Skip to main content

Advertisement

Log in

Impact of climatic and vegetation dynamic change on runoff over the Three Rivers Source Region based on the Community Land Model

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

The Three Rivers Source Region (TRSR), the headwater region of the Yellow River, the Mekong River, and the Yangtze River, plays a significant role in water resources, food security, economy, and society in the downstream areas. This study applied a series of offline regional simulations of the Community Land Model (CLM5.0) over the TRSR to evaluate the impacts of regional climate and vegetation change on runoff. Firstly, we evaluated the performance of runoff depth using CLM5.0, the Nash–Sutcliffe efficiency between the simulated and observed runoff of TNH and ZMD gage stations are 0.56 and 0.51, respectively. The climate on the TRSR shows a warming and wetting trend, with the fastest warming rate in DJF (December, January, and February) and the fastest wetting rate in JJA (June, July, and August). Runoff increases in most of the TRSR with increased precipitation and decreases in the southeast of the Yellow River Source Region (YRSR). With increasing temperature, the simulated runoff shows a decreasing trend, while runoff tends to increase with precipitation enhancement over the TRSR. The results indicated that precipitation is the dominant factor affecting evapotranspiration (ET) and runoff, whilst the contribution of increasing temperature to runoff is 12%, which plays a regulatory role in the increased streamflow. In addition, Dynamic Global Vegetation Model (DGVM) in CLM5.0 was used to study the impact of vegetation change on runoff. Compared to the static vegetation, the simulated leaf area index (LAI) from the DGVM shows an increasing trend in most regions of the TRSR and the runoff in the TRSR decreases by 33%.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data availability

Not applicable.

References

  • Andermann C, Longuevergne L, Bonnet S, Crave A, Davy P, Gloaguen P (2012) Impact of transient groundwater storage on the discharge of Himalayan rivers. Nat Geosci 5(2):127–132

    Google Scholar 

  • Balland V, Arp PA (2005) Modeling soil thermal conductivities over a wide range of conditions. J Environ Eng Sci 4(6):549–558

    Google Scholar 

  • Bense V, Kooi H, Ferguson G, Read T (2012) Permafrost degradation as a control on hydrogeological regime shifts in a warming climate. J Geophys Res-Earth Surface 117:F03036

    Google Scholar 

  • Bonan GB, Levis S, Sitch S et al (2003) A dynamic global vegetation model for use with climate models: concepts and description of simulated vegetation dynamics. Global Change Biol 9(11):1543–1566. https://doi.org/10.1046/j.1365-2486.2003.00681.x

    Article  Google Scholar 

  • Deng M, Meng X, Li Z, Lyv Y, Lei H, Zhao L et al (2019) Responses of soil moisture to regional climate change over the three rivers source region on the Tibetan Plateau. Int J Climatol 40(4):2403–2417

    Google Scholar 

  • Deng M, Meng X, Lyv Y, Zhao L, Li Z, Hu Z, Jing H (2020) Comparison of soil water and heat transfer modeling over the Tibetan Plateau using two Community Land Surface Model (CLM) versions. J Adv Model Earth Syst 12:e2020MS002189

    Google Scholar 

  • Deng M, Meng X, Lu Y, Li Z, Zhao L, Hu Z et al (2021) Impact and sensitivity analysis of soil water and heat transfer parameterizations in Community Land Surface Model on the Tibetan Plateau. J Adv Model Earth Syst 13:e2021MS002670

    Google Scholar 

  • Deng M, Meng X, Lu Y et al (2022) The response of vegetation to regional climate change on the Tibetan Plateau based on remote sensing products and the dynamic global vegetation model. Remote Sens 14:3337. https://doi.org/10.3390/rs14143337

    Article  Google Scholar 

  • Feng A, Li Y, Gao J, Wu S, Feng A (2017) The determinants of streamflow variability and variation in three-river source of China: climate change or ecological restoration? Environ Earth Sci 76(20):696

    Google Scholar 

  • Guo B, Zhou Y, Zhu J, Liu W et al (2016) Spatial patterns of ecosystem vulnerability changes during 2001–2011 in the three-river source region of the Qinghai–Tibetan Plateau, China. J Arid Land 8(1):23–35. https://doi.org/10.1007/s40333-015-0055-7

    Article  Google Scholar 

  • He J, Yang K, Tang W, Lu H, Qin J, Chen YY, Li X (2020) The first high-resolution meteorological forcing dataset for land process studies over China. Sci Data 7:25

    Google Scholar 

  • Jiang C, Zhang L (2016) Effect of ecological restoration and climate change on ecosystems: a case study in the three-rivers headwater region, China. Environ Monitor Assess 188(6):382

    Google Scholar 

  • Kampenhout LV, Lenaerts JTM, Lipscomb WH, Sacks WJ, Broeke MRVD (2017) Improving the representation of polar snow and firn in the community earth system model. J Adv Model Earth Syst 9:2583–2600

    Google Scholar 

  • Kuang X, Jiao J (2016) Review on climate change on the tibetan plateau during the last half century. J Geophys Res 121(8):3979–4007

    Google Scholar 

  • Lawrence PJ, Chase TN (2007) Representing a MODIS consistent land surface in the community land model (CLM 3.0). J Geophys Res 112(G1):G01023

    Google Scholar 

  • Lawrence DM, Fisher RA, Koven CD, Oleson KW, Swenson SC, Bonan G et al (2019) The Community Land Model version 5: description of new features, benchmarking, and impact of forcing uncertainty. J Adv Model Earth Syst 9:2583–2600

    Google Scholar 

  • Li L, Shen H, Sheng D, Xiao J, Shi X (2012) Response of runoff to climate change and its future tendency in the source region of yellow river. J Geog Sci 22(3):431–440

    Google Scholar 

  • Liang K, Liu C, Liu X et al (2013) Impacts of climate variability and human activity on streamflow decrease in a sediment concentrated region in the Middle Yellow River. Stochastic Environ Res Risk Assess 27(7):1741–1749. https://doi.org/10.1007/s00477-013-0713-2

    Article  Google Scholar 

  • Liu X, Chen B (2000) Climatic warming in the Tibetan Plateau during recent decades. Int J Climatol 20(14):1729–1742

    Google Scholar 

  • Liu S, Mo X, Zhao W et al (2009) Temporal variation of soil moisture over the Wuding River basin assessed with an eco-hydrological model, in-situ observations and remote sensing. Hydrol Earth Syst Sci 13(7):1375–1398

    Google Scholar 

  • Meng F, Su F, Yang D, Tong K, Hao Z (2016) Impacts of recent climate change on the hydrology in the source region of the Yellow River basin. J Hydrol 6(C):66–81

    Google Scholar 

  • Ning T, Li Z, Liu W (2016) Separating the impacts of climate change and land surface alteration on runoff reduction in the Jing River catchment of China. CATENA 147:80–86. https://doi.org/10.1016/j.catena.2016.06.041

    Article  Google Scholar 

  • Niu G, Yang Z, Dickinson R, Gulden L (2005) A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models. J Geophys Res 110:D21106

    Google Scholar 

  • Roderick M, Farquhar G (2011) A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties. Water Resour Res 47(12):1–11

    Google Scholar 

  • Rogier V, Der V, Su Z, Wang X et al (2017) Assessment of noah land surface model with various runoff parameterizations over a tibetan river. J Geophys Res Atmos 122(3):1488–1504

    Google Scholar 

  • Shangguan W, Dai Y, Liu B, Ye A, Yuan H (2012) A soil particle-size distribution dataset for regional land and climate modelling in China. Geoderma 171–172(1):85–91

    Google Scholar 

  • Shen Y, Feng M, Zhang H, Gao F (2010) Interpolation methods of China daily precipitation data. J Appl Meteorol Sci 21:3

    Google Scholar 

  • Sitch S, Smith B, Prentice IC, Arneth A, Bondeau A et al (2003) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob Chang Biol 9(2):161–185. https://doi.org/10.1046/j.1365-2486.2003.00569.x

    Article  Google Scholar 

  • Swenson SC, Lawrence DM (2014) Assessing a dry surface layer-based soil resistance parameterization for the community land model using GRACE and FLUXNE-MTE data. J Geophys Res 119:10299–10312

    Google Scholar 

  • Tomer M, Schilling K (2009) A simple approach to distinguish land-use and climate-change effects on watershed hydrology. J Hydrol 376(1–2):24–33

    Google Scholar 

  • Wang G, Kim Y, Wang D (2007) Quantifying the strength of soil moisture-precipitation coupling and its sensitivity to changes in surface water budget. J Hydrometeorol 8(3):551–570

    Google Scholar 

  • Wang X, Pang G, Yang M, Wan G (2016) Effects of modified soil water-heat physics on RegCM4 simulations of climate over the Tibetan Plateau. J Geophys Res 121(12):6692–6712

    Google Scholar 

  • Wang X, Ran Y, Pang G, Chen D et al (2022) Contrasting characteristics, changes, and linkages of permafrost between the Arctic and the Third Pole. Earth Sci Rev 230:104042

    Google Scholar 

  • Wang T, Yang H, Yang D, Qin Y, Wang Y (2018) Quantifying the streamflow response to frozen ground degradation in the source region of the Yellow River within the Budyko framework. J Hydrol 558:301–313

    Google Scholar 

  • Xu L, Hu Z, Zhao Y, Hong X (2019) Climate change characteristics in Qinghai-Tibetan Plateau during 1961–2010. Plateau Meteorol 38(05):911–919

    Google Scholar 

  • Xue Y, Sales FD, Vasic R, Mechoso CR, Arakawa A, Prince S (2010) Global and seasonal assessment of interactions between climate and vegetation biophysical processes: a gcm study with different land-vegetation representations. J Clim 23(23):1411–1433

    Google Scholar 

  • Yang J, Fan Y (2019) Analysis of climate change and its environmental effects in the Three River Source Areas from 1961 to 2012. Qinghai Environ 29(04):169–175

    Google Scholar 

  • Yang K, He J, Tang W, Qin J, Cheng C (2010) On downward shortwave and longwave radiations over high altitude regions: observation and modeling in the Tibetan Plateau. Agric for Meteorol 150(1):38–46

    Google Scholar 

  • Yang Q, Dan L, Lv M, Wu J, Li W, Dong W (2021) Quantitative assessment of the parameterization sensitivity of the Noah-MP land surface model with dynamic vegetation using ChinaFLUX data. Agric for Meteorol 307:10825

    Google Scholar 

  • Yang K, Wang C, Li S (2018) Improved simulation of frozen-thawing process in land surface model (CLM4.5). J Geophys Res 123(23):13238–13258

    Google Scholar 

  • Yang J, Lei H, Yang D et al (2017) Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface hydrology coupled model. J Hydrol 551:116–131. https://doi.org/10.1016/j.jhydrol.2017.05.060

    Article  Google Scholar 

  • Yao T, Thompson L, Yang W et al (2012) Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nat Clim Chang 2:663–667

    Google Scholar 

  • Yao T, Wu G, Xu Q et al (2019) Asian water tower change and its impacts. Bull Chinese Acad Sci 34(11):1203–1209

    Google Scholar 

  • Yuan X, Ji P, Wang L, Liang XZ, Yang K, Ye A et al (2018) High‐resolution land surface modeling of hydrological changes over the sanjiangyuan region in the eastern tibetan plateau: 1. model development and evaluation. J Adv Model Earth Syst 10(11):2806–2828

    Google Scholar 

  • Zhang Y, Zhang S, Zhai X, Xia J (2012) Runoff variation and its response to climate change in the three rivers source region. J Geog Sci 22(005):781–794

    Google Scholar 

  • Zhao F, Xu Z, Zhang L, Zuo D (2009) Streamflow response to climate variability and human activities in the upper catchment of the yellow river basin. Sci China Ser E 52(11):3249–3256

    Google Scholar 

  • Zhao Y, Zou X, Gao J, Xu X, Wang C, Tang D et al (2015) Quantifying the anthropogenic and climatic contributions to changes in water discharge and sediment load into the sea: a case study of the yangtze river, China. Sci Total Environ 536:803–812

    Google Scholar 

  • Zheng H, Zhang L, Zhu R (2009) Responses of streamflow to climate and land surface change in the headwaters of the yellow river basin. Water Resour Res. https://doi.org/10.1029/2007WR006665

    Article  Google Scholar 

  • Zheng D, van der Velde R, Su Z, Wen J, Wang X (2017) Assessment of Noah land surface model with various runoff parameterizations over a Tibetan river. J Geophys Res 122:1488–1504

    Google Scholar 

  • Zhong D, Dong Z, Fu G, Bian J, Zhao Y (2021) Trend and change points of streamflow in the yellow river and their attributions. J Water Clim Change 12(1):136–151

    Google Scholar 

  • Zuo Z, Zhang R, Zhao P (2011) The relation of vegetation over the tibetan plateau to rainfall in china during the boreal summer. Clim Dyn 36(5–6):1207–1219

    Google Scholar 

Download references

Acknowledgements

We wanted to thank the China Meteorological Forcing Dataset provided by Institute of Tibetan Plateau Research, Chinese Academy of Sciences (http://www.tpedatabase.cn/portal/index.jsp); The observed precipitation data over the TP are provided by China Meteorological Administration (http://data.cma.cn/); The observed streamflow data are provided by Qinghai Hydrological and Water Resources Survey Bureau (http://water.sanjiangyuan.org.cn/); We also would like to thank CESM provider, the CESM2.1 is freely available at http://www.cesm.ucar.edu/models/.

Funding

This study was conducted under the auspices of the Chinese National Science Foundation Programs (41930759, 41822501, 41775016, 41975012, and 41875016), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070404, XDA23060601),the Science and Technology Research Plan of Gansu Province (20JR10RA070), the Youth Innovation Promotion Association CAS (QCH2019004), iLEAPs (integrated Land Ecosystem-Atmosphere Processes Study-iLEAPS).

Author information

Authors and Affiliations

Authors

Contributions

Data curation, MD, and DS; formal analysis, MD, XM, YL, and ZL; project administration, XM; software, MD, and LS; writing—original draft, MD; writing—review and editing, XM, YL, LZ, HC, LS. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Xianhong Meng.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Ethical approval

The manuscript “Impact of climate and vegetation dynamic change on runoff over the Three Rivers Source Region of the Tibetan Plateau” is applicable for both human and/ or animal studies. The authors consent to participate and consent to publish are also required.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deng, M., Meng, X., Lu, Y. et al. Impact of climatic and vegetation dynamic change on runoff over the Three Rivers Source Region based on the Community Land Model. Clim Dyn 61, 1193–1208 (2023). https://doi.org/10.1007/s00382-022-06619-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-022-06619-0

Keywords

Navigation