Rainfall seasonality shapes belowground root trait dynamics in an Amazonian tropical rainforest: A test of the stress‐dominance hypothesis

Oscar Valverde-Barrantes, Laynara Figueiredo Lugli, Lucia Fuchslueger, Florian Hofhansl, Nathielly Martins, Amanda Longhi Cordeiro, Karst J. Schaap, Kelly M Andersen, Sabrina Garcia, Adriana Grandis, E. Miron, Katrin Fleischer, Marcel Hoosbeek, Iain Hartley, Erick Oblitas Mendoza, David Lapola, Carlos A. Quesada

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

<jats:p>The stress‐dominance hypothesis (SDH) predicts that trait variation at the community level increases with the availability of limiting resources, driving spatial and temporal patterns in above‐ground plant functional trait expression. Here, we test the assumption that the SDH also applies to fine roots responding to spatial and temporal fluctuations in soil resource availability.We monitored fine root mass and functional root traits associated with resource acquisition, that is specific root length (SRL), specific root tip abundance (SRTA) and branching index (BI), and traits related to stress tolerance, such as root diameter (RD) and tissue density (RTD) in a Central Amazonian tree community. To test for spatial differences in root traits, we separated the uppermost organic (O‐A horizon, 0–5 cm) and mineral soil (B horizon, 5–15 cm) layers, and for temporal fluctuations, we investigated the relationship of precipitation on community‐level root variation over a period of 27 months.In accordance with the SDH, we found that fine roots in the O‐A horizon have on average 15% higher SRL, 23% higher BI, 32% higher SRTA and 15% lower RTD than those in the B horizon. Similarly, precipitation shifted the community over time to higher mean SRL, BI and SRTA (r = 0.92, 0.84 and 0.94, p < 0.0001 respectively), although trait shifts occurred in the trimester after the rainy season onset, revealing a time‐lag between rainfall patterns and community response. We also detected a positive increase in trait range for SRL and SRTA with lagged precipitation (r = 0.90 and 0.79, p < 0.0001). On the other hand, traits related to stress showed a weaker negative relationship with instantaneous precipitation (r = −0.7 and −0.57, p = 0.046 and p = 0.1 for RD and RTD, respectively).Our results supported the SDH predictions that root systems will become more acquisitive in areas with more resources, and that the community will shift to more acquisitive but also broader trait dispersion as hydric stress decreases. We conclude that although higher resource availability may increase competition for acquisition, trait overdispersion seems to promote species coexistence. Our results highlight how dynamic root systems can be in response to environmental cues, cautioning the common practice of making conclusions about root traits adaptations to environmental gradients based on a single sampling observation.Read the free Plain Language Summary for this article on the Journal blog.</jats:p>
Original languageEnglish
Pages (from-to)799-812
Number of pages14
JournalFunctional Ecology
Volume39
Issue number3
Early online date26 Jan 2025
DOIs
Publication statusPublished - Mar 2025

Funding

The AmazonFACE program was funded by the Inter\u2010American Development Bank through a technical cooperation agreement with the Brazilian Ministry of Science, Technology, Innovation and Communications (Grant BR\u2010T1284), and by Brazil's Coordination for the Improvement of Higher Education Personnel (CAPES) Grant 23038.007722/2014\u201377, and by Amazonas Research Foundation (FAPEAM) Grant 2649/2014. Lucia Fuchslueger was supported by the European Research Council Synergy grant #610028 Imbalance\u2010P and by the European Union's Horizon 2020 research and innovation program under the Marie Sklodovska\u2010Curie grant agreement No 847693 (REWIRE). Katrin Fleisher acknowledges funding by the DFG Grant RA 2060/5\u20131. Florian Hofhansl gratefully acknowledges funding from IIASA and the National Member Organizations that support the institute. Laynara Lugli would like to acknowledge the Bavarian State Chancellery (Project Amazon\u2010FLUX) for financial support. Laynara Lugli and Nathielly Martins would like to acknowledge CAPES for support (88887.360170/2019\u201300). David Lapola was supported by a FAPESP grant (2015/02537\u20137).

FundersFunder number
Inter-American Development Bank
Laboratório Temático de Solos e Plantas
Brazil's Coordination for the Improvement of Higher Education Personnel
Thematic Laboratory for Soils and Plants
International Institute for Applied Systems Analysis
European Research Council610028 Imbalance‐P
Fundação de Amparo à Pesquisa do Estado de São Paulo2015/02537–7
Bavarian State Chancellery88887.360170/2019–00
Horizon 2020847693
California Department of Fish and GameRA 2060/5–1
Fundação de Amparo à Pesquisa do Estado do Amazonas2649/2014
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior23038.007722/2014–77
Ministério da Ciência, Tecnologia, Inovações e ComunicaçõesBR‐T1284

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