Root structure-function relationships in 74 species : evidence of a root economics spectrum related to carbon economy
© 2016 CNRS. New Phytologist © 2016 New Phytologist Trust.
Publié dans: | The New phytologist. - 1990. - 210(2016), 3 vom: 01. Mai, Seite 815-26 |
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Auteur principal: | |
Autres auteurs: | , , , , , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2016
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Accès à la collection: | The New phytologist |
Sujets: | Journal Article Research Support, Non-U.S. Gov't economics spectrum eudicots fine-root traits graminoids nitrogen plant diversity root decomposability root respiration plus... |
Résumé: | © 2016 CNRS. New Phytologist © 2016 New Phytologist Trust. Although fine roots are important components of the global carbon cycle, there is limited understanding of root structure-function relationships among species. We determined whether root respiration rate and decomposability, two key processes driving carbon cycling but always studied separately, varied with root morphological and chemical traits, in a coordinated way that would demonstrate the existence of a root economics spectrum (RES). Twelve traits were measured on fine roots (diameter ≤ 2 mm) of 74 species (31 graminoids and 43 herbaceous and dwarf shrub eudicots) collected in three biomes. The findings of this study support the existence of a RES representing an axis of trait variation in which root respiration was positively correlated to nitrogen concentration and specific root length and negatively correlated to the root dry matter content, lignin : nitrogen ratio and the remaining mass after decomposition. This pattern of traits was highly consistent within graminoids but less consistent within eudicots, as a result of an uncoupling between decomposability and morphology, and of heterogeneity of individual roots of eudicots within the fine-root pool. The positive relationship found between root respiration and decomposability is essential for a better understanding of vegetation-soil feedbacks and for improving terrestrial biosphere models predicting the consequences of plant community changes for carbon cycling |
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Description: | Date Completed 26.12.2016 Date Revised 08.04.2022 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1469-8137 |
DOI: | 10.1111/nph.13828 |