Title :
The Relationship of Vegetation Phenology and Climate Precipitation Change in the North-South Transect of Eastern China
Author_Institution :
Beijing Agric. & Forestry Acad. of Sci., Beijing, China
Abstract :
In order to explore additional distribution patterns of global change to terrestrial ecosystems, phenology refers to seasonal biological life stages driven by environmental factors, and is considered to be a sensitive and precise indicator of climate change. Therefore, the author developed a ´bottom-up´ method for first determining the phenological growing season at sample stations, and based on NOAA/AVVHRR, meteorological data, ground phonology observation data, vegetation category data, and so on. The author built a Logistic fitting model on cumulative frequency of NDVI to determine length of greenness period since 1982, then analyzed correlation between NDVI and precipitation, primarily revealed the dynamic mechanism of climate on vegetation. The spatial pattern of average turning green and wilting dates of the growing season correlated significantly with the spatial pattern of average temperatures in spring and winter across the north south transect of eastern China during 1982 to 2003; the growing season extended on average by 5 to 8 days. Temperate desert regions had the trend of increase of desertification.
Keywords :
atmospheric precipitation; climatology; ecology; vegetation mapping; AD 1982 to 2003; NDVI cumulative frequency; NOAA/AVVHRR; North-South transect; bottom-up method; climate dynamic mechanism; climate precipitation change; eastern China; environmental factors; global change distribution patterns; greenness period; ground phonology observation data; logistic fitting model; meteorological data; phenological growing season; precipitation analysis; remote sensing-based detection model; seasonal biological life; spatial pattern; temperate desert regions; terrestrial ecosystems; vegetation category data; vegetation phenology; Agriculture; Air pollution; Green products; Meteorology; Springs; Vegetation; Vegetation mapping; NDVI; climate precipitation change Introduction; remote sensing-based detection model; the north-south transect of eastern China; vegetation phenology;
Conference_Titel :
Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
Conference_Location :
Macau, Macao
Print_ISBN :
978-1-4577-1987-5
DOI :
10.1109/iCBEB.2012.438
