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Regional Environmental Change

, Volume 12, Issue 4, pp 751–763 | Cite as

Global warming potential of French grassland-based dairy livestock systems under climate change

  • Anne-Isabelle GrauxEmail author
  • Romain Lardy
  • Gianni Bellocchi
  • Jean-François Soussana
Original Article

Abstract

Despite the increasing interest in assessing the greenhouse gas (GHG) budget of livestock production systems, little is known about the possible impacts of climate change on the future contribution of such systems to global warming. The aim of this study was to assess the global warming potential (GWP) of differently managed grassland-based dairy systems, based either on permanent or on sown grasslands, under climate change at two sites: Avignon (sub-arid/arid) and Mirecourt (sub-humid/humid), representative of French contrasting climates. We compared the near-past conditions (1970–1999) and projections for 2020–2049 (near future) and 2070–2099 (far future), which correspond to the SRES A2 storyline projected by the ARPEGE climate model and downscaled with quantile–quantile regionalization method. The pasture simulation model (PaSim) simulated on-site GHG emissions. Off-site emissions were assessed according to the 2006 IPCC guidelines and attributed to the corresponding grassland field under the assumption that harvested herbage is fully eaten by stalled cattle. The attributed GWP (GWPAtt) of each system was calculated by subtracting from the net C storage the N2O and CH4 emissions occurring within the grassland plot and off-site emissions resulting from farm effluents (i.e. solid and liquid manure and slurry) and the digestion and enteric fermentation by cattle of the cut herbage. Climate change was not expected to significantly modify the GWPAtt of systems, on average, but general trends were observed. Systems based on permanent grasslands presented the largest increase in GWPAtt in the far future, due to faster soil organic matter (SOM) decomposition under climate change and the additional GHG fluxes induced by increased forage production and digestion by dairy-stalled cattle. GWPAtt increase was more evident in extensively managed grassland systems conducted in humid environments (Mirecourt), with twofold higher GWPAtt. On the contrary, GWPAtt reduction is expected to be met with systems based on sown grasslands where SOM decomposition acceleration is compensated by enhanced net primary production, especially under humid conditions (Mirecourt) and for irrigated systems (with a 13% reduction of GWPAtt expressed per livestock unit day, LSU d). Although the expected reduction of the net C storage (down to 68% at Mirecourt in far future), systems based on extensive permanent grasslands will continue to be the least detrimental to global warming, with an GWPAtt of 1.2 t CO2–C eq. ha−1 year−1 and of 3.4 kg CO2–C eq. LSU−1 day−1 year−1 in the far future.

Keywords

Climate change Global warming potential Grassland ecosystems Greenhouse gases Livestock Pasture simulation model 

Notes

Acknowledgments

This work was supported by the Auvergne Region of France and by the ANR CLIMATOR project Vulnérabilité, Climat et Sociétés. A high-performance gridded-platform provided by LIMOS (http://www.isima.fr/limos) was accessed to cut down the execution time required to run PaSim simulations, for which we acknowledged Prof. David Hill (Blaise Pascal University, Clermont-Ferrand, France).

References

  1. Abdalla M, Jones M, Yeluripati J, Smith P, Burke J, Williams M (2010) Testing DayCent and DNDC model simulations of N2O fluxes and assessing the impacts of climate change on the gas flux and biomass production from a humid pasture. Atmos Environ 44:2961–2970CrossRefGoogle Scholar
  2. Allard V, Soussana J-F, Falcimagne R, Berbigier P, Bonnefond JM, Ceschia E, D’hour P, Hénault C, Laville P, Martin C, Pinarès-Patino C (2007) The role of grazing management for the net biome productivity and greenhouse gas budget (CO2, N2O and CH4) of semi-natural grassland. Agric Ecosyst Environ 12:47–58CrossRefGoogle Scholar
  3. Allcroft DJ, Glasbey CA (2003) A latent Gaussian Markov random field model for spatiotemporal rainfall disaggregation. Appl Stat 52:487–498Google Scholar
  4. Barnard R, Barthes L, Leadley PW (2006) Short-term uptake of 15N by a grass and soil micro-organisms after long-term exposure to elevated CO2. Plant Soil 280:91–99CrossRefGoogle Scholar
  5. Basset-Mens C, Kelliher FM, Ledgard S, Cox N (2009) Uncertainty of global warming potential for milk production on a New Zealand farm and implications for decision making. Int J Life Cycle Assess 14:630–638CrossRefGoogle Scholar
  6. Bindi M, Olesen JE (2011) The responses of agriculture in Europe to climate change. Reg Environ Change 11(Suppl. 1):S151–S158CrossRefGoogle Scholar
  7. Blankinship JC, Brown JR, Dijkstra P, Allwright MC, Hungate BA (2010) Response of terrestrial CH4 uptake to interactive changes in precipitation and temperature along a climatic gradient. Ecosystems 13:1157–1170CrossRefGoogle Scholar
  8. Brisson N, Levrault F (2010) Climate change, agriculture and forests in France: simulations of the impacts on the main species. The green book of the CLIMATOR project (2007–2010). ADEME, Angers (available at: http://www2.ademe.fr/servlet/getDoc?sort=-1&cid=96&m=3&id=76705&ref=&nocache=yes&p1=111)
  9. Cantarel AAM, Bloor JMG, Deltroy N, Soussana JF (2011) Effects of climate change drivers on nitrous oxide fluxes in a upland temperate grassland. Ecosystems 14:223–233CrossRefGoogle Scholar
  10. Chen DL, Li Y, Grace P, Mosier AR (2008) N2O emissions from agricultural lands: a synthesis of simulation approaches. Plant Soil 309:169–189CrossRefGoogle Scholar
  11. Ciais P, Reichstein M, Viovy N, Granier A, Ogee J, Allard V, Aubinet M, Buchmann N, Bernhofer C, Carrara A, Chevallier F, de Noblet N, Friend A-D, Friedlingstein P, Grünwald T, Heinesch B, Keronen P, Knohl A, Krinner G, Loustau D, Manca G, Matteucci G, Miglietta F, Ourcival J-M, Papale D, Pilegaard K, Rambal S, Seufert G, Soussana J-F, Sanz M-J, Schulze E-D, Vesala T, Valentini R (2005) Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 33:437–529Google Scholar
  12. Conant RT, Paustian K, Del Grosso S, Parton WJ (2005) Nitrogen pools and fluxes in grassland soils sequestering carbon. Nutr Cycl Agroecosys 71:239–248CrossRefGoogle Scholar
  13. Déqué M (2007) Frequency of precipitation and temperature extremes over France in an anthropogenic scenario: model results and statistical correction according to observed values. Global Planet Change 57:16–26CrossRefGoogle Scholar
  14. Déqué M, Dreveton C, Braun A, Cariolle D (1994) The ARPEGE/IFS atmosphere model: a contribution to the French community climate modelling. Clim Dyn 10:249–266CrossRefGoogle Scholar
  15. Dobbie KE, McTaggart IP, Smith KA (1999) Nitrous oxide emissions from intensive agricultural systems. Variation between crops and seasons, key driving variables and mean emission factors. J Geophys Res 104:26891–26899CrossRefGoogle Scholar
  16. Ellis EC (2011) Anthropogenic transformation of the terrestrial biosphere. Proc Roy Soc A Math Phy 369:1010–1035Google Scholar
  17. Farquharson R, Baldock J (2008) Concepts in modelling N2O emissions from land use. Plant Soil 309:147–167CrossRefGoogle Scholar
  18. Fiorelli JL, Drouet JL, Duretz S, Gabrielle B, Graux A-I, Blanfort V, Capitaine M, Cellier P, Soussana J-F (2008) Evaluation of greenhouse gas emissions and design of mitigation options: a whole farm approach based on farm management data and mechanistic models. In: Benoît D (ed) Empowerment of the rural actors. A renewal of farming systems perspectives. 8th European IFSA symposium, 6–10 July, Clermont-Ferrand, pp 693–701Google Scholar
  19. Gibelin A-L, Déqué M (2003) Anthropogenic climate change over the Mediterranean region simulated by a global variable resolution model. Clim Dyn 20:327–339Google Scholar
  20. Graux A-I (2011) Modélisation des impacts du changement climatique sur les écosystèmes prairiaux. Voies d’adaptations des systèmes fourragers. PhD Thesis, Blaise Pascal University, Clermont-FerrandGoogle Scholar
  21. Graux A-I, Gaurut M, Agabriel J, Baumont R, Delagarde R, Delaby L, Soussana J-F (2011) Development of the Pasture simulation model for assessing livestock production under climate change. Agric Ecosyst Environ 144:69–91CrossRefGoogle Scholar
  22. Gworgwor ZA, Mbahi TF, Yakubu B (2006) Environmental implications of methane production by ruminants: a review. J Sustain Dev Agric Environ 2. ISSN 0794-8867Google Scholar
  23. Haan CT (2002) Statistical methods in hydrology, 2nd edn. Iowa State University Press, Ames, IOGoogle Scholar
  24. Hindrichsen IK, Wettstein HR, Machmüller A, Kreuzer M (2006) Methane emission, nutrient degradation and nitrogen turnover in dairy cows and their slurry at different milk production scenarios with and without concentrate supplementation. Agric Ecosyst Environ 113:150–161CrossRefGoogle Scholar
  25. Hsieh C-I, Leahy P, Kiely G, Li C (2005) The effects of future climate perturbations on N2O emissions from a fertilized humid grassland. Nutr Cycl Agroecosys 73:15–23CrossRefGoogle Scholar
  26. INRA (1989) Ruminant nutrition: recommended allowances and feed tables. John Libbey Eurotext, ParisGoogle Scholar
  27. IPCC (2001) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change (IPCC). In: Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds) Cambridge University Press, CambridgeGoogle Scholar
  28. IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories. In: Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K (eds) Greenhouse gas inventories programme. Institute for Global Environmental Strategies, HayamaGoogle Scholar
  29. IPCC (2007a) Climate change: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Cambridge University Press, CambridgeGoogle Scholar
  30. IPCC (2007b) Climate change: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Cambridge University Press, CambridgeGoogle Scholar
  31. Janssens IA, Freibauer A, Ciais P, Smith P, Nabuurs GJ, Folberth G, Schlamadinger B, Hutjes RWA, Ceulemans R, Schulze ED, Valentini R, Dolman AJ (2003) Europe’s terrestrial biosphere absorbs 7–12% of European anthropogenic CO2 emissions. Science 300:1538–1542CrossRefGoogle Scholar
  32. Johnson KA, Johnson DE (1995) Methane emissions from cattle. J Anim Sci 73:2483–2492Google Scholar
  33. Kruskal W, Wallis WA (1952) Use of ranks in one-criterion variance analysis. J Am Stat Assoc 47:583–621CrossRefGoogle Scholar
  34. Loiseau P, Soussana J-F (2000) Effects of elevated CO2, temperature and N fertilization on nitrogen fluxes in a temperate grassland ecosystem. Global Change Biol 6:953–965CrossRefGoogle Scholar
  35. Lovett DK, Shalloo L, Dillon P, O’Mara FP (2008) Greenhouse gas emissions from pastoral based dairying systems: the effect of uncertainty and management change under two contrasting production systems. Livest Sci 116:260–274CrossRefGoogle Scholar
  36. Lowe DC (2006) A green source of surprise. Nature 439:146–149CrossRefGoogle Scholar
  37. Martin C, Rouel J, Jouany JP, Doreau M, Chilliard Y (2008) Methane output and diet digestibility in response to feeding dairy cows crude linseed, extruded linseed, or linseed oil. J Anim Sci 86:2642–2650CrossRefGoogle Scholar
  38. Martin C, Morgavi DP, Doreau M (2009) Methane mitigation in ruminants: from microbe to the farm scale. Animal 4:351–365CrossRefGoogle Scholar
  39. Meza FI (2006) Obtaining daily precipitation parameters from meteorological yearbooks. Agric Forest Meteorol 138:216–230CrossRefGoogle Scholar
  40. Mosier AR, Duxbury JM, Freney JR, Heinemeyer O, Minami K (1998) Assessing and mitigating N2O emissions from agricultural soils. Clim Change 40:7–38CrossRefGoogle Scholar
  41. Nakičenovič N (2000) Greenhouse gas emissions scenarios. Technol Forecast Soc Chang 65:149–166CrossRefGoogle Scholar
  42. Pereira JS, Mateus JA, Aires LM, Pita G, Pio C, David JS, Andrade V, Banza J, David TS, Paço TA, Rodrigues A (2007) Net ecosystem carbon exchange in three contrasting Mediterranean ecosystems—the effect of drought. Biogeosciences 4:791–802CrossRefGoogle Scholar
  43. Pinay G, Barbera P, Carreras-Palou A, Fromin N, Sonié L, Couteaux MM, Roy J, Philippot L, Lensi R (2007) Impact of atmospheric CO2 and plant life forms on soil microbial activities. Soil Biol Biochem 39:33–42CrossRefGoogle Scholar
  44. Riedo M, Grub A, Rosset M, Fuhrer J (1998) A pasture simulation model for dry matter production and fluxes of carbon, nitrogen, water and energy. Ecol Model 105:41–183CrossRefGoogle Scholar
  45. Riedo M, Milford C, Schmid M, Sutton MA (2002) Coupling soil-plant-atmosphere exchange of ammonia with ecosystem functioning in grasslands. Ecol Model 158:83–110CrossRefGoogle Scholar
  46. Saggar S, Tate KR, Giltrap DL, Singh J (2008) Soil-atmosphere exchange of nitrous oxide and methane in New Zealand terrestrial ecosystems and their mitigation options: a review. Plant Soil 309:25–42CrossRefGoogle Scholar
  47. Schmid M, Neftel A, Riedo M, Fuhrer J (2001) Process-based modelling of nitrous oxide emissions from different nitrogen sources in mown grassland. Nutr Cycl Agroecosys 60:177–187CrossRefGoogle Scholar
  48. Seegers J, Caillaud D, Meudre A-M, Laurent M, Fagon J, Reuillon J-L, Rubin B, Désarménien D, Pavie J, Le Lan B, Béguin E (2009) Résultats 2007 des exploitations d’élevage bovins lait: synthèse nationale des données des réseaux d’élevage. Institut de l’Elevage, Paris. Available at: http://www.inst-elevage.asso.fr/IMG/pdf_CR_080950006-v.pdf
  49. Seijan V, Lal R, Lakritz J, Ezeji T (2011) Measurement and prediction of enteric methane emission. Int J Biometeorol 55:1–16CrossRefGoogle Scholar
  50. Silanikove N (2000) Effects of heat stress on the welfare of extensively managed domestic ruminants. Livest Prod Sci 67:1–18CrossRefGoogle Scholar
  51. Smirnov V (1939) On the estimation of the discrepancy between empirical curves of distribution for two independent samples. Bull Moscow Univ Int Ser Math 2:3–16Google Scholar
  52. Smith J, Smith P, Wattenbach M, Zaehle S, Hiederer R, Jones RJA, Montanarella L, Rounsevell MDA, Reginster I, Ewert F (2005) Projected changes in mineral soil carbon of European croplands and grasslands, 1990–2080. Glob Change Biol 11:2141–2152CrossRefGoogle Scholar
  53. Soussana J-F (2008) The role of the carbon cycle for the greenhouse gas balance of grasslands and of livestock production systems. In: Rowlinson P, Steele M, Nefzaoui A (eds) Proceedings of the international conference on livestock and global climate change of the british society of animal science, 17–20 May, Hammamet, pp 12–15Google Scholar
  54. Soussana J-F, Pilegaard K, Ambus P, Berbigier P, Ceschia E, Clifton-Brown J, Czobel S, de Groot T, Fuhrer J, Horvath L, Hensen A, Jones M, Kasper G, Martin C, Milford C, Nagy Z, Neftel A, Raschi A, Rees RM, Skiba U, Stefani P, Saletes S, Sutton MA, Tuba Z, Weidinger T (2004) Annual greenhouse gas balance of European grasslands—first results from the GreenGrass project. In: International conference greenhouse gas emissions from agriculture-mitigation options and strategies, 10–12 February, Leipzig, pp 25–30Google Scholar
  55. Soussana J-F, Allard V, Pilegaard K, Ambus P, Amman C, Campbell C, Ceschia E, Clifton-Brown J, Czobel S, Domingues R, Flechard C, Fuhrer J, Hensen A, Horvath L, Jones M, Kasper G, Martin C, Nagy Z, Neftel A, Raschi A, Baronti S, Rees R, Skiba U, Stefani P, Manca G, Sutton M, Tuba Z, Valentini R (2007) Full accounting of the greenhouse gas budget of nine European grassland sites. Agric Ecosyst Environ 121:121–134CrossRefGoogle Scholar
  56. Soussana J-F, Graux A-I, Tubiello FN (2010a) Improving the use of modelling for projections of climate change impacts on crops and pastures. J Exp Bot 61:2217–2228CrossRefGoogle Scholar
  57. Soussana J-F, Klumpp K, Tallec T (2010b) Mitigating livestock greenhouse gas balance through carbon sequestration in grasslands. IOP Conf Ser Earth Environ Sci 6:242048CrossRefGoogle Scholar
  58. Steinfeld H, Hoffmann I (2008) Livestock, greenhouse gases and global climate change. In: Rowlinson P, Steele M, Nefzaoui A (eds) Proceedings of the international conference on livestock and global climate change of the British Society of animal science, 17–20 May, Hammamet, p 8Google Scholar
  59. Steinfeld H, Gerber P, Wassenaar T, Castel V, Rosales M, de Haan C (2006) Livestock’s long shadow. Food and Agriculture Organization of the United Nations, Rome. Available at: http://www.fao.org/docrep/010/a0701e/a0701e00.htm
  60. Tubiello FN, Soussana J-F, Howden SM (2007) Crop and pasture response to climate change. Proc Natl Acad Sci USA 104:19686–19690CrossRefGoogle Scholar
  61. Veysset P, Lherm M, Bébin D (2010) Energy consumption, greenhouse gas emissions and economic performance in French Charolais suckler cattle farms: Model-based analysis and forecasts. Agr Syst 103:41–50CrossRefGoogle Scholar
  62. Vleeshouwers LM, Verhagen A (2002) Carbon emission and sequestration by agricultural land use: a model study for Europe. Global Change Biol 8:519–530CrossRefGoogle Scholar
  63. Vuichard N, Ciais P, Viovy N, Calanca P, Soussana J-F (2007a) Estimating the greenhouse gas fluxes of European grasslands with a process-based model: 2. Simulations at the continental level. Global Biogeochem Cy 21:GB1005.1–GB1005.13Google Scholar
  64. Vuichard N, Soussana J-F, Ciais P, Viovy N, Ammann C, Calanca P, Clifton-Brown J, Fuhrer J, Jones M, Martin C (2007b) Estimating the greenhouse gas fluxes of European grasslands with a process-based model: 1. Model evaluation from in situ measurements. Global Biogeochem Cy 21:GB1004.1–GB1004.14Google Scholar
  65. Woodward A, Scheraga J (2003) Looking to the future: challenges for scientists studying climate change and health. In: McMichael A, Campbell-Lendrum D, Corvalán C, Ebi K, Githeko A, Scheraga J, Woodward A (eds) Climate change and human health: risks and responses. World Health Organisation, Geneva, pp 61–78Google Scholar

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Anne-Isabelle Graux
    • 1
    Email author
  • Romain Lardy
    • 1
  • Gianni Bellocchi
    • 1
  • Jean-François Soussana
    • 1
  1. 1.French National Institute for Agricultural ResearchGrassland Ecosystem Research UnitClermont-FerrandFrance

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