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<p>Forests play a vital role in regional and global carbon cycles. However, the cross-scale similarities and differences in biomass environmental adaptation, a key manifestation of phenotypic niche construction, remain poorly understood in forest communities dominated by closely related species. This study focuses on the cross-scale driving factors and mechanisms of aboveground biomass (AGB) in two closely related species of oak forests with high carbon sink capacity, utilizing random forests (RF) and structural equation modeling (SEM). At the national scale, mean daily maximum air temperature of the warmest month (MTWM) dominates the overall pattern of AGB in <i>Quercus acutissima</i> and <i>Quercus variabilis</i> forests, significantly reducing AGB by decreasing climate moisture index (CMI) and biological factors. However, in the driving pathways of AGB, CMI significantly reduces AGB by decreasing biological factors in <i>Q. variabilis</i> forests, but not significantly in <i>Q. acutissima</i> forests. At the regional scale, CMI and forest age are the primary factors influencing the regional characteristics of AGB in <i>Q. acutissima</i> and <i>Q. variabilis</i> forests, respectively. Our results indicate that cross-scale genetic similarities in biomass accumulation strategies among closely related species, as well as specific adaptations to environmental conditions. Furthermore, these findings provide critical entry points for addressing global changes and enhancing carbon sinks.</p>

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Drivers of aboveground biomass in closely related species-dominated forests: a cross-scale analysis of phenotypic environmental adaptation

  • 期刊论文

  • 发表日期：

    2026年4月15日

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  • Shuaishuai Ma,
  • Huayong Zhang

摘要

Forests play a vital role in regional and global carbon cycles. However, the cross-scale similarities and differences in biomass environmental adaptation, a key manifestation of phenotypic niche construction, remain poorly understood in forest communities dominated by closely related species. This study focuses on the cross-scale driving factors and mechanisms of aboveground biomass (AGB) in two closely related species of oak forests with high carbon sink capacity, utilizing random forests (RF) and structural equation modeling (SEM). At the national scale, mean daily maximum air temperature of the warmest month (MTWM) dominates the overall pattern of AGB in Quercus acutissima and Quercus variabilis forests, significantly reducing AGB by decreasing climate moisture index (CMI) and biological factors. However, in the driving pathways of AGB, CMI significantly reduces AGB by decreasing biological factors in Q. variabilis forests, but not significantly in Q. acutissima forests. At the regional scale, CMI and forest age are the primary factors influencing the regional characteristics of AGB in Q. acutissima and Q. variabilis forests, respectively. Our results indicate that cross-scale genetic similarities in biomass accumulation strategies among closely related species, as well as specific adaptations to environmental conditions. Furthermore, these findings provide critical entry points for addressing global changes and enhancing carbon sinks.