Publications by authors named "Vera L Mulder"
Sci Total Environ
April 2024
Article Synopsis
- Monitoring soil organic carbon (SOC) is essential for understanding soil dynamics and supporting climate change research, with machine learning (ML) and process-oriented (PO) models offering different strengths.
- While ML excels in spatial predictions, it struggles with temporal changes, whereas PO models leverage mechanistic insights to track SOC over time.
- A new hybrid model combining PO and ML approaches was developed for predicting topsoil SOC in eastern China, showing improved accuracy compared to using ML alone and providing valuable insights for soil management and policy in a changing climate.*
