Journal of Plant Ecology

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整合生物量异速分配理论与最优分配理论:来自中国西南海拔梯度下蒿属植物的证据#br#

  

  • 收稿日期:2025-06-06 接受日期:2025-08-19

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, Sichuan, 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.Email: baowk@cib.ac.cn 
    These authors contributed equally to this work.
  • Received:2025-06-06 Accepted:2025-08-19
  • 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).

摘要: 异速分配理论(Allometric Partitioning Theory, APT)与最优分配理论(Optimal Partitioning Theory, OPT)分别强调了植物大小和资源限制在塑造植物生长与适应策略中的关键作用。 然而,这两种理论在不同环境条件下的适用性与交互机制仍缺乏实证研究。为此,本研究选择了中国西南山地同一纬度带、海拔跨度显著(2350–4750 m)的区域,并在8个不同坡面上对蒿属(Artemisia)植物进行系统性采样。本研究共测定了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。其中,茎根比在不同生活型及多数物种中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策略中共同作用的现象:APT策略为分配模式提供了基线,而OPT则在该基线上沿环境梯度进行适应性调整。结合两种理论框架,将有助于在环境变化背景下更准确预测植物的生物量分配响应。

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

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. 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.

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