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Abstract
The majority of soil carbon (C) is stored in organic matter associated with reactive minerals. These mineral-organic associations (MOAs) inhibit microbial and enzymatic access to organic matter, suggesting that organic C within MOAs is resistant to decomposition. However, plant roots and rhizosphere microbes are known to transform minerals through dissolution and exchange reactions, implying that MOAs in the rhizosphere can be dynamic. Here we identify key drivers, mechanisms, and controls of MOA disruption in the rhizosphere and present a new conceptual framework for the vulnerability of soil C within MOAs. We introduce a vulnerability spectrum that highlights how MOAs characteristic of certain ecosystems are particularly susceptible to specific root-driven disruption mechanisms. This vulnerability spectrum provides a framework for critically assessing the importance of MOA disruption mechanisms at the ecosystem scale. Comprehensive representation of not only root-driven MOA formation, but also disruption, will improve model projections of soil C-climate feedbacks and guide the development of more effective soil C management strategies.
Academic Publication Vulnerability of mineral-organic associations in the rhizosphere
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Vulnerability of mineral-organic associations in the rhizosphere
Abstract The majority of soil carbon (C) is stored in organic matter associated with reactive minerals. These mineral-organic associations (MOAs) inhibit microbial and enzymatic access to...
Effects of Rhizosphere Colonization by Plant Growth-Promoting Rhizobacteria on Potato Plant Development and Yield
Two strains of fluorescent Pseudomonas spp. isolated from potato periderms and from celery roots significantly increased growth of potato plants up to 500% greater than controls in greenhouse assay...
Vulnerability of mineral-associated soil organic carbon to climate across global drylands
No description provided.
Multifaceted Ability of Organic Fertilizers to Improve Crop Productivity and Abiotic Stress Tolerance: Review and Perspectives
The long-term use of chemical fertilizers poses a serious threat to crop productivity and soil quality. Organic fertilizers are used to improve the soil fertility and crop productivity. The applica...
Intercropping enhances maize growth and nutrient uptake by driving the link between rhizosphere metabolites and microbiomes
Summary Intercropping leads to different plant roots directly influencing belowground processes and has gained interest for its promotion of increased crop yields and resource utilization. Howeve...
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What is the core focus of the research titled 'Vulnerability of mineral-organic associations in the rhizosphere'?
This literature focuses on: Abstract The majority of soil carbon (C) is stored in organic matter associated with reactive minerals. These mineral-organic associations (MOAs) inhibit microbial and enzymatic access to organic matter, suggesting that organic C within ...
Are there open-source GitHub repositories related to Vulnerability of mineral-organic associations in the rhizosphere?
Yes, open-source projects like Nightmare-Eclipse/RedSun (The Red Sun vulnerability repository) are actively building upon these concepts.
Which startups are commercializing the technology behind Vulnerability of mineral-organic associations in the rhizosphere?
Products like Astra Autonomous Pentest are bringing this to market. Their focus is: AI agents that find, validate, and fix every vulnerability.
What other academic literature is closely related to 'Vulnerability of mineral-organic associations in the rhizosphere'?
Yes, highly correlated activity was mapped. An entry titled 'Vulnerability of mineral-organic associations in the rhizosphere' discusses this: Abstract The majority of soil carbon (C) is stored in organic matter associated with reactive minerals. These mineral-organic association...
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Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
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GitHubNightmare-Eclipse/RedSun
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GitHubNightmare-Eclipse/YellowKey
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Product HuntAstra Autonomous Pentest