Abstract
Soil organic carbon (SOC) is the largest carbon pool in the terrestrial carbon cycle, which is closely linked to climate change and global warming feedbacks. Based on proxy observation data and outputs from the fifth phase of the Coupled Model Inter-comparison Project (CMIP5), we analyzed quantitatively the spatial distribution and temporal change for SOC using boosted regression trees (BRT) over the Tibetan Plateau (TP). The ensemble proxy observation SOC stock data indicated a decreasing spatial distribution from southeast to northwest over the TP. We used data from ten CMIP5 earth system models (ESMs) for SOC, which exhibited differences. However, the CMIP5 multi-model ensemble (MME) result presented a similar spatial distribution pattern to the ensemble proxy observation SOC, while SOC storage and turnover times from the CMIP5 MME model were less than the ensemble proxy observation. The BRT results indicated that air temperature (Ta) accounted for 44.81% of the relative contribution and was the most influential variable on MME SOC. This was followed by net primary production (NPP), with a 19.09% relative contribution. The relative influence of the top 10 cm soil temperature, total soil water, and precipitation on MME SOC was 13.55%, 12.68%, and 9.87%, respectively. Using the BRT method to determine the spatial distribution of relative contribution of SOC for these five variables demonstrated that Ta was mainly higher over the central and northwestern regions of the TP, and NPP was higher over the western central regions and along the plateau’s eastern edge. The statistical frequency of maximum relative contribution to SOC for the five variables indicated that the relative contribution of NPP covered the largest area, with 32% of the total grid numbers, followed by Ta, with 25%.
Similar content being viewed by others
References
Adhikari K, Owens PR, Libohova Z, Miller DM, Wills SA, Nemecek J (2019) Assessing soil organic carbon stock of Wisconsin, USA and its fate under future land use and climate change. Sci Total Environ 667:833–845
Amundson R (2001) The carbon budget in soils. Annu Rev Earth Planet Sci 29(1):535–562
Bradford MA, Wieder WR, Bonan GB, Fierer N, Raymond PA, Crowther TW (2016) Managing uncertainty in soil carbon feedbacks to climate change. Nat Clim Chang 6(8):751–758
Burke IC, Yonker CM, Parton WJ, Cole CV, Flach K, Schimel DS (1989) Texture, climate, and cultivation effects on soil organic matter content in US grassland soils. Soil Sci Soc Am J 53(3):800–805
Carvalhais N, Forkel M, Khomik M et al (2014) Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature 514(7521):213
Chang Y, Lyu S, Luo S, Li Z, Fang X, Chen B, Li R, Chen S (2018) Estimation of permafrost on the Tibetan Plateau under current and future climate conditions using the CMIP5 data. Int J Climatol 38(15):5659–5676
Cramer W, Kicklighter DW, Bondeau A, Iii BM, Churkina G, Nemry B, Ruimy A, Schloss AL, Intercomparison TEPOFTEP (1999) Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Glob Chang Biol 5(S1):1–15
Dan L, Jinjun J (2007) The surface energy, water, carbon flux and their intercorrelated seasonality in a global climate-vegetation coupled model. Tellus Ser B Chem Phys Meteorol 59(3):425–438
Ding J, Li F, Yang G, Chen L, Zhang B, Liu L, Fang K, Qin S, Chen Y, Peng Y, Ji C, He H, Smith P, Yang Y (2016) The permafrost carbon inventory on the Tibetan Plateau: a new evaluation using deep sediment cores. Glob Chang Biol 22(8):2688–2701
Ding J, Wang T, Piao S et al (2019) The paleoclimatic footprint in the soil carbon stock of the Tibetan permafrost region. Nat Commun 10(1):1–9
Duan A, Wu G (2005) Role of the Tibetan Plateau thermal forcing in the summer climate patterns over subtropical Asia. Clim Dyn 24(7-8):793–807
Duan A, Wu G, Liu Y, Ma Y, Zhao P (2012) Weather and climate effects of the Tibetan Plateau. Adv Atmos Sci 29(5):978–992
Duan A, Hu J, Xiao Z (2013) The Tibetan Plateau summer monsoon in the CMIP5 simulations. J Clim 26(19):7747–7766
Editorial Board of the Vegetation Atlas of China, Chinese Academy of Sciences (2001) Vegetation atlas of China. 1:1,000,000. Beijing: Science Press. (in Chinese)
Elith J, Leathwick JR, Hastie T (2008) A working guide to boosted regression trees. J Anim Ecol 77(4):802–813
Group, G.S.D.T (2000) Global gridded surfaces of selected soil characteristics (IGBP-DIS). ORNL DAAC, Oak Ridge
Hararuk O, Xia J, Luo Y (2014) Evaluation and improvement of a global land model against soil carbon data using a Bayesian Markov chain Monte Carlo method. J Geophys Res Biogeosci 119(3):403–417
Hiederer R, Köchy M (2011) Global soil organic carbon estimates and the harmonized world soil database. EUR 79(25225):10.2788
Jin L, Ganopolski A, Chen F, Claussen M, Wang H (2005) Impacts of snow and glaciers over Tibetan Plateau on Holocene climate change: sensitivity experiments with a coupled model of intermediate complexity. Geophys Res Lett 32(17)
Jobbágy EG, Jackson RB (2000) The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol Appl 10(2):423–436
Koven CD, Lawrence DM, Riley WJ (2015) Permafrost carbon− climate feedback is sensitive to deep soil carbon decomposability but not deep soil nitrogen dynamics. Proc Natl Acad Sci 112(12):3752–3757
Lal R (2004) Soil carbon sequestration impacts on global climate change and food security. Science 304(5677):1623–1627
Li S, Lü S, Gao Y, Ao Y (2015a) The change of climate and terrestrial carbon cycle over Tibetan Plateau in CMIP5 models. Int J Climatol 35(14):4359–4369
Li S, Lü S, Zhang Y, Liu Y, Gao Y, Ao Y (2015b) The change of global terrestrial ecosystem net primary productivity (NPP) and its response to climate change in CMIP5. Theor Appl Climatol 121(1-2):319–335
Liu S, Sun Y, Dong Y et al (2019) The spatio-temporal patterns of the topsoil organic carbon density and its influencing factors based on different estimation models in the grassland of Qinghai-Tibet Plateau. PLoS ONE 14(12):1–21
Luo Z, Feng W, Luo Y, Baldock J, Wang E (2017) Soil organic carbon dynamics jointly controlled by climate, carbon inputs, soil properties and soil carbon fractions. Glob Chang Biol 23(10):4430–4439
McGuire KL, Treseder KK (2010) Microbial communities and their relevance for ecosystem models: decomposition as a case study. Soil Biol Biochem 42(4):529–535
Meng X, Lyu S, Zhang T, Zhao L, Li Z, Han B, Li S, Ma D, Chen H, Ao Y, Luo S, Shen Y, Guo J, Wen L (2018) Simulated cold bias being improved by using MODIS time-varying albedo in the Tibetan Plateau in WRF model. Environ Res Lett 13(4):044028
Mu C, Zhang T, Wu Q, Peng X, Cao B, Zhang X, Cao B, Cheng G (2015) Organic carbon pool in permafrost regions on the Qinghai-Xizang (Tibetan) Plateau. Cryosphere Discuss 9(5):479–486
Piao S, Ciais P, Huang Y et al (2010) The impacts of climate change on water resources and agriculture in China. Nature 467(7311):43
Qiu J (2008) China: the third pole. Nat News 454(7203):393–396
Raich JW, Schlesinger WH (1992) The global carbon dioxide flux in soil respiration and its relationship to vegetation and climate. Tellus B 44(2):81–99
Ran Y, Li X, Cheng G, Zhang T, Wu Q, Jin H, Jin R (2012) Distribution of permafrost in China: an overview of existing permafrost maps. Permafr Periglac Process 23(4):322–333
Schuur EA, Vogel JG, Crummer KG et al (2009) The effect of permafrost thaw on old carbon release and net carbon exchange from tundra. Nature 459(7246):556
Shi Z, Crowell S, Luo Y, Moore B III (2018) Model structures amplify uncertainty in predicted soil carbon responses to climate change. Nat Commun 9(1):2171
Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philos Trans R Soc A Math Phys Eng Sci 365(1857):2053–2075
Todd-Brown K, Randerson JT, Post WM et al. (2013) Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations. Biogeosciences 10:1717–1736
Wieder WR, Boehnert J, Bonan GB et al. (2014) Regridded harmonized world soil database v1. 2. Data set, 2014, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA
Wu G, Zhang Y (1998) Tibetan Plateau forcing and the timing of the monsoon onset over South Asia and the South China Sea. Mon Weather Rev 126(4):913–927
Wu X, Zhao L, Chen M, Fang H, Yue G, Chen J, Pang Q, Wang Z, Ding Y (2012) Soil organic carbon and its relationship to vegetation communities and soil properties in permafrost areas of the central western Qinghai-Tibet plateau, china. Permafr Periglac Process 23(2):162–169
Wu X, Zhao L, Fang H, Zhao Y, Smoak JM, Pang Q, Ding Y (2016) Environmental controls on soil organic carbon and nitrogen stocks in the high-altitude arid western Qinghai-Tibetan Plateau permafrost region. J Geophys Res Biogeosci 121(1):176–187
Wu X, Fang H, Zhao Y, Smoak JM, Li W, Shi W, Sheng Y, Zhao L, Ding Y (2017) A conceptual model of the controlling factors of soil organic carbon and nitrogen densities in a permafrost-affected region on the eastern Qinghai-Tibetan Plateau. J Geophys Res Biogeosci 122(7):1705–1717
Wu D, Piao S, Liu Y, Ciais P, Yao Y (2018) Evaluation of CMIP5 earth system models for the spatial patterns of biomass and soil carbon turnover times and their linkage with climate. J Clim 31(15):5947–5960
Xu W, Li W, Jiang P et al (2014) Distinct temperature sensitivity of soil carbon decomposition in forest organic layer and mineral soil. Sci Rep 4:6512
Yang Y, Fang J, Ji C, Ma W, Su S, Tang Z (2010) Soil inorganic carbon stock in the Tibetan alpine grasslands. Glob Biogeochem Cycles 24(4)
Yang R-M, Zhang G-L, Liu F, Lu YY, Yang F, Yang F, Yang M, Zhao YG, Li DC (2016) Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem. Ecol Indic 60:870–878
Yao T, Thompson L, Yang W, Yu W, Gao Y, Guo X, Yang X, Duan K, Zhao H, Xu B, Pu J, Lu A, Xiang Y, Kattel DB, Joswiak D (2012) Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nat Clim Chang 2(9):663–667
Zhao M, Running SW (2010) Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329(5994):940–943
Zhao M, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens Environ 95(2):164–176
Zhou Y, Webster R, Viscarra R et al (2019) Baseline map of soil organic carbon in Tibet and its uncertainty in the 1980s. Geoderma 334:124–133
Zimov SA, Schuur EA, Chapin FS (2006) Permafrost and the global carbon budget. Science 312(5780):1612–1613
Acknowledgement
This work is jointly supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070404), the National Natural Science Foundation of China (42075090, 41805079, 41875018, and 41930759), the Foundation for Excellent Youth Scholars of Northwest Institute of Eco-Environment and Resources CAS (FEYS2019001), and the Science and Technology Plan of Gansu Province, China (20JR10RA070).
Availability of data and material
All the data used in the current study are public. The CMIP5 data can be downloaded from https://esgf-node.llnl.gov/search/cmip5/; the Harmonized World Soil Database (HWSD) were download from the ORNL DAAC web https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1247; the International Geosphere–Biosphere Programme Data and Information System (IGBP-DIS) can be obtained at the ORNL DAAC web https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=565; and the MODIS NPP data can be obtained from the Numerical Terradynamic Simulation Group (NTSG) at the University of Montana (http://files.ntsg.umt.edu/data/NTSG_Products/MOD17/).
Code availability
NCAR Command Language (NCL) was used to process the data process and plot the figures.
Funding
This work is jointly supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070404), the National Natural Science Foundation of China (42075090, 41805079, 41875018, and 41930759), the Foundation for Excellent Youth Scholars of Northwest Institute of Eco-Environment and Resources CAS (FEYS2019001), and the Science and Technology Plan of Gansu Province, China (20JR10RA070).
Author information
Authors and Affiliations
Contributions
Suosuo Li contributed to the idea of the study and wrote most part of the manuscript.
Yuanpu Liu performed the data analyses and plotted some of the figures.
Shihua Lyu restructured and rewrote the introduction part.
Shaoying Wang helped replot Figs. 3 and 4.
Yongjie Pan help us improve the introduction part and read and corrected the whole manuscript.
Yanyan Qin help us list the table about the model information and explain the relationship between soil carbon and environment and vegetation.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Ethics approval and consent to participate are not applicable for this study.
Consent for publication
The work described has not been published before and also is not under consideration for publication elsewhere.
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Li, S., Liu, Y., Lyu, S. et al. Change in soil organic carbon and its climate drivers over the Tibetan Plateau in CMIP5 earth system models. Theor Appl Climatol 145, 187–196 (2021). https://doi.org/10.1007/s00704-021-03631-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-021-03631-y