Journal of Soils and Sediments

, Volume 11, Issue 4, pp 562–576 | Cite as

Modeling impacts of climate change on carbon dynamics in a steppe ecosystem in Inner Mongolia, China

  • Xiaoming Kang
  • Yanbin Hao
  • Changsheng Li
  • Xiaoyong Cui
  • Jinzhi Wang
  • Yichao Rui
  • Haishan Niu
  • Yanfen Wang
SOILS, SEC 1 • SOIL ORGANIC MATTER DYNAMICS AND NUTRIENT CYCLING • RESEARCH ARTICLE

Abstract

Purpose

In this study, a process-oriented biogeochemistry model, denitrification–decomposition (DNDC), was employed and adapted to interpret and integrate the field observations that the tested ecosystem was a weak sink of atmospheric carbon dioxide (CO2) in 2004 but a strong source in 2005 during the growing seasons. Then we applied the model to predict long-term impacts of climate change on carbon (C) dynamics in the semiarid grassland.

Materials and methods

To adapt DNDC for the targeted grassland, we modified the default values of several grass parameters such as maximum biomass production, biomass partitions, plant tissue C/N ratio, and accumulative thermal degree days based on local observations. Daily weather data for 2004 and 2005 in conjunction with soil properties and management practices for the location were utilized as inputs to simulate the grass growth and soil C dynamics. The modeled C fluxes were compared with the eddy tower data. Sensitivity tests were conducted with a baseline and twelve alternative climate scenarios of 100 years for the target grassland.

Results and discussion

The observed and modeled CO2 fluxes data were well in agreement (P < 0.0001), both showing that the grassland shifted from a sink to a source of atmospheric CO2 from a wet year (2004) to a dry year (2005) over growing season. Simulations of 100 years found that, under the fenced conditions, (1) the tested ecosystem would gain C with the baseline climate conditions at a rate of 200 kg C/ha/year; (2) the warmer and drier climate scenario made the worst case having the lowest grass production with 72 kg C/ha/year lost from the soil carbon pool; and (3) the cooler and wetter climate scenario made the best case having the highest biomass production with 790 kg C/ha/year sequestered in the soil during the simulated 100 years.

Conclusions

DNDC model could be used for the prediction of C dynamics in this semiarid grassland ecosystem. Since the ecosystem production is precipitation-limited, a cooler or wetter future climate would substantially elevate the C sequestration capacity of the grassland. However, the C sequestration potential could significantly decrease and even become negative to turn the ecosystem to a source of atmospheric CO2 if the climate turned to be warmer and/or drier in the coming 100 years.

Keywords

Climate change Carbon flux DNDC Eddy covariance Grassland 

References

  1. Aubinet M, Heinesch B, Longdoz B (2002) Estimation of the carbon sequestration by a heterogeneous forest: night flux corrections, heterogeneity of the site and inter-annual variability. Glob Chang Biol 8:1053–1071CrossRefGoogle Scholar
  2. Baldocchi DD (2003) Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Glob Chang Biol 9:479–492CrossRefGoogle Scholar
  3. Baldocchi D, Falge E, Gu LH, Olson R, Hollinger D, Running S, Anthoni P, Bernhofer C, Davis K, Evans R, Fuentes J, Goldstein A, Katul G, Law B, Lee XH, Malhi Y, Meyers T, Munger W, Oechel W, KTP U, Pilegaard K, Schmid HP, Valentini R, Verma S, Vesala T, Wilson K, Wofsy S (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull Am Meteorol Soc 82:2415–2434CrossRefGoogle Scholar
  4. Baldocchi DD, Xu LK, Kiang N (2004) How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agric For Meteorol 123:13–39CrossRefGoogle Scholar
  5. Brisson N, Ruget F, Gate P, Lorgeau J, Nicoullaud B, Tayot X, Plenet D, Jeuffroy MH, Bouthier A, Ripoche D, Mary B, Justes E (2002) STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize. Agronomie 22:69–92CrossRefGoogle Scholar
  6. Chen ZZ, Wang SP (2000) Chinese typical grassland ecosystem. Science Press, BeijingGoogle Scholar
  7. Falge E, Baldocchi D, Olson R, Anthoni P, Aubinet M, Bernhofer C, Burba G, Ceulemans R, Clement R, Dolman H, Granier A, Gross P, Grunwald T, Hollinger D, Jensen NO, Katul G, Keronen P, Kowalski A, Lai CT, Law BE, Meyers T, Moncrieff H, Moors E, Munger JW, Pilegaard K, Rannik U, Rebmann C, Suyker A, Tenhunen J, Tu K, Verma S, Vesala T, Wilson K, Wofsy S (2001) Gap filling strategies for defensible annual sums of net ecosystem exchange. Agric For Meteorol 107:43–69CrossRefGoogle Scholar
  8. Falge E, Baldocchi D, Tenhunen J, Aubinet M, Bakwin P, Berbigier P, Bernhofer C, Burba G, Clement R, Davis KJ, Elbers JA, Goldstein AH, Grelle A, Granier A, Guomundsson J, Hollinger D, Kowalski AS, Katul G, Law BE, Malhi Y, Meyers T, Monson RK, Munger JW, Oechel W, Paw KT, Pilegaard K, Rannik U, Rebmann C, Suyker A, Valentini R, Wilson K, Wofsy S (2002) Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agric For Meteorol 113:53–74CrossRefGoogle Scholar
  9. Fan S, Gloor M, Mahlman J, Pacala S, Sarmiento J, Takahashi T, Tans P (1998) A large terrestrial carbon sink in North America implied by atmospheric and oceanic carbon dioxide data and models. Science 282:442–446CrossRefGoogle Scholar
  10. Giltrap DL, Li CS, Saggar S (2010) DNDC: a process-based model of greenhouse gas fluxes from agricultural soils. Agric Ecosyst Environ 136:292–300CrossRefGoogle Scholar
  11. Goulden ML, Munger JW, Fan SM, Daube BC, Wofsy SC (1996) Measurements of carbon sequestration by long-term eddy covariance: methods and a critical evaluation of accuracy. Glob Chang Biol 2:169–182CrossRefGoogle Scholar
  12. Hao YB, Wang YF, Huang XZ, Cui XY, Zhou XQ, Wang SP, Niu HS, Jiang GM (2007) Seasonal and interannual variation in water vapor and energy exchange over a typical steppe in Inner Mongolia, China. Agric For Meteorol 146:57–69CrossRefGoogle Scholar
  13. Hao YB, Wang YF, Mei XR, Huang XZ, Cui XY, Zhou XQ, Niu HS (2008) CO2, H2O and energy exchange of an Inner Mongolia steppe ecosystem during a dry and wet year. Acta Oecol 33:133–143CrossRefGoogle Scholar
  14. Houborg RM, Soegaard H (2004) Regional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data. Application to Zealand, Denmark. Remote Sens Environ 93:150–167CrossRefGoogle Scholar
  15. Hsieh CI, Leahy P, Kiely G, Li CS (2005) The effect of future climate perturbations on N2O emissions from a fertilized humid grassland. Nutr Cycl Agroecosyst 73:15–23CrossRefGoogle Scholar
  16. Huang Y, Yu YQ, Zhang W, Sun WJ, Liu SL, Jiang J, Wu JS, Yu WT, Wang Y, Yang ZF (2009) Agro-C: a biogeophysical model for simulating the carbon budget of agroecosystems. Agric For Meteorol 149:106–129CrossRefGoogle Scholar
  17. Hunt JE, Kelliher FM, McSeveny TM, Ross DJ, Whitehead D (2004) Long-term carbon exchange in a sparse, seasonally dry tussock grassland. Glob Chang Biol 10:1785–1800CrossRefGoogle Scholar
  18. IPCC (2007) Climate change 2007: the physical science basis. Contribution of Working Group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  19. Jaksic V, Kiely G, Albertson J, Oren R, Katul G, Leahy P, Byrne KA (2006) Net ecosystem exchange of grassland in contrasting wet and dry years. Agric For Meteorol 139:323–334CrossRefGoogle Scholar
  20. Janssen PHM, Heuberger PSC (1995) Calibration of process-oriented models. Ecol Model 83:55–66CrossRefGoogle Scholar
  21. Jiang S (1985) An introduction on the inner mongolia grassland ecosystem research station. Academia Sinica. Inner mongolia grassland ecosystem research station. Res Grassland Ecosyst 1:1–10Google Scholar
  22. Kesik M, Bruggemann N, Forkel R, Kiese R, Knoche R, Li CS, Seufert G, Simpson D, Butterbach-Bahl K (2006) Future scenarios of N2O and NO emissions from European forest soils. J Geophys Res 111Google Scholar
  23. Kirschbaum MUF (1995) The temperature-dependence of soil organic-matter decomposition, and the effect of global warming on soil organic-C storage. Soil Biol Biochem 27:753–760CrossRefGoogle Scholar
  24. Kljun N, Calanca P, Rotachhi MW, Schmid HP (2004) A simple parameterisation for flux footprint predictions. Boundary-Layer Meteorol 112:503–523CrossRefGoogle Scholar
  25. Kurbatova J, Li CS, Varlagin A, Xiao XM, Vygodskaya N (2008) Modeling carbon dynamics in two adjacent spruce forests with different soil conditions in Russia. Biogeosciences 5:969–980CrossRefGoogle Scholar
  26. Law BE, Falge E, Gu L, Baldocchi DD, Bakwin P, Berbigier P, Davis K, Dolman AJ, Falk M, Fuentes JD, Goldstein A, Granier A, Grelle A, Hollinger D, Janssens IA, Jarvis P, Jensen NO, Katul G, Mahli Y, Matteucci G, Meyers T, Monson R, Munger W, Oechel W, Olson R, Pilegaard K, Paw KT, Thorgeirsson H, Valentini R, Verma S, Vesala T, Wilson K, Wofsy S (2002) Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agric For Meteorol 113:97–120CrossRefGoogle Scholar
  27. Leuning R, Cleugh HA, Zegelin SJ, Hughes D (2005) Carbon and water fluxes over a temperate Eucalyptus forest and a tropical wet/dry savanna in Australia: measurements and comparison with MODIS remote sensing estimates. Agric For Meteorol 129:151–173CrossRefGoogle Scholar
  28. Li CS (2007) Selenium deficiency and endemic heart failure in China: a case study of biogeochemistry for human health. Ambio 36:90–93CrossRefGoogle Scholar
  29. Li CS, Frolking S, Frolking TA (1992a) A model of nitrous-oxide evolution from soil driven by rainfall events: 1. Model structure and sensitivity. J Geophys Res 97:9759–9776Google Scholar
  30. Li CS, Frolking S, Frolking TA (1992b) A model of nitrous-oxide evolution from soil driven by rainfall events: 2. Model applications. J Geophys Res 97:9777–9783Google Scholar
  31. Li CS, Frolking S, Harriss R (1994) Modeling carbon biogeochemistry in agricultural soils. Glob Biogeochem Cycles 8:237–254CrossRefGoogle Scholar
  32. Li CS, Aber J, Stange F, Butterbach-Bahl K, Papen H (2000) A process–oriented model of N2O and NO emissions from forest soils: 1. Model development. J Geophys Res 105:4369–4384CrossRefGoogle Scholar
  33. Meyers TP (2001) A comparison of summertime water and CO2 fluxes over rangeland for well watered and drought conditions. Agric For Meteorol 106:205–214CrossRefGoogle Scholar
  34. Nagy Z, Pinter K, Czobel S, Balogh J, Horvath L, Foti S, Barcza Z, Weidinger T, Csintalan Z, Dinh NQ, Grosz B, Tuba Z (2007) The carbon budget of semi-arid grassland in a wet and a dry year in Hungary. Agric Ecosyst Environ 121:21–29CrossRefGoogle Scholar
  35. Sanderman J, Amundson RG, Baldocchi DD (2003) Application of eddy covariance measurements to the temperature dependence of soil organic matter mean residence time. Glob Biogeochem Cycles 17:15CrossRefGoogle Scholar
  36. Sims PL, Bradford JA (2001) Carbon dioxide fluxes in a southern plains prairie. Agric For Meteorol 109:117–134CrossRefGoogle Scholar
  37. Stange F, Butterbach-Bahl K, Papen H, Zechmeister-Boltenstern S, Li CS, Aber J (2000) A process-oriented model of N2O and NO emissions from forest soils 2. Sensitivity analysis and validation. J Geophys Res 105:4385–4398CrossRefGoogle Scholar
  38. Sundquist ET (1993) The global carbon-dioxide budget. Science 259:934–941Google Scholar
  39. Suyker AE, Verma SB, Burba GG (2003) Interannual variability in net CO2 exchange of a native tallgrass prairie. Glob Chang Biol 9:255–265CrossRefGoogle Scholar
  40. Tans PP, Fung IY, Takahashi T (1990) Observational constraints on the global atmospheric CO2 budget. Science 247:1431–1438CrossRefGoogle Scholar
  41. Wang JW, Cai C (1988) Studies on genesis, types and characteristics of the soils of the Xilin River Basin. In: Inner Mongolia Grassland Ecosystem Research Station (ed.). Res Grassland Ecosyst 3:23–83Google Scholar
  42. Wang GX, Qian J, Cheng GD, Lai YM (2002) Soil organic carbon pool of grassland soils on the Qinghai-Tibetan Plateau and its global implication. Sci Total Environ 291:207–217CrossRefGoogle Scholar
  43. Webb EK, Pearman GI, Leuning R (1980) Correction of flux measurements for density effects due to heat and water-vapor transfer. Q J R Meteorol Soc 106:85–100CrossRefGoogle Scholar
  44. Xiao XM, Wang YF, Jiang S, Ojima DS, Bonham CD (1995) Interannual variation in the climate and above-ground biomass of Leymus chinensis steppe and Stipa grandis steppe in the Xilin River Basin, Inner Mongolia, China. J Arid Environ 31:283–299CrossRefGoogle Scholar
  45. Xu LK, Baldocchi DD (2004) Seasonal variation in carbon dioxide exchange over a Mediterranean annual grassland in California. Agric For Meteorol 123:79–96CrossRefGoogle Scholar
  46. Xu-Ri WYS, Zheng XH, Ji BM, Wang MX (2003) A comparison between measured and modeled N2O emissions from Inner Mongolian semi-arid grassland. Plant Soil 255:513–528CrossRefGoogle Scholar
  47. Yuan F, Han XG, Ge JP, Wu JG (2008) Net primary productivity of Leymus chinensis steppe in Xilin River Basin of Inner Mongolia and its responses to global climate change. Chin J Appl Ecol 19:2168–2176Google Scholar
  48. Zhang L, Wylie BK, Ji L, Gilmanov TG, Tieszen LL (2010) Climate-driven interannual variability in net ecosystem exchange in the Northern Great Plains Grasslands. Rangeland Ecol Manag 63:40–50CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Xiaoming Kang
    • 1
  • Yanbin Hao
    • 2
  • Changsheng Li
    • 3
  • Xiaoyong Cui
    • 2
  • Jinzhi Wang
    • 1
  • Yichao Rui
    • 1
  • Haishan Niu
    • 1
  • Yanfen Wang
    • 2
  1. 1.College of Resources and EnvironmentGraduate University of Chinese Academy of SciencesBeijingPeople’s Republic of China
  2. 2.College of Life SciencesGraduate University of Chinese Academy of SciencesBeijingPeople’s Republic of China
  3. 3.Institute for the Study of Earth, Ocean and SpaceUniversity of New HampshireDurhamUSA

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