This paper investigates the use of the vegetative state of natural covers as an indicator of soil moisture conditions at the end of the dry season in order to evaluate the cumulative effect of the hydrological regime. To achieve this, the three major vegetation covers in a mountainous semiarid environment in southern Spain were selected. Temporal and spatial trends of NDVI from Landsat-TM images were computed and related to the different hydrological patterns of variables in the study site, which were obtained with the hydrological WiMMed model. The heterogeneity in the hydrological behavior during the study period (914.5 mm of annual rainfall in the wettest year (2009-2010) and 284.4 mm in the driest year (2004-2005)) was reflected in the annual differences in NDVI values with steady mean NDVI values in coniferous vegetation (0.5-0.6) and more variable values in scrub cover. Both Correlation Analysis and Principal Component Analysis showed correlations among the different states of the vegetation cover, the variables involved in the soil water balance and those related to the snow dynamics of the antecedent year. Exponential fits were obtained between the mean annual soil water content and NDVI values with Pearson r(2) coefficients of over 0.7 in scrub cover. In certain years, the best fits were also found in scrub cover with r(2) values of up to 0.9. These results demonstrate the relationship between soil water content, the vigor of the natural vegetation and the hydrological characteristics of the antecedent year. The expressions obtained may serve to adjust the soil water content at the beginning of a hydrological year and to use the scrub cover as an indicator of the soil water balance in the area for a given year. (C) 2014 Elsevier Ltd. All rights reserved.
机构:
Sun Yat Sen Univ, Sch Geog Sci & Planning, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China
Desert Res Inst, Div Earth & Ecosyst Sci, 2215 Raggio Pkwy, Reno, NV 89512 USASun Yat Sen Univ, Sch Geog Sci & Planning, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China
Tang, Guoping
Carroll, Rosemary W. H.
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Desert Res Inst, Div Hydrol Sci, Reno, NV USASun Yat Sen Univ, Sch Geog Sci & Planning, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China
Carroll, Rosemary W. H.
Lutz, Alexandra
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Desert Res Inst, Div Hydrol Sci, Reno, NV USASun Yat Sen Univ, Sch Geog Sci & Planning, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China
Lutz, Alexandra
Sun, Lin
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Sun Yat Sen Univ, Sch Geog Sci & Planning, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Geog Sci & Planning, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China