Upscaling of Environmental Information: Support of Land-Use Management Decisions by Spatio-Temporal Regionalization Approaches |
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Authors: | Dietmar Zirlewagen Klaus von Wilpert |
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Institution: | 1. Interra, Environmental Research and Monitoring, St.-Peter-Str. 30, 79341, Kenzingen, Germany 2. Department of Soil and Environment, Forest Research Institute, Wonnhaldestra?e 4, 79100, Freiburg, Germany
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Abstract: | This article presents several case studies in southwest Germany, which aimed to support land use management decisions by a
process-oriented statistical upscaling of point-related environmental monitoring data to the landscape scale. When techniques
of data subsetting were used in a sensible way and corresponding to the appropriate scale for the evaluation envisaged, multiple
linear regression offered a data mining technique which was able to spatially predict relatively complex environmental patterns
with parsimonious, interpretable and accurate models, whereby different evaluation scales were best represented by different
DTM resolutions. Scenario models based upon the regression formulas were a valuable tool for visualizing management options
and evaluating management impacts (tree species selection) on soil functions (carbon storage), which qualifies the presented
methodology as a useful aid in decision making. Such upscaling techniques may be used for forecasting long-term effects of
ecosystem management, but they provided no information on temporal dynamics. Therefore, time trends of point information on
soil solution data were scaled by linking them to soil chemical data which was available in higher spatial resolution, using
both statistical and process-oriented methods. |
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Keywords: | |
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