Comparing the climate experienced during the Cicerone farmlet experiment against the climatic record
K. Behrendt A E , J. M. Scott B , D. F. Mackay C and R. Murison DA Graham Centre for Agricultural Innovation (NSW Department of Primary Industries and Charles Sturt University), School of Agricultural and Wine Science, Charles Sturt University, Orange, NSW 2800, Australia.
B School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
C 3 Jayne Close, Armidale, NSW 2350, Australia.
D School of Science and Technology, University of New England, Armidale, NSW 2351, Australia.
E Corresponding author. Email: kbehrendt@csu.edu.au
Animal Production Science 53(8) 658-669 https://doi.org/10.1071/AN12300
Submitted: 22 August 2012 Accepted: 13 June 2013 Published: 10 July 2013
Journal Compilation © CSIRO Publishing 2013 Open Access CC BY-NC-ND
Abstract
Farming systems research conducted under dryland conditions is subject to the vagaries of the climate during the experimental period. Whether such an experiment experiences a representative series of climatic years must be examined in relation to the longer term climatic record. The Cicerone Project’s farmlet experiment was conducted on the Northern Tablelands of New South Wales, Australia, to investigate the profitability and sustainability of three different management systems: one managed under typical, moderate-input conditions (farmlet B); a second which employed a higher level of pasture inputs and soil fertility (farmlet A); and a third which focussed on the use of moderate inputs and intensive rotational grazing (farmlet C).
The climate experienced during the 6.5-year experimental period was compared with the 118-year climatic record, using a biophysical simulation model of grazed systems. The model utilised the long-term daily climate data as inputs and provided outputs that allowed comparison of parameters known to affect grazed pastures. Modelled soil-available water, the number of soil moisture stress days (SMSDs) limiting pasture growth, and growth indices over the experimental period (2000–06) were compared with data over the climatic record from 1890 to 2007. SMSDs were defined as when the modelled available soil moisture to a depth of 300 mm was <17% of water-holding capacity. In addition, minimum temperatures and, in particular, the frequency of frosts, were compared with medium-term (1981–2011) temperature records.
Wavelet transforms of rainfall and modelled available soil water data were used to separate profile features of these parameters from the noise components of the data. Over the experimental period, both rainfall and available soil water were more commonly significantly below than above the 95% confidence intervals of both parameters. In addition, there was an increased frequency of severe frosting during the dry winters experienced over the 6.5-year period. These dry and cold conditions were likely to have limited the responses to the pasture and grazing management treatments imposed on the three farmlets. In particular, lower than average levels of available soil water were likely to have constrained pasture production, threatened pasture persistence, and reduced the response of the pasture to available soil nutrients and, as a consequence, livestock production and economic outcomes.
Ideally, dryland field experimentation should be conducted over a representative range of climatic conditions, including soil moisture conditions both drier and wetter than average. The drier than average conditions, combined with a higher than normal frequency of severe frosts, mean that the results from the Cicerone Project’s farmlet experiment need to be viewed in the context of the climate experienced over this 6.5-year period.
Additional keywords: available soil moisture, climate variability, farming systems research, growth indices, soil moisture stress days.
References
Anon. (2006) ‘AusFarm: A tutorial.’ (CSIRO Plant Industry: Canberra)Auld BA, Medd RW (1987) ‘Weeds: An illustrated botanical guide to the weeds of Australia.’ (Inkata Press Pty Ltd: Melbourne)
Behrendt K (2008) Bioeconomics of pasture resource development in sheep production systems. PhD thesis. University of New England, NSW.
Behrendt K, Cacho O, Scott JM, Jones R (2013a) Optimising pasture and grazing management decisions on the Cicerone Project farmlets over variable time horizons. Animal Production Science 53, 796–805.
| Optimising pasture and grazing management decisions on the Cicerone Project farmlets over variable time horizons.Crossref | GoogleScholarGoogle Scholar |
Behrendt K, Scott JM, Cacho O, Jones R (2013b) Simulating the impact of fertiliser strategies and prices on the economics of developing and managing the Cicerone Project farmlets under climatic uncertainty. Animal Production Science 53, 806–816.
| Simulating the impact of fertiliser strategies and prices on the economics of developing and managing the Cicerone Project farmlets under climatic uncertainty.Crossref | GoogleScholarGoogle Scholar |
Boschma SP, Scott JM (2000) Measuring and predicting the consequences of drought for a range of perennial grasses on the Northern Tablelands of New South Wales. Australian Journal of Experimental Agriculture 40, 285–297.
| Measuring and predicting the consequences of drought for a range of perennial grasses on the Northern Tablelands of New South Wales.Crossref | GoogleScholarGoogle Scholar |
Bryant JR, Snow V (2008) Modelling pastoral farm agro-ecosystems: a review. New Zealand Journal of Agricultural Research 51, 349–363.
| Modelling pastoral farm agro-ecosystems: a review.Crossref | GoogleScholarGoogle Scholar |
Bureau of Meteorology (2011) S.O.I. (Southern Oscillation Index) Archives – 1876 to present. Bureau of Meteorology. Available at http://www.bom.gov.au/climate/current/soihtm1.shtml [Verified 24 June 2013]
Carberry PM, Hinch GN, Scott JM (2005) New England climate and its problems for producers. In ‘The Cicerone Farms: under the microscope’. (Ed. JM Scott) pp. 1–4. (The Cicerone Project Inc. and Centre for Sustainable Farming Systems, University of New England: Armidale, NSW)
Cook SJ, Lazenby A, Blair GJ (1976) Comparative responses of Lolium perenne and Bothriochloa macra to temperature, moisture, fertility and defoliation. Australian Journal of Agricultural Research 27, 769–778.
| Comparative responses of Lolium perenne and Bothriochloa macra to temperature, moisture, fertility and defoliation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaE2sXhsFKquw%3D%3D&md5=6fab6774210198ec752c6a51ebead480CAS |
Cottle D, Gaden CA, Hoad J, Lance D, Smith J, Scott JM (2013) The effects of pasture inputs and intensive rotational grazing on superfine wool production, quality and income. Animal Production Science 53, 750–764.
| The effects of pasture inputs and intensive rotational grazing on superfine wool production, quality and income.Crossref | GoogleScholarGoogle Scholar |
CSIRO (2007) ‘AusFarm.’ (CSIRO Plant Industry: Canberra, ACT)
Donald GE, Scott JM, Vickery PJ (2013) Satellite derived evidence of whole farmlet and paddock responses to management and climate. Animal Production Science 53, 699–710.
| Satellite derived evidence of whole farmlet and paddock responses to management and climate.Crossref | GoogleScholarGoogle Scholar |
Donnelly JR, Moore AD, Freer M (1997) GRAZPLAN: decision support systems for Australian grazing enterprises-I. Overview of the GRAZPLAN project, and a description of the MetAccess and LambAlive DSS. Agricultural Systems 54, 57–76.
Donnelly JR, Freer M, Salmon L, Moore AD, Simpson RJ, Dove H, Bolger TP (2002) Evolution of the GRAZPLAN decision support tools and adoption by the grazing industry in temperate Australia. Agricultural Systems 74, 115–139.
| Evolution of the GRAZPLAN decision support tools and adoption by the grazing industry in temperate Australia.Crossref | GoogleScholarGoogle Scholar |
Fitzpatrick EA, Nix HA (1975) The climate factor in Australian grassland ecology. In ‘Australian grasslands’. (Ed. RM Moore) pp. 3–26. (A.N.U. Press: Canberra, ACT)
George JM, Vickery PJ, Wilson MA (1977) ‘Meteorological data from the CSIRO Pastoral Research Laboratory, Armidale, N. S.W., 1949–1976.’ (CSIRO: Melbourne)
Guppy CN, Edwards C, Blair GJ, Scott JM (2013) Whole-farm management of soil nutrients drives productive grazing systems: the Cicerone farmlet experiment confirms earlier research. Animal Production Science 53, 649–657.
| Whole-farm management of soil nutrients drives productive grazing systems: the Cicerone farmlet experiment confirms earlier research.Crossref | GoogleScholarGoogle Scholar |
Hinch GN, Hoad J, Lollback M, Hatcher S, Marchant R, Colvin A, Scott JM, Mackay D (2013) Livestock weights in response to three whole-farmlet management systems. Animal Production Science 53, 727–739.
| Livestock weights in response to three whole-farmlet management systems.Crossref | GoogleScholarGoogle Scholar |
Hutchinson KJ, King KL, Wilkinson DR (1995) Effects of rainfall, moisture stress, and stocking rate on the persistence of white clover over 30 years. Australian Journal of Experimental Agriculture 35, 1039–1047.
| Effects of rainfall, moisture stress, and stocking rate on the persistence of white clover over 30 years.Crossref | GoogleScholarGoogle Scholar |
Johnson IR (1997) Climate and pasture production. In ‘Pasture production and management’. (Ed. JS JV Lovett) pp. 17–32. (Inkata Press: Melbourne)
Johnson IR, Lodge GM, White RE (2003) The Sustainable Grazing Systems Pasture Model: description, philosophy and application to the SGS National Experiment. Australian Journal of Experimental Agriculture 43, 711–728.
| The Sustainable Grazing Systems Pasture Model: description, philosophy and application to the SGS National Experiment.Crossref | GoogleScholarGoogle Scholar |
Jones RM, Jones RJ, McDonald CK (1995) Some advantages of long-term grazing trials, with particular reference to changes in botanical composition. Australian Journal of Experimental Agriculture 35, 1029–1038.
| Some advantages of long-term grazing trials, with particular reference to changes in botanical composition.Crossref | GoogleScholarGoogle Scholar |
Kahn L, Heard B, Whalley W (2003) ‘Pasture plants of the Slopes and Tablelands of NSW: a field guide to the recognition and attributes of 70 plants.’ (Department of Land and Water Conservation, University of New England: Armidale, NSW)
Katz R, Brown B (1992) Extreme events in a changing climate: variability is more important than averages. Climatic Change 21, 289–302.
| Extreme events in a changing climate: variability is more important than averages.Crossref | GoogleScholarGoogle Scholar |
Keating BA, McCown RL (2001) Advances in farming systems analysis and intervention. Agricultural Systems 70, 555–579.
| Advances in farming systems analysis and intervention.Crossref | GoogleScholarGoogle Scholar |
Kelly AM, Basford KE (2000) Pattern analysis in grassland and animal production systems. In ‘Field and laboratory methods for grassland and animal production research’. (Eds L ’t Mannetje, RM Jones) pp. 9–28. (CABI Publishing: Wallingford, UK)
Laws JA, Pain BF, Jarvis SC, Scholefield D (2000) Comparison of grassland management systems for beef cattle using self-contained farmlets: effects of contrasting nitrogen inputs and management strategies on nitrogen budgets, and herbage and animal production. Agriculture, Ecosystems & Environment 80, 243–254.
| Comparison of grassland management systems for beef cattle using self-contained farmlets: effects of contrasting nitrogen inputs and management strategies on nitrogen budgets, and herbage and animal production.Crossref | GoogleScholarGoogle Scholar |
Lodge GM, Johnson IR (2008a) Agricultural drought analyses for temperate Australia using a biophysical pasture model. 1. Identifying and characterising drought periods. Australian Journal of Agricultural Research 59, 1049–1060.
| Agricultural drought analyses for temperate Australia using a biophysical pasture model. 1. Identifying and characterising drought periods.Crossref | GoogleScholarGoogle Scholar |
Lodge GM, Johnson IR (2008b) Agricultural drought analyses for temperate Australia using a biophysical pasture model. 2. Relationship between rainfall and the start and end of predicted droughts. Australian Journal of Agricultural Research 59, 1061–1067.
| Agricultural drought analyses for temperate Australia using a biophysical pasture model. 2. Relationship between rainfall and the start and end of predicted droughts.Crossref | GoogleScholarGoogle Scholar |
McCaskill MR, Blair GJ (1988) Medium-term climatic variation of the Northern Tablelands of NSW. Mathematics and Computers in Simulation 30, 159–164.
| Medium-term climatic variation of the Northern Tablelands of NSW.Crossref | GoogleScholarGoogle Scholar |
McLeod MK, MacLeod DA, Daniel H (2006) The effect of degradation of phalaris plus white clover pasture on soil water regimes of a Brown Chromosol on the Northern Tablelands of NSW, Australia. Agricultural Water Management 82, 318–342.
| The effect of degradation of phalaris plus white clover pasture on soil water regimes of a Brown Chromosol on the Northern Tablelands of NSW, Australia.Crossref | GoogleScholarGoogle Scholar |
Medd RW, Smith RCG (1978) Prediction of the potential distribution of Carduus nutans (nodding thistle) in Australia. Journal of Applied Ecology 15, 603–612.
| Prediction of the potential distribution of Carduus nutans (nodding thistle) in Australia.Crossref | GoogleScholarGoogle Scholar |
Moore AD (2001) FarmWi$e: a flexible decision support tool for grazing systems management. In ‘Proceedings XIX International Grassland Congress’. São Paulo, Brazil. ID# 32-03 (International Grassland Congress) Available at http://www.internationalgrasslands.org/files/igc/publications/2001/id3203.pdf [Verified 24 June 2013]
Moore AD (2009) Opportunities and trade-offs in dual-purpose cereals across the southern Australian mixed-farming zone: a modelling study. Animal Production Science 49, 759–768.
| Opportunities and trade-offs in dual-purpose cereals across the southern Australian mixed-farming zone: a modelling study.Crossref | GoogleScholarGoogle Scholar |
Moore AD, Donnelly JR, Freer M (1997) GRAZPLAN: Decision Support Systems for Australian Grazing Enterprises. III. Pasture Growth and Soil Moisture Submodels, and GrassGro DSS. Agricultural Systems 55, 535–582.
| GRAZPLAN: Decision Support Systems for Australian Grazing Enterprises. III. Pasture Growth and Soil Moisture Submodels, and GrassGro DSS.Crossref | GoogleScholarGoogle Scholar |
Nason GR (2008) ‘Wavelet methods in statistics in R.’ (Springer: New York)
Newman R, Allen B, Cook M (1962) The effect of nitrogen on winter pasture production in southern Victoria. Australian Journal of Experimental Agriculture 2, 20–24.
| The effect of nitrogen on winter pasture production in southern Victoria.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 |
Russell JS (1981) Geographic variation in seasonal rainfall in Australia – an analysis of the 80-year period 1895–1974. The Journal of the Australian Institute of Agricultural Science 47, 59–66.
Sale PWG, Blair G (2005) Fertilisers and pasture nutrition. In ‘Pasture production and management’. (Eds JV Lovett, JM Scott) pp. 191–206. (Inkata Press: Melbourne)
Schafer BM (1980) A description of the soils on the CSIRO Pastoral Research Laboratory property, Chiswick, Armidale, NSW. Technical Paper No. 8. CSIRO Animal Research Laboratories, Armidale, NSW.
Scott JF, Cacho OJ, Scott JM (2013a) Economic risk analysis of livestock management system options. Animal Production Science 53, 788–795.
| Economic risk analysis of livestock management system options.Crossref | GoogleScholarGoogle Scholar |
Scott JM, Behrendt K, Colvin A, Scott F, Shakhane LM, Guppy C, Hoad J, Gaden CA, Edwards C, Hinch GN, Cacho OJ, Donald GE, Cottle D, Coventry T, Williams G, Mackay DF (2013b) Integrated overview of results from a farmlet experiment which compared the effects of pasture inputs and grazing management on profitability and sustainability. Animal Production Science 53, 841–855.
| Integrated overview of results from a farmlet experiment which compared the effects of pasture inputs and grazing management on profitability and sustainability.Crossref | GoogleScholarGoogle Scholar |
Scott JM, Gaden CA, Edwards C, Paull DR, Marchant R, Hoad J, Sutherland H, Coventry T, Dutton P (2013c) Selection of experimental treatments, methods used and evolution of management guidelines for comparing and measuring three grazed farmlet systems. Animal Production Science 53, 628–642.
| Selection of experimental treatments, methods used and evolution of management guidelines for comparing and measuring three grazed farmlet systems.Crossref | GoogleScholarGoogle Scholar |
Scott JM, Munro M, Rollings N, Browne W, Vickery PJ, Macgregor C, Donald GE, Sutherland H (2013d) Planning for whole-farm systems research at a credible scale: subdividing land into farmlets with equivalent initial conditions. Animal Production Science 53, 618–627.
| Planning for whole-farm systems research at a credible scale: subdividing land into farmlets with equivalent initial conditions.Crossref | GoogleScholarGoogle Scholar |
Shakhane LM, Mulcahy C, Scott JM, Hinch GN, Donald GE, Mackay DF (2013a) Pasture herbage mass, quality and growth in response to three whole-farmlet management systems. Animal Production Science 53, 685–698.
| Pasture herbage mass, quality and growth in response to three whole-farmlet management systems.Crossref | GoogleScholarGoogle Scholar |
Shakhane LM, Scott JM, Murison R, Mulcahy C, Hinch GN, Morrow A, Mackay DF (2013b) Changes in botanical composition on three farmlets subjected to different pasture and grazing management strategies. Animal Production Science 53, 670–684.
| Changes in botanical composition on three farmlets subjected to different pasture and grazing management strategies.Crossref | GoogleScholarGoogle Scholar |
Shakhane LM, Scott JM, Hinch GN, Mackay DF, Lord C (2013c) Estimating the balance between pasture feed supply and demand of grazing livestock in a farmlet experiment. Animal Production Science 53, 711–726.
| Estimating the balance between pasture feed supply and demand of grazing livestock in a farmlet experiment.Crossref | GoogleScholarGoogle Scholar |
Smith RCG, Johns GG (1975) Seasonal trends and variability of soil moisture under temperate pasture on the northern tablelands of New South Wales. Australian Journal of Experimental Agriculture and Animal Husbandry 15, 250–255.
| Seasonal trends and variability of soil moisture under temperate pasture on the northern tablelands of New South Wales.Crossref | GoogleScholarGoogle Scholar |
Specht RL (1981) Growth indices—Their rôle in understanding the growth, structure and distribution of Australian vegetation. Oecologia 50, 347–356.
| Growth indices—Their rôle in understanding the growth, structure and distribution of Australian vegetation.Crossref | GoogleScholarGoogle Scholar |
Stafford Smith DM, McKeon GM (1998) Assessing the historical frequency of drought events on grazing properties in Australian rangelands. Agricultural Systems 57, 271–299.
| Assessing the historical frequency of drought events on grazing properties in Australian rangelands.Crossref | GoogleScholarGoogle Scholar |
Sutherland H, Scott JM, Gray GD, Woolaston RR (2013) Creating the Cicerone Project: seeking closer engagement between livestock producers, research and extension. Animal Production Science 53, 593–601.
| Creating the Cicerone Project: seeking closer engagement between livestock producers, research and extension.Crossref | GoogleScholarGoogle Scholar |
Tothill JC, Hargraves JNG, Jones RM (1978) ‘BOTANAL—A comprehensive sampling and computing procedure for estimating pasture yield and composition. 1. Field sampling.’ (CSIRO Division of Tropical Crops and Pastures: St Lucia, Qld)
Tucker GB (1975) Climate: is Australia’s changing? Search 6, 323–328.
Ummenhofer CC, England MH, McIntosh PC, Meyers GA, Pook MJ, Risbey JS, Sen Gupta A, Taschetto AS (2009) What causes southeast Australia’s worst droughts? Geophysical Research Letters 36, L04706
| What causes southeast Australia’s worst droughts?Crossref | GoogleScholarGoogle Scholar |
Verdon-Kidd DC, Kiem AS (2009) Nature and causes of protracted droughts in southeast Australia: comparison between the Federation, WWII, and Big Dry droughts. Geophysical Research Letters 36, L22707
| Nature and causes of protracted droughts in southeast Australia: comparison between the Federation, WWII, and Big Dry droughts.Crossref | GoogleScholarGoogle Scholar |
Walker BH (1988) Autecology, synecology, climate and livestock as agents of rangeland dynamics. Australian Rangeland Journal 10, 69–75.
| Autecology, synecology, climate and livestock as agents of rangeland dynamics.Crossref | GoogleScholarGoogle Scholar |
Whalley R, Robinson G, Taylor J (1976) General effects of management and grazing by domestic livestock on the rangelands of the Northern Tablelands of New South Wales. The Rangeland Journal 1, 174–190.
| General effects of management and grazing by domestic livestock on the rangelands of the Northern Tablelands of New South Wales.Crossref | GoogleScholarGoogle Scholar |
Wheeler DJB, Jacobs SWL, Norton BE (1982) ‘Grasses of New South Wales. Vol. 3.’ (The University of New England: Armidale, NSW)