DocumentCode
2241470
Title
Interactions between climate change and human activities in dryland degradation in Beijing-Tianjin sand-storm source region, China
Author
Jing-hui Liu ; Jian-Jun Wu ; Zhi-tao Wu ; Ai-Feng Lu ; Jian-Wei Yue
fYear
2012
fDate
22-27 July 2012
Firstpage
6416
Lastpage
6419
Abstract
Grassland degradation in drylands results from the integrated impacts of climate change and human activities. It is necessary to discriminate between climate and human induced dryland degradation. We applied the method of residual trends(RESTREND) to Beijing-Tianjin sand-storm source region, using NOAA/AVHRR NDVI data from 1982 to 2006 and meteorological data within the same time period. Firstly, we quantitatively analyzed NDVI-rainfall relationship and temporal responses of vegetation to rainfall. Secondly, based on this relationship we maxima constructed a regression model using the first 13 years(1982-1994) of data for each pixel between annual maximal NDVI and precipitation. Thirdly, the difference or residuals between actual and predicted maximal NDVI were derived for the 1atter 12 years(1995-2006). The negative trends in the residuals are interpreted as human-induced degradation. Finally, we tested the effectiveness of RESTREND method in this region. The results showed that the whole study area experienced a human-induced restoration from 1995 to 2006 as the result of Ecological restoration program. The results are in accord with the status of Beijing-Tianjin sand-storm source region.
Keywords
climatology; rain; regression analysis; vegetation; vegetation mapping; Beijing-Tianjin sand-storm source region; China; NDVI-rainfall relationship; NOAA/AVHRR NDVI data; RESTREND method; annual maximal NDVI; climate change; climate induced dryland degradation; ecological restoration program; grassland degradation; human activities; human induced dryland degradation; human-induced restoration; maximal NDVI; meteorological data; regression model; residual trends; temporal responses; vegetation; Correlation; Degradation; Humans; Market research; Meteorology; Vegetation; Vegetation mapping; Degradation; Human-induced; NOAA/AVHRR NDVI; Precipitation; residual trends;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352728
Filename
6352728
Link To Document