Journal of Geographical Sciences ›› 2016, Vol. 26 ›› Issue (6): 643-657.doi: 10.1007/s11442-016-1290-3
• Research Articles • Next Articles
Yaoping CUI(), Xiaoju NING(
), Yaochen QIN*(
), Xu LI, Youmin CHEN
Received:
2015-12-29
Accepted:
2016-02-01
Online:
2016-06-15
Published:
2016-06-15
Contact:
Yaochen QIN
E-mail:cuiyp@lreis.ac.cn;nxj0655@163.com;qinyc@henu.edu.cn
About author:
Author: Cui Yaoping (1984-) specialized in land use and climate change, E-mail:
Supported by:
Yaoping CUI, Xiaoju NING, Yaochen QIN, Xu LI, Youmin CHEN. Spatio-temporal changes in agricultural hydrothermal conditions in China from 1951 to 2010[J].Journal of Geographical Sciences, 2016, 26(6): 643-657.
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Table 1
Cross-examination accuracy of interpolation methods"
Climatic factor | Examination | 1950s | 1960s | 1970s | 1980s | 1990s | 2000s |
---|---|---|---|---|---|---|---|
Annual mean temperature | Mean error of prediction | 0.025 | 0.027 | 0.023 | 0.023 | 0.028 | 0.027 |
Standard root mean square error | 1.864 | 1.284 | 1.382 | 1.433 | 1.376 | 1.405 | |
Mean temperature in the hottest month | Mean error of prediction | 0.016 | 0.021 | 0.019 | 0.020 | 0.016 | 0.017 |
Standard root mean square error | 1.293 | 1.486 | 1.378 | 1.505 | 1.225 | 1.306 | |
Mean temperature in the coldest month | Mean error of prediction | 0.023 | 0.026 | 0.021 | 0.026 | 0.036 | 0.036 |
Standard root mean square error | 1.283 | 0.938 | 0.095 | 0.982 | 1.088 | 1.085 | |
Accumulated temperature over 0°C | Mean error of prediction | 4.586 | 5.184 | 4.589 | 4.692 | 3.896 | 4.104 |
Standard root mean square error | 1.92 | 1.298 | 1.37 | 1.412 | 1.372 | 1.421 | |
Annual precipitation | Mean error of prediction | 3.679 | 1.726 | 0.704 | 2.4 | 2.008 | 2.07 |
Standard root mean square error | 1.834 | 1.44 | 1.406 | 1.496 | 1.341 | 1.268 |
Table 2
The statistical characteristics of agricultural climatic factors"
Climatic factors | Statistical factors | 1950s | 1960s | 1970s | 1980s | 1990s | 2000s |
---|---|---|---|---|---|---|---|
Annual mean temperature | Standard deviation | 6.7 | 6.7 | 6.7 | 6.6 | 6.5 | 6.5 |
Coefficient of variation | 0.6 | 0.6 | 0.6 | 0.6 | 0.5 | 0.5 | |
Mean temperature in the hottest month | Standard deviation | 4.9 | 5.1 | 5.1 | 5.0 | 4.9 | 4.8 |
Coefficient of variation | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | |
Mean temperature in the coldest month | Standard deviation | 10.6 | 10.1 | 10.2 | 10.2 | 10.1 | 10.1 |
Coefficient of variation | -3.1 | -2.7 | -3.3 | -3.9 | -4.7 | -5.2 | |
Accumulated temperature over 0°C | Standard deviation | 1798 | 1795 | 1825 | 1814 | 1824 | 1831 |
Coefficient of variation | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | |
Annual precipitation | Standard deviation | 545.5 | 527 | 550 | 541 | 572.3 | 529 |
Coefficient of variation | 0.6 | 0.6 | 0.6 | 0.6 | 0.7 | 0.6 |
Table 3
The statistical characteristics of regression analysis and significance test"
Percentage / % | Regression coefficients b>0 and f (significance) | Regression coefficients b>0 and f (non significance) | Regression coefficients b<0 and f (significance) | Regression coefficients b<0 and f (non significance) |
---|---|---|---|---|
Annual mean temperature | 85.94 | 0.86 | 10.15 | 3.06 |
Mean temperature in the hottest month | 34.19 | 10.17 | 31.86 | 23.77 |
Mean temperature in the coldest month | 81.94 | 0.12 | 16.09 | 1.84 |
Accumulated temperature over 0°C | 86.32 | 0.49 | 11.11 | 2.08 |
Annual precipitation | 6.72 | 10.87 | 35.53 | 46.89 |
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