Universität zu Köln

Korres, W., Reichenau, T. G., Fiener, P., Koyama, C. N., Bogena, H. R., Comelissen, T., Baatz, R., Herbst, M., Diekkrueger, B., Vereecken, H. and Schneider, K. (2015). Spatio-temporal soil moisture patterns - A meta-analysis using plot to catchment scale data. J. Hydrol., 520. S. 326 - 342. AMSTERDAM: ELSEVIER SCIENCE BV. ISSN 1879-2707

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Abstract

Soil moisture is a key variable in hydrology, meteorology and agriculture. It is influenced by many factors, such as topography, soil properties, vegetation type, management, and meteorological conditions. The role of these factors in controlling the spatial patterns and temporal dynamics is often not well known. The aim of the current study is to analyze spatio-temporal soil moisture patterns acquired across a variety of land use types, on different spatial scales (plot to meso-scale catchment) and with different methods (point measurements, remote sensing, and modeling). We apply a uniform set of tools to determine method specific effects, as well-as site and scale specific controlling factors. Spatial patterns of soil moisture and their temporal development were analyzed using nine different datasets from the Rur catchment in Western Germany. For all datasets we found negative linear relationships between the coefficient of variation and the mean soil moisture, indicating lower spatial variability at higher mean soil moisture. For a forest sub-catchment compared to cropped areas, the offset of this relationship was larger, with generally larger variability at similar mean soil moisture values. Using a geostatistical analysis of the soil moisture patterns we identified three groups of datasets with similar values for sill and range of the theoretical variogram: (i) modeled and measured datasets from the forest sub-catchment (patterns mainly influenced by soil properties and topography), (ii) remotely sensed datasets from the cropped part of the Rur catchment (patterns mainly influenced by the land-use structure of the cropped area), and (iii) modeled datasets from the cropped part of the Rur catchment (patterns mainly influenced by large scale variability of soil properties). A fractal analysis revealed that all analyzed soil moisture patterns showed a multifractal behavior, with at least one scale break and generally high fractal dimensions. Corresponding scale breaks were found between different datasets. The factors causing these scale breaks are consistent with the findings of the geostatistical analysis. Furthermore, the joined analysis of the different datasets showed that small differences in soil moisture dynamics, especially at the upper and lower bounds of soil moisture (at maximum porosity and wilting point of the soils) can have a large influence on the soil moisture patterns and their autocorrelation structure. Depending on the prevalent type of land use and the time of year, vegetation causes a decrease or an increase of spatial variability in the soil moisture pattern. (C) 2014 The Authors. Published by Elsevier B.V.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Korres, W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Reichenau, T. G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Fiener, P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Koyama, C. N. UNSPECIFIED UNSPECIFIED UNSPECIFIED Bogena, H. R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Comelissen, T. UNSPECIFIED UNSPECIFIED UNSPECIFIED Baatz, R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Herbst, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Diekkrueger, B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Vereecken, H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, K. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-419184
DOI:	10.1016/j.jhydrol.2014.11.042
Journal or Publication Title:	J. Hydrol.
Volume:	520
Page Range:	S. 326 - 342
Date:	2015
Publisher:	ELSEVIER SCIENCE BV
Place of Publication:	AMSTERDAM
ISSN:	1879-2707
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language REMOTE-SENSING FOOTPRINTS; SPATIAL VARIABILITY; WATER CONTENT; HYDROLOGICAL PROCESSES; SURFACE MOISTURE; CHANGE IMPACTS; SENSED IMAGES; FIELD DATA; TARRAWARRA; LAND Multiple languages Engineering, Civil; Geosciences, Multidisciplinary; Water Resources Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/41918