Publications

Liu, H; Yin, CY; Zhang, RQ; Hao, WG; Wei, ZM; Gao, TM; Wang, J; Miao, HL (2019). DYNAMICS OF VEGETATION INDEX IN ARID DESERT REGION OF NORTHWEST CHINA USING ON MODIS DATA. BANGLADESH JOURNAL OF BOTANY, 48(3), 788-798.

Abstract
Arid desert grassland in Northwest China is an important ecological barrier and animal husbandry production base in the western frontier regions of China. Analysis of the temporal and spatial dynamics of vegetation growth under certain climatic conditions is of great significance for the analysis of regional ecological changes and vegetation succession processes. In order to analyze the spatial and temporal dynamic processes of different vegetation growth and the main factors of vegetation growth in the arid desert areas of China, the 250-meter resolution vegetation index MOD13A1 data product obtained by medium resolution imaging spectrometer (MODIS) was used to study the temporal and spatial variations of NDVI from 2000 to 2016 in typical arid desert in Northwest China. The results showed that seasonal and interannual variations in vegetation growth can cause seasonal and interannual synchronized changes in NDVI. Overall, the typical desert steppe vegetation showed a degraded trend in the past 17 years. The most important climatic factors affecting NDVI changes within each year were precipitation and temperature. Precipitation conditions were the main factors affecting the interannual volatility of NDVI. Precipitation and mean temperature were more correlated with NDVI during the whole growth period (May to September) than during other growth periods. The comprehensive analysis of meteorological data such as temperature and precipitation show that the climate change in the region was relatively small in the past 17 years, but it was generally becoming colder and drier, which were not conducive to vegetation growth and ecological environment improvement. It was necessary to strengthen the management and protection of desert grassland in this area and formulate a scientific and efficient Water-grass-livestock utilization system.

DOI:

ISSN:
0253-5416