Beneficial impacts of climate change on pastoral and broadacre agriculture in cool-temperate Tasmania
D. C. Phelan A E , D. Parsons A , S. N. Lisson B , G. K. Holz C and N. D. MacLeod DA Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 98, Hobart, Tas. 7001, Australia.
B CSIRO Sustainable Ecosystems, University of Tasmania, Private Bag 98, Hobart, Tas. 7001, Australia.
C 201 Bathurst Street, Hobart, Tas. 7000, Australia.
D CSIRO Ecosystems Science, PO Box 2583, Brisbane, Qld 4001, Australia.
E Corresponding author. Email: dcphelan@utas.edu.au
Crop and Pasture Science 65(2) 194-205 https://doi.org/10.1071/CP12425
Submitted: 20 December 2012 Accepted: 6 December 2013 Published: 6 February 2014
Abstract
Although geographically small, Tasmania has a diverse range of regional climates that are affected by different synoptic influences. Consequently, changes in climate variables and climate-change impacts will likely vary in different regions of the state. This study aims to quantify the regional effects of projected climate change on the productivity of rainfed pastoral and wheat crop systems at five sites across Tasmania. Projected climate data for each site were obtained from the Climate Futures for Tasmania project (CFT). Six General Circulation Models were dynamically downscaled to ~10-km grid cells using the CSIRO Conformal Cubic Atmospheric Model under the A2 emissions scenario for the period 1961–2100. Mean daily maximum and minimum temperatures at each site are projected to increase from a baseline period (1981–2010) to 2085 (2071–2100) by 2.3–2.7°C. Mean annual rainfall is projected to increase slightly at all sites. Impacts on pasture and wheat production were simulated for each site using the projected CFT climate data. Mean annual pasture yields are projected to increase from the baseline to 2085 largely due to an increase in spring pasture growth. However, summer growth of temperate pasture species may become limited by 2085 due to greater soil moisture deficits. Wheat yields are also projected to increase, particularly at sites presently temperature-limited. This study suggests that increased temperatures and elevated atmospheric CO2 concentrations are likely to increase regional rainfed pasture and wheat production in the absence of any significant changes in rainfall patterns.
Additional keywords: biophysical modelling, climate models, dynamical downscaling, GCM, pasture, wheat.
References
Alexander LV, Arblaster JM (2009) Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. International Journal of Climatology 29, 417–435.| Assessing trends in observed and modelled climate extremes over Australia in relation to future projections.Crossref | GoogleScholarGoogle Scholar |
Anwar MR, O’Leary G, McNeil D, Hossain H, Nelson R (2007) Climate change impact on rainfed wheat in south-eastern Australia. Field Crops Research 104, 139–147.
| Climate change impact on rainfed wheat in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Bell MJ, Eckard RJ, Harrison MT, Neal JS, Cullen BR (2013) Effect of warming on the productivity of perennial ryegrass and kikuyu pastures in south-eastern Australia. Crop & Pasture Science 64, 61–70.
| Effect of warming on the productivity of perennial ryegrass and kikuyu pastures in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Bennett JC, Ling FLN, Graham B, Grose MR, Corney SP, White CJ, Holz GK, Post DA, Gaynor SM, Bindoff NL (2010) ‘Climate Futures for Tasmania: Water and catchments technical report.’ (Antarctica Climate & Ecosystems Cooperative Research Centre: Hobart, Tas.)
Bennett JC Grose MR Corney SP White CJ Holz GK Katzfey JJ Post DA Gaynor SM Bindoff NL 2013
Bowes G (1993) Facing the inevitable: Plants and increasing atmospheric CO2. Annual Review of Plant Physiology 44, 309–332.
| Facing the inevitable: Plants and increasing atmospheric CO2.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3sXlsFKisbs%3D&md5=6a7b80a18665b8674caf11f366848d49CAS |
Bureau of Meteorology 2012 www.bom.gov.au/
Casella E, Soussana JF, Loiseau P (1996) Long-term effects of CO2 enrichment and temperature increase on a temperate grass sward. Plant and Soil 182, 83–99.
| Long-term effects of CO2 enrichment and temperature increase on a temperate grass sward.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK28XmtVGqtLc%3D&md5=a435e1e275622ad739bf9a62c11d0fedCAS |
Clark H, Newton PCD, Bell CC, Glasgow EM (1995) The influence of elevated CO2 and simulated seasonal changes in temperature on tissue turnover in pasture turves dominated by perennial ryegrass (Lolium perenne) and white clover (Trifolium repens). Journal of Applied Ecology 32, 128–136.
| The influence of elevated CO2 and simulated seasonal changes in temperature on tissue turnover in pasture turves dominated by perennial ryegrass (Lolium perenne) and white clover (Trifolium repens).Crossref | GoogleScholarGoogle Scholar |
Corney SP, Katzefey JJ, McGregor JL, Grose MR, Bennett JB, White CJ, Holz GK, Gaynor SM, Bindoff NL (2010) ‘Climate Futures for Tasmania: Climate modelling technical report.’ (Antarctica Climate & Ecosystems Cooperative Research Centre: Hobart, Tas.)
Cullen BR, Eckard RJ, Callow MN, Johnson IR, Chapman DF, Rawnsley RP, Garcia SC, White T, Snow VO (2008) Simulating pasture growth rates in Australia and New Zealand grazing systems. Australian Journal of Agricultural Research 59, 761–768.
| Simulating pasture growth rates in Australia and New Zealand grazing systems.Crossref | GoogleScholarGoogle Scholar |
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 Science 60, 933–942.
| Climate change effects on pasture systems in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Cullen BR, Eckard RJ, Rawnsley RP (2012) Resistance of pasture production to projected climate changes in south-eastern Australia. Crop & Pasture Science 63, 77–86.
| Resistance of pasture production to projected climate changes in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Grose MR, Barnes-Keoghan I, Corney SP, White CJ, Holz GK, Bennett JB, Gaynor SM, Bindoff NL (2010) ‘Climate Futures for Tasmania: General climate impacts technical report.’ (Antarctic Climate & Ecosystems Cooperative Research Centre: Hobart, Tas.)
Guobin L, Kemp DR (1992) Water stress affects the productivity, growth components, competitiveness and water relations phalaris and white clover growing in a mixed pasture. Australian Journal of Agricultural Research 43, 659–672.
| Water stress affects the productivity, growth components, competitiveness and water relations phalaris and white clover growing in a mixed pasture.Crossref | GoogleScholarGoogle Scholar |
Hammer GL, McKeon GM (1983). Evaluating the effect of climatic variability on management of dryland agricultural systems in north eastern Australia. In ‘Need for climatic and hydrologic data in agriculture of South east Asia. Proceedings of United Nations University Workshop’. December 1983, Canberra. Technical Memo 89/5. (Eds EA Fitzpatrick, JD Kalma) (CSIRO Division of Water Resources: Canberra, ACT)
Holz GK, Grose MK, Bennett JC, Corney SP, White CJ, Phelan D, Potter K, Kriticos D, Rawnsley R, Parsons D, Lisson S, Gaynor SM, Bindoff NL (2010) ‘Climate Futures for Tasmania: Impacts on agriculture technical report.’ (Antarctic Climate and Ecosystems Cooperative Research Centre: Hobart, Tas.)
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’ (Eds S Solomon, D Qin, M Manning, Z Chen, M Marquis, KB Averyt, M Tignor, HL Miller) (Cambridge University Press: Cambridge, UK, and New York)
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 |
Johnson IR, Chapman DF, Snow VO, Eckard RJ, Parsons AJ, Lambert MG, Cullen BR (2008) DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand. Australian Journal of Experimental Agriculture 48, 621–631.
| DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand.Crossref | GoogleScholarGoogle Scholar |
Jones DA, Wang W, Fawcett R (2009) High-quality spatial climate data-sets for Australia. Australian Meteorological and Oceanographic Journal 58, 233–248.
Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verbug K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
| An overview of APSIM, a model designed for farming systems simulation.Crossref | GoogleScholarGoogle Scholar |
Kemp DR, Eagles CF, Humphreys MO (1989) Leaf growth and apex development of perennial ryegrass during winter and spring. Annals of Botany 63, 349–355.
Lodge GM, Johnson IR (2008) 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 |
Long SP, Ainsworth EA, Rogers A, Ort DR (2004) Global atmospheric carbon dioxide: Plants FACE the future. Annual Review of Plant Biology 55, 591–628.
| Global atmospheric carbon dioxide: Plants FACE the future.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXlvFeisb8%3D&md5=e0d61fdcdcdb81dd72ae59ad9c3bad2eCAS | 15377233PubMed |
McGregor JL (2005) CCAM: Geometric aspects and dynamical formulation. Technical Paper No. 70. CSIRO Atmospheric Research, Aspendale, Vic.
McGregor JL, Dix MR (2008) An updated description of the Conformal-Cubic Atmospheric Model. In ‘High resolution simulation of the atmosphere and ocean’. (Eds K Hamilton, W Ohfuchi) pp. 51–76. (Springer: Berlin, Heidelberg)
McInnes KL, Bathols J, Page C, Suppiah R, Whetton PH (2004) Climate change in Tasmania. Draft Report. Climate Impact Group, CSIRO Atmospheric Research, Aspendale, Vic.
McIntosh P, Pook M, McGregor J (2005) ‘Study of future and current climate: A scenario for the Tasmanian region.’ (CSIRO Marine and Atmospheric Research, University of Tasmania: Hobart, Tas.)
Mitchell KJ (1956) Growth of pasture species under controlled environment. 1. Growth at various levels of constant temperature. New Zealand Journal of Science and Technology 38A, 203–216.
Nakicenovic N, Swart R (2000) ‘Special Report on Emissions Scenarios. A special report of Working Group III of the Intergovernmental Panel on Climate Change.’ (Cambridge University Press: Cambridge, UK)
Nunez M (2004) ‘Tasmanian water environments in the middle of the 21st century: results using the CCAM regional climate model.’ (University of Tasmania: Hobart, Tas.)
Perkins SE, Pitman AJ, Holbrook NJ, McAneney J (2007) Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature and precipitation over Australia using probability density functions. Journal of Climate 20, 4356–4376.
| Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature and precipitation over Australia using probability density functions.Crossref | GoogleScholarGoogle Scholar |
Ricketts JH, Page CM (2007) A web based version of OzClim for exploring climate change impacts and risks in the Australian region. Available at: www.csiro.au/ozclim/home.do
Schapendonk AHCM, Dijkstra P, Groenwold J, Pot CS, Van De Geijn SC (1997) Carbon balance and water use efficiency of frequently cut Lolium perenne L. swards at elevated carbon dioxide. Global Change Biology 3, 207–216.
| Carbon balance and water use efficiency of frequently cut Lolium perenne L. swards at elevated carbon dioxide.Crossref | GoogleScholarGoogle Scholar |
Soussana JF, Graux AI, Tubiello FN (2010) Improving the use of modelling for projections of climate change impacts on crops and pastures. Journal of Experimental Botany 61, 2217–2228.
| Improving the use of modelling for projections of climate change impacts on crops and pastures.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXmsVGgu7Y%3D&md5=92419b7303b6b8dc3822ce95cdb3ba8dCAS | 20410317PubMed |
Suppiah R, Hennessey KJ, Whetton PH, McInnes K, Macadam I, Bathols J, Ricketts J, Page CM (2007) Australian climate change projections derived from simulations performed for the IPCC 4th Assessment Report. Australian Meteorological Magazine 56, 131–152.
Thomas H, Norris IB (1979) Winter growth of contrasting ryegrass varieties at two altitudes in mid-Wales. Journal of Applied Ecology 16, 553–565.
| Winter growth of contrasting ryegrass varieties at two altitudes in mid-Wales.Crossref | GoogleScholarGoogle Scholar |
Turner NC, Asseng S (2005) Productivity, sustainability and rainfall-use efficiency in Australian rainfed Mediterranean agricultural systems. Australian Journal of Experimental Research 56, 1123–1136.
| Productivity, sustainability and rainfall-use efficiency in Australian rainfed Mediterranean agricultural systems.Crossref | GoogleScholarGoogle Scholar |
van Ittersum MK, Howden SM, Asseng S (2003) Sensitivity of productivity and deep drainage of wheat cropping systems in a Mediterranean environment to changes in CO2 temperature and precipitation. Agriculture, Ecosystems & Environment 97, 255–273.
| Sensitivity of productivity and deep drainage of wheat cropping systems in a Mediterranean environment to changes in CO2 temperature and precipitation.Crossref | GoogleScholarGoogle Scholar |
Waller RA, Sale PWG (2001) Persistence and productivity of perennial ryegrass in sheep pastures in south-western Victoria: a review. Australian Journal of Experimental Agriculture 41, 117–144.
| Persistence and productivity of perennial ryegrass in sheep pastures in south-western Victoria: a review.Crossref | GoogleScholarGoogle Scholar |
Wang J, Wang E, Luo Q, Kirby M (2009) Modelling the sensitivity of wheat growth and water balance to climate change in Southeast Australia. Climatic Change 96, 79–96.
| Modelling the sensitivity of wheat growth and water balance to climate change in Southeast Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhtVynsLfL&md5=b4bd4016456b469ebe70b34c020c32baCAS |
Wang J, Wang E, Liu DL (2011) Modelling the impacts of climate change on wheat yield and field water balance over the Murray–Darling Basin in Australia. Theoretical and Applied Climatology 104, 285–300.
| Modelling the impacts of climate change on wheat yield and field water balance over the Murray–Darling Basin in Australia.Crossref | GoogleScholarGoogle Scholar |
Wu DW, Wang GX, Bai YF, Liao JX (2004) Effects of elevated CO2 concentration on growth, water use, yield and grain quality of wheat under two soil water levels. Agriculture, Ecosystems & Environment 104, 493–507.
| Effects of elevated CO2 concentration on growth, water use, yield and grain quality of wheat under two soil water levels.Crossref | GoogleScholarGoogle Scholar |