Bivariate probabilistic quantification of drought impacts on terrestrial vegetation dynamics in mainland China

2019 ◽  
Vol 577 ◽  
pp. 123980 ◽  
Author(s):  
Wei Fang ◽  
Shengzhi Huang ◽  
Qiang Huang ◽  
Guohe Huang ◽  
Hao Wang ◽  
...  
2022 ◽  
pp. 1-20
Author(s):  
Xihong Lian ◽  
Limin Jiao ◽  
Zejin Liu ◽  
Qiqi Jia ◽  
Jing Zhong ◽  
...  

2007 ◽  
Vol 31 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Christopher Potter ◽  
Shyam Boriah ◽  
Michael Steinbach ◽  
Vipin Kumar ◽  
Steven Klooster

2008 ◽  
Vol preprint (2008) ◽  
pp. 1
Author(s):  
Christopher Potter ◽  
Shyam Boriah ◽  
Michael Steinbach ◽  
Vipin Kumar ◽  
Steven Klooster

2008 ◽  
Vol 12 (8) ◽  
pp. 1-12 ◽  
Author(s):  
Christopher Potter ◽  
Shyam Boriah ◽  
Michael Steinbach ◽  
Vipin Kumar ◽  
Steven Klooster

Abstract Monthly composite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor was used to reconstruct vegetation dynamics in response to climate patterns over the period 2001–05 for North America. Results imply that plant growth over extensive land areas were closely coupled to El Niño–Southern Oscillation (ENSO) effects on regional climate. Areas strongly tied to recent (2002–03) ENSO climate effects were located mainly in northwestern Canada, interior Alaska, the northern Rocky Mountains of the United States, and throughout northern Mexico. Localized variations in precipitation were detected as the predominant controllers of monthly values for the MODIS fraction absorbed of photosynthetically active radiation (FPAR) over these regions.


Author(s):  
Derek Eamus ◽  
Alfredo Huete ◽  
Qiang Yu
Keyword(s):  

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