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ARS Home » Northeast Area » University Park, Pennsylvania » Pasture Systems & Watershed Management Research » Research » Publications at this Location » Publication #323950

Title: Evaluating the mitigation of greenhouse gas emissions and adaptation in dairy production.

Author
item Rotz, Clarence - Al
item Skinner, Robert
item STONER, ANNE - Texas Tech University
item HAYHOE, KATHARINE - Texas Tech University

Submitted to: Transactions of the ASABE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/9/2016
Publication Date: 12/30/2016
Citation: Rotz, C.A., Skinner, R.H., Stoner, A.M., Hayhoe, K. 2016. Evaluating the mitigation of greenhouse gas emissions and adaptation in dairy production. Transactions of the ASABE. ASABE. 59(6): 1771-1781. doi: 10.13031/trans.59.11594

Interpretive Summary: Global warming and climate change have become important concerns for our future, and changes in temperature and precipitation are already being observed. Dairy farms contribute to global greenhouse gas emissions, and they are affected by climate change. Whole farm and global climate models provide useful tools for studying the benefits and costs of greenhouse gas mitigation and the adaptation of farms to changing climate. Strategies are available for reducing farm emissions, but they must be cost effective for the producer to maintain sustainable production systems. To retain sustainable systems in the future, adjustments in farm management will be required to adapt to changes in climate.

Technical Abstract: Process-level modeling at the farm scale provides a tool for evaluating strategies for both mitigating greenhouse gas emissions and adapting to climate change. The Integrated Farm System Model (IFSM) simulates representative crop, beef or dairy farms over many years of weather to predict performance, economics and environmental impacts including various emissions and a farm-gate life cycle assessment of carbon, energy, water and reactive nitrogen footprints of the feed, meat or milk produced. The IFSM was used to simulate a representative dairy farm in northern New York over 25 years of recent historical weather to determine the environmental benefits and economic costs of alternative manure handling strategies. Use of an enclosed manure storage with a flare to burn the methane produced decreased the farm-gate carbon footprint of the milk produced by 20% at an increased annual cost of $42/cow. Using an anaerobic digester to produce gas and electricity used on the farm reduced the carbon footprint by 19% and reduced profitability by $56/cow. The addition of subsurface injection of manure along with a reduction in N fertilizer use greatly reduced ammonia emission from the farm and increased annual profit by $9/cow. Climate change is projected to affect many aspects of dairy production including growing season length, crop growth processes, harvest timing and losses, cattle performance, nutrient emissions and losses, and ultimately farm profitability. Climate projections for high and low emission scenarios were downscaled from nine global climate models. IFSM was then used to simulate the same New York dairy farm over 25-yr periods using recent and projected mid- and late-century climate projected by each of the climate models. Simulations were done without and with adaptation through modified crop varieties and planting and harvest dates. Forage production normally increased with projected climate change and corn grain yields decreased, and together feed production was maintained. Warmer temperatures increased volatile loss of ammonia N, and changes in precipitation patterns increased nutrient runoff losses in surface water. The reactive N footprint of the milk produced was increased by 2-11% with the change in climate, but other environmental footprints were relatively unaffected. With appropriate adaptation to climate change, annual farm profitability increased by about $100/cow, but for the high emission, late-century projection, profit decreased by $10/cow and the risk or annual variance in profit increased by 34% reflecting greater annual variation in crop and animal productivity. Whole farm and global climate models provide useful tools for studying the benefits and costs of greenhouse gas mitigation and the adaptation of farms to changing climate.