Soil respiration signals in response to sustainable soil management practices enhance soil organic carbon stocks
This work addresses soil carbon dynamics for climate change mitigation by showing how sustainable practices enhance carbon storage, though it is incremental as it builds on existing data-driven modeling approaches.
The study developed a global spatial-temporal model to predict soil respiration using soil temperature, moisture, and organic carbon, achieving high accuracy (NSE 0.69, CCC 0.82) from 1991 to 2018, and found that sustainable soil management practices lead to lower respiration trends, higher respiration magnitudes, and increased soil organic carbon stocks.
Development of a spatial-temporal and data-driven model of soil respiration at the global scale based on soil temperature, yearly soil moisture, and soil organic carbon (C) estimates. Prediction of soil respiration on an annual basis (1991-2018) with relatively high accuracy (NSE 0.69, CCC 0.82). Lower soil respiration trends, higher soil respiration magnitudes, and higher soil organic C stocks across areas experiencing the presence of sustainable soil management practices.