首页|Comparison of precipitation and evapotranspiration of five different land-cover types in the high mountainous region

Comparison of precipitation and evapotranspiration of five different land-cover types in the high mountainous region

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Many rivers originate in high mountainous regions. However, the effects of climate warming on the runoff and water bal-ance in these regions remain unclear due to the lack of observational data from harsh environments, and the variable influ-ences of climate change on alpine land-cover types with different water balances. Using observations and simulations from CoupModel, water-balance values collected at five alpine land-cover types (steppe, shrub meadow, moist meadow, swamp meadow, and moraine) in a small alpine watershed, the Qilian Mountains in Northwest China, from October 2008 to September 2014, were compared. Measured evapotranspiration, multilayer soil temperatures and water contents, and frozen-depth data were used to validate CoupModel outputs. The results show that elevation is the primary influence on precipitation, evapotranspiration, and runoff coefficients in alpine regions. Land-cover types at higher elevations receive more precipitation and have a larger runoff coefficient. Notably, climate warming not only increases evapotranspiration but also particularly increases the evapotranspiration/precipitation ratio due to an upward shift in the optimum elevation of plant species. These factors lead to decrease runoff coefficients in alpine basins.

global warmingland-cover typeswater balanceelevationrunoff coefficient

Yong Yang、RenSheng Chen、YaoXuan Song、ChunTan Han、JunFeng Liu、ZhangWen Liu

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Qilian Alpine Ecology and Hydrology Research Station, Key Laboratory of Ecohydrology Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China

This work was carried out with financial support from the National Natural Sciences Foundation of ChinaNational Basic Research Program of China

414010412013CBA01806

2017

寒旱区科学(英文版)
中国科学院寒区旱区环境与工程研究所,科学出版社有限责任公司

寒旱区科学(英文版)

CSCD
影响因子：0.237
ISSN：1674-3822
年,卷(期)：2017.9(6)
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