Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 34-49 |
| Seitenumfang | 16 |
| Fachzeitschrift | Environmental Modelling and Software |
| Jahrgang | 107 |
| Frühes Online-Datum | 4 Juni 2018 |
| Publikationsstatus | Veröffentlicht - 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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Umweltwissenschaften (insg.)
- Environmental engineering
- Umweltwissenschaften (insg.)
- Ökologische Modellierung
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in: Environmental Modelling and Software, Jahrgang 107, 09.2018, S. 34-49.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Assessing resource-use efficiency of land use
AU - Herzig, Alexander
AU - Nguyen, Trung Thanh
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
N1 - © 2018 Elsevier Ltd. All rights reserved.
PY - 2018/9
Y1 - 2018/9
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.
AB - 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.
KW - Haean catchment
KW - LUMASS
KW - Policy development
KW - Resource-use efficiency
KW - Spatial optimisation
KW - Spatial planning
UR - http://www.scopus.com/inward/record.url?scp=85049345626&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2018.05.005
DO - 10.1016/j.envsoft.2018.05.005
M3 - Article
AN - SCOPUS:85049345626
VL - 107
SP - 34
EP - 49
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
ER -