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standard deviation. In Figs. 2-5, the labeled points represent TSPs that at least appear three times under the four water conditions. Regardless of water condition, a common TSP can be found for p72 at UG 79 and for p22 at HG. There are no common points at UG 99 and WG that can represent all water conditions. However, except for the medium conditions, few more points are included. We alternatively choose the common point under the three conditions (all, wet and dry) for p41 at UG 99 and for p49 at WG. Thus there is at least one point which can be selected at each plot under various water conditions. This implies that even when data of several hydrological years or any water conditions are included, a suitable soil moisture predictor from TSP can still be obtained, which provides a basis to validate a hydraulic model. 76 Table 4.1. Correlation matrix between soil moistures of the sampling grid for different water conditions (P
Chapter 4 Temporal stability of soil moisture and its application in model result validation determined with Pearson’s correlation coefficient (Table 1). There is a close correlation between MRD under different water conditions, indicating high temporal persistence of moisture patterns in the whole investigated area. The correlation coefficient is persistently higher on the heavily grazed plot (HG) than on the other plots. This might relate to relatively small differences in soil moisture under different water conditions, and spatial homogeneity in HG (Zhao et al., 2008a). Time stable location soil moisture (%) 40 35 30 25 20 15 10 5 40 35 30 25 20 15 10 5 Fit line; y = 0.9527x + 0.0076 (R 2 = 0.98) Upper 95% confidence level Lower 95% confidence level Fit line; y = 0.9993x + 0.0008 (R 2 = 0.98) Upper 95% confidence level Lower 95% confidence level 0 0 5 10 15 20 25 30 35 40 a c Field mean soil moisture (%) Fit line; y = 0.9387x + 0.0164 (R 2 = 0.97) Upper 95% confidence level Lower 95% confidence level Fit line; y = 0.9717x + 0.0033 (R 2 = 0.98) Upper 95% confidence level Lower 95% confidence level 5 10 15 20 25 30 35 40 Fig. 4.7. Field mean soil moisture versus soil moisture of time stable point in four sites during the period of 2004-2006 (a:UG 79, b: UG 99, c: WG, and d: HG). Implications for sampling strategies The former results indicate that the spatial pattern of soil moisture slightly varies over water conditions. Temporal stability is relatively high during the wet conditions in this small catchment. This will be useful for guiding our further field sampling strategies as we may not need to collect data during wet seasons as frequently as during dry seasons. Furthermore, errors related to measurement inaccuracies will introduce a basic error of MRD and thus limits the representativeness of time stable points (TSPs). Averaging several TSPs could b d 77
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SCHRIFTENREIHE Institut für Pflanz
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Aus dem Institut für Pflanzenernä
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I Table of contents I Table of cont
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controlling soil moisture are of pa
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Zusammenfassung Überweidung wird a
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Die Beweidung beieinflusst besonder
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II List of figures Fig. 2.1. Locati
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measured soil moisture in time stab
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III List of tables Table 2.1. Descr
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1.1 Background Chapter 1 Introducti
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Chapter 1 Introduction is also unce
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Chapter 1 Introduction water in spr
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Chapter 1 Introduction requires the
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Chapter 1 Introduction Krümmelbein
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Chapter 2 Spatial variability of so
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Page 45 and 46: Chapter 2 Spatial variability of so
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Page 101 and 102: Soil water content (%) 40 30 20 10
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Chapter 6 Modeling of Coupled Water
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Chapter 7 General discussion and co
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References Chapter 7 General discus
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8. ACKNOWLEDGMENTS Firstly I would
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Curriculum Vitae M.Sc. Ying Zhao Of
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Schriftenreihe des Instituts Neuere
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