Remote Sensing Monitoring and Evaluation of Degraded Grassland in China by Wei Zhou & Jianlong Li & Tianxiang Yue
Author:Wei Zhou & Jianlong Li & Tianxiang Yue
Language: eng
Format: epub
ISBN: 9789813293823
Publisher: Springer Singapore
Significant negative correlation
0.8
4.2
Unremarkable negative correlation
24.9
44.1
Unremarkable positive correlation
53.5
42.3
Significant positive correlation
10.5
4.7
Extremely significant positive correlation
10.1
3.2
(2) Partial correlation analysis
In order to explore the influence of precipitation and temperature on grassland NEP, separately, the partial correlation coefficient was calculated (Fig. 4.8). Statistical analysis showed that the partial correlation between NEP and precipitation was 0.168, between NEP and temperature was 0.03. And the partial correlation has little difference from the simple correlation coefficient. Positive correlation percentage between NEP and precipitation was 74.8%, and extremely significant positive correlation and significant positive correlation percentage was 9.6% and 10.9%, respectively. Negative correlation percentage reached to 45.8% between NEP and temperature. This result showed that temperature has no effect on the correlation between NEP and precipitation.
Fig. 4.8Partial correlation between a grassland net ecosystem productivity (NEP) and precipitation and b between NEP and temperature
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