AIMC Topic: Biomass

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Deconstruction by C. thermocellum-from microbe mediated to dynamic redistribution of cellulosomes.

Life science alliance
Clostridium thermocellum is one of the most efficient microorganisms for the deconstruction of cellulosic biomass. To achieve this high level of cellulolytic activity, C. thermocellum uses large multienzyme complexes known as cellulosomes to break do...

Climate and traits drive bark decomposition patterns at global scale.

Nature communications
Tree bark represents a large global carbon stock, comprising 2-20 % of woody biomass, and plays a distinct role in carbon and nutrient cycling. It is poorly understood how different abiotic and biotic drivers contribute to bark decomposition globally...

Stage-Specific Drivers of Carbon-Sequestration Dynamics in Mariculture and Responses to Global Warming.

Environmental science & technology
Seaweed mariculture represents a promising blue-carbon strategy, but its carbon-sequestration dynamics and resilience to warming remain insufficiently constrained. Here, we conducted a comprehensive field assessment at a representative (nori) maricu...

Intelligent delignification: leveraging explainable AI for ozone transport modeling and optimization.

Scientific reports
Biomass is mainly composed of cellulose, hemicellulose, and lignin, where lignin is almost one-third of the amount of biomass. Lignin is removed from the biomass matrix because its complex, recalcitrant structure acts as a physical and chemical barri...

Phytoplankton Biomass Dynamics in Wet (2019) and Dry (2023) Years in Lake Pontchartrain Estuary, Louisiana from Sentinel 2-MSI and PACE-OCI Observations.

The Science of the total environment
This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm....

Biochar Lifecycle Contribution to Carbon Neutrality: Key Factors and Regulatory Mechanisms.

Environmental science & technology
Biochar, a carbon-enriched material derived from pyrolyzed biomass, has evolved from an ancient farming practice into a mature carbon sequestration technology, emerging as a pivotal strategy for achieving carbon neutrality. Nevertheless, heterogeneou...

AI-driven neural time series network forecasting and cost analysis for dye removal prediction in packed bed adsorption using ultrasonic biomass composites for sustainable wastewater management.

Environmental research
The study investigates the application of Artificial Intelligence (AI) driven neural network time series (NNTS) model for the forecasting prediction of dye removal using ultrasonic activated mixed biomass. Surface and functional characterization of u...

A hybrid ACO-random forest optimization framework for scalable microalgae biomass estimation using multispectral imaging.

Environmental monitoring and assessment
Accurate estimation of algal biomass is essential for monitoring ecosystem productivity, managing aquaculture systems, and optimizing bioresource applications. However, traditional in situ methods are labor-intensive and spatially limited, while remo...

Global Meta-Analysis Integrated with Machine Learning Assesses Context-Dependent Microplastic Effects on Soil Microbial Biomass Carbon and Nitrogen.

Environmental science & technology
Microplastics (MPs) in soil can paradoxically stimulate microbial biomass in a highly context-dependent manner, potentially inducing decomposition and affecting carbon and nitrogen cycles. We conducted a global meta-analysis with 90 studies (710 obse...

Decoding climate-induced phytoplankton dynamics in a tropical macrotidal estuary using explainable machine learning.

The Science of the total environment
Phytoplankton communities in tropical macrotidal estuaries are highly sensitive to hydroclimatic variability, particularly during extreme El Niño-Southern Oscillation (ENSO) events. This study assessed ENSO effects on phytoplankton dynamics in the Sã...