## Materials and Methods
### Research Method
#### 2.2.1 Ecological Sensitivity Assessment  
Based on the specific conditions of the Xiongan New Area, elevation data and remote sensing data were selected as the foundational materials. Land use data were then derived from remote sensing data [28]. By overlaying single-factor analyses, a comprehensive distribution map of ecological sensitivity within the Xiongan New Area was generated [29]. On the basis of analyzing various maps, textual information, and remote sensing images, combined with field surveys and expert opinions, the ecological sensitivity evaluation factors for the study area were categorized into three main groups: natural environment factors, ecological resource factors, and human activity factors [30]. The natural environment factors included elevation, slope, and aspect; ecological resource factors included water body buffers and vegetation cover; and human activity factors included land use types. These collectively form the six indicators used in the ecological sensitivity evaluation [31]. Next, weights were assigned to each factor, and a judgment matrix was constructed using the Analytic Hierarchy Process (AHP) to calculate the weight of each factor, resulting in a land use weight distribution table [32].  
Using a raster calculator, all evaluation factors were overlaid, and natural breaks were applied to cluster the evaluation results. Based on the scoring from ten experts and informed by relevant studies [33], the clustering results were then adjusted. A raster calculator was then used to perform an overlay analysis of all evaluation factors to produce a comprehensive scoring table. To further differentiate between categories and achieve clearer classification, the natural breaks method was applied, classifying the land in the  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Data Types** & **Data Names** & **Resolution** & **Sources** \\ \hline \multirow{2}{*}{Remote sensing data} & Remote sensing satellite & \multirow{2}{*}{10 m} & The European Space Agency \\  & image of the Xiongan, Hebei & & ([[https://www.esa.int/](https://www.esa.int/)]([https://www.esa.int/](https://www.esa.int/)), (accessed on 15 June 2024)) \\ \hline \multirow{3}{*}{Geographic environmental data} & Elevation data & 10 m & 91 weit ([[https://www.91](https://www.91) weit.com/]([https://www.91](https://www.91) weit.com/), (accessed on 15 June 2024)) \\ \cline{2-4}  & \multirow{2}{*}{Drainage data} & \multirow{2}{*}{10 m} & 91 weit ([[https://www.91](https://www.91) weit.com/]([https://www.91](https://www.91) weit.com/), (accessed on 15 June 2024)) \\ \cline{1-1} \cline{3-4}  & & & \\ \hline \hline \end{tabular}
\end{table}
Table 1: Data sources.  
Figure 1: Geographical location of the study area.  
Xiongan New Area into five levels of ecological sensitivity [34] (Table 2). These five sensitivity levels encompassed all land types within the Xiongan New Area, ultimately producing an ecological sensitivity distribution map for the area. The calculation formula is as follows:  
\[M{I_{j}}=\sum_{i=1}^{n}{S_{i}} \tag{1}\]  
In the formula, \(M{I_{j}}\) represents the comprehensive ecological sensitivity index for the spatial unit \(j\), \(n\) is the number of sensitivity evaluation indicators for the spatial unit \(j\), and \(S_{i}\) is the sensitivity level value for the evaluation indicator \(i\).  
Figure 2: Technical approach of this study. Step 1. Collect basic site information. Step 2. Analyze terrestrial data. Step 3. Recognition results and analysis of landscape elements. Step 4. Forming habitat networks.