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Annals of Forest Science

, 75:76 | Cite as

An integrated method for high-resolution definition of new diameter-based fine root sub-classes of Fagus sylvatica L.

  • Antonio Montagnoli
  • Mattia Terzaghi
  • Barbara Giussani
  • Gabriella S. Scippa
  • Donato Chiatante
Research Paper

Abstract

Key message

Compared to the traditional approach, applying micrometric image analysis to fine root samples of Fagus sylvatica with subsequent data treatment through principal component and cluster analysis yielded specific diameter sizes for fine root sub-classes having better resolution of the corresponding branching orders, and a more coherent relationship with the values of annual production and turnover rate.

Context

Fine root traits are poorly understood, impeding an accurate representation of terrestrial biogeochemical models. Traditionally used, arbitrary diameter thresholds lead to a misestimation of fine root traits such as branching order, environmental relationship, annual production, and turnover rate.

Aims

Here, we present, as modification of the traditional method, an integrated approach to segregate, at high-resolution, fine root populations of Fagus sylvatica into new diameter sub-classes that better correspond with the traits mentioned above.

Methods

Samples, collected with a sequential soil coring method, were subjected to a micrometric image analysis, and resultant data were treated with principal component and cluster analysis.

Results

Results showed that fine roots were distributed into diameter-size sub-classes (0–0.3 mm, 0.3–1 mm, and 1–2 mm) different from those determined by traditional methods (0–0.5 mm, 0.5–1 mm, and 1–2 mm). New sub-classes provided a better resolution of the corresponding branching-orders, and the values of annual production and turnover rate were more coherent with diameter class and soil depth. Moreover, new sub-classes provided a more precise match with soil temperature than traditional methods.

Conclusion

Our method may help to unveil fine root dynamics and development, reduce data analysis time, and make the diameter-based classification more precise and trustworthy even in the case of non-intact samples.

Keywords

Branching order Fine root production Fine root turnover rate Soil temperature Root diameter PCA 

Notes

Acknowledgments

We are grateful to Dr. Kasten Dumroese (USDA Forest Service, Moscow, ID, USA) for critically reviewing the manuscript.

Funding

This work was supported in part by the University of Insubria (FAR) and the EC FP7 Project ZEPHYR-308313.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Biotechnology and Life ScienceUniversity of InsubriaVareseItaly
  2. 2.Department of Science and High TechnologyUniversity of InsubriaComoItaly
  3. 3.Department of Biosciences and TerritoryUniversity of MolisePesche (IS)Italy

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