Preprints
https://doi.org/10.5194/hessd-3-1021-2006
https://doi.org/10.5194/hessd-3-1021-2006
16 Jun 2006
 | 16 Jun 2006
Status: this preprint was under review for the journal HESS but the revision was not accepted.

Effects of vegetation patterns on yields of the surface and subsurface waters in the Heishui Alpine Valley in west China

Y. Liu, S. An, Z. Deng, N. Fan, H. Yang, Z. Wang, Y. Zhi, C. Zhou, and S. Liu

Abstract. The relationships between different vegetation types and water yields were investigated in the Heishui Valley of the upper Yangtze River in western China. Contributions of groundwater and the water from surface and subsurface in different tributaries were, respectively, computed based on the stable isotope data, while the percentages of different vegetation covers were achieved by remote sensing in landscape scale. Based on the relationships between different vegetation types and water yields in seven watersheds, we found that reduction in the total vegetation, forest and subalpine coniferous forest covers could cause increasing in surface and subsurface water yields, while the water yield increased with the alpine shrub and meadow cover increasing, respectively. All the relationships were displayed as the low altitude and high altitude patterns, which were caused by the different vegetation characteristics and topography. We also found effects of the total vegetation cover played the most important role on water yield at large scale while the coniferous forest cover would affect the water yield at relatively small scale.

Y. Liu, S. An, Z. Deng, N. Fan, H. Yang, Z. Wang, Y. Zhi, C. Zhou, and S. Liu
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Y. Liu, S. An, Z. Deng, N. Fan, H. Yang, Z. Wang, Y. Zhi, C. Zhou, and S. Liu
Y. Liu, S. An, Z. Deng, N. Fan, H. Yang, Z. Wang, Y. Zhi, C. Zhou, and S. Liu

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