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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A global budget for fine root biomass, surface area, and nutrient contents

Open access
Jackson, R. B., Mooney, H. A., Schulze, E.-D.·1997·Proceedings of the National Academy of Sciences

Abstract

Global biogeochemical models have improved dramatically in the last decade in their representation of the biosphere. Although leaf area data are an important input to such models and are readily available globally, global root distributions for modeling water and nutrient uptake and carbon cycling have not been available. This analysis provides global distributions for fine root biomass, length, and surface area with depth in the soil, and global estimates of nutrient pools in fine roots. Calculated root surface area is almost always greater than leaf area, more than an order of magnitude so in grasslands. The average C:N:P ratio in living fine roots is 450:11:1, and global fine root carbon is more than 5% of all carbon contained in the atmosphere. Assuming conservatively that fine roots turn over once per year, they represent 33% of global annual net primary productivity.

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Crossref · 10.1073/pnas.94.14.7362

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Metadata

Authors
Jackson, R. B., Mooney, H. A., & Schulze, E.-D.
Venue
Proceedings of the National Academy of Sciences
Published
1997-07-08
Volume
94
Issue
14
Pages
7362-7366
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2132559026
Cited by
1,480
References
3
FWCI
23.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A global budget for fine root biomass, surface area, and nutrient contents. https://app.cochat.ai/papers/10.1073/pnas.94.14.7362
The paper
Jackson, R. B., Mooney, H. A., & Schulze, E.-D. (1997). A global budget for fine root biomass, surface area, and nutrient contents. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.94.14.7362

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.