Variations in land surface phenology and their response to climate change in Yangtze River basin during 1982–2015

2018 ◽  
Vol 137 (3-4) ◽  
pp. 1659-1674 ◽  
Author(s):  
Moxi Yuan ◽  
Lunche Wang ◽  
Aiwen Lin ◽  
Zhengjia Liu ◽  
Sai Qu
2016 ◽  
Vol 141 (3) ◽  
pp. 533-546 ◽  
Author(s):  
Buda Su ◽  
Jinlong Huang ◽  
Xiaofan Zeng ◽  
Chao Gao ◽  
Tong Jiang

2020 ◽  
Vol 588 ◽  
pp. 125013 ◽  
Author(s):  
Wenjie Zhong ◽  
Jing Guo ◽  
Lu Chen ◽  
Jianzhong Zhou ◽  
Junhong Zhang ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yuqian Wang ◽  
Xiaoli Yang ◽  
Mengru Zhang ◽  
Linqi Zhang ◽  
Xiaohan Yu ◽  
...  

Climate change directly impacts the hydrological cycle via increasing temperatures and seasonal precipitation shifts, which are variable at local scales. The water resources of the Upper Yangtze River Basin (UYRB) account for almost 40% and 15% of all water resources used in the Yangtze Basin and China, respectively. Future climate change and the possible responses of surface runoff in this region are urgent issues for China’s water security and sustainable socioeconomic development. This study evaluated the potential impacts of future climate change on the hydrological regimes (high flow (Q5), low flow (Q95), and mean annual runoff (MAR)) of the UYRB using global climate models (GCMs) and a variable infiltration capacity (VIC) model. We used the eight bias-corrected GCM outputs from Phase 5 of the Coupled Model Intercomparison Project (CMIP5) to examine the effects of climate change under two future representative concentration pathways (RCP4.5 and RCP8.5). The direct variance method was adopted to analyze the contributions of precipitation and temperature to future Q5, Q95, and MAR. The results showed that the equidistant cumulative distribution function (EDCDF) can considerably reduce biases in the temperature and precipitation fields of CMIP5 models and that the EDCDF captured the extreme values and spatial pattern of the climate fields. Relative to the baseline period (1961–1990), precipitation is projected to slightly increase in the future, while temperature is projected to considerably increase. Furthermore, Q5, Q95, and MAR are projected to decrease. The projected decreases in the median value of Q95 were 21.08% to 24.88% and 16.05% to 26.70% under RCP4.5 and RCP8.5, respectively; these decreases were larger than those of MAR and Q5. Temperature increases accounted for more than 99% of the projected changes, whereas precipitation had limited projected effects on Q95 and MAR. These results indicate the drought risk over the UYRB will increase considerably in the future.


2018 ◽  
Vol 28 (11) ◽  
pp. 1700-1714 ◽  
Author(s):  
Zhan Tian ◽  
Yinghao Ji ◽  
Laixiang Sun ◽  
Xinliang Xu ◽  
Dongli Fan ◽  
...  

2020 ◽  
Vol 282-283 ◽  
pp. 107867 ◽  
Author(s):  
Xinxin Chen ◽  
Lunche Wang ◽  
Zigeng Niu ◽  
Ming Zhang ◽  
Chang'an Li ◽  
...  

2019 ◽  
Vol 11 (12) ◽  
pp. 1451
Author(s):  
Fengying Zhang ◽  
Zengxin Zhang ◽  
Rui Kong ◽  
Juan Chang ◽  
Jiaxi Tian ◽  
...  

Net Primary Productivity (NPP) is a basis of material and energy flows in terrestrial ecosystems, and it is also an important component in the research on carbon cycle and carbon budget. This paper evaluated the spatial distribution pattern and temporal change trends for forest NPP simulated by the LPJ (Lund-Potsdam-Jena) model and NDVI (normalized difference vegetation index) in the Yangtze River basin from 1982 to 2013. The results revealed that: (1) the spatial distribution of the forest NPP and NDVI in the Yangtze River basin has gradually decreased from the southeast coast to the northwest. The forest NPP and NDVI in the mid-lower Yangtze were higher than that of the upper Yangtze; (2) the forest NPP and NDVI in most areas of the Yangtze River basin were positively correlated with the temperature and precipitation. Moreover, the correlations among the temperature with the forest NPP and NDVI were stronger than that of correlations among precipitation with forest NPP and NDVI. Moreover, the extreme drought event in the year of 2004–2005 led the NPP to decrease in the middle and lower Yangtze River basin; (3) human activity such as major ecological projects would have a certain impact on the NPP and NDVI. The increase in forest areas from 2000 to 2010 was larger than that from 1990 to 2000. Moreover, the increasing rate for the NDVI was higher than that of NPP, especially after the year 2000, which indicates that the major ecological projects might have great impacts on the vegetation dynamics. Moreover, more attention should be paid on the joint impacts of human activity and climate change on terrestrial NPP and NDVI.


2013 ◽  
Vol 864-867 ◽  
pp. 2725-2731
Author(s):  
Shu Hua Yin ◽  
Yan Liang Du ◽  
Yu Chun Wang ◽  
Huai Dong Zhou ◽  
Bo Gao ◽  
...  

Under the background of global climate change, the relationship of the construction of large reservoirs and the regional climate change became one of the hot research topics. Some researchers put forward the theory that the large reservoirs possibly emit considerable green house air, which might affect the regional climate. Three Gorges Reservoir (TGR) is one of large reservoirs in China, and its impacts on local climate are studied in this paper. The large scale long time series of hydrological and meteorological data in 1961~2008 is used to analyze the trend of the air temperature, precipitation, evaporation rate, rainstorm days, fog days, et. all in Yangtze River Basin and TGR area before and after the impoundment of TGR. The paper reveals that the consistency and specificity of the climate evolution in regional scale and country scale. In addition, the internal driving forces for the regional ecological environmental evolution are discussed.


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