AIMC Topic: Carbon Cycle

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Risk-reward trade-off during carbon starvation generates dichotomy in motility endurance among marine bacteria.

Nature microbiology May 26, 2025
Copiotrophic marine bacteria contribute to the control of carbon storage in the ocean by remineralizing organic matter. Motility presents copiotrophs with a risk-reward trade-off: it is highly beneficial in seeking out sparse nutrient hotspots, but e...
Biomass Bacteria Carbon Aquatic Organisms Bacterial Physiological Phenomena Seawater Carbon Cycle
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Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images.

Chemosphere Jun 9, 2023
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have their respective advantages in soil carbon content prediction, and the effective fusion of VNIR and HSI is of great significance for improving the prediction ac...
Soil Deep Learning Carbon Carbon Cycle Carbon Sequestration
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Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2018
The ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-sp...
Neural Networks, Computer Machine Learning Models, Theoretical Carbon Bayes Theorem Climate Change Atmosphere Carbon Cycle Ecological Parameter Monitoring Oregon
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