RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. 3C natural abundance approach for analysis of steps of organic carbon transformation in soil: application for various ecosystems

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
English
2024

3C natural abundance approach for analysis of steps of organic carbon transformation in soil: application for various ecosystems

0 Datasets

0 Files

English
2024
DOI: 10.5194/egusphere-egu24-4695

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Yakov Kuzyakov
Yakov Kuzyakov

Institution not specified

Verified
Anna Gunina
Ying Wang
Yakov Kuzyakov

Abstract

Most of the organic carbon (C) in soil is linked to various degrees with the mineral matrix, which includes the formation of aggregates and the association of organic C with clay minerals and Fe and Al hydro(oxides). Both mechanisms ensure the physical stabilization of organics against microbial decomposition and the stability of the soil system. The present work analyzed the processes of C stabilization, and C flows between the aggregate size classes of macro- and macroaggregates and density fractions (free and occluded light (FL, OL), occluded dense (OD) and mineral (MF)) based on the 13C natural abundance approach using 73 published works and looked at the two groups of factors: i) internal (edaphic soil properties) and ii) external (type of land use and climate). The global pattern showed the relative enrichment of 13C in silt + clay fraction for 0.4‰ and MF for 0.25-0.6‰ compared to bulk soil. In contrast, organics in micro- and macroaggregates and FL and OL fractions were 13C depleted, reflecting the fast decomposition of these pools and input of fresh plant-derived organics. The difference in 13C enrichment between the OL and MF fractions was 1.3‰, whereas between macroaggregates and silt+clay fraction 0.6‰, showing that density fractionation could more accurately reflect the intensity of organic C processing by microorganisms and fractions are more homogeneous in composition than aggregates. The 13C enrichment in silt + clay and MF increased with the clay content; the difference between the 13C enrichment for OL and both dense fractions and macroaggregates and silt + clay fractions rose. Forests, grasslands, and croplands showed the same trend of increasing 13C enrichment with decreasing aggregate size classes; grasslands and croplands showed higher enrichment of silt+clay associated C (~0.3‰ relative to bulk soil) than forests. Under grasslands and forests, 13C enrichment in OD and MF was higher than in agriculture, showing deep microbial processing of organic matter without structure disturbance. The differences in 13C enrichment of organic matter between the aggregate size classes (0.6-0.9‰) and density fractions (2.5-3‰) were higher under subtropical and tropical climates, compared to temperate and Mediterranean, reflecting more intensive recycling of organic matter by microorganisms. C flows between the aggregates followed the trend from macroaggregates to silt+clay fraction and from large macro- to microaggregates, reflecting the well-known sequential formation of soil structure and macro aggregates' role in stabilizing plant residues. More intensive C flows were found from FL to MF, compared to the C flow from OD to MF, pointing to the importance of plant-derived organics and microbial metabolites for the formation of MF. Thus, the global pattern of organic C transformation identified that the 13C natural abundance approach could be used for a broad range of automorphic soil types and can open a new perspective for the estimation of processes of C recycling and reveal the intensity of microbial processes depending on the land use, soil edaphic factors and climate.

How to cite this publication

Anna Gunina, Ying Wang, Yakov Kuzyakov (2024). 3C natural abundance approach for analysis of steps of organic carbon transformation in soil: application for various ecosystems. , DOI: 10.5194/egusphere-egu24-4695.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2024

Authors

3

Datasets

0

Total Files

0

Language

English

DOI

10.5194/egusphere-egu24-4695

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access