Increasing soil carbon in eastern Australian farming systems: Linking management, nitrogen and productivity
Funding or Partner Organisation: NSW Department of Primary Industries
Start year: 2015
Summary: This project pays to host 2 visiting fellows from NSW DPI (Wagga Wagga) at UTS. It mostly funds living costs whilst in Sydney. This project is part of the National Soil Carbon Program (NSCP) and will assist in the development and delivery of the most effective and practical strategies for managing soil carbon. This will address the following Filling the Research Gap research priorities: Research priority #3 - Increasing soil carbon Research priority #4 - Improved modelling capability The NSCP will integrate research and development activities across all research providers to close research gaps relevant to soil carbon in Australian agricultural soils. The NSCP will synthesise research findings under four themes to develop understanding about: 1. the potential role of perennial vegetation in the management of soil carbon 2. the potential for organic additions to soil to build soil carbon and the effect on greenhouse gas balance 3. temporal changes in soil carbon (to improve modelling of soil carbon dynamics and thus support low cost methods for measuring soil carbon) 4. the effect of crop, pasture and forestry management practices on soil carbon.
Publications:
Feng, P, Liu, DL, Wang, B, Waters, C, Zhang, M & Yu, Q 2019, 'Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble', International Journal of Climatology, vol. 39, no. 2, pp. 1041-1053.
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Xing, H, Liu, DL, Li, G, Wang, B, Anwar, MR, Crean, J, Lines-Kelly, R & Yu, Q 2017, 'Incorporating grain legumes in cereal-based cropping systems to improve profitability in southern New South Wales, Australia', Agricultural Systems, vol. 154, pp. 112-123.
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Wang, B, Liu, DL, Macadam, I, Alexander, LV, Abramowitz, G & Yu, Q 2016, 'Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in south eastern Australia', Climatic Change, vol. 138, no. 1-2, pp. 85-98.
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Wang, B, Liu, DL, Macadam, I, Alexander, LV, Abramowitz, G & Yu, Q 1970, 'Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in eastern Australia', Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, pp. 1565-1571.
Keywords: Soil carbon, Farming systems, eastern Australia
FOR Codes: Carbon Sequestration Science, Agricultural Systems Analysis and Modelling, Farmland, Arable Cropland and Permanent Cropland Soils, Climate Change Mitigation Strategies, Soils