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Root traits as key proxies to unravel plant and ecosystem functioning: entities, trait selection and outlook
Boris Rewald, Gregoire T. Freschet, Catherine Roumet, Alexia Stokes, Monique Weemstra, Richard D Bardgett, A. Glyn Glyn Bengough, Louise H Comas, Gerlinde B de Deyn, David Johnson, Jitka Klimešová, Martin Lukac, M. Luke Luke Mccormack, Ina C Meier, Loïc Pagès, Hendrik Poorter, Ivan Prieto, Nina Wurzburger, Marcin Zadworny

Root traits as key proxies to unravel plant and ecosystem functioning: entities, trait selection and outlook

Science & Mathematics Published 2020 Verification Pending

Overview & Synopsis

Root systems show a tremendous diversity both between and within species, suggesting a large variability in plant functioning and effects on ecosystem properties and processes. In recent decades, developments in many areas of root research have brought considerable advances in our understanding of root traits and their contribution to plant and ecosystem functioning. However, despite major progress, a comprehensive overview—bridging research fields—is lacking. Furthermore, considerable uncertainties exist in the identification of root entities, and the selection and standardized measurement of traits. Here, we provide a comprehensive overview on root entities, exemplify recent advances in our understanding of both theoretical and demonstrated relationships between root traits and plant or ecosystem functioning, discuss trait-trait relationships and hierarchies among traits, and critically assess current strengths and gaps in our knowledge.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Root traits as key proxies to unravel plant and ecosystem functioning: entities, trait selection and outlook
Author / Organization Boris Rewald, Gregoire T. Freschet, Catherine Roumet, Alexia Stokes, Monique Weemstra, Richard D Bardgett, A. Glyn Glyn Bengough, Louise H Comas, Gerlinde B de Deyn, David Johnson, Jitka Klimešová, Martin Lukac, M. Luke Luke Mccormack, Ina C Meier, Loïc Pagès, Hendrik Poorter, Ivan Prieto, Nina Wurzburger, Marcin Zadworny
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2020
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-153438
Original Source Link Visit Source Page on hal.science »