Soil respiration signals in response to sustainable soil management
  practices enhance soil organic carbon stocks
Mario Guevara
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.