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Soil respiration signals in response to sustainable soil management practices enhance soil organic carbon stocks
April 10, 2024, 4:41 a.m. | Mario Guevara
cs.LG updates on arXiv.org arxiv.org
Abstract: 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.
abstract accuracy arxiv carbon cs.lg data data-driven development global management practices prediction scale spatial stocks sustainable temporal type
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