Plant–pollinator interactions are ecologically and economically important, and, as a result, their prediction is a crucial theoretical and applied goal for ecologists. Although various analytical methods are available, we still have a limited ability to predict plant–pollinator interactions. The predictive ability of different plant–pollinator interaction models depends on the specific definitions used to conceptualize and quantify species attributes (e.g., morphological traits), sampling effects (e.g., detection probabilities), and data resolution and availability. Progress in the study of plant–pollinator interactions requires conceptual and methodological advances concerning the mechanisms and species attributes governing interactions as well as improved modeling approaches to predict interactions. Current methods to predict plant–pollinator interactions present ample opportunities for improvement and spark new horizons for basic and applied research.

植物与传粉者的相互作用在生态和经济上都很重要，因此，它们的预测是生态学家的一个重要的理论和应用目标。尽管有多种分析方法可用，但我们预测植物与传粉者相互作用的能力仍然有限。不同植物-传粉者相互作用模型的预测能力取决于用于概念化和量化物种属性（例如形态特征）、采样效果（例如检测概率）以及数据分辨率和可用性的具体定义。植物与传粉者相互作用的研究取得进展需要在控制相互作用的机制和物种属性方面取得概念和方法上的进展，以及改进预测相互作用的建模方法。目前预测植物与传粉媒介相互作用的方法提供了充足的改进机会，并为基础和应用研究开辟了新视野。