Modelling future climate change impacts on winter wheat yield and water use: A case study in Guanzhong Plain, northwestern China

2020 ◽  
Vol 119 ◽  
pp. 126113 ◽  
Author(s):  
Qaisar Saddique ◽  
De Li Liu ◽  
Bin Wang ◽  
Puyu Feng ◽  
Jianqiang He ◽  
...  
2007 ◽  
Vol 87 (S1) ◽  
pp. 109-122 ◽  
Author(s):  
D. R. Purkey ◽  
B. Joyce ◽  
S. Vicuna ◽  
M. W. Hanemann ◽  
L. L. Dale ◽  
...  

2013 ◽  
Vol 726-731 ◽  
pp. 4358-4361
Author(s):  
Jie Liu ◽  
Ben Lin Shi

The effects of climatic change on winter wheat yield in Shangqiu City are quantitatively analyzed with the predictive results of future climate change. The results show that winter wheat yield in Shangqiu City presented a fluctuated increase for overall trend. Principal component analysis indicates that air temperature, precipitation, evaporation and extreme temperatures are the main factors affecting winter wheat yield, and excessive evaporation and extremely-low temperatures are unfavorable for wheat production. The warm-and-wet climate in Shangqiu is beneficial for improvement of winter wheat production, while the cold-and-dry climate is unbeneficial.


2017 ◽  
Vol 64 (5) ◽  
pp. 731-746 ◽  
Author(s):  
Nasrin Azad ◽  
Javad Behmanesh ◽  
Vahid Rezaverdinejad ◽  
Heydar Tayfeh Rezaie

2014 ◽  
Vol 106 (4) ◽  
pp. 1169-1178 ◽  
Author(s):  
Liang He ◽  
James Cleverly ◽  
Chao Chen ◽  
Xiaoya Yang ◽  
Jun Li ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Camille Leclerc ◽  
Franck Courchamp ◽  
Céline Bellard

Abstract Despite their high vulnerability, insular ecosystems have been largely ignored in climate change assessments, and when they are investigated, studies tend to focus on exposure to threats instead of vulnerability. The present study examines climate change vulnerability of islands, focusing on endemic mammals and by 2050 (RCPs 6.0 and 8.5), using trait-based and quantitative-vulnerability frameworks that take into account exposure, sensitivity, and adaptive capacity. Our results suggest that all islands and archipelagos show a certain level of vulnerability to future climate change, that is typically more important in Pacific Ocean ones. Among the drivers of vulnerability to climate change, exposure was rarely the main one and did not explain the pattern of vulnerability. In addition, endemic mammals with long generation lengths and high dietary specializations are predicted to be the most vulnerable to climate change. Our findings highlight the importance of exploring islands vulnerability to identify the highest climate change impacts and to avoid the extinction of unique biodiversity.


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