2020
DOI: 10.15666/aeer/1802_35433556
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Vegetation Dynamics and Their Relations With Climate Change at Seasonal Scales in the Yangtze River Basin, China

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Cited by 5 publications
(2 citation statements)
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“…Using this method to analyze time series can avoid the obvious pseudo-correlation phenomenon caused by the trend, and the detrending method has become a typical tool to explore the characteristics of long-term memory of climatic and hydrological series [46]. Pearson correlation analysis refers to the analysis of two or more variables that are correlated to measure the degree of correlation between the two variables, which has been widely used in previous studies [47][48][49]. The two methods were used to examine the correlation between the discharge/riverine heat and SIC during the sea ice melt season.…”
Section: Detrending and Pearson Correlation Analysismentioning
confidence: 99%
“…Using this method to analyze time series can avoid the obvious pseudo-correlation phenomenon caused by the trend, and the detrending method has become a typical tool to explore the characteristics of long-term memory of climatic and hydrological series [46]. Pearson correlation analysis refers to the analysis of two or more variables that are correlated to measure the degree of correlation between the two variables, which has been widely used in previous studies [47][48][49]. The two methods were used to examine the correlation between the discharge/riverine heat and SIC during the sea ice melt season.…”
Section: Detrending and Pearson Correlation Analysismentioning
confidence: 99%
“…With these constraints, vegetation approaches an endpoint, where only little change occurs, especially in terms of dominant species [21]. However, due to often irreversible changes caused by humans (e.g., [22,23]), there may be changes in the species pool and vegetation structure, and the vegetation does not always reach the same hypothetical state [24]. Thus, there are several alternative endpoints.…”
Section: Successionmentioning
confidence: 99%