J Plant Ecol ›› 2026, Vol. 19 ›› Issue (1): rtaf136.DOI: 10.1093/jpe/rtaf136

• Research Article •    

Confronting allometric and optimal partitioning theories in biomass allocation: evidence from Artemisia species along an elevational gradient in Southwest of China

Chang’an Guo1,2,†, Ziwei Wang2,3,†, Xiulong Zhang1, Yu Yang1,2, Yuangyuan Tang1,2, Weikai Bao1,*   

  1. 1Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China, 2University of Chinese Academy of Sciences, Beijing 100049, China, 3Institute of Mountain Hazards and Environment, Chinese Academy of Science, Chengdu 610299, China

    *Corresponding author. E-mail: baowk@cib.ac.cn

    These authors contributed equally to this work.

  • Received:2025-06-06 Accepted:2025-08-19 Online:2025-08-21 Published:2026-02-01
  • Supported by:
    This research was supported by the Sichuan Natural Science Foundation of China (No. 2024NSFSC0010) and the Science and Technology Program of China railway (No. K2022Z013).

整合生物量异速与最优分配理论:来自中国西南海拔梯度蒿属植物的观测证据

Abstract: The allometric partitioning theory (APT) and optimal partitioning theory (OPT) emphasize the roles of plant size and resource constraints in shaping the adaptive strategies of plants growing under diverse environmental conditions. However, the relative importance of APT and OPT in explaining adaptive strategies is still uncertain. This study selected a region within the same latitudinal zone but spanning a large elevational gradient (2350 m). We conducted systematic sampling of Artemisia species across eight distinct slopes. Biomass data for roots, stems, leaves, and whole plants were measured from 620 individual specimens. Using closely related and widely distributed species is feasible for validating the APT and OPT theories, as it not only minimizes the significant influence of evolutionary differences but also ensures a broad environmental gradient. Based on the above-mentioned measurements, we found that there was a significant allometric relationship between the biomass allocation and the whole plant size of Artemisia species. However, after accounting for size effects, organ allocation ratios still showed significant responses to elevation and environmental principal components. In particular, stem-to-root ratios consistently decreased with increasing elevation across life forms and most species. Structural equation modeling further revealed that elevation influenced biomass allocation indirectly by altering environmental variables (PC1 and PC2). Our findings provide rare empirical support for the simultaneous operation of APT and OPT. Allometric rules offer a baseline. This baseline is adaptively fine-tuned in response to environmental gradients. We stress the importance of integrating both theoretical frameworks. It can help improve predictions of plant biomass allocation strategies under changing environments.

This study investigates biomass allocation of Artemisia species across a 2850 m elevational gradient, providing new evidence for the synergistic operation of allometric partitioning theory and optimal partitioning theory, and highlighting the value of integrating these two frameworks for predicting plant adaptive strategies.

Key words: Biomass allocation, Allometric scaling, Optimal partitioning theory, Elevational gradient, Artemisia

摘要:
生物量异速分配理论(APT)与最优分配理论(OPT)分别强调了植物个体大小和资源限制在植物适应策略中的作用。然而,这两种理论在解释植物适应环境变化中的相对贡献尚不清楚。为此,本研究通过中国西南山区同纬度带内跨越2350m海拔梯度8个坡面蒿属(Artemisia)植物系统采样,测定了620株完整个体的根、茎、叶及整株生物量。同属植物兼具广泛分布与近缘关系,可最大限度降低系统发育差异的影响,同时覆盖广泛的环境梯度,从而有助于综合检验APT与OPT对生物量分配的作用。结果显示,蒿属植物生物量分配与植株整体大小呈显著异速关系;在剔除植株大小效应后,各器官生物量比例仍随海拔及环境主成分显著变化。特别是,在不同生活型及多数物种中,茎根比均随海拔升高而持续下降。结构方程模型表明,海拔通过改变环境变量间接影响生物量分配模式。本研究揭示了APT与OPT在蒿属植物生物量分配中的共同作用模式:APT策略为分配提供基线,而OPT则在该基线上进行适应性调整。该整合理论框架对于准确预测环境变化背景下植物的生物量分配策略具有重要意义。

关键词: 生物量分配, 异速分配理论, 最优分配理论, 海拔梯度, 蒿属