Evaluation of spatio-temporal variations of FVC and its relationship with climate change using GEE and Landsat images in Ganjiang River Basin

Fu, Bolin; Yang, Wenlan; Yao, Hang; He, Hongchang; Lan, Guiwen; Gao, Ertao; Qin, Jiaoling; Fan, Donglin; Chen, Zhikun

doi:10.1080/10106049.2022.2082551

Cited by 11 publications

(10 citation statements)

References 51 publications

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“…The FVC showed a fluctuating increasing trend, and also human activities have different impacts on vegetation coverage under different terrain conditions. Consistent with the achievements of previous studies (Liu et al, 2021;Fu et al, 2022;Tian and Wang, 2022), the ecological environment of the Ganjiang River basin is generally showing a good trend, and at the same time, the basin is subject to some human impact.…”

Section: Discussionsupporting

confidence: 88%

“…Slope>0 indicates that the vegetation coverage in the study area shows an increasing trend; slope<0 indicates that the vegetation coverage shows a decreasing trend; and the slope around zero indicates that the changes in vegetation coverage are not obvious. In this study, trend in FVC evolution was divided into five grades (Huo and Sun, 2021;Fu et al, 2022), as shown in Table 2.…”

Section: Trend Analysismentioning

confidence: 99%

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Spatial-temporal evolution of vegetation coverage and its relationship with terrain and human factors in the upper reaches of Ganjiang River Basin, China

Liu

Huang²,

Meng³

et al. 2023

Front. Earth Sci.

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Vegetation coverage is an important indicator for evaluating regional environmental quality. Based on MODIS NDVI and DEM data collected for the upper reaches of the Ganjiang River Basin, China, this study used trend analysis, coefficient of variation, Hurst index, and linear regression to analyze the temporal and spatial evolution of vegetation coverage and its relationship with terrain factors in the basin during the years 2000–2020. The vegetation coverage in the study area showed a fluctuating increasing trend at a rate of 5%/10y, and an increasing trend with increasing elevation. The maximum vegetation coverage was identified in the elevation zone of 750–1,000 m, with an average of 83.54%. Vegetation coverage also showed an increasing trend with increasing slope. The maximum vegetation coverage was up to 82.22% in the slope zone of ≥25°. There were no significant differences among the distributions of vegetation coverage in different aspects because the terrain in the study area is not rugged enough to form barriers against sunlight. The vegetation coverage was relatively stable in the study area, with an average coefficient of variation of 14.8%. Hurst analysis showed that the anti-sustainability effect of vegetation change was stronger than that of sustainability, and weak anti-sustainability was dominant. The effects of human activities mainly concentrated in the areas of low elevation and small slopes less than 2°where cities and towns are located. The findings can provide a scientific basis for the management of regional ecosystems in the future.

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Section: Discussionsupporting

confidence: 88%

Section: Trend Analysismentioning

confidence: 99%

Spatial-temporal evolution of vegetation coverage and its relationship with terrain and human factors in the upper reaches of Ganjiang River Basin, China

Liu

Huang²,

Meng³

et al. 2023

Front. Earth Sci.

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“…Compared with the least squares estimator of a regression coefficient, which is vulnerable to gross errors and the associated confidence interval is sensitive to non‐normality of the parent distribution, the Theil–Sen slope is a non‐parametric approach offering robustness to outliers and analytical estimates of confidence intervals, and requires limited a priori information regarding measurement errors (Fernandes & Leblanc, 2005; Sen, 1968). Thiel‐Sen slope is widely used in trend analysis in ecological and environmental sciences (Fu et al., 2022; Ghanim et al., 2023; Schmale et al., 2022).…”

Section: Methodsmentioning

confidence: 99%

Anthropogenic disturbance exacerbates resilience loss in the Amazon rainforests

Wang,

Ciais,

Sitch

et al. 2023

Global Change Biology

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Uncovering the mechanisms that lead to Amazon forest resilience variations is crucial to predict the impact of future climatic and anthropogenic disturbances. Here, we apply a previously used empirical resilience metrics, lag‐1 month temporal autocorrelation (TAC), to vegetation optical depth data in C‐band (a good proxy of the whole canopy water content) in order to explore how forest resilience variations are impacted by human disturbances and environmental drivers in the Brazilian Amazon. We found that human disturbances significantly increase the risk of critical transitions, and that the median TAC value is ~2.4 times higher in human‐disturbed forests than that in intact forests, suggesting a much lower resilience in disturbed forests. Additionally, human‐disturbed forests are less resilient to land surface heat stress and atmospheric water stress than intact forests. Among human‐disturbed forests, forests with a more closed and thicker canopy structure, which is linked to a higher forest cover and a lower disturbance fraction, are comparably more resilient. These results further emphasize the urgent need to limit deforestation and degradation through policy intervention to maintain the resilience of the Amazon rainforests.

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“…They explore vegetation's role in geological disaster prevention and water conservation [22][23][24][25] , with studies indicating that enhancing vegetation cover contributes to improving natural environmental protection 26 . While researchers typically use remote sensing normalized difference vegetation index (NDVI) and statistical methods to analyze vegetation cover dynamics [27][28][29][30][31] , most studies have focused on overall trends and climate factors, neglecting detailed examinations of vegetation changes in different land types. The relationship between vegetation cover changes and land use evolution, as well as the spatiotemporal response of vegetation cover to land use changes, requires further investigation.…”

mentioning

confidence: 99%

Evaluation of vegetation restoration effectiveness along the Yangtze River shoreline and its response to land use changes

Huang,

Li,

Liu

et al. 2024

Sci Rep

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Assessing the effectiveness of vegetation restoration along the Yangtze River shoreline and exploring its relationship with land use changes are imperative for providing recommendations for sustainable management and environmental protection. However, the impact of vegetation restoration post-implementation of the Yangtze River Conservation Project remains uncertain. In this study, utilizing Sentinel-2 satellite imagery and Dynamic World land use data from pre- (2016) and post- (2022) Yangtze River Conservation Project periods, pixel-based binary models, transition matrices, and geographically weighted regression models were employed to analyze the status and evolution of vegetation coverage along the Yangtze River shoreline. The results indicated that there had been an increase in the area covered by high and high-medium vegetation levels. The proportion of vegetation cover shifting to better was 4201.87 km2 (35.68%). Hotspots of vegetation coverage improvement were predominantly located along the Yangtze River. Moreover, areas witnessing enhanced vegetation coverage experienced notable land use changes, notably the conversion of water to crops (126.93 km2, 22.79%), trees to crops (59.93 km2, 10.76%), and crops to built area (59.93 km2, 10.76%). Notably, the conversion between crops and built area emerged as a significant factor influencing vegetation coverage improvement, with average regression coefficients of 0.68 and 0.50, respectively. These outcomes underscore the significance of this study in guiding ecological environmental protection and sustainable management along the Yangtze River shoreline.

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Evaluation of spatio-temporal variations of FVC and its relationship with climate change using GEE and Landsat images in Ganjiang River Basin

Cited by 11 publications

References 51 publications

Spatial-temporal evolution of vegetation coverage and its relationship with terrain and human factors in the upper reaches of Ganjiang River Basin, China

Spatial-temporal evolution of vegetation coverage and its relationship with terrain and human factors in the upper reaches of Ganjiang River Basin, China

Anthropogenic disturbance exacerbates resilience loss in the Amazon rainforests

Evaluation of vegetation restoration effectiveness along the Yangtze River shoreline and its response to land use changes

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