Ließ, M.; Glaser, B. & Huwe, B. (2009): <b>Digital Soil Mappingin Southern Ecuador</b>. <i>Erdkunde</i> <b>63</b>, 309-319.
Resource Description
Title:
Digital Soil Mappingin Southern Ecuador
FOR816dw ID:
723
Publication Date:
2009-12-08
License and Usage Rights:
Resource Owner(s):
Individual:
Mareike Ließ
Contact:
email:
mareike.liess <at> ufz.de
Helmholtz Centre for Environmental Research - UFZ
Department of Soil Physics
D-06120 Halle (Saale), Theodor-Lieser-Str. 4
Germany
email:
bernd.huwe <at> uni-bayreuth.de
University of Bayreuth
Dept. of Geosciences/ Soil Physics Devision
95440 Bayreuth
Germany
Abstract:
Soil landscape modelling is based on understanding the spatial distribution patterns of soil characteristics. A model relating the soil?s properties to its position within the landscape is used to predict soil properties in other similar landscape positions. To develop soil landscape models, the interaction of geographic information technology, advanced statistics and soil science is needed. The focus of this work is to predict the distribution of the different soil types in a tropical mountain forest area in southern Ecuador from relief and hydrological parameters using a classification tree model (CART) for soil regionalisation. Soils were sampled along transects from ridges towards side valley creeks using a sampling design with 24 relief units. Major soil types of the research area are Histosols associated with Stagnosols, Cambisols and Regosols. Umbrisols and Leptosols are present to a lesser degree. Stagnosols gain importance with increasing altitude and with decreasing slope angle. Umbrisols are to be found only on slopes <30°. Cambisols occurrence might be related to landslides.The CART model was established by a data set of 315 auger sampling points. Bedrock and relief curvature had no influence on model development. Applying the CART model to the research area Histosols and Stagnosols were identified as dominant soil types. Model prediction left out Cambisols and overestimated Umbrisols, but showed a realistic prediction<br/>
for Histosols, Stagnosols and Leptosols.
