Soil ecology is the foundation of the entire biosphere and plays a significant role in global ecosystems. Soil ecology is important in the decision-making aspects of mega-construction projects. Despite its significance, soil ecological quality is not normally included in environmental impact assessments for sustainable development. This study develops and presents a new expert system to assess soil microbial diversity as an indicator of soil ecology quality using decision tree (DT) algorithms and GIS (geographic information system)-based spatial analysis. Our modeling results show that forward and backward DT models provide development-oriented and conservation-oriented information maps. To resolve potential conflicts by the different model predictions, a new mapping approach was developed for identifying strict conservation and potential development areas. These results suggest that the newly developed soil ecological quality assessment system can be used for planning mega-construction projects.
Bibliographical noteFunding Information:
This research was supported by the Korea Ministry of Environment via the GAIA project (grant number: 141-081-034).
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Artificial Intelligence