Soil Respiration

Soil respiration, the release of carbon dioxide from soil, is a critical process influencing global carbon cycling and soil fertility. Current research focuses on developing accurate predictive models for soil respiration, utilizing diverse approaches such as integrating data from various sources (e.g., spectroscopy, microscopy) and employing advanced machine learning algorithms like Random Forests, Sparse Attention Regression Networks, and transformer models to improve prediction accuracy and understand the influence of factors like soil temperature, moisture, and organic carbon content. These advancements are crucial for improving soil management practices, optimizing agricultural yields, and enhancing our understanding of climate change impacts on terrestrial ecosystems.