System and method for predicting soil organic carbon dynamics using historical climate-based microbial response modeling

Abstract

The present invention provides a novel solution for predicting soil organic carbon dynamics by combining historical climate data with current ecological indicators through a reduced complexity modeling approach. The method and system of the present invention efficiently predicts where and at what rate carbon sequestration is likely to occur by incorporating a crucial insight: soil microbial communities adapt to local climate conditions over time, creating distinct patterns of carbon sequestration potential across landscapes. The present method and system's ability to track multiple soil health indicators beyond carbon sequestration adds additional value for agricultural and ecological assessment.

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