Responses of NDVI to Climate Change and LUCC along Large-Scale Transportation Projects in Fragile Karst Areas, SW China

Wu, Yangyang; Gu, Lin; Li, Siliang; Guo, Chang; Yang, Xiaodong; Xu, Yue; Yue, Fu‐Jun; Peng, Haijun; Chen, Yinchuan; Yang, Jinli; Shi, Zhenghua; Luo, Geping

doi:10.3390/land11101771

Cited by 8 publications

(4 citation statements)

References 50 publications

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“…Correlation analysis was conducted to quantitatively examine the impact of AT0 on vegetation. Here, we chose 0.4 and 0.6 as the thresholds of the correlation coefficient

: low correlation

, moderate correlation

and high correlation

[ 29 , 30 ].…”

Section: Resultsmentioning

confidence: 99%

Dynamic changes and impacts of accumulated temperature on the Tibetan plateau from 1980 to 2018 based on the fusion of simulation and observation data

Liu,

Xia,

Gong

et al. 2024

Heliyon

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“…Correlation analysis was conducted to quantitatively examine the impact of AT0 on vegetation. Here, we chose 0.4 and 0.6 as the thresholds of the correlation coefficient

: low correlation

, moderate correlation

and high correlation

[ 29 , 30 ].…”

Section: Resultsmentioning

confidence: 99%

Dynamic changes and impacts of accumulated temperature on the Tibetan plateau from 1980 to 2018 based on the fusion of simulation and observation data

Liu,

Xia,

Gong

et al. 2024

Heliyon

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“…At the same time, a comparative analysis of the response of NDVI to climate in ecological background areas and core areas is conducted, drawing the conclusion that the Lanzhou-Xinjiang railway project has a certain impact on NDVI along the route. Wu et al (Wu et al, 2022) conducted a study on the Guiyang-Huangguoshu Expressway, exploring the impact of large-scale engineering construction on Frontiers in Environmental Science frontiersin.org vegetation within a certain range and its response to climatic factors. They concluded that the construction of expressways significantly affects the surrounding vegetation.…”

Section: Discussionmentioning

confidence: 99%

Analysis of spatial and temporal variations of NDVI and its driving factors in the corridor of Lan-Xin railway

Chen,

Yan,

et al. 2024

Front. Environ. Sci.

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Introduction: Vegetation is the main factor of ecological stability, but the construction of largescale corridor projects will bring some damage to vegetation.Methods: Based on the NDVI, temperature and precipitation data of the growing season from 1990–2021 (June to September), this paper uses the maximum synthesis method, trend analysis method, correlation analysis method and coefficient of variation method to study the spatial-temporal changes and driving factors of NDVI in the past 32 years, taking the 30 km belt buffer zone along the Lan-Xin Railway as the research area. The influence range of railway construction on NDVI in different climatic conditions is analyzed.Results: The results showed that: (1) From 1990–2021, the average annual temperature of the growing season in the study area showed an increasing trend, the average annual precipitation showed a decreasing trend, and the average annual NDVI showed an increasing trend; NDVI was positively correlated with temperature in 54.04%, and positively correlated with precipitation in 62.88%. Precipitation had a greater effect on NDVI than temperature. (2) Under the same climatic conditions, the NDVI variability coefficient in the study area fluctuates significantly within 3,000–21,000 m along the railway line, stabilizing beyond 21,000 m; the impact range of railway construction on NDVI gradually increases with increasing precipitation within the same temperature range, and increases gradually with rising temperatures within the same precipitation range. (3) During the growing season (June to September) in the study area, when the temperature is below 25°C, NDVI increases initially with increasing precipitation before decreasing, showing an overall upward trend; when the temperature is above 25°C, NDVI initially increases with increasing precipitation before decreasing. High temperature and high precipitation will inhibit vegetation growth and reduce NDVI. The NDVI of the core area before the railway construction is larger than that of the background area, while the NDVI of the core area after the railway construction is smaller than that of the background area.Discussion: In short, the construction of Lan-Xin Railway has a certain influence on NDVI along the line. When studying the impact of large-scale engineering projects on vegetation in the future, higher resolution imagery can be used along with the incorporation of human activities' influence. These factors will enable more accurate and comprehensive research.

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“…Previous studies have also shown that urbanization leads to an increase in NLI, which has a significant negative correlation with NDVI [18]. Furthermore, the increase in construction projects, such as highways and railways, also has a profound impact on the dynamic changes of vegetation along transportation lines [49]. Therefore, low or decreasing values of vegetation NPP were also observed.…”

Section: Interactions Between Climate Change and Human Activities On Nppmentioning

confidence: 91%

The Impact of Climate Change and Human Activities on the Spatial and Temporal Variations of Vegetation NPP in the Hilly-Plain Region of Shandong Province, China

Wu,

Yang,

et al. 2024

Forests

Self Cite

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Studying the spatio-temporal changes and driving mechanisms of vegetation’s net primary productivity (NPP) is critical for achieving green and low-carbon development, as well as the carbon peaking and carbon neutrality goals. This article employs various analytical approaches, including the Carnegie–Ames–Stanford approach (CASA) model, Theil–Sen median estimator, coefficient of variation, Hurst index, and land-use and land-cover change (LUCC) transition matrix, to conduct a thorough study of NPP variations in the Shandong Hilly Plain (SDHP) region. Furthermore, the geographic detector method was used to investigate the synergistic effects of meteorological changes and human activities on NPP in this region. Between 2000 and 2020, the vegetation NPP in the SDHP exhibited an average increase rate of 0.537 g C·m−2·a−1. However, the fluctuation in mean annual NPP, ranging from 203 to 230 g C·m−2·a−1, underscores an uneven growth pattern. Significant regional disparities are evident in vegetation NPP, gradually ascending from the southeast to the northwest and from the coastal areas to inland regions. The average Hurst index for the entire study area stands at 0.556, indicating an overall sustained growth trend in the time series of SDHP vegetation NPP. The vegetation NPP changes in SDHP can be well explained by climate variables (mean annual temperature, mean annual precipitation) and human activities (LUCC, night light index); of these, LUCC (q = 0.684) has the highest explanatory power on the impact of NPP and is a major influencing factor. This study deepens the understanding of the driving factors and patterns of vegetation’s dynamic response to climate change and human activities in the SDHP region. At the same time, it provides valuable scientific insights for improving ecosystem quality and promoting the carbon peaking and carbon neutrality goals.

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Responses of NDVI to Climate Change and LUCC along Large-Scale Transportation Projects in Fragile Karst Areas, SW China

Cited by 8 publications

References 50 publications

Dynamic changes and impacts of accumulated temperature on the Tibetan plateau from 1980 to 2018 based on the fusion of simulation and observation data

Dynamic changes and impacts of accumulated temperature on the Tibetan plateau from 1980 to 2018 based on the fusion of simulation and observation data

Analysis of spatial and temporal variations of NDVI and its driving factors in the corridor of Lan-Xin railway

The Impact of Climate Change and Human Activities on the Spatial and Temporal Variations of Vegetation NPP in the Hilly-Plain Region of Shandong Province, China

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