Assessing resource-use efficiency of land use

Research output: Contribution to journal › Article › Research › peer review

Authors

  • Alexander Herzig
  • Trung Thanh Nguyen
  • Anne Gaelle E. Ausseil
  • Ganga Ram Maharjan
  • John R. Dymond
  • Sebastian Arnhold
  • Thomas Koellner
  • Daniel Rutledge
  • John Tenhunen

Research Organisations

External Research Organisations

  • Landcare Research
  • University of Bayreuth
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Details

Original languageEnglish
Pages (from-to)34-49
Number of pages16
JournalEnvironmental Modelling and Software
Volume107
Early online date4 Jun 2018
Publication statusPublished - Sept 2018

Abstract

We introduce an explicit indicator and the Land Use Management Support System to assess the resource-use efficiency of land use (RUE) at the landscape scale. To estimate RUE, we relate land-use performance with regard to ecosystem services indicators to the maximum possible land-use performance based on an optimised land-use configuration. The test application of the RUE assessment in the Haean catchment, South Korea, shows that the land-use system's RUE could be increased by 11% for both nitrate and sediment loss. The estimated headroom could indicate whether potential contaminant reduction targets for the downstream water reservoir Lake Soyang could be achieved with the current land-use system. The recurring RUE assessment for a given region might indicate the effectiveness of spatial planning and policy measures to improve the RUE in that region. Future work should address the integration of RUE into a participatory spatial planning or resource-management framework.

Keywords

    Haean catchment, LUMASS, Policy development, Resource-use efficiency, Spatial optimisation, Spatial planning

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Assessing resource-use efficiency of land use. / Herzig, Alexander; Nguyen, Trung Thanh; Ausseil, Anne Gaelle E. et al.
In: Environmental Modelling and Software, Vol. 107, 09.2018, p. 34-49.

Research output: Contribution to journal › Article › Research › peer review

Herzig, A, Nguyen, TT, Ausseil, AGE, Maharjan, GR, Dymond, JR, Arnhold, S, Koellner, T, Rutledge, D & Tenhunen, J 2018, 'Assessing resource-use efficiency of land use', Environmental Modelling and Software, vol. 107, pp. 34-49. https://doi.org/10.1016/j.envsoft.2018.05.005
Herzig, A., Nguyen, T. T., Ausseil, A. G. E., Maharjan, G. R., Dymond, J. R., Arnhold, S., Koellner, T., Rutledge, D., & Tenhunen, J. (2018). Assessing resource-use efficiency of land use. Environmental Modelling and Software, 107, 34-49. https://doi.org/10.1016/j.envsoft.2018.05.005
Herzig A, Nguyen TT, Ausseil AGE, Maharjan GR, Dymond JR, Arnhold S et al. Assessing resource-use efficiency of land use. Environmental Modelling and Software. 2018 Sept;107:34-49. Epub 2018 Jun 4. doi: 10.1016/j.envsoft.2018.05.005
Herzig, Alexander ; Nguyen, Trung Thanh ; Ausseil, Anne Gaelle E. et al. / Assessing resource-use efficiency of land use. In: Environmental Modelling and Software. 2018 ; Vol. 107. pp. 34-49.
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AU - Ausseil, Anne Gaelle E.

AU - Maharjan, Ganga Ram

AU - Dymond, John R.

AU - Arnhold, Sebastian

AU - Koellner, Thomas

AU - Rutledge, Daniel

AU - Tenhunen, John

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N2 - We introduce an explicit indicator and the Land Use Management Support System to assess the resource-use efficiency of land use (RUE) at the landscape scale. To estimate RUE, we relate land-use performance with regard to ecosystem services indicators to the maximum possible land-use performance based on an optimised land-use configuration. The test application of the RUE assessment in the Haean catchment, South Korea, shows that the land-use system's RUE could be increased by 11% for both nitrate and sediment loss. The estimated headroom could indicate whether potential contaminant reduction targets for the downstream water reservoir Lake Soyang could be achieved with the current land-use system. The recurring RUE assessment for a given region might indicate the effectiveness of spatial planning and policy measures to improve the RUE in that region. Future work should address the integration of RUE into a participatory spatial planning or resource-management framework.

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