Abstract
Long-term GIMMS AVHRR NDVI3g (1982∼2013) remote sensing image was used to obtain the equivalent biomass of winter wheat and summer maize in Xiayi and Yongcheng experimental sites as well as the change trend of vegetation SOS, EOS and LOS by regression analysis, Gaussian fitting and NDVI volume integration, and combined with climate driving factors (precipitation, temperature) to analyze the correlation between these trends and vegetation index changes. The results showed that (1) The vegetation index of 32a in the study areas showed an increasing trend, the vegetation growth of Yongcheng was better than that of Xiayi, and the NDVI equivalent biomass was higher than that of Xiayi; (2) The SOS of the Yongxia experimental sites was significantly advanced, and the EOS was slightly advanced, resulting in a significant increase in the vegetation growth period in the two study areas, and the increase of vegetation LOS in Yongcheng experimental area was about 3 times that of summer maize. The advancement of LOS was the main way to respond to climate change by vegetation activities in Yongxia areas; (3) The NDVI in the study areas was significantly positively correlated with temperature and had no significant correlation with precipitation.
Published Version
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