki (Finland)
- Univ. of Nebraska-Lincoln, Lincoln, NE (United States)
- Univ. of Colorado at Boulder, Boulder, CO (United States)
- Univ. of Florida, Gainesville, FL (United States)
- Michigan State Univ., East Lansing, MI (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Chinese Academy of Sciences, Liaoning (China)
- Chinese Academy of Sciences (CAS), Beijing (China)
- Northern Arizona Univ., Flagstaff, AZ (United States)
- Chinese Academy of Sciences, Qinghai (China)
- Szent Istvan Univ., Godollo (Hungary)
- San Diego State Univ., San Diego, CA (United States)
- Russian Academy of Sciences, Moscow (Russia)
- Chinese Academy of Sciences, Guangzhou (China)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1474905
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Tellus. Series B, Chemical and Physical Meteorology (Online)
- Additional Journal Information:
- Journal Name: Tellus. Series B, Chemical and Physical Meteorology (Online); Journal Volume: 68; Journal Issue: 1; Journal ID: ISSN 1600-0889
- Publisher:
- International Meteorological Institute in Stockholm
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; net ecosystem exchange; interannual variability; climatic variations; physiological parameters; direct and indirect effects; relative importance
Citation Formats
Shao, Junjiong, Zhou, Xuhui, Luo, Yiqi, Li, Bo, Aurela, Mika, Billesbach, David, Blanken, Peter D., Bracho, Rosvel, Chen, Jiquan, Fischer, Marc, Fu, Yuling, Gu, Lianhong, Han, Shijie, He, Yongtao, Kolb, Thomas, Li, Yingnian, Nagy, Zoltan, Niu, Shuli, Oechel, Walter C., Pinter, Krisztina, Shi, Peili, Suyker, Andrew, Torn, Margaret, Varlagin, Andrej, Wang, Huimin, Yan, Junhua, Yu, Guirui, and Zhang, Junhui. Direct and indirect effects of climatic variations on the interannual variability in net ecosystem exchange across terrestrial ecosystems. United States: N. p., 2016.
Web. doi:10.3402/tellusb.v68.30575.
Shao, Junjiong, Zhou, Xuhui, Luo, Yiqi, Li, Bo, Aurela, Mika, Billesbach, David, Blanken, Peter D., Bracho, Rosvel, Chen, Jiquan, Fischer, Marc, Fu, Yuling, Gu, Lianhong, Han, Shijie, He, Yongtao, Kolb, Thomas, Li, Yingnian, Nagy, Zoltan, Niu, Shuli, Oechel, Walter C., Pinter, Krisztina, Shi, Peili, Suyker, Andrew, Torn, Margaret, Varlagin, Andrej, Wang, Huimin, Yan, Junhua, Yu, Guirui, & Zhang, Junhui. Direct and indirect effects of climatic variations on the interannual variability in net ecosystem exchange across terrestrial ecosystems. United States. https://doi.org/10.3402/tellusb.v68.30575
Shao, Junjiong, Zhou, Xuhui, Luo, Yiqi, Li, Bo, Aurela, Mika, Billesbach, David, Blanken, Peter D., Bracho, Rosvel, Chen, Jiquan, Fischer, Marc, Fu, Yuling, Gu, Lianhong, Han, Shijie, He, Yongtao, Kolb, Thomas, Li, Yingnian, Nagy, Zoltan, Niu, Shuli, Oechel, Walter C., Pinter, Krisztina, Shi, Peili, Suyker, Andrew, Torn, Margaret, Varlagin, Andrej, Wang, Huimin, Yan, Junhua, Yu, Guirui, and Zhang, Junhui. Tue .
"Direct and indirect effects of climatic variations on the interannual variability in net ecosystem exchange across terrestrial ecosystems". United States. https://doi.org/10.3402/tellusb.v68.30575. https://www.osti.gov/servlets/purl/1474905.
@article{osti_1474905,
title = {Direct and indirect effects of climatic variations on the interannual variability in net ecosystem exchange across terrestrial ecosystems},
author = {Shao, Junjiong and Zhou, Xuhui and Luo, Yiqi and Li, Bo and Aurela, Mika and Billesbach, David and Blanken, Peter D. and Bracho, Rosvel and Chen, Jiquan and Fischer, Marc and Fu, Yuling and Gu, Lianhong and Han, Shijie and He, Yongtao and Kolb, Thomas and Li, Yingnian and Nagy, Zoltan and Niu, Shuli and Oechel, Walter C. and Pinter, Krisztina and Shi, Peili and Suyker, Andrew and Torn, Margaret and Varlagin, Andrej and Wang, Huimin and Yan, Junhua and Yu, Guirui and Zhang, Junhui},
abstractNote = {Our study indicates that climatic variables not only directly affect the interannual variability (IAV) in net ecosystem exchange of CO2 (NEE) but also indirectly drive it by changing the physiological parameters. Identifying these direct and indirect paths can reveal the underlying mechanisms of carbon (C) dynamics. In this study, we applied a path analysis using flux data from 65 sites to quantify the direct and indirect climatic effects on IAV in NEE and to evaluate the potential relationships among the climatic variables and physiological parameters that represent physiology and phenology of ecosystems. We found that the maximum photosynthetic rate was the most important factor for the IAV in gross primary productivity (GPP), which was mainly induced by the variation in vapour pressure deficit. For ecosystem respiration (RE), the most important drivers were GPP and the reference respiratory rate. The biome type regulated the direct and indirect paths, with distinctive differences between forests and non-forests, evergreen needleleaf forests and deciduous broadleaf forests, and between grasslands and croplands. Different paths were also found among wet, moist and dry ecosystems. However, the climatic variables can only partly explain the IAV in physiological parameters, suggesting that the latter may also result from other biotic and disturbance factors. In addition, the climatic variables related to NEE were not necessarily the same as those related to GPP and RE, indicating the emerging difficulty encountered when studying the IAV in NEE. Overall, our results highlight the contribution of certain physiological parameters to the IAV in C fluxes and the importance of biome type and multi-year water conditions, which should receive more attention in future experimental and modelling research.},
doi = {10.3402/tellusb.v68.30575},
journal = {Tellus. Series B, Chemical and Physical Meteorology (Online)},
number = 1,
volume = 68,
place = {United States},
year = {Tue Aug 02 00:00:00 EDT 2016},
month = {Tue Aug 02 00:00:00 EDT 2016}
}
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Works referencing / citing this record:
Applications of structural equation modeling (SEM) in ecological studies: an updated review
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- Ecological Processes, Vol. 5, Issue 1
Applications of structural equation modeling (SEM) in ecological studies: an updated review
journal, November 2016
- Fan, Yi; Chen, Jiquan; Shirkey, Gabriela
- Ecological Processes, Vol. 5, Issue 1