[1]HUANG Dui,PENG Anbang,LIU Jiufu,et al.Multi Temporal and Spatial Scale Responses of Vegetation Dynamics to Climate Factors[J].Research of Soil and Water Conservation,2023,30(03):268-278.[doi:10.13869/j.cnki.rswc.2023.03.046]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 03
Page number:
268-278
Column:
Public date:
2023-04-10
- Title:
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Multi Temporal and Spatial Scale Responses of Vegetation Dynamics to Climate Factors
- Author(s):
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HUANG Dui1, PENG Anbang1, LIU Jiufu1,2, ZHANG Jianyun1, WANG Wenzhong' target="_blank" rel="external"> WANG Wenzhong2, WANG Wen3
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(1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China; 2.Nanjing Automation Institute of Water Conservancy and Hydrology, Nanjing 210012, China; 3.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)
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- Keywords:
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EVI; precipitation; temperature; multi temporal and spatial scales; response characteristic
- CLC:
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TP79
- DOI:
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10.13869/j.cnki.rswc.2023.03.046
- Abstract:
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[Objective]To profoundly understand the difference in vegetation response to climate at different spatiotemporal scales plays an important guiding role in ecological construction and sustainable agricultural development. [Methods] Firstly, the pattern and the dynamics change of EVI(enhanced vegetation index)and key driving climate factors(precipitation and the average, minimum and maximum air temperature were investigated using the GRC method and the Mann-Kendall trend test, and then vegetation activity responses to climate change at multiple spatial(from pixel scale to basin scale)and temporal scales(yearly, seasonal and monthly)were examined based Pearson correlation coefficient and t-test method. [Results] The average EVI of the middle and upper reaches of the Huaihe River basin showed a significant growth trend with a growth rate of 0.055/decade. EVI increased over 93% of the study area from 2001 to 2015, with a significant and extremely significant upward trend observed in 82% of the basin. The EVI in spring was significant positively affected by precipitation of the same period and the previous period(p<0.05), and EVI in winter was significantly negatively affected by precipitation(p<0.01). Monthly EVI showed a significant positive response to Tmin in March and November and a negative response to Tmax in September(p<0.05), and in December positive and significant negative responses to Tmax and precipitation, respectively(p<0.05). The correlation between seasonal and monthly EVI and meteorological factors on a local scale was different in different regions. EVI of Gushi located in south of the Huaihe River was positively affected by precipitation in winter, while other regions in the north of Huai River have no such correlation. In February, November and December, vegetation of Zhumadian was mainly positively affected by the temperature(p<0.05). The precipitation in April and July had a positive effect on the vegetation in Xuchang(p<0.05), and the vegetation had a one-month lag response to the precipitation in May and August. From July to August, the EVI in Gushi had a significant positive and negative correlation with the precipitation and temperature(p<0.05)and a very significant negative correlation with the temperature in September, there was the one-month lag response of vegetation to temperature in October(p<0.01). [Conclusion] The correlations between watershed-scale EVI and local-scale EVI and meteorological factors effectively reflect the regional differences of the main vegetation growth characteristics and vegetation change drivers in the watershed, respectively, and human activities have obvious positive and negative effects on vegetation in the cultivation and urban areas, which can provide theoretical support for ecological construction and sustainable agricultural development in the watershed.