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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology

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This article has been peer reviewed and accepted for publication. It is in production and has not been edited, so may differ from the final published form.

Multivariate Analysis Reveals Physiological Trade-offs and Synergies in Agastache rugosa (Fisch. & C.A.Mey.) Kuntze Under Combinatorial Light and Nutrient Gradients

Khairul Azree Rosli 0009-0002-9150-3684, Azizah Misran, Latifah Saiful Yazan, Puteri Edaroyati Megat Wahab

Abstract

Agastache rugosa (Fisch. & C.A.Mey.) Kuntze displays a high degree of phenotypic plasticity in response to light and nutrient gradients, but the coordination among its leaf structural, photosynthetic, and resource use traits remains unexplored in tropical environments. We investigated the functional traits and resource use efficiencies of A. rugosa under four nutrient levels nested within two light levels. Photosynthetic rates increased under high-light, while leaf temperatures remained stable (34–37°C) across treatments, suggesting effective thermoregulation. Unexpectedly, Rubisco content was 22.4% higher under low-light, intermediate nutrient levels, indicating a compensatory mechanism. Water use efficiency increased under high-light, whereas photosynthetic phosphorus and potassium use efficiencies were higher under low-light levels. Principal component analysis revealed that light and nutrients explained 71.6% of trait variation, with distinctive clustering of resource use efficiencies. Hierarchical clustering identified three functional trait groups at 90% similarity levels, comprising photosynthetic, nutrient use, and water conservation mechanisms. The species showed tight coordination between CO2 supply and demand, with strong correlations between photosynthetic traits and resource use efficiencies. Our findings demonstrate that A. rugosa employs a suite of adaptive mechanisms to optimize resource acquisition and utilization across heterogeneous environments, advancing our understanding of plant responses to multiple resource gradients.

FP24323  Accepted 20 May 2025

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