scholarly journals The distribution and land use characteristics of alluvial fans in Lhasa River Basin in Tibet

Author(s):  
Tongde Chen ◽  
Ju Ying Jiao ◽  
Yixian Chen ◽  
Hong Lin ◽  
Haoli Wang ◽  
...  
2021 ◽  
Vol 31 (10) ◽  
pp. 1437-1452
Author(s):  
Tongde Chen ◽  
Juying Jiao ◽  
Yixian Chen ◽  
Hong Lin ◽  
Haolin Wang ◽  
...  

2020 ◽  
Vol 742 ◽  
pp. 140570 ◽  
Author(s):  
Dan Li ◽  
Peipei Tian ◽  
Hongying Luo ◽  
Tiesong Hu ◽  
Bin Dong ◽  
...  

2008 ◽  
Author(s):  
Shengwei Zhang ◽  
Yuping Lei ◽  
Li Zheng ◽  
Hongjun Li ◽  
Tianjun Tang ◽  
...  

2020 ◽  
Author(s):  
Huiting Lu ◽  
Yan Yan ◽  
Jieyuan Zhu ◽  
Tiantian Jin ◽  
Guohua Liu ◽  
...  

<p>Climate and land use/cover changes are widely recognized as two main drivers of variations in ecosystem services including water yield. However, vegetation cover condition, which can also influence the hydrological cycle through evapotranspiration process, is seldom considered. In this study, we used the Seasonal Water Yield Model (SWYM) to assess the spatiotemporal water yield changes of Lhasa River Basin from 1990 to 2015, and analysed its influencing factors by focusing on precipitation change, land cover change, and vegetation cover change (indexed by Normalized Difference Vegetation Index, i.e. NDVI). We first examined the model through Morris Screening sensitivity analysis and validated it with observed flow data. Spatiotemporal variation of three indices of water yield, baseflow, quick flow and local recharge, were then assessed. To analyse the contribution of each factor to water yield change, three scenarios were built in which one factor was altered at a time. Results showed that, the precipitation and vegetation cover change were substantial during the study period, while land cover change was quite small. From 1990 to 2015, the baseflow, local recharge and quick flow decreased by 67.03%, 80.21% and 37.03% respectively, with the change mainly occurring during 2000-2010. The spatial pattern of water yield remained mostly unchanged. The upstream area had relatively high baseflow and local recharge, and was the main contributor of quick flow. The downstream area had relatively low or even zero baseflow, and most of its local recharge was negative due to high evapotranspiration. According to contribution analysis, precipitation and vegetation cover change were the main factors affecting water yield in the Lhasa River Basin. For baseflow, the influence of precipitation change was, on average, 7.98 times as big as vegetation cover change, and the influence of vegetation cover change was, on average, 115.45 times as big as land cover change. However, land cover change began to exert greater influence after 2010. We suggest that besides climate and land use/cover change, vegetation cover change should also be studied in greater depth to fully understand its effect on regional hydrological process and ecosystem service provision.</p>


2010 ◽  
Vol 20 (3) ◽  
pp. 375-388 ◽  
Author(s):  
Yili Zhang ◽  
Chunlian Wang ◽  
Wanqi Bai ◽  
Zhaofeng Wang ◽  
Yanli Tu ◽  
...  

2019 ◽  
Vol 12 (16) ◽  
Author(s):  
Jiutan Liu ◽  
Zongjun Gao ◽  
Min Wang ◽  
Yingzhi Li ◽  
Chen Yu ◽  
...  

2018 ◽  
Vol 11 (17) ◽  
Author(s):  
Tao Zhang ◽  
Wutian Cai ◽  
Yingzhi Li ◽  
Tingting Geng ◽  
Zhiyin Zhang ◽  
...  

2020 ◽  
Vol 12 (11) ◽  
pp. 1883 ◽  
Author(s):  
Dan Li ◽  
Hongying Luo ◽  
Tiesong Hu ◽  
Dongguo Shao ◽  
Yuanlai Cui ◽  
...  

Understanding vegetation dynamics is necessary to address potential ecological threats and develop sustainable ecosystem management at high altitudes. In this study, we revealed the spatiotemporal characteristics of vegetation growth in the Lhasa River Basin using net primary productivity (NPP) and normalized difference vegetation index (NDVI) during the period of 2000–2005. The roles of climatic factors and specific anthropogenic activities in vegetation dynamics were also identified, including positive or negative effects and the degree of impact. The results indicated that the interannual series of NPP and NDVI in the whole basin both had a continuous increasing trend from 102 to 128 gC m−2 yr−1 and from 0.417 to 0.489 (p < 0.05), respectively. The strongest advanced trends (>2 gC m−2 yr−1 or >0.005 yr−1) were detected in mainly the southeastern and northeastern regions. Vegetation dynamics were not detected in 10% of the basin. Only 20% of vegetation dynamics were driven by climatic conditions, and precipitation was the controlling climatic factor determining vegetation growth. Accordingly, anthropogenic activities made a great difference in vegetation coverage, accounting for about 70%. The construction of urbanization and reservoir led to vegetation degradation, but the farmland practices contributed the vegetation growth. Reservoir construction had an adverse impact on vegetation within 6 km of the river, and the direct damage to vegetation was within 1 km. The impacts of urbanization were more serious than that of reservoir construction. Urban sprawl had an adverse impact on vegetation within a 6 km distance from the surrounding river and resulted in the degradation of vegetation, especially within a 3 km range. Intensive fertilization and guaranteed irrigation improved the cropland ecosystem conditions, creating a favorable effect on the accumulation of crop organic matter in a range of 5 km, with an NPP trend value of 1.2 gC m−2 yr−1. The highly intensive grazing activity forced ecological environmental pressures such that the correlation between livestock numbers and vegetation growth trend was significantly linear negative.


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