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Process-based allometry describes the influence of management on orchard tree aboveground architecture

机译：基于过程的异速分析描述了管理对果园地上建筑的影响

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摘要

We evaluated allometric relationships in length, diameter, and mass of branches for two variably managed orchard tree species (tart cherry, Prunus cerasus; apple, Malus spp.). The empirically estimated allometric exponents (a) of the orchard trees were described in the context of two processed-based allometry models that make predictions for a: the West, Brown and Enquist fractal branching model (WBE) and the recently introduced Flow Similarity model (FS). These allometric models make predictions about relationships in plant morphology (e.g., branch mass, diameter, length, volume, surface area) based on constraints imposed on plant growth by physical and physiological processes. We compared our empirical estimates of a to the model predictions to interpret the physiological implications of pruning and management in orchard systems. Our study found strong allometric relationships among the species and individuals studied with limited agreement with the expectations of either model. The 8/3-power law prediction of the mass ∼ diameter relationship by the WBE, indicative of biomechanical limitations, was marginally supported by this study. Length-including allometric relationships deviated from predictions of both models, but shift toward the expectation of flow similarity. In this way, managed orchard trees deviated from strict adherence to the idealized expectations of the models, but still fall within the range of model expectations in many cases despite intensive management.
机译：我们评估了两种可变管理的果园树种（酸樱桃，李属樱桃；苹果，苹果属）的长度，直径和质量的异形关系。根据经验估计的果园树的异形指数（a）是在两个基于处理的异形模型的背景下进行描述的，这些模型对a进行了预测：West，Brown和Enquist分形分支模型（WBE）和最近引入的流程相似性模型（ FS）。这些异速生长模型基于物理和生理过程对植物生长施加的限制，对植物形态的关系（例如分支质量，直径，长度，体积，表面积）进行预测。我们将对a的经验估计与模型预测进行比较，以解释果园系统中修剪和管理的生理影响。我们的研究发现，在所研究的物种与个体之间强烈的异形关系与上述两种模型的期望均有限。这项研究在一定程度上支持了WBE对质量与直径关系的8/3幂定律预测，表明了生物力学的局限性。长度（包括长度）关系偏离了两个模型的预测，但向流动相似性的期望转变。这样，受管理的果园树偏离了严格遵守模型的理想期望，但尽管进行了密集管理，但在许多情况下仍落在模型期望的范围内。

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