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Updated: Oct 13, 2026

Design and Operation of a Continuous 13C and 15N Labeling Chamber for Uniform or Differential, Metabolic and Structural, Plant Isotope Labeling
Published on: January 16, 2014
Grazing reshapes plant nitrogen use trade-off between soil uptake and internal remobilization
Lin Wu1,2, Kexin Li1, Ziyuan Ma1
1Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, 235 West University Road, Hohhot, 010021, China.
Abstract:
Perennial plants rely on two key ecological strategies to supply nitrogen (N) for photosynthetic tissue construction: root N remobilization (internal cycling) and soil N uptake. How plants trade-off these strategies determines the economy of N use and is likely context-dependent. Yet, it is rarely quantified in situ across growth stages and under varying management, limiting the mechanistic understanding of how plants rebalance N-use trade-offs to adapt to grazing disturbance. To address this gap, we conducted an in situ experiment using 15N isotope labelling techniques in a semiarid grassland to quantify the contributions of these two strategies at two plant growth stages under nil, summer or autumn grazing. We found that the plant relied more on soil N uptake (58%) during the regreen stage, but more on N remobilization (57%) during the rapid-growth stage. Grazing, especially in autumn, significantly leaned N use trade-off toward conservative N remobilization. The shift in plant N use strategies was driven primarily by plant growth demand and soil N supply, but not root N stock. Plant N use trade-off leaned toward internal cycling when source traits were below or sink traits were above the thresholds, for example, soil N availability <9.0 mg kg-1 or shoot carbon content >41.88%. Our study highlights the importance of the N resource-sink relations in mediating the trade-off in plant N use strategies, buffering grazing stress to grassland plants. These findings provide a mechanistic basis for improving ecosystem N cycling modeling and adaptive grazing management.
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