Title of article :
Scale-dependent predictability of DEM-based landform attributes for soil spatial variability in a coastal dune system
Author/Authors :
Daehyun Kim، نويسنده , , Yanbing Zheng، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
14
From page :
181
To page :
194
Abstract :
Much soil–landform modeling has shown that the predictability of topographic parameters derived from digital elevation models (DEM) for soil spatial variability is influenced by the selection of DEMʹs grid size. This study investigates soil–terrain relationships in a coastal dune at multiple DEM resolutions to examine if such scale-dependence is a ubiquitous phenomenon even in low-relief systems with relatively homogeneous substrates. We collected 193 soil samples from the Sindu coastal dunefield in western Korea and analyzed 11 physical and chemical soil properties. Based on principal component analysis, four soil attributes (K+, pH, total P, and nitrate) that reflect dominant pedogeomorphological processes on the dune were selected as dependent variables in spatial regression. Predictors included vegetation types, distance from the coastline, and seven terrain indices extracted from various grid sizes of DEM (5, 10, 20, 30, 40 m). Results demonstrated strong scale-dependence in the model prediction: Spatial patterns of the four soil variables were best predicted by landform parameters extracted from different DEM resolutions. Specifically, we found the lowest Akaikeʹs Information Criterion for K+, pH, total P, and nitrate at scales of 5, 20, 30, and 40 m, respectively. Residuals of each soil attribute acquired at these scales also possessed the lowest degree of spatial autocorrelation identified by Moranʹs I. The scale-dependent predictability in our soil–landscape modeling implies that fine-scale topographic information would not always be optimal for understanding soil spatial variability. Future pedogeomorphological modelers therefore need to take into account the unique spatial extent and behavior of individual soil attributes to determine optimal spatial resolutions of DEM. We propose that scale-dependent soil–terrain relationships may be a widely applicable notion in soil geomorphology, not only to various terrestrial rugged hillslopes where the notion has been dominantly examined and developed, but also to systems with low topographic ruggedness and uniform substrate such as coastal dunes.
Keywords :
Soil–landform modeling , Digital elevation model , Individualistic soil behavior , GIS-based terrain analysis , Spatial resolution , Coastal dune
Journal title :
GEODERMA
Serial Year :
2011
Journal title :
GEODERMA
Record number :
1298243
Link To Document :
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