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Ecosystems

, Volume 19, Issue 4, pp 625–644 | Cite as

Modelling Seasonal and Inter-annual Variations in Carbon and Water Fluxes in an Arid-Zone Acacia Savanna Woodland, 1981–2012

  • Chao Chen
  • James Cleverly
  • Lu Zhang
  • Qiang Yu
  • Derek Eamus
Article

Abstract

Changes in climatic characteristics such as seasonal and inter-annual variability may affect ecosystem structure and function, hence alter carbon and water budgets of ecosystems. Studies of modelling combined with field experiments can provide essential information to investigate interactions between carbon and water cycles and climate. Here we present a first attempt to investigate the long-term climate controls on seasonal patterns and inter-annual variations in water and carbon exchanges in an arid-zone savanna-woodland ecosystem using a detailed mechanistic soil–plant–atmosphere model (SPA), driven by leaf area index (LAI) simulated by an ecohydrological model (WAVES) and observed climate data during 1981–2012. The SPA was tested against almost 3 years of eddy covariance flux measurements in terms of gross primary productivity (GPP) and evapotranspiration (ET). The model was able to explain 80 and 71% of the variability of observed daily GPP and ET, respectively. Long-term simulations showed that carbon accumulation rates and ET ranged from 20.6 g C m−2 mon−1 in the late dry season to 45.8 g C m−2 mon−1 in the late wet season, respectively, primarily driven by seasonal variations in LAI and soil moisture. Large climate variations resulted in large seasonal variation in ecosystem water-use efficiency (eWUE). Simulated annual GPP varied between 146.4 and 604.7 g C m−2 y−1. Variations in annual ET coincided with that of GPP, ranging from 110.2 to 625.8 mm y−1. Annual variations in GPP and ET were driven by the annual variations in precipitation and vapour pressure deficit (VPD) but not temperature. The linear coupling of simulated annual GPP and ET resulted in eWUE having relatively small year-to-year variation.

Keywords

gross primary production evapotranspiration transpiration water-use efficiency WAVES model SPA model 

Notes

Acknowledgements

This work was supported by grants from the National Centre for Groundwater Research and Training (NCGRT) and the Australian Government’s Terrestrial Ecosystems Research Network (TERN). This work was supported also by OzFlux and the Australian Supersite Network.

References

  1. Baldocchi DD. 1994. A comparative study of mass and energy exchange rates over a closed C3 (wheat) and an open C4 (corn) crop: II. CO2 exchange and water use efficiency. Agric For Meteorol 67(3):291–321.CrossRefGoogle Scholar
  2. Baldocchi DD. 1997. Measuring and modelling carbon dioxide and water vapour exchange over a temperate broad-leaved forest during the 1995 summer drought. Plant Cell Environ 20:1108.CrossRefGoogle Scholar
  3. Baldocchi DD. 2008. Breathing of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems. Aust J Bot 56:1–26.CrossRefGoogle Scholar
  4. Baldocchi DD, Wilson KB. 2001. Modeling CO2 and water vapour exchange of a temperate broadleaved forest across hourly to decadal time scales. Ecol Model 142(1):155–84.CrossRefGoogle Scholar
  5. Barton CVM, Duursma RA, Medlyn BE, Ellsworth DS, Eamus D, Tissue DT, Adams MA, Conroy J, Crous KY, Liberloo M, Löw M, Linder S, McMurtrie RE. 2011. Effects of elevated atmospheric [CO2] on instantaneous transpiration efficiency at leaf and canopy scales in Eucalyptus saligna. Glob Chang Biol 18:585–95.CrossRefGoogle Scholar
  6. Beer C, Ciais P, Reichstein MD, Baldocchi D, Law BE, Papale D, Soussana JF, Ammann C, Buchmann N, Frank D, Gianelle D, Janssens IA, Knohl A, Ko stner B, Moors E, Roupsard O, Verbeeck H, Vesala T, Williams CA, Wohlfahrt G. 2009. Temporal and among-site variability of inherent water use efficiency at the ecosystem level. Glob Biogeochem Cycle 23(2):GB2018. doi: 10.1029/2008GB003233.CrossRefGoogle Scholar
  7. Berry G, Reeder MJ, Jakob C. 2011. Physical mechanisms regulating summertime rainfall over northwestern Australia. J Clim 24:3705–17.CrossRefGoogle Scholar
  8. Bowman D, Brown GK, Braby MF, Brown JR, Cook LG, Crisp MD, Ford F, Haberle S, Hughes J, Isagi Y, Joseph L, McBride J, Nelson G, Ladiges PY. 2010. Biogeography of the Australian monsoon tropics. J Biogeography 37:201–16.CrossRefGoogle Scholar
  9. Braswell BH, Sacks WJ, Linder E, Schimel DS. 2005. Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations. Glob Change Biol 11(2):335–55.CrossRefGoogle Scholar
  10. Chen XY, Bowler JM, Magee JW. 1991. Aeolian landscapes in central Australia: gypsiferous and quartz dune environments from Lake Amadeus. Sedimentology 38(3):519–38.CrossRefGoogle Scholar
  11. Chen C, Eamus D, Cleverly J, Boulain N, Cook P. 2014. Modelling vegetation water-use and groundwater recharge as affected by climate variability in an arid-zone Acacia savanna woodland. J Hydrol 519(2014):1084–96.CrossRefGoogle Scholar
  12. Cleverly J. 2011. Alice Springs Mulga OzFlux site, OzFlux: Australian and New Zealand flux research and monitoring network, hdl: 102.100.100/8697.Google Scholar
  13. Cleverly J, Boulain N, Villalobos-Vega R, Grant N, Faux R, Wood C, Cook PG, Yu Q, Leigh A, Eamus D. 2013. Dynamics of component carbon fluxes in a semi-arid Acacia woodland, central Australia. J Geophys Res Biogeosci 118(3):1168–85.CrossRefGoogle Scholar
  14. Collatz GJ, Ball JT, Grivet C, Berry JA. 1991. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agric For Meteorol 54:107–36.CrossRefGoogle Scholar
  15. Collatz GJ, Ribas-Carbo M, Berry JA. 1992. Coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Aus J Plant Physiol 19:519–38.CrossRefGoogle Scholar
  16. Dawes W, Hatton TJ. 1993. Topog_IRM 1. Model description. CSIRO Division of Water Resources, Technical Memorandum 93: 33Google Scholar
  17. Dawes WR, Zhang L, Dyce P. 1998. WAVES V3.5 user manual. Canberra: CSIRO Land and Water.Google Scholar
  18. Eamus D. 2003. How does ecosystem water balance affect net primary productivity of woody ecosystems? Funct Plant Biol 30:187–205.CrossRefGoogle Scholar
  19. Eamus D, Cole S. 1997. Diurnal and seasonal comparisons of assimilation, phyllode conductance and water potential of tree Acacia and one Eucalyptus species in the wet-dry tropics of Australia. Aust J Bot 45:275–90.CrossRefGoogle Scholar
  20. Eamus D, Prior L. 2001. Ecophysiology of trees of seasonally dry tropics: comparisons among phenologies. Adv Ecol Res 32:113–97.CrossRefGoogle Scholar
  21. Eamus D, Boulain N, Cleverly J, Breshears DD. 2013a. Global change-type drought-induced tree mortality: vapour pressure deficit is more important than temperature per se in causing decline in tree health. Ecol Evol 3:2711–29.CrossRefPubMedPubMedCentralGoogle Scholar
  22. Eamus D, Cleverly J, Boulain N, Grant N, Faux R, Villalobos-Vega R. 2013b. Carbon and water fluxes in an arid-zone Acacia savanna woodland: an analyses of seasonal patterns and responses to rainfall events. Agric For Meteorol 182–183:225–38.CrossRefGoogle Scholar
  23. Farquhar GD, von Caemmerer S, Berry JA. 1980. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149:78–90.CrossRefPubMedGoogle Scholar
  24. Fisher RA, Williams M, Lola da Costa A, Malhi Y, da Costa RF, Almeida S, Meir P. 2007. The response of an Eastern Amazonian rain forest to drought stress: results and modelling analyses from a throughfall exclusion experiment. Glob Change Biol 13:1–18.CrossRefGoogle Scholar
  25. Flanagan LB, Adkinson AC. 2011. Interacting controls on productivity in a northern great plains grassland and implications for response to ENSO events. Glob Change Biol 17:3293–311.CrossRefGoogle Scholar
  26. Houghton JT, Meira Filho LG, Callander BA, Harris N, Kattenberg A, Maskell K. 1996. Climate Change 1995. The science of climate change: Cambridge University Press, Cambridge. 572Google Scholar
  27. Ihara C, Kushnir Y, Cane MA. 2008. Warming trend of the Indian Ocean SST and Indian Ocean dipole from 1880 to 2004. J Clim 21:2035–46.CrossRefGoogle Scholar
  28. IPCC. 2014. Working Group II contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. United Kingdom: Intergovernmental Panel on Climate Change.Google Scholar
  29. Jarvis PG, McNaughton KG. 1986. Stomatal control of transpiration: scaling up from leaf to region. Adv Ecol Res 15:1–49.CrossRefGoogle Scholar
  30. Jeffrey SJ, Carter JO, Moodie KB, Beswick AR. 2001. Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ Model Softw 16:309–30.CrossRefGoogle Scholar
  31. Kong Q, Zhao S. 2010. Heavy rainfall caused by interactions between monsoon depression and middle-latitude systems in Australia: a case study. Meteorol Atmos Phys 106:205–26.CrossRefGoogle Scholar
  32. Landsberg JJ, Coops NC. 1999. Modeling forest productivity across large areas and long periods. Nat Res Model 12:383–411.CrossRefGoogle Scholar
  33. 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 K, Matteucci G, Meyers T, Monson R, Munger W, Oechel W, Olson R, Pilegaard K, Paw UKT, Thorgeirsson H, Valentini R, Verma S, Vesala T, Wilson K, Wofsy S. 2002. Environmental controls over carbon dioxide and water vapour exchange of terrestrial vegetation. Agric For Meteorol 113:97–120.CrossRefGoogle Scholar
  34. Leuning R. 1995. A critical appraisal of a combined stomatal-photosynthesis model for C3 plants. Plant Cell Environ 18(4):339–55.CrossRefGoogle Scholar
  35. Linderson ML, Mikkelsen TN, Ibrom A, Lindroth A, Ro-Poulsen H, Pilegaard K. 2012. Up-scaling of water use efficiency from leaf to canopy as based on leaf gas exchange relationships and the modelled in-canopy light distribution. Agric For Meteorol 152:201–11.CrossRefGoogle Scholar
  36. MacFarlane C, Hoffman M, Eamus D, Kerp N, Higginson S, McMurtrie R, Adams M. 2007. Estimation of leaf area index in eucalypt forest using digital photography. Agric For Meteorol 143:176–88.CrossRefGoogle Scholar
  37. Migliavacca M, Meroni M, Manca G, Matteucci G, Montagnani L, Grassi G, Zenone T, Teobaldelli M, Goded I, Colombo R, Seufert G. 2009. Seasonal and interannual patterns of carbon and water fluxes of a poplar plantation under peculiar eco-climatic conditions. Agric For Meteorol 149(9):1460–76.CrossRefGoogle Scholar
  38. Monteith J, Unsworth M. 2008. Principles of environmental physics. Edward Arnold: London. p 250.Google Scholar
  39. Morton SR, Stafford Smith DM, Dickman CR, Dunkerley DL, Friedel MH, McAllister RRJ, Reid JRW, Roshier DA, Smith MA, Walsh FJ, Wardle GM, Watson IW, Westoby M. 2011. A fresh framework for the ecology of arid Australia. J Arid Environ 75(4):313–29.CrossRefGoogle Scholar
  40. Nemani RR, Keeling CD, Hashimoto H, Jolly WM, Piper SC, Tucker CJ, Myneni RB, Running SW. 2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300(5625):1560–3.CrossRefPubMedGoogle Scholar
  41. Niu SL, Wu MY, Han Y, Xia JY, Li LH, Wan SQ. 2008. Water-mediated responses of ecosystem carbon fluxes to climatic change in a temperate steppe. New Phytol 177:209–19.PubMedGoogle Scholar
  42. Nix HA, Austin MP. 1973. Mulga: a bioclimatic analysis. Tropic Grassl 7:9–20.Google Scholar
  43. O’Grady AP, Cook PG, Eamus D, Duguid A, Wischusen JDH, Fass T, Worldege D. 2009. Convergence of tree water use within an arid-zone woodland. Oecologia 160:643–55.CrossRefPubMedGoogle Scholar
  44. Papalexiou SM, Koutsoyiannis D. 2013. Battle of extreme value distributions: a global survey on extreme daily rainfall. Water Resour Res 49:10.CrossRefGoogle Scholar
  45. Perez-Ruiz ER, Garatuza-Payan J, Watts CJ, Rodriguez JC, Yepez EA, Scott RL. 2010. Carbon dioxide and water vapour exchange in a tropical dry forest influenced by the North American Monsoon System (NAMS). J Arid Environ 74:556–63.CrossRefGoogle Scholar
  46. Ponce-Campos GE, Moran MS, Huete A, Zhang Y, Bresloff C, Huxman TE, Eamus D, Bosch DD, Buda AR, Gunter SA, Scalley TH, Kitchen SG, McClaran MP, McNab WH, Montoya DS, Morgan JA, Peters DPC, Sadler JE, Seyfried MS, Starks PJ. 2013. Ecosystem resilience despite large-scale altered hydroclimatic conditions. Nature 494:349–52.CrossRefPubMedGoogle Scholar
  47. Ponton S, Flanagan LB, Alstad KP, Johnson BG, Morgenstern K, Kljun N, Black TA, Barr AG. 2006. Comparison of ecosystem water-use efficiency among Douglas-fir forest, aspen forest and grassland using eddy covariance and carbon isotope techniques. Global Change Biol 12:294–310.CrossRefGoogle Scholar
  48. Raz-Yaseef N, Yakir D, Schiller G, Cohen S. 2012. Dynamics of evapotranspiration partitioning in a semi-arid forest as affected by temporal rainfall patterns. Agric For Meteorol 157:77–85.CrossRefGoogle Scholar
  49. Running SW, Coughlan JC. 1988. A general model of forest ecosystem processes for regional applications. 1. Hydrological balance, canopy gas exchange and primary production processes. Ecol Model 42:125–54.CrossRefGoogle Scholar
  50. Saji NH, Goswami BN, Vinayachandran PN, Yamagata T. 1999. A dipole mode in the tropical Indian Ocean. Nature 401:360–3.PubMedGoogle Scholar
  51. Salinger MJ. 2005. Climate variability and change: past, present and future-an overview. Clim Chang 70(1–2):9–29.CrossRefGoogle Scholar
  52. Schwarz PA, Law BE, Williams M, Irvine J, Kurpius M, Moore D. 2004. Climatic versus biotic constraints on carbon and water fluxes in seasonally drought-affected ponderosa pine ecosystems. Global Biogeochem Cycle 18:1–17.CrossRefGoogle Scholar
  53. Shao MA, Huang M, Zhang L, Li YS. 2002. Simulation of field-scale water balance on the Loess Plateau using the WAVES model. ACIAR Monogr 84:48–56.Google Scholar
  54. Tian H, Melillo JM, Kicklighter DW, McGuire AD, Helfrich Iii J, Moore Iii B, Vörösmarty CJ. 2000. Climatic and biotic controls on annual carbon storage in Amazonian ecosystems. Global Ecol Biogeogr 9(4):315–35.CrossRefGoogle Scholar
  55. Twine TE, Kustas WP, Norman JM, Cook DR, Houser PR, Meyers TP, Prueger JH, Starks PJ, Wesley ML. 2000. Correcting eddy-covariance flux underestimates over a grassland. Agric For Meteorol 103:279–300.CrossRefGoogle Scholar
  56. Van Etten EJB. 2009. Inter-annual rainfall variability of arid Australia: greater than elsewhere? Aust Geogr 40:109–20.CrossRefGoogle Scholar
  57. Wang H, Zhang L, Dawes WR, Liu C. 2001. Improving water use efficiency of irrigated crops in the North China Plain—measurements and modelling. Agric Water Manag 48(2):151–67.CrossRefGoogle Scholar
  58. Wang X, Wang C, Yu G. 2008. Spatio-temporal patterns of forest carbon dioxide exchange based on global eddy covariance measurements. Sci China D 51:1129–43.CrossRefGoogle Scholar
  59. Weiss M, Baret F, Smith GJ, Jonckheere I, Coppin P. 2004. Review of methods for in situ leaf area index (LAI) determination Part II, estimation of LAI, errors and sampling. Agric For Meteorol 121:37–53.CrossRefGoogle Scholar
  60. Whitley RJ, Macinnis-Ng CM, Hutley LB, Beringer J, Zeppel M, Williams M, Taylor D, Eamus D. 2011. Is productivity of mesic savannas light limited or water limited? Results of a simulation study. Glob Change Biol 17(10):3130–49.CrossRefGoogle Scholar
  61. Williams M, Rastetter EB, Fernandes DN, Goulden ML, Wofsy SC, Shaver GR, Melillo JM, Munger JW, Fan SM, Nadelhoffer KJ. 1996. Modelling the soil-plant-atmosphere continuum in a Quercus-Acer stand at Harvard Forest: the regulation of stomatal conductance by light, nitrogen and soil/plant hydraulic properties. Plant Cell Environ 19(8):911–27.CrossRefGoogle Scholar
  62. Williams M, Malhi Y, Nobre AD, Rastetter EB, Grace J, Pereira MGP. 1998. Seasonal variation in net carbon exchange and evapotranspiration in a Brazilian rain forest: a modelling analysis. Plant Cell Environ 21(10):953–68.CrossRefGoogle Scholar
  63. Williams M, Eugster W, Rastetter EB, Mcfadden JP, Chapin Iii FS. 2000. The controls on net ecosystem productivity along an Arctic transect: a model comparison with flux measurements. Glob Change Biol 6(S1):116–26.CrossRefGoogle Scholar
  64. Williams M, Law BE, Anthoni PM, Unsworth MH. 2001a. Use of a simulation model and ecosystem flux data to examine carbon-water interactions in Ponderosa pine. Tree Phys 21:287–98.CrossRefGoogle Scholar
  65. Williams M, Rastetter EB, Shaver GR, Hobbie JE, Carpino E, Kwiatkowski B. 2001b. Primary production of an Arctic watershed: an uncertainty analysis. Ecol Appl 11(6):1800–16.CrossRefGoogle Scholar
  66. Wilson K, Goldstein A, Falge E, Aubinet M, Baldocchi D, Berbigier P, Bernhofer C, Ceulemans R, Dolman H, Field C, Grelle A, Ibrom A, Law BE, Kowalski A, Meyers T, Moncrieff J, Monson R, Oechel W, Tenhunen J, Verma S, Valentini R. 2002. Energy balance closure at FLUXNET sites. Agric For Meteorol 113:223–43.CrossRefGoogle Scholar
  67. Winkworth RE. 1973. Eco-physiology of Mulga (Acacia aneura). Tropic Grassl 7(1):43–8.Google Scholar
  68. Wohlfahrt G, Fenstermaker LF, Arnone JA. 2008. Large annual net ecosystem CO2 uptake of a Mojave desert ecosystem. Glob Change Biol 14:1475–87.CrossRefGoogle Scholar
  69. Wu H, Rykiel EJ Jr, Hatton T, Walker J. 1994. An integrated rate methodology (IRM) for multi-factor growth rate modelling. Ecol Model 73:97–116.CrossRefGoogle Scholar
  70. Yan LM, Chen SP, Huang JH, Lin GH. 2011. Water regulated effects of photosynthetic substrate supply on soil respiration in a semiarid steppe. Glob Change Biol 17:1990–2001.CrossRefGoogle Scholar
  71. Zeppel M, Macinnis-Ng C, Palmer A, Taylor D, Whitley R, Fuentes S, Yunusa I, Williams M, Eamus D. 2008. An analysis of the sensitivity of sap flux to soil and plant variables assessed for an Australian woodland using a soil–plant–atmosphere model. Funct Plant Biol 35(6):509–20.CrossRefGoogle Scholar
  72. Zhang L, Dawes WR (Eds). 1998. WAVES-an integrated energy and water balance model. Technical Report No. 31/98, CSIRO Land and Water, Canberra, Australia.Google Scholar
  73. Zhang L, Dawes WR, Hatton TJ. 1996. Modelling hydrologic processes using a biophysically based model application of WAVES to FIFE and HAPEX-MOBILHY. J Hydrol 185:147–69.CrossRefGoogle Scholar
  74. Zhang L, Dawes WR, Slavich PG, Meyer WS, Thorburn PJ, Smith DJ, Walker GR. 1999. Growth and ground water uptake responses of lucerne to changes in groundwater levels and salinity: lysimeter, isotope and modelling studies. Agric Water Manag 39(2):265–82.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Chao Chen
    • 1
    • 2
    • 3
  • James Cleverly
    • 1
    • 4
  • Lu Zhang
    • 5
  • Qiang Yu
    • 1
  • Derek Eamus
    • 1
    • 4
    • 6
  1. 1.School of the EnvironmentUniversity of Technology SydneyUltimoAustralia
  2. 2.National Centre for Groundwater Research and Training (NCGRT), School of EnvironmentFlinders UniversityAdelaideAustralia
  3. 3.CSIRO Agriculture FlagshipWembleyAustralia
  4. 4.Australian Supersite Network, Terrestrial Ecosystem Research NetworkUniversity of Technology SydneyUltimoAustralia
  5. 5.CSIRO Land and WaterCSIRO Water for a Healthy Country National Research FlagshipCanberraAustralia
  6. 6.National Centre for Groundwater Research and TrainingUniversity of Technology SydneyUltimoAustralia

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