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RESEARCH ARTICLE

Northern Australian pasture and beef systems. 1. Net carbon position

Steven Bray A D , Natalie Doran-Browne B and Peter O’Reagain C
+ Author Affiliations
- Author Affiliations

A Department of Agriculture, Fisheries and Forestry, PO Box 6014, Rockhampton, Qld 4702, Australia.

B Melbourne School of Land and Environment, The University of Melbourne, Vic. 3010, Australia.

C Department of Agriculture, Fisheries and Forestry, PO Box 976, Charters Towers, Qld 4820, Australia.

D Corresponding author. Email: steven.bray@daff.qld.gov.au

Animal Production Science 54(12) 1988-1994 https://doi.org/10.1071/AN14604
Submitted: 29 May 2014  Accepted: 27 July 2014   Published: 20 October 2014

Abstract

The beef industry in northern Australia manages ~15 million cattle, grazed on 250 million hectares of grassland and savanna woodland. The large size of the beef industry results in significant quantities of greenhouse gases being emitted to the atmosphere through ruminant livestock enteric methane production. However, livestock emissions are only one component of the carbon cycle in which grazing businesses operate. Livestock grazing also affects carbon stocks and fluxes in pasture, woody vegetation, soil and from fire through the consumption of forage and other landscape impacts. Little knowledge is available on the impact of different grazing management strategies on the ‘net carbon position’ incorporating carbon stocks and greenhouse gas emissions when grazing savanna woodlands. The Wambiana grazing trial in northern Queensland, Australia, provides an opportunity to assess carbon stocks and greenhouse gas emissions (reported as t CO2-e) associated with livestock, pasture, woody vegetation, soil and fire under alternative grazing management strategies (moderate and heavy stocking rate) over a 16-year period. The results indicate that tree biomass and woody vegetation dynamics dominate the carbon stocks and fluxes in grazed savanna woodlands. During the trial, both moderate and heavy stocking rate treatments had a positive net carbon balance, with the moderate stocking rate treatment having a better ‘net carbon position’ (19 t CO2-e per ha) than the heavy stocking rate treatment (9 t CO2-e per ha), primarily due to less livestock emissions and greater pasture biomass and soil C. These results add to the previously published benefits on land condition and economic return of grazing at moderate stocking rates, compared with heavy stocking rates.

Additional keywords: sequestration, sustainable grazing.


References

ABS (2014) ‘Land management and farming in Australia, 2012–13.’ Available at http://www.abs.gov.au/ausstats/abs@.nsf/mf/4627.0 [Verified 18 July 2014]

Allen DE, Pringle MJ, Bray S, Hall TJ, O’Reagain PO, Phelps D, Cobon DH, Bloesch PM, Dalal RC (2013) What determines soil organic carbon stocks in the grazing lands of north-eastern Australia? Soil Research 51, 695–706.
What determines soil organic carbon stocks in the grazing lands of north-eastern Australia?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhvF2ktbbM&md5=1655fa5bee30ab8fa986ce9c94ebff76CAS |

Back PV (2005) The impact of fire on population density and canopy area of currant bush (Carissa ovata) in central Queensland and its implications for grazed woodland management. Tropical Grasslands 39, 65–74.

Back PV, Anderson ER, Burrows WH, Kennedy MJJ, Carter JO (1997) ‘TRAPS – transect recording and processing system.’ (Department of Primary Industries: Rockhampton, Qld)

Back PV, Anderson ER, Burrows WH, Playford C (2009) Research note: poplar box (Eucalyptus populnea) growth rates in thinned and intact woodlands in central Queensland. Tropical Grasslands 43, 188–190.

Bastin G 2008 ‘Rangelands 2008. Taking the pulse.’ (ACRIS Management Committee, National Land and Water Resources Audit: Canberra)

Bray SG, Golden R (2009) Scenario analysis of alternative vegetation management options on the greenhouse gas budget of two grazing businesses in north eastern Australia. The Rangeland Journal 31, 137–142.
Scenario analysis of alternative vegetation management options on the greenhouse gas budget of two grazing businesses in north eastern Australia.Crossref | GoogleScholarGoogle Scholar |

Bray S, Willcocks J (2009) ‘Net carbon position of the Queensland beef industry.’ (Department of Employment, Economic Development and Innovation: Brisbane Qld)

Bray SG, Krull ES, Harms BP, Baxter N, Rutherford M, Yee M, Cogle L (2006) Assessment of vegetation change in the Burdekin Catchment of Queensland – project report. No. QI06091. Department of Primary Industries and Fisheries, Rockhampton, Qld.

Bray SG, Liedloff AC, Sim AK, Back PV, Cook GD, Hoffmann MB (2007) Comparison of woody vegetation change datasets from the grazed woodlands of central Queensland, Northern Beef Research Update Conference, Townsville. (Eds B Pattie, B Restall) pp. 70–77. (North Australia Beef Research Council: Park Ridge, Qld)

Bray S, Harms B, Fraser G, Rutherford M (2010) Assessment of soil carbon stocks in response to land condition in Queensland’s northern grazing land: Appendix A. In ‘Keys to healthy savanna lands. Final report’. (Ed. K Broad) pp. 21–47. (Department of Employment, Economic Development and Innovation: Kairi, Qld)

Burrows WH, Henry BK, Back PV, Hoffmann MB, Tait LJ, Anderson ER, Menke N, Danaher T, Carter JO, McKeon GM (2002) Growth and carbon stock change in eucalypt woodlands in northeast Australia: ecological and greenhouse sink implications. Global Change Biology 8, 769–784.
Growth and carbon stock change in eucalypt woodlands in northeast Australia: ecological and greenhouse sink implications.Crossref | GoogleScholarGoogle Scholar |

Charmley E, Stephens ML, Kennedy PM (2008) Predicting livestock productivity and methane emissions in northern Australia: development of a bio-economic modelling approach. Australian Journal of Experimental Agriculture 48, 109–113.
Predicting livestock productivity and methane emissions in northern Australia: development of a bio-economic modelling approach.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXovV2i&md5=2b5877cca68b4381554a90036b8a90cdCAS |

Cullen BR, Timms M, Eckard R, Mitchell RA, Whip P, Phelps D (2013) The effect of earlier mating and improving fertility on emissions intensity of beef production in a northern Australian herd. In ‘Proceedings of the 5th international greenhouse gas and animal agriculture conference (GGAA 2013). 23–26 June 2013, Dublin, Ireland’. Advances in Animal Biosciences Vol. 4, Part 2. p. 403. (Cambridge University Press)

DAFF (2012) Blanncourt Station – productivity and profitability gains through efficient herd management. Available at http://futurebeef.com.au/wp-content/uploads/Blanncourt_CS_web.pdf [Verified 29 May 2014]

DIICCSRTE (2013) Australian national greenhouse accounts. National Inventory Report 2011. Department of Industry, Innovation, Climate Change, Science, Research and Tertiary Education, Canberra. Available at http://www.climatechange.gov.au/sites/climatechange/files/documents/05_2013/AUS_NIR_2011_Vol1.pdf [Verified 6 September 2014]

Doran-Browne NA, Bray SG, Johnson IR, O’Reagain PJ, Eckard RJ (2014) Northern Australian pasture and beef systems. 2. Validation and use of the Sustainable Grazing Systems (SGS) whole-farm biophysical model. Animal Production Science 54, 1995–2002.
Northern Australian pasture and beef systems. 2. Validation and use of the Sustainable Grazing Systems (SGS) whole-farm biophysical model.Crossref | GoogleScholarGoogle Scholar |

Eady S, Viner J, MacDonnell J (2011) On-farm greenhouse gas emissions and water use: case studies in the Queensland beef industry. Animal Production Science 51, 667–681.
On-farm greenhouse gas emissions and water use: case studies in the Queensland beef industry.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXpvVOhtrk%3D&md5=ca78dbd3b808db9d9d4d03ac7309040cCAS |

Fensham RJ, Holman JE (1999) Temporal and spatial patterns in drought-related tree dieback in Australian savanna. Journal of Applied Ecology 36, 1035–1050.
Temporal and spatial patterns in drought-related tree dieback in Australian savanna.Crossref | GoogleScholarGoogle Scholar |

Fensham RJ, Low Choy SJ, Fairfax RJ, Cavallaro PC (2003) Modelling trends in woody vegetation structure in semi-arid Australia as determined from aerial photography. Journal of Environmental Management 68, 421–436.
Modelling trends in woody vegetation structure in semi-arid Australia as determined from aerial photography.Crossref | GoogleScholarGoogle Scholar | 12877875PubMed |

Garnett T (2009) Livestock-related greenhouse gas emissions: impacts and options for policy makers. Environmental Science & Policy 12, 491–503.
Livestock-related greenhouse gas emissions: impacts and options for policy makers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXmslCitLY%3D&md5=6eda59d232ee372c3c5026d28b28d2cdCAS |

Grice AC, Radford IJ, Abbott BN (2000) Regional and landscape-scale patterns of shrub invasion in tropical savannas. Biological Invasions 2, 187–205.
Regional and landscape-scale patterns of shrub invasion in tropical savannas.Crossref | GoogleScholarGoogle Scholar |

Grosenbaugh LR (1952) Plotless timber estimates – new, fast, easy. Journal of Forestry 50, 32–37.

Hristov AN, Ott T, Tricarico J, Rotz A, Waghorn G, Adesogan A, Dijkstra J, Montes F, Oh J, Kebreab E, Oosting SJ, Gerber PJ, Henderson B, Makkar HPS, Firkins JL (2013) SPECIAL TOPICS – Mitigation of methane and nitrous oxide emissions from animal operations: III. A review of animal management mitigation options. Journal of Animal Science 91, 5095–5113.
SPECIAL TOPICS – Mitigation of methane and nitrous oxide emissions from animal operations: III. A review of animal management mitigation options.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhslKktrvJ&md5=843efbea29f3d9ff1a8b700d4dea6813CAS | 24045470PubMed |

Johnson KA, Johnson DE (1995) Methane emissions from cattle. Journal of Animal Science 73, 2483–2492.

Krull EG, Bray SS (2005) Assessment of vegetation change and landscape variability by using stable carbon isotopes of soil organic matter. Australian Journal of Botany 53, 651–661.
Assessment of vegetation change and landscape variability by using stable carbon isotopes of soil organic matter.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXht1GqsL7P&md5=d207de4a4b4cde380af91be897b41250CAS |

Krull E, Bray S, Harms B, Baxter N, Bol R, Farquher G (2007) Development of a stable isotope index to assess decadal-scale vegetation change and application to woodlands of the Burdekin catchment, Australia. Global Change Biology 13, 1455–1468.
Development of a stable isotope index to assess decadal-scale vegetation change and application to woodlands of the Burdekin catchment, Australia.Crossref | GoogleScholarGoogle Scholar |

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

McLean I, Holmes P, Counsell D (2014) The northern beef report 2013. Northern beef situation analysis. Meat and Livestock Australia, Sydney.

MLA (2013) ‘Australia’s beef industry – fast facts 2013.’ Available at http://www.mla.com.au/Cattle-sheep-and-goat-industries/Industry-overview/Cattle [Verified 22 May 2014]

O’Reagain P, Bushell J (2013) Managing for a variable environment: long term results from the Wambiana grazing trial. In ‘Proceedings of the northern beef research update conference, Cairns. 12–15 August, 2013’. (Eds E Charmley, I Watson) pp. 55–60. (The North Australia Beef Research Council: Cairns, Qld)

O’Reagain P, Bushell J, Holloway C, Reid A (2009) Managing for rainfall variability: effect of grazing strategy on cattle production in a dry tropical savanna. Animal Production Science 49, 85–99.
Managing for rainfall variability: effect of grazing strategy on cattle production in a dry tropical savanna.Crossref | GoogleScholarGoogle Scholar |

O’Reagain P, Bushell J, Holmes B (2011) Managing for rainfall variability: long-term profitability of different grazing strategies in a northern Australian tropical savanna. Animal Production Science 51, 210–224.
Managing for rainfall variability: long-term profitability of different grazing strategies in a northern Australian tropical savanna.Crossref | GoogleScholarGoogle Scholar |

Pringle MJ, Allen DE, Dalal RC, Payne JE, Mayer DG, O’Reagain P, Marchant BP (2011) Soil carbon stock in the tropical rangelands of Australia: effects of soil type and grazing pressure, and determination of sampling requirement. Geoderma 167–168, 261–273.
Soil carbon stock in the tropical rangelands of Australia: effects of soil type and grazing pressure, and determination of sampling requirement.Crossref | GoogleScholarGoogle Scholar |

Queensland Government (2013) ‘Reef water quality protection plan 2013. Queensland.’ Available at http://www.reefplan.qld.gov.au/resources/assets/reef-plan-2013.pdf [Verified 5 September 2014]

Rolfe J (2010) Economics of reducing methane emissions from beef cattle in extensive grazing systems in Queensland. The Rangeland Journal 32, 197–204.
Economics of reducing methane emissions from beef cattle in extensive grazing systems in Queensland.Crossref | GoogleScholarGoogle Scholar |

Scanlan JC, MacLeod ND, O’Reagain PJ (2013) Scaling results up from a plot and paddock scale to a property – a case study from a long-term grazing experiment in northern Australia. The Rangeland Journal 35, 193–200.
Scaling results up from a plot and paddock scale to a property – a case study from a long-term grazing experiment in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Segoli M, Bray S, Allen D, Dalal R, Watson I, Ash A, O’Reagain P (2014) Managing cattle for sustainable soil properties: interactions between stocking rates and rainfall. In ‘Soil change matters’. Bendigo, Victoria, Australia’. pp. 139–143. (Ed. Department of Environment and PrimaryIndustries, Victoria)

Tothill JC, Hargreaves JNG, Jones RM, McDonald CK (1992) BOTANAL – a comprehensive sampling and computing procedure for estimating pasture yield and composition. 1. Field sampling. Tropical Agronomy Technical Memorandum 78,