Analyzing nonlinear contributions from climate change and anthropogenic activity to the normalized difference vegetation index across China using a locally weighted regression approach

Shen, Chenhua; Wu, Rui

doi:10.1016/j.heliyon.2023.e16694

Cited by 4 publications

(1 citation statement)

References 57 publications

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“…Temperature and precipitation are the main climatic factors affecting vegetation growth, and the existence of interactions between the two makes their effects on vegetation growth more complex. In northeastern Yinshanbeilu, an increase in precipitation decreases air temperature to the detriment of vegetation growth [ 49 ], whereas in southwestern Yinshanbeilu, warming leads to a decrease in precipitation to the detriment of vegetation growth [ 50 ], indicating that air temperature and precipitation can have indirect effects on vegetation through interactions, which are rarely quantified, and that the through-traffic analysis method, which allows for the air temperature, the direct and indirect effects of precipitation on vegetation growth can be distinguished. In this paper, it was found that the warming of the study area is not conducive to vegetation growth, while the increase in precipitation promotes the growth of vegetation greenness, which is consistent with the results obtained by Liu et al [ 51 ] using correlation analysis.…”

Section: Discussionmentioning

confidence: 99%

Considering Climatic Factors, Time Lag, and Cumulative Effects of Climate Change and Human Activities on Vegetation NDVI in Yinshanbeilu, China

Wang,

Liu,

2023

Plants

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Climate and human activities are the basic driving forces that control and influence the spatial distribution and change of vegetation. Using trend analysis, the Hurst index, correlation analysis, the Moran index, path analysis, residual analysis, and other methods, the effects of human activities and climate factors on vegetation change were analyzed. The results show that: (1) The research area’s normalized difference vegetation index (NDVI) exhibited a substantial upward trend from 2001 to 2020, increasing at a rate of 0.003/a, and the vegetation cover was generally healthy. The generally constant NDVI region made up 78.45% of the entire area, and the grassland, cultivated land, and forest land showed the most visible NDVI aggregation features. (2) The Vegetation is mainly promoted by water and heat, particularly precipitation, have a major impact on plants, with the direct influence of precipitation on vegetation growth being much greater than the indirect effect through the temperature. (3) The trend of NDVI residuals showed obvious spatial variability, presenting a distribution characteristic of high in the south and low in the north. The results of this study can provide a basis for the scientific layout of ecological protection and restoration projects in the Yinshanbeilu area.

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Section: Discussionmentioning

confidence: 99%