Journal of Geographical Sciences ›› 2020, Vol. 30 ›› Issue (8): 1219-1232.doi: 10.1007/s11442-020-1778-8
• Research Articles • Next Articles
ZHANG Chi1(), WU Shaohong1, LENG Guoyong2
Received:
2019-12-31
Accepted:
2020-05-22
Online:
2020-08-25
Published:
2020-10-25
About author:
Zhang Chi (1986-), PhD, specialized in moisture tracking and climate change. E-mail: Supported by:
ZHANG Chi, WU Shaohong, LENG Guoyong. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2[J].Journal of Geographical Sciences, 2020, 30(8): 1219-1232.
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Figure 1
(a) Scatter plot between GPP and NPP from an example grid cell in June from 2015-2100 (The line is the linear fit. r represents the correlation coefficient.); (b) Correlation coefficient distribution between GPP and NPP in June from 2015-2100 (Grids shown are all significant at the 0.05 level.)"
Figure 3
Annual mean NPP (a and b, gC m-2 a-1) and the changing trend (c and d, gC m-2 a-1 dec-1) from 2015-2050 (The left and right plots are for the results before and after the transformation from GPP, respectively. The dots indicate the areas with significant trends at the 0.05 level.)"
Figure 4
(a) The NPP changing trend in the latter part of the 21st century (gC m-2 a-1 dec-1) (The dots indicate the trends that are significant at the 0.05 level.); (b) The corresponding turning years (Only grids with negative trends in (a) are shown. The boxes represent the identified risky regions.)"
Figure 6
Temporal correlation coefficients from 2015-2100 between (a) temperature and NPP; (b) precipitation and NPP (The dots indicate the coefficients that are significant at the 0.05 level.); (c) The dominant climate factor that influences NPP (Yellow represents temperature. Blue represents precipitation. Gray represents both.)"
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