Relationships between meridional profiles of satellite-derived vegetation index (NDVI) and climate over Siberia

This study investigates the regional relationship between the satellite-derived vegetation index (Normalized Difference Vegetation Index, NDVI) and climatological parameters (temperature and precipitation) over Siberia on a 5-year (1986–1990) annual mean basis. The NDVI in Siberia shows a large value around the 60°N zone, and it gradually decreases toward the southern arid region and the low temperature polar region. This meridional profile (south–north regionality) of the NDVI was analysed in two meridional transects, along 75°E (arid–forest transect) and 110°E (forest–tundra transect). A modified warmth index (WI(0)) was utilized as a temperature index. In the 75°E transect, high positive (0.79) and negative (−0.58) correlations were found in the NDVI–precipitation and the NDVI–WI(0) meridional profiles, respectively. This fact implies that precipitation plays a role in providing water and dominates the vegetation distribution, while high temperature induces dryness and water shortages, i.e. the critical factor for the vegetation meridional profile is available water in the arid–forest transect. In the 110°E transect, a high positive (0.92) correlation was found, which suggests that the dominant factor for the NDVI profile is temperature in the forest–tundra transect, i.e. the critical factor for the vegetation meridional profile here may be temperature. Furthermore, these meridional profiles were scrutinized in terms of the station altitude and it was suggested that the NDVI tends to change depending on the WI(0) and precipitation at regional variations, which are basically the result of the altitude difference between the stations. The comprehensive relationship between the NDVI, WI(0) and precipitation regionalities is discussed in terms of six vegetation types. The result shows that high NDVI (>0.2) is observed when the WI(0) is over 40°C and precipitation is more than 2.5×WI(0)+50. Copyright © 2000 Royal Meteorological Society

[1]  J. Hunt,et al.  Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI , 1994 .

[2]  P. A. Schultz,et al.  Global analysis of the relationships among a vegetation index, precipitation and land surface temperature , 1995 .

[3]  S. Franklin,et al.  Aerial Image Texture Information in the Estimation of Northern Deciduous and Mixed Wood Forest Leaf Area Index (LAI) , 1998 .

[4]  S. Nicholson,et al.  A comparison of the vegetation response to rainfall in the Sahel and East Africa, using normalized difference vegetation index from NOAA AVHRR , 1990 .

[5]  J. Norwine,et al.  Vegetation classification based on Advanced Very High Resolution Radiometer /AVHRR/ satellite imagery , 1983 .

[6]  C. Justice,et al.  Analysis of the phenology of global vegetation using meteorological satellite data , 1985 .

[7]  M. Shinoda,et al.  Seasonal phase lag between rainfall and vegetation activity in tropical Africa as revealed by NOAA satellite data , 1995 .

[8]  T. Kira On the altitudinal arrangement of climatic zones in Japan. A contribution to the rational land utilization in cool highlands , 1948 .

[9]  G. Dedieu,et al.  Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements , 1997 .

[10]  J. Townshend,et al.  NDVI-derived land cover classifications at a global scale , 1994 .

[11]  J. Cihlar,et al.  Relation between the normalized difference vegetation index and ecological variables , 1991 .

[12]  J. D. Tarpley,et al.  Global vegetation indices from the NOAA-7 meteorological satellite , 1984 .

[13]  C. Potter,et al.  Global analysis of empirical relations between annual climate and seasonality of NDVI , 1998 .

[14]  S. Goward,et al.  Objective assessment of the NOAA global vegetation index data product , 1993 .

[15]  R. Whittaker Communities and Ecosystems , 1975 .

[16]  J. D. Tarpley The NOAA global vegetation index product-A review. , 1991 .

[17]  P. Richards,et al.  Vegetation of the Earth in Relation to Climate and the Eco-Physiological Conditions. , 1975 .

[18]  Liping Di,et al.  Modelling relationships between NDVI and precipitation during vegetative growth cycles , 1994 .

[19]  Walter H. F. Smith,et al.  Free software helps map and display data , 1991 .

[20]  J. L. Holloway Smoothing and Filtering of Time Series and Space Fields , 1958 .

[21]  J. Stone Climate change 1995: The science of climate change. Contribution of working group I to the second assessment report of the intergovernmental panel on climate change , 1997 .

[22]  J. Malingreau Global vegetation dynamics - Satellite observations over Asia , 1986 .

[23]  A. Anyamba,et al.  Interannual variability of NDVI over Africa and its relation to El Niño/Southern Oscillation , 1996 .

[24]  Monitoring land ecosystems using the NOAA Global Vegetation Index data set , 1991 .

[25]  Satellite-Derived Vegetation Index and Evapotranspiration Estimated by Using Assimilated Atmospheric , 1998 .