[1]WANG Yuqing,ZHANG Chengfu,LI Xiaohong.Response of NDVI to Climate Change in Typical Steppes of Inner Mongolia[J].Research of Soil and Water Conservation,2020,27(04):201-205.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 04
Page number:
201-205
Column:
目次
Public date:
2020-06-20
- Title:
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Response of NDVI to Climate Change in Typical Steppes of Inner Mongolia
- Author(s):
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WANG Yuqing1, ZHANG Chengfu1, LI Xiaohong2
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(1.College of Desert Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; 2.Electronic and Information Technology College, Hohhot 010011, China)
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- Keywords:
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meteorological elements; MODIS NDVI; SPEI; BP neural network
- CLC:
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P468
- DOI:
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- Abstract:
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Climate change has a great impact on vegetation in ecologically fragile areas. Grassland vegetation is extremely vulnerable to climate change. In order to understand the response of grassland areas to climate change and protect the healthy growth of vegetation in this area, multi-climatic factors(temperature, wind speed, precipitation)and SPEI index were used for mutation analysis and trend analysis. MODIS NDVI data and temperature, wind speed, precipitation and SPEI index were used to conduct correlation studies, and the meteorological elements responding to NDVI were predicted by BP network model. The results show that the typical grassland temperature and SPEI index had a significant increase trend after the 19th century, the wind speed had a significant decrease trend, and the precipitation had a decrease trend after the 20th century; precipitation, SPEI and NDVI are all highly correlated, indicating that precipitation is the main climatic factor affecting the growth of typical steppe vegetation; the high correlation between SPEI and NDVI indicates that drought degree and water shortage have an important influence on plant growth; as the degree of drought is mainly affected by the control of temperature, the temperature also affects the growth of plants in this area; the fluctuation of temperature and precipitation in 2019—2038 simulated by the BP network model is not big and is no big trend change compared with those of the previous years. In the following few years, the trend of temperature and precipitation is stable.