## 4 Results
### Change Characteristics of Vegetation Ecological Quality  
In this research, a factor detection analysis approach was adopted to examine the influence of 12 extreme climate factors on the EQI intensity in the Tarim Basin, as well as on different vegetation types. The findings are presented in Table 3. The TN10P contributes the most to the EQI spatial distribution in the Tarim Basin (q = 0.193), followed by the RX5d (q = 0.185). The influence of the same extreme climate on the EQI varies significantly across different vegetation types. The SDII and the TX90P are identified as the primary factors influencing the EQI of forests. The SU25, TX90P, SDII, TN10P, RX5d, and other similar factors have been identified as the primary determinants influencing the vegetation EQI. Among the various factors considered, the SU25 (q = 0.299) exhibits the most significant influence on the shrub EQI. The variables of the RX1d, TN10P, RX5d, and DTR exert a substantial influence on the meadow EQI. The desert vegetation EQI is primarily influenced by the RX5d, with the RX1d having a secondary impact. It was discovered that the influence of extreme climate upon agricultural vegetation was relatively minimal, with each extreme climate factor contributing less than 10% to the agricultural vegetation EQI. Among these factors, RX1d was identified as having the greatest impact on agricultural vegetation. The study employed an interaction detector to examine how the interaction between various extreme climate factors affected the EQI. The interaction detection analysis (Figure 7) revealed that the interaction of these factors exhibited a nonlinear enhancement or a double-factor enhancement relationship with the EQI. For the whole Tarim Basin, the variables of the TX10P \(\cap\) TNNn (q = 0.296), TN10P \(\cap\) TX10P (q = 0.287), TX90P \(\cap\) TXx (q = 0.282), and TN10P \(\cap\) TX90P (q = 0.282) exhibit a significant impact on the EQI. The forest EQI is primarily influenced by the TN90P \(\cap\) SU25. The individual contribution rates of the TN90P and SU25 to the forest EQI are moderate. However, their interaction significantly enhances their overall influence. Both the shrub and meadow EQI are primarily influenced by the TX10P \(\cap\) TNNn, whereas the agricultural vegetation EQI is most affected by the TX10P \(\cap\) TNNn. The impact of the TNN on the EQI of shrub, meadow, and agricultural vegetation was found to be minimal. However, it was discovered that the TNn impact on the vegetation type EQI was enhanced when it interacted with other factors. This suggests that the TNn acts as an indirect factor that affects the EQI of shrub, meadow, and agricultural vegetation. The TX90P and RX5d exhibit the most significant contribution to the desert EQI, with the TX90P having a relatively minor effect on the desert EQI, while the RX5d has the greatest impact. The interaction between the TX90P and RX5d significantly amplifies their impact on the desert EQI. It is evident that the EQI in each vegetation type area is not only affected by a single factor but is the result of the combined action of all factors. There exist notable variations in the extent to which extreme climate factors contribute to different vegetation types.