[1]LIU Yangyang,REN Hanyu,Hu Tianming,et al.Spatiotemporal Dynamics of NDVI of Grassland and Its Response to Multi-Scale Drought in China[J].Research of Soil and Water Conservation,2022,29(01):153-161+168.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 01
Page number:
153-161+168
Column:
Public date:
2022-02-20
- Title:
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Spatiotemporal Dynamics of NDVI of Grassland and Its Response to Multi-Scale Drought in China
- Author(s):
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LIU Yangyang1, REN Hanyu1, Hu Tianming1, Yang Peizhi1, BASANG Canmujue1, ZHANG Wei1, ZHANG Zhixin1, WEN Zhongming1, ZHANG Zhaoying2
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(1.College of Grassland Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China; 2.International Institute for Earth System Sciences, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China)
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- Keywords:
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multi time scale; SPEI index; maximum correlation coefficient; drought response scale
- CLC:
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K903
- DOI:
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- Abstract:
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The response of grassland to drought is more sensitive than other vegetation types, and the responses of different grassland types to drought in different climate regions are quite different. Therefore, it is of great significance to explore the response mechanism of different grassland types to drought in different climate regions for grassland resource protection. Based on vegetation NDVI data, grassland cover data and multi-scale SPEI index, the temporal and spatial dynamic trend of vegetation NDVI and its relationship with SPEI in different climatic regions(arid, semi-arid, semi humid and humid)and different grassland types from 1982 to 2015 were analyzed, and the drought time corresponding to the maximum correlation coefficient between NDVI and SPEI index in different climatic regions and grassland types was determined by combining with meteorological data, the effects of temperature, precipitation and water balance on grassland drought response mechanism were explored. The results show that NDVI of grassland in China increased significantly(0.004/a). The average value of NDVI in humid area was the highest(0.37), and the average value of NDVI in arid area was the lowest(0.24). Grassland NDVI in each climate region showed a very significant upward trend, and the increase rate in humid area was higher than that in arid area. Grassland NDVI mainly significantly increased in the North China Plain, Sichuan, Yunnan, Guangxi and the southeast of Tibet. During this period, SPEI value of grassland area showed no significant increase trend(0.05/10 a), in which 26.67% of grassland area dried significantly, and concentrated in central Inner Mongolia and Ningxia. The areas with significant positive correlation between NDVI and SPEI index concentrated in Inner Mongolia, southern Qinghai Province and northern Xinjiang. The time scales of NDVI response to drought in Inner Mongolia, Xinjiang, northern Qinghai Province and southern Tibet were shorter, while those in southeastern Qinghai and central Tibet were longer. The correlation between NDVI and SPEI was the strongest in alpine and subalpine meadows and meadow regions, and the response time scale to drought was longer, while the response time scale of desert grassland to drought was shorter. Compared with the humid area, the correlation between NDVI and SPEI was stronger in arid area, and the response time scale to drought was shorter. Precipitation was the most important factor on grassland response to drought, followed by water balance and temperature.