Still standing: persistence traits capture belowground plant functions beyond resource exploration and acquisition
Authors:
- Shersingh Joseph Tumber‐DávilaSTShersingh Joseph Tumber‐Dávila
- Karl AndraczekKAKarl Andraczek
- Daniel C. LaughlinDLDaniel C. Laughlin
- Helge BruelheideHBHelge Bruelheide
- Aline B. BomboABAline B. Bombo
- Ying FanYFYing Fan
- Alessandra FidelisAFAlessandra Fidelis
- Grégoire T. FreschetGFGrégoire T. Freschet
- Justus HenneckeJHJustus Hennecke
- Cody Coyotee HowardCHCody Coyotee Howard
- Saheed O. JimohSJSaheed O. Jimoh
Open Access
- 1 September 2026
- journal article
- Published by Wiley in New Phytologist
Abstract
Summary: Belowground plant trait research has predominantly focused on trade‐offs in fine‐root traits via the root economics space (RES). Yet, this fine‐root framework captures only a fraction of the functional strategies plants employ beneath the soil surface. Here, we broaden the perspective on belowground plant functioning by integrating traits related to root system extent, clonality, and bud banks, using data from the new UNDERPLOT dataset. This integration links measurable traits to key belowground functions: resource acquisition, spatial exploration, and persistence. Our analysis shows that the fine‐root economics space explains less than 5% of the variation in traits related to root system extent, clonality, and bud banks. Instead, an expanded trait analysis reveals three significant dimensions, explaining 62% of total trait variation. The third dimension represents an independent, persistence‐related gradient, not captured by existing root economics frameworks. We propose that understanding belowground plant strategies requires embracing additional functional gradients. The strategy of persistence, in particular, varies significantly across growth forms and is a critical dimension of plant response to resource limitation and stress, becoming increasingly important as global change shifts disturbance regimes.Keywords
Funding Information
- Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP 2023/16620‐0)
- Laboratoire d'Excellence TULIP (ANR‐10‐LABX‐0041)
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