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The Spatial Dimension of Landscape Sustainability
Authors:Robert Backhaus  Michael Bock  Stefan Weiers
Institution:(1) German Aerospace Center (DLR), German Remote Sensing Data Center, Linder Höhe, D-51147 Köln, Germany
Abstract:Sustainability indicators are mostly derived from parameters which are, in the spatial dimension, more or less distribution-free. In the majority of cases, the indicators are based on statistical data on production, consumption, pollutants emission, land use, etc. This statistical approach is liable to mask sustainability risks which are primarily caused by specific spatial and temporal patterns of landscape and land use structure, such as degradation of soil functions, disturbances in the landscape's water balance, and losses in functional habitat quality.Sustainability risks due to ecologically non-adapted spatial landuse patterns require measures on regional to local scales, based on disaggregated, spatially explicit indicators. Depending on the respective planning and decision level, different levels of spatial aggregation/disaggregation have to be considered.In the concept presented here, a differentiated approach is proposed. For an aggregated assessment of landscape sustainability, long term monitoring of the dynamics of water flow and matter load at the outlet point of river catchments is recommended. A prerequisite for analyzing those measurements in terms of the catchments' land cover and land use pattern, as well as changes thereof, is a Geographic Information System (GIS) holding relevant up-to-date geodata sets. For a spatially more detailed indication of sustainability risks, an approach of GIS-based functional landscape assessment was demonstrated in a regional case study.The results show GIS on regional to local scales together with satellite remote sensing data on land cover and landuse to be a powerful data basis for spatially explicit landscape evaluation, provided that suitable models for assessing specific landscape functions are applied.
Keywords:GIS  landscape evaluation  spatial indicators  sustainable development
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