DocumentCode :
2708143
Title :
Impacts of ice storm on forest gross primary productivity detected using multi-source remote sensing data
Author :
Zhu, Yanjun ; Ju, Weimin ; Zhou, Yanlian
Author_Institution :
Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
Impact of climate on the terrestrial carbon cycle is a focus of global change study. However, only a few researches have been conducted to investigate the influences of extreme climate events on terrestrial carbon cycling. This study takes Jian city, Jiangxi Province, China, as the study area to assess the regional change of gross primary productivity (GPP) caused by the severe ice storm hitting China in early 2008 using the remote sensing-driven VPM model and MODIS data. The severe ice storm caused a considerable decrease in GPP, especially during the period from Julian day 9 to Julian day 49, 2008. The average GPP values during this period were 0.4~0.5 g C/m2 d lower compared with the 2001-2007 averages. Meanwhile, further analysis indicated that decrease in GPP differed spatially and was closely related to local topography.
Keywords :
atmospheric precipitation; climatology; forestry; ice; radiometry; remote sensing; storms; topography (Earth); AD 2008; China; GPP; Jian city; Jiangxi province; MODIS data; climate effects; extreme climate events; forest gross primary productivity; ice storm effects; local topography; multisource remote sensing data; remote sensing driven VPM model; terrestrial carbon cycle; Carbon; Ecosystems; Ice; Solar radiation; Storms; Vegetation; Eddy covariance; Gross primary productivity (GPP); Ice storm in Southern China; Topographic effect; Vegetation photosynthesis model (VPM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980807
Filename :
5980807
Link To Document :
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