The Construction of Ecological Corridors under the Impact of Traffic: A Case Study of Ningxia Hui Autonomous Region, China

Research Assumptions
This study posits that transportation infrastructure significantly impacts the Ningxia region's ecosystem in terms of landscape, processes, and functions. Specifically, it may alter land use patterns, disrupt ecosystem processes, and change ecosystem functions. By strategically planning and constructing ecological corridors, we can mitigate these negative effects, enhance ecosystem connectivity, and boost biodiversity.

Data Display Content

The dataset encompasses:

Model Screenshots: Software modeling visually illustrates processing methods, aiding interested scholars.
Process Screenshots: These depict the full workflow, from data collection and model building to result analysis, including constructing a comprehensive resistance surface with factors like land use, elevation, and slope, as well as extracting and grading ecological corridors.
Raw Data: Comprises Ningxia's land use, elevation, slope, and transportation network data, sourced from remote sensing, GIS databases, and government statistics.
Result Data: Features ecological corridor distribution maps, ecological source area identification, connectivity and sensitivity assessments, and land use predictions. Optimized corridor layouts notably facilitate species exchange and migration, supporting sustainable development.

Data Explanation and Usage

Data Explanation: Interpretation requires considering Ningxia's unique ecology and transportation context. For instance, when assessing corridor connectivity, account for the region's complex terrain and dense transportation network. Also, recognize varying impacts on different ecosystems, like forests versus grasslands.
Data Usage: The dataset informs ecological corridor planning in Ningxia. Planners can use corridor distribution maps to avoid conflicts with transportation infrastructure and leverage ecological source area data to bolster protection, ensuring corridor effectiveness and sustainability.