## 5 Discussion  
1. Concerning spatial disparities, the primary efforts to enhance water conservation function in Yunnan Province should be concentrated on low-value areas, with particular emphasis on regions such as Chuxiong and Zhaotong, which have long struggled with lower conservation levels. Within the key ecological functional areas, Wuliangshan Ailaoshan Biodiversity Protection Zone should prioritize bolstering the management of water source conservation functions in the Yuxi and Honghe regions, while the preservation of biodiversity in western Yunnan should place special attention on Baoshan. In the case of the Northwest Yunnan Plateau, with the exception of Dehong, other cities and prefectures exhibit minimal improvements in both biodiversity protection and water conservation. Moreover, it is imperative to intensify the protection of water conservation function in the karst regions of Qujing and Zhaotong on the Yunnan-Guizhou Plateau. 2. Regarding the primary influencing factors, both single-factor analysis and interactive assessment consistently point to natural factors as the predominant drivers behind the spatial variations in water conservation functions, corroborating with findings from prior research [42]. Nevertheless, it is essential to acknowledge that other \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline  & \multicolumn{2}{c}{**2000–2010**} & & \multicolumn{3}{c}{**2010–2018**} & & \multicolumn{3}{c}{**2000–2018**} \\
**Reciprocal** & **Q-Value** & **Type** & **Reciprocal** & _q-Value_ & **Type** & **Reciprocal** & _q-Value_ & **Type** \\
**Factor** & **Q-Value** & **Type** & **Factor** & _q-Value_ & **Type** & **Factor** & _q-Value_ & **Type** \\ \hline \(X_{1}\cap X_{2}\) & 0.875 & BE & \(X_{1}\cap X_{2}\) & 0.911 & BE & \(X_{1}\cap X_{8}\) & 0.922 & NE \\ \(X_{1}\cap X_{9}\) & 0.860 & NE & \(X_{1}\cap X_{8}\) & 0.889 & BE & \(X_{1}\cap X_{9}\) & 0.919 & NE \\ \(X_{1}\cap X_{6}\) & 0.858 & BE & \(X_{1}\cap X_{6}\) & 0.887 & BE & \(X_{1}\cap X_{4}\) & 0.912 & BE \\ \(X_{1}\cap X_{8}\) & 0.844 & NE & \(X_{1}\cap X_{9}\) & 0.886 & NE & \(X_{1}\cap X_{6}\) & 0.909 & BE \\ \(X_{1}\cap X_{4}\) & 0.839 & BE & \(X_{1}\cap X_{4}\) & 0.875 & BE & \(X_{1}\cap X_{2}\) & 0.906 & BE \\ \(X_{1}\cap X_{7}\) & 0.837 & BE & \(X_{1}\cap X_{7}\) & 0.871 & BE & \(X_{1}\cap X_{7}\) & 0.903 & BE \\ \(X_{2}\cap X_{4}\) & 0.668 & BE & \(X_{2}\cap X_{4}\) & 0.770 & BE & \(X_{2}\cap X_{4}\) & 0.660 & BE \\ \(X_{2}\cap X_{6}\) & 0.546 & NE & \(X_{2}\cap X_{8}\) & 0.739 & BE & \(X_{2}\cap X_{9}\) & 0.644 & NE \\ \(X_{2}\cap X_{9}\) & 0.530 & BE & \(X_{2}\cap X_{7}\) & 0.711 & BE & \(X_{2}\cap X_{8}\) & 0.637 & NE \\ \(X_{4}\cap X_{8}\) & 0.507 & NE & \(X_{2}\cap X_{6}\) & 0.705 & BE & \(X_{2}\cap X_{6}\) & 0.601 & NE \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Dynamic time interval interactive detection of geographic detectors. factors have also contributed to some extent to the spatial differentiation of water conservation functions. This is especially evident in interactive detection, highlighting that the impact of socio-economic factors on regional water source conservation function typically occurs within interactive contexts. Previous studies have identified two scenarios in Yunnan Province: resource water shortage and engineering water shortage [20]. As a result, in the ongoing trajectory of urban economic development, it is imperative to strike a balance between regional ecological functions and minimize adverse impacts on regional water source conservation as much as possible. 3. It is important to highlight that Yunnan Province's climate types and terrain are relatively intricate, and climate data are influenced by factors such as meteorological station selection and interpolation methods. Future research should aim to enhance the precision of results by expanding the dataset and conducting comparisons among various interpolation techniques. In terms of factor analysis, this study does not offer specific explanations for different terrains and climate zones.