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Interacting effects of vegetation, soils and management on the sensitivity of Australian savanna rangelands to climate change

Climatic Change volume 112, pages 925–943 (2012)Cite this article

Abstract

There is an increasing need to understand what makes vegetation at some locations more sensitive to climate change than others. For savanna rangelands, this requires building knowledge of how forage production in different land types will respond to climate change, and identifying how location-specific land type characteristics, climate and land management control the magnitude and direction of its responses to change. Here, a simulation analysis is used to explore how forage production in 14 land types of the north-eastern Australian rangelands responds to three climate change scenarios of +3°C, +17% rainfall; +2°C, −7% rainfall; and +3°C, −46% rainfall. Our results demonstrate that the controls on forage production responses are complex, with functional characteristics of land types interacting to determine the magnitude and direction of change. Forage production may increase by up to 60% or decrease by up to 90% in response to the extreme scenarios of change. The magnitude of these responses is dependent on whether forage production is water or nitrogen (N) limited, and how climate changes influence these limiting conditions. Forage production responds most to changes in temperature and moisture availability in land types that are water-limited, and shows the least amount of change when growth is restricted by N availability. The fertilisation effects of doubled atmospheric CO2 were found to offset declines in forage production under 2°C warming and a 7% reduction in rainfall. However, rising tree densities and declining land condition are shown to reduce potential opportunities from increases in forage production and raise the sensitivity of pastures to climate-induced water stress. Knowledge of these interactions can be applied in engaging with stakeholders to identify adaptation options.

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References

  • Ainsworth EA, Long SP (2005) What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytol 165:351–372

    Article  Google Scholar 

  • Ash AJ, McIvor JG, Corfield JP, Winter WH (1995) How land condition alters plant-animal relationships in Australia’s tropical rangelands. Agr Ecosyst Environ 56:77–92

    Article  Google Scholar 

  • Baker BB, Hanson JD, Bourbon RM, Eckert JB (1993) The potential effects of climate change on ecosystems processes and cattle production on U.S. rangelands. Climatic Change 25:97–117.

    Article  Google Scholar 

  • Barbehenn RV, Chen Z, Karowe DN, Spickards A (2004) C3 grasses have higher nutritional quality than C4 grasses under ambient and elevated atmospheric CO2. Global Change Biol 10:1565–1575

    Article  Google Scholar 

  • Bureau of Meteorology (2010) Australian government bureau of meteorology climate maps. Online resource: http://www.bom.gov.au/climate/averages/maps.shtml. Accessed 12 April 2010

  • Bond WJ, Midgley GF (2000) A proposed CO2-controlled mechanism of woody plant invasion in grasslands and savannas. Global Change Biol 6:865–869

    Article  Google Scholar 

  • Carter J, Flood N, Danaher T, Hugman P, Young R, Duncalf F, Barber D, Flavel R, Beeston G, Mlodawski G, Hart D, Green D, Richards R, Dudgeon G, Dance R, Brock D, Petty D (1996) Development of a national drought alert strategic information system: development of data rasters for model inputs, Final Report on QPI 30 to Land and Water Resources Research and Development Corporation

  • Christensen L, Coughenour MB, Ellis JE, Chen ZZ (2004) Vulnerability of the Asian typical steppe to grazing and climate change. Clim Change 63:351–368

    Article  Google Scholar 

  • Cobiac MD (2007) Predicting native pasture growth in the Victoria River District of the Northern Territory. Dissertation, The University of Adelaide

  • Crimp SJ, Flood NR, Carter JO, Conroy JP, McKeon GM (2002) Evaluation of the potential impacts of climate change on native pasture production—implications for livestock carrying capacity. Australian Greenhouse Office, Canberra

    Google Scholar 

  • Crimp SJ, Day KA (2003) Evaluation of multi-decadal variability in rainfall in Queensland using indices of El Niño-Southern Oscillation and inter-decadal variability. National Drought Forum 2003: science for drought. Commonwealth Bureau of Meteorology, Melbourne, pp 106–114

    Google Scholar 

  • CSIRO-BoM (2007) Climate Change in Australia. In: Pearce K, Holper P, Hopkina M, Bouma W, Whetton P, Hennessy K, Power S (ed). Technical Report 2007. CSIRO Marine and Atmospheric Research, Aspendale

  • Cullen BR, Johnson IR, Eckard RJ, Lodge GM, Walker RG, Rawnsley RP, McCaskill MR (2009) Climate change effects on pasture systems in South-Eastern Australia. Crop Pasture Sci 60:933–942

    Article  Google Scholar 

  • Day KA, McKeon GM, Carter JO (1997) Evaluating the risks of pasture and land degradation in native pastures in Queensland. Final Report for the Rural Industries Research and Development Corporation project DAQ124A. Queensland Department of Natural Resources, Brisbane, p 71

    Google Scholar 

  • DPI&F (2009) Land types of Queensland, version 1.2. Queensland Department of Primary Industries and Fisheries. CD Rom. Available: http://www.dpi.qld.gov.au/27_13350.htm. Accessed 24 February 2010

  • Friedel MH, Pickup G, Nelson DJ (1993) The interpretation of vegetation change in a spatially and temporally diverse arid Australian landscape. J Arid Environ 24:241–260

    Article  Google Scholar 

  • Fuhrer J (2003) Agroecosystem responses to combinations of elevated CO2, ozone, and global climate change. Agr Ecosyst Environ 97:1–20

    Article  Google Scholar 

  • Hall WB, McKeon GM, Carter JO, Day KA, Howden SM, Scanlan JC, Jonston PW, Burrows WH (1998) Climate change in Queensland’s grazing lands: II. An assessment of the impact on animal production from native pastures. Rangeland J 20:177–205

    Article  Google Scholar 

  • Harle KJ, Howden SM, Hunt LP, Dunlop M (2007) The potential impact of climate change on the Australian wool industry by 2030. Agr Syst 93:61–89

    Article  Google Scholar 

  • Hassett RC, Wood HL, Carter JO, Danaher TJ (2000) A field method for statewide ground-truthing of a spatial pasture growth model. Aust J Exp Agr 40:1069–1079

    Article  Google Scholar 

  • Heisler-White JL, Blair JM, Kelly EF, Harmoney K, Knapp AK (2009) Contingent productivity responses to more extreme rainfall regimes across a grassland biome. Global Change Biol 15:2894–2904

    Article  Google Scholar 

  • Howden SM, McKeon GM, Carter JO, Beswick A (1999). Potential global change impacts on C3–C4 grass distributions in eastern Australian rangelands. In: Eldridge D, Freudenberger D (eds), Proceedings of the VI International Rangeland Congress, Townsville, Queensland, Australia, pp 41–43

  • Howden SM, McKeon GM, Walker L, Carter JO, Conroy JP, Day KA, Hall WB, Ash AJ, Ghannoum O (1999b) Global change impacts on native pastures in South-East Queensland, Australia. Environ Model Software 14:307–316

    Article  Google Scholar 

  • Howden SM, Moore JL, McKeon GM, Carter JO (2001) Global change and the mulga woodlands of southwest Queensland: greenhouse gas emissions, impacts, and adaptation. Environ Int 27:161–166

    Article  Google Scholar 

  • Howden SM, Soussana JF, Tubiello FN, Chhetri N, Dunlop M, Meinke H (2007) Adapting agriculture to climate change. Proc Natl Acad Sci USA 104:19691–19696

    Article  Google Scholar 

  • Howden SM, Crimp SJ, Stokes CJ (2008) Climate change and Australian livestock systems: impacts, research and policy issues. Aust J Exp Agr 48:780–788

    Article  Google Scholar 

  • Hunt LP (2008) Safe pasture utilisation rates as a grazing management tool in extensively grazed tropical savannas of northern Australia. Rangeland J 30:305–315

    Article  Google Scholar 

  • IPCC (2007) Climate Change 2007: the physical science basis. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Contribution of Working Group 1 to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 1–17

    Google Scholar 

  • Jeffrey SJ, Carter JO, Moodie KB, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ Model Assess 16:309–330

    Google Scholar 

  • Karfs R, Holloway C, Pritchard K, Resing J (2009) Land condition photo standards for the Burdekin dry tropics rangelands: a guide for practitioners. Burdekin Solutions Ltd and Queensland Department of Primary Industries and Fisheries, Townsville

    Google Scholar 

  • Littleboy M, McKeon GM (1997) Appendix 2—Subroutine GRASP: grass production model. Documentation of the Marcoola version of subroutine GRASP. In: Final Project Report DAQ124A, for the Rural Industries Research and Development Corporation

  • MacLeod ND, Ash AJ, McIvor JG (2004) An economic assessment of the impact of grazing land condition on livestock performance in tropical woodlands. Rangeland J 26:49–71

    Article  Google Scholar 

  • McAlpine CA, Syktus J, Ryan JG, Deo RC, McKeon GM, McGowan HA, Phinn SR (2009) A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia’s climate. Global Change Biol 15:2206–2223

    Article  Google Scholar 

  • McBride JL, Nicholls N (1983) Seasonal relationships between Australian rainfall and the southern oscillation. Mon Weather Rev 111:1998–2004

    Article  Google Scholar 

  • McIvor JG, Ash AJ, Cook GD (1995) Land condition in the tropical tallgrass pasture lands 1. Effects on herbage production. Rangeland J 17:69–85

    Article  Google Scholar 

  • McKeon GM, Ash AJ, Hall W, Stafford Smith DS (2000) Simulation of grazing strategies for beef production in North-East Queensland. In: Hammer GL, Nicholls N, Mitchell C (eds) Applications of seasonal climate forecasting in agricultural and natural ecosystems. Kluwer, Dordrecht, pp 227–252

    Google Scholar 

  • McKeon GM, Hall WB, Henry BK, Stone GS, Watson IW (2004) Pasture degradation and recovery in Australia’s rangelands: learning from History. Queensland Department of Natural Resources, Mines and Energy, Brisbane

    Google Scholar 

  • McKeon GM, Stone GS, Syktus JI, Carter JO, Flood NR, Fraser GW, Aherns DG, Bruget DN, Crimp SJ, Cowley RA, Johnston PW, Stokes CJ, Cobon DH, Ryan JG, Day KA, Chilcott CR, Howden SM (2009) Climate change impacts on northern Australian rangeland livestock carrying capacity: a review of issues. Rangeland J 31:1–29

    Article  Google Scholar 

  • MLA (2010) Improving grazing management using the GRASP Model, Final Report NBP.338. Meat & Livestock Australia Limited, North Sydney

  • Noble JC (1997) The delicate and noxious scrub: CSIRO studies on native tree and shrub proliferation in the semi-arid woodlands of Eastern Australia. CSIRO Publishing, Lyneham

    Google Scholar 

  • Nowak RS, Ellsworth DS, Smith SD (2004) Functional responses of plants to elevated atmospheric CO2—do photosynthetic and productivity data from FACE experiments support early predictions? New Phytol 162:253–280

    Article  Google Scholar 

  • Pan Y, McGuire AD, Kicklighter DW, Melillo JM (1996) The importance of climate and soils for estimates of net primary production: a sensitivity analysis with the terrestrial ecosystem model. Global Change Biol 2:5–23

    Article  Google Scholar 

  • Parry ML, Rosenzweig C, Iglesias A, Livermore M, Fischer G (2004) Effects of climate change on global food production under SRES emissions and socio-economic scenarios. Global Environ Change-Hum Dimens Wildl 14:53–67

    Article  Google Scholar 

  • Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644

    Article  Google Scholar 

  • Perring MP, Cullen BR, Johnson IR, Hovenden MJ (2010) Modelled effects of rising CO2 concentration and climate change on native perennial grass and sown grass-legume pastures. Clim Res 42:65–78

    Article  Google Scholar 

  • Power S, Casey T, Folland C, Colman A, Mehta V (1999) Inter-decadal modulation of the impact of ENSO on Australia. Clim Dyn 15:319–324

    Article  Google Scholar 

  • Rayner DP (2007) Wind run changes: the dominant factor affecting pan evaporation trends in Australia. J Clim 20:3379–3394

    Article  Google Scholar 

  • Rickert KG, Stuth JW, McKeon GM (2000) Modelling pasture and animal production. In: ‘t Mannetje L, Jones RM (eds) Field and laboratory methods for grassland and animal production research. CAB International, Wallingford, pp 29–65

    Chapter  Google Scholar 

  • Riedo M, Gyalistras D, Grub A, Rosset M, Fuhrer J (1997) Modelling grassland responses to climate change and elevated CO2. Acta Oecol-Int J Ecol 18:305–311

    Article  Google Scholar 

  • Riedo M, Gyalistras D, Fischlin A, Fuhrer J (1999) Using an ecosystem model linked to GCM-derived local weather scenarios to analyse effects of climate change and elevated CO2 on dry matter production and partitioning, and water use in temperate managed grasslands. Global Change Biol 5:213–223

    Article  Google Scholar 

  • Roumet C, Bel MP, Sonie L, Jardon F, Roy J (1996) Growth response of grasses to elevated CO2: a physiological plurispecific analysis. New Phytol 133:595–603

    Article  Google Scholar 

  • Rounsevell MDA, Evans SP, Bullock P (1999) Climate change and agricultural soils: impacts and adaptation. Clim Change 43:683–709

    Article  Google Scholar 

  • Scanlan JC (2002) Some aspects of tree-grass dynamics in Queensland’s grazing lands. Rangeland J 24:56–82

    Article  Google Scholar 

  • Sivakumar MVK, Das HP, Brunini O (2005) Impacts of present and future climate variability and change on agriculture and forestry in the arid and semi-arid tropics. Clim Change 70:31–72

    Article  Google Scholar 

  • Sturman A, Tapper N (2001) The weather and climate of Australia and New Zealand. Oxford University Press, Melbourne

    Google Scholar 

  • Taub DR, Wang X (2008) Why are nitrogen concentrations in plant tissues lower under elevated CO2? A critical examination of the hypotheses. J Integr Plant Biol 50:1365–1374

    Article  Google Scholar 

  • Tubiello FN, Soussana J-F, Howden SM (2007) Crop and pasture response to climate change. Proc Aust Soc Anim Prod 104:19686–19690

    Google Scholar 

  • Wand SJE, Midgley GF, Jones MH, Curtis PS (1999) Responses of wild C4 and C3 grass (Poaceae) species to elevated atmospheric CO2 concentration: a meta-analytic test of current theories and perceptions. Global Change Biol 5:723–741

    Article  Google Scholar 

  • White N, Sutherst RW, Hall N, Whish-Wilson P (2003) The vulnerability of the Australian beef industry to impacts of the cattle tick (Boophilus microplus) under climate change. Clim Change 61:157–190

    Article  Google Scholar 

  • Xiao X, Ojima DS, Parton WJ, Chen Z, Chen D (1995) Sensitivity of Inner Mongolia grasslands to climate change. J Biogeogr 22:643–648

    Article  Google Scholar 

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Acknowledgements

We acknowledge the support of Greg McKeon and Giselle Whish in providing access to the GRASP model and model parameterisation files. We thank Mark Howden, Andrew Moore and the anonymous reviewers for their comments which have significantly improved the quality of the manuscript. This work was supported in part by the Australian Department of Agriculture, Fisheries and Forestry (DAFF) Climate Change Research Program.

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Authors and Affiliations

  1. CSIRO Climate Adaptation Flagship and CSIRO Ecosystem Sciences, PMB PO, Aitkenvale, QLD, 4810, Australia

    Nicholas P. Webb & Chris J. Stokes

  2. Department of Employment, Economic Development and Innovation, 203 Tor St, Wilsonton, QLD, 4350, Australia

    Joe C. Scanlan

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  1. Nicholas P. Webb
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  2. Chris J. Stokes
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Correspondence to Nicholas P. Webb.

Electronic supplementary material

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Online Resource 1

Land type functional characteristics used to parameterise the GRASP model to represent 14 land types across the Queensland rangelands and to interpret drivers of the sensitivity of forage production to climate change. (PDF 9.23 kb)

Online Resource 2

Scatter plots showing the influence of factors related to land types on percentage changes in simulated mean annual forage production under different climate change scenarios. Shown are the effects of land type differences in (a) land type transpiration efficiencies under the hotter and wetter climate change scenario (HW); (b) total maximum plant available soil water (MPAW) under the warmer and drier scenario (WD); and (c) maximum potential pasture yield under the hotter and drier scenario (HD). The boxes in part (b) highlight differences in the land type functional characteristics separating the outliers from land types with similar total MPAW. Note that the scale of the Y-axis differs among panels. (PDF 226 kb)

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Webb, N.P., Stokes, C.J. & Scanlan, J.C. Interacting effects of vegetation, soils and management on the sensitivity of Australian savanna rangelands to climate change. Climatic Change 112, 925–943 (2012). https://doi.org/10.1007/s10584-011-0236-0

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  • DOI: https://doi.org/10.1007/s10584-011-0236-0

Keywords

  • Climate Change Scenario
  • Vapour Pressure Deficit
  • Climate Sensitivity
  • Land Type
  • Climate Type