Land-use and sustainability under intersecting global change and domestic policy scenarios: Trajectories for Australia to 2050

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Abstract

Understanding potential future influence of environmental, economic, and social drivers on land-use and sustainability is critical for guiding strategic decisions that can help nations adapt to change, anticipate opportunities, and cope with surprises. Using the Land-Use Trade-Offs (LUTO) model, we undertook a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia's agricultural land from 2013-2050, under interacting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land-uses and assessed the sustainability of economic returns and ecosystem services at high spatial (1.1 km grid cells) and temporal (annual) resolution. We found substantial potential for land-use transition from agriculture to carbon plantings, environmental plantings, and biofuels cropping under certain scenarios, with impacts on the sustainability of economic returns and ecosystem services including food/fibre production, emissions abatement, water resource use, biodiversity services, and energy production. However, the type, magnitude, timing, and location of land-use responses and their impacts were highly dependent on scenario parameter assumptions including global outlook and emissions abatement effort, domestic land-use policy settings, land-use change adoption behaviour, productivity growth, and capacity constraints. With strong global abatement incentives complemented by biodiversity-focussed domestic land-use policy, land-use responses can substantially increase and diversify economic returns to land and produce a much wider range of ecosystem services such as emissions abatement, biodiversity, and energy, without major impacts on agricultural production. However, better governance is needed for managing potentially significant water resource impacts. The results have wide-ranging implications for land-use and sustainability policy and governance at global and domestic scales and can inform strategic thinking and decision-making about land-use and sustainability in Australia. A comprehensive and freely available 26 GB data pack (http://doi.org/10.4225/08/5604A2E8A00CC) provides a unique resource for further research. As similarly nuanced transformational change is also possible elsewhere, our template for comprehensive, integrated, quantitative, and high resolution scenario analysis can support other nations in strategic thinking and decision-making to prepare for an uncertain future.

Figures

  • Fig. 1. Broad agricultural land-use in the study area including the location of the area of in figure legend, the reader is referred to the web version of this article.) ã 2016 CSIRO. All rights reserved.
  • Table 1 Agricultural commodities considered in the LUTO model and their area of production (ABARES, 2010; Australian Bureau of Statistics, 2006).
  • Fig. 2. Schematic structure of the LUTO model and scenario specification.
  • Table 2 Description of new land-uses considered in the LUTO model.
  • Table 3 Impact of land-use on indicators of sustainability in the LUTO model.
  • Table 4 Summary of the key assumptions for four global scenarios in 2050 and projected temp
  • Fig. 3. Modelled trajectories for the global carbon price, price multipliers for crops, livestock, and oil, and national electricity price under the four global scenarios. ã 2016 CSIRO. All rights reserved.
  • Fig. 4. Projected changes in temperature, rainfall, and run-off from 2013–2050 under the four global outlooks from the CanESM, MPI-ESM-LR, and MIROC5 GCMs (Hatfield-Dodds et al., in review). ã 2016 CSIRO. All rights reserved.

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CITATION STYLE

APA

Bryan, B. A., Nolan, M., McKellar, L., Connor, J. D., Newth, D., Harwood, T., … Hatfield-Dodds, S. (2016). Land-use and sustainability under intersecting global change and domestic policy scenarios: Trajectories for Australia to 2050. Global Environmental Change, 38, 130–152. https://doi.org/10.1016/j.gloenvcha.2016.03.002

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