Summary Integrating traits across above‐ and belowground organs offers comprehensive insights into plant ecology, but their various functions also increase model complexity. This study aimed to illuminate the interspecific pattern of whole‐plant trait correlations through a network lens, including a detailed analysis of the root system. Using a network algorithm that allows individual traits to belong to multiple modules, we characterize interrelations among 19 traits, spanning both shoot and root phenology, architecture, morphology, and tissue properties of 44 species, mostly herbaceous monocots from Northern Ontario wetlands, grown in a common garden. The resulting trait network shows three distinct yet partially overlapping modules. Two major trait modules indicate constraints of plant size and form, and resource economics, respectively. These modules highlight the interdependence between shoot size, root architecture and porosity, and a shoot–root coordination in phenology and dry‐matter content. A third module depicts leaf biomechanical adaptations specific to wetland graminoids. All three modules overlap on shoot height, suggesting multifaceted constraints of plant stature. In the network, individual‐level traits showed significantly higher centrality than tissue‐level traits do, demonstrating a hierarchical trait integration. The presented whole‐plant, integrated network suggests that trait covariation is essentially function‐driven rather than organ‐specific.

中文翻译：

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根和芽物候、结构和器官特性：44 个草本湿地物种的综合性状网络

概括 整合地上和地下器官的性状可以提供对植物生态学的全面见解，但它们的不同功能也增加了模型的复杂性。本研究旨在通过网络透镜阐明全植物性状相关的种间模式，包括对根系统的详细分析。 使用允许个体性状属于多个模块的网络算法，我们描述了 19 个性状之间的相互关系，涵盖 44 个物种的芽和根物候、结构、形态和组织特性，其中大部分是来自安大略省北部湿地的草本单子叶植物，生长在共同的花园。 由此产生的特征网络显示了三个不同但部分重叠的模块。两个主要性状模块分别表明植物大小和形态以及资源经济的限制。这些模块强调了枝条大小、根结构和孔隙度之间的相互依赖性，以及枝根在物候和干物质含量方面的协调。第三个模块描述了湿地禾本科植物特有的叶子生物力学适应性。所有三个模块在芽高度上重叠，表明植物高度的多方面限制。在网络中，个体水平特征的中心性显着高于组织水平特征，证明了分层特征整合。 所提出的全植物集成网络表明性状共变本质上是功能驱动的而不是器官特异性的。