Literature DB >> 28895147

Root traits are more than analogues of leaf traits: the case for diaspore mass.

Joana Bergmann1,2, Masahiro Ryo1,2, Daniel Prati3, Stefan Hempel1,2, Matthias C Rillig1,2.   

Abstract

Root traits are often thought to be analogues of leaf traits along the plant economics spectrum. But evolutionary pressures have most likely shaped above- and belowground patterns differentially. Here, we aimed to identify the most important aboveground traits for explaining root traits without an a priori focus on known concepts. We measured morphological root traits in a glasshouse experiment on 141 common Central European grassland species. Using random forest algorithms, we built predictive models of six root traits from 97 aboveground morphological, ecological and life history traits. Root tissue density was best predicted by leaf dry matter content, whereas traits related to root fineness were best predicted by diaspore mass: the heavier the diaspore, the coarser the root system. Specific leaf area (SLA) was not an important predictor for any of the root traits. This study confirms the hypothesis that root traits are more than analogues of leaf traits within a plant economics spectrum. The results reveal a novel ecological pattern and highlight the power of root data to close important knowledge gaps in trait-based ecology.
© 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Keywords:  Central European grassland species; dispersal distance; plant economics spectrum; random forest model; seed mass; soil fungi (mycorrhiza); specific leaf area (SLA); specific root length (SRL)

Mesh:

Year:  2017        PMID: 28895147     DOI: 10.1111/nph.14748

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  10 in total

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3.  Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions.

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4.  Linking Aboveground Traits to Root Traits and Local Environment: Implications of the Plant Economics Spectrum.

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Authors:  Julia S Joswig; Christian Wirth; Meredith C Schuman; Jens Kattge; Björn Reu; Ian J Wright; Sebastian D Sippel; Nadja Rüger; Ronny Richter; Michael E Schaepman; Peter M van Bodegom; J H C Cornelissen; Sandra Díaz; Wesley N Hattingh; Koen Kramer; Frederic Lens; Ülo Niinemets; Peter B Reich; Markus Reichstein; Christine Römermann; Franziska Schrodt; Madhur Anand; Michael Bahn; Chaeho Byun; Giandiego Campetella; Bruno E L Cerabolini; Joseph M Craine; Andres Gonzalez-Melo; Alvaro G Gutiérrez; Tianhua He; Pedro Higuchi; Hervé Jactel; Nathan J B Kraft; Vanessa Minden; Vladimir Onipchenko; Josep Peñuelas; Valério D Pillar; Ênio Sosinski; Nadejda A Soudzilovskaia; Evan Weiher; Miguel D Mahecha
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  10 in total

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