## 3 Results
### Analysis of Climate Drivers of Carbon Fluxes of Spatiotemporal Evolution  
#### 3.3.1 Partial Correlation between Carbon Fluxes and Climate Factors  
Climatic factors are important environmental factors that affect the growth of bamboo forests. To quantitatively analyze the influence of climatic factors on carbon fluxes of bamboo forests, the PPC of GPP and NPP with the Pre, T\({}_{\rm min}\), and T\({}_{\rm max}\) of bamboo forests in China from 2001 to 2018 were calculated. The results are presented in Figure 9.  
Figure 8: Spatial distribution of trend changes in (**a**) GPP and (**b**) NPP, significant changes in the (**c**) GPP and (**d**) NPP of bamboo forests in China from 2001 to 2018. Figure 9a,d show the spatial distribution of the PCC of GPP and NPP with Pre, respectively. The proportions of the study area with positive correlations of GPP and NPP with Pre were 52.32% and 54.76%, respectively, mainly distributed in central Zhejiang, northwestern Jiangxi, Chongqing, and Sichuan. The proportions with negative correlations were 47.68% and 45.24%, respectively, mainly distributed in southeast Anhui, northwestern Zhejiang, and eastern Guangxi. Overall, Pre was mainly positively correlated with GPP and NPP, that is, the amount of precipitation considerably promoted the growth of bamboo forests. The proportions with significant (\(p<0.05\)) correlations of the PCC of GPP and NPP with Pre were only 5.74% and 5.67%, respectively. Figure 9b,e show the spatial distribution of the PPC of GPP and NPP with T\({}_{\rm min}\), respectively. The areas where the GPP and NPP were positively correlated with T\({}_{\rm min}\) were 44.15% and 43.68%, respectively, and were mainly distributed in northwestern Zhejiang, central Hunan, and Hubei. Meanwhile, in 55.85% and 56.32% of the areas the GPP and NPP, respectively, showed a negative correlation with T\({}_{\rm min}\), and were mainly distributed  
Figure 9: Spatial distribution of partial correlation coefficient (PPC) values of GPP with (**a**) precipitation (Pre), (**b**) minimum temperature (T\({}_{\rm min}\)), and (**c**) maximum temperature (T\({}_{\rm max}\)); NPP with (**d**) precipitation (Pre), (**e**) minimum temperature (T\({}_{\rm min}\)), and (**f**) maximum temperature (T\({}_{\rm max}\)) of bamboo forests in China from 2001 to 2018.  
in central Zhejiang, Guangdong, and Guangxi. By comparing Figure 9a,d, in addition to Figure 9b,e, it was observed that the PPC of GPP and NPP with Pre and T\({}_{\rm min}\) had opposite spatial distribution patterns. Where GPP and NPP were positively correlated with Pre the correlation was negative with T\({}_{\rm min}\), and vice versa. The proportions with significant (\(p<0.05\)) correlations of the PCC of GPP and NPP with T\({}_{\rm min}\) were only 6.13% and 6.10%, respectively. Figure 9c,f show the spatial distribution of the PCC of GPP and NPP, respectively, with T\({}_{\rm max}\). GPP and NPP were positively correlated with T\({}_{\rm max}\), accounting for 49.18% and 48.72%, respectively, mainly distributed in Guangdong, Guizhou, and western Jiangxi, and they negatively correlated with T\({}_{\rm max}\), accounting for 50.82% and 51.28%, respectively, mainly distributed in Guangxi, Anhui, Yunnan, and western Hunan. Overall, there was a nonsignificant negative correlation of GPP and NPP with T\({}_{\rm max}\), which indicated that high temperature somewhat affected the growth of bamboo forests. The proportions with significant (\(p<0.05\)) correlations of the PCC of GPP and NPP with T\({}_{\rm max}\) were only 5.13% and 5.20%, respectively. In summary, a certain correlation existed for the GPP and NPP of bamboo forests in China with precipitation and temperature, and, overall, they were positively correlated with Pre, negatively correlated with T\({}_{\rm min}\), and had an insignificant negative correlation with T\({}_{\rm max}\). In addition, there were evident spatial differences in the correlation of GPP and NPP with climatic factors, and the PPC with Pre and T\({}_{\rm min}\) exhibited complementary characteristics.