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Using plant functional traits as a link between land use and bee foraging abundance

机译:利用植物功能性状作为土地利用与蜜蜂觅食的联系

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Many recent studies have shown that plant functional traits can be used to predict the response of plant assemblages to management or other environmental change. A further challenge is to use them to predict changes in the assemblages of other groups. Using data from a study of the impact of land use on biodiversity, the linkages between management drivers, a range of plant functional traits and the overall foraging numbers and assemblage of bees was assessed. Bee foraging numbers were only weakly predicted by plant traits, though bee foraging assemblage was closely related to a number of different groups of plant traits (flower colour and Forage Index, as well as taxonomic group). In turn, the selected traits were significantly correlated to some of the response traits that linked the plant assemblage to management, indicating that there was a predictive pathway from management to bee abundance and assemblage structure. However, models developed with just the environmental drivers proved superior at predicting both bee numbers and assemblage. Plant traits proved to be a moderately effective predictor of bee assemblage structure. However, the use of plant traits as a link between the bees and management did not offer any improvement on models directly developed from management variables. This suggests that the bee assemblage is responding to traits that have not been quantified and that developing these trophic linkage models may have to take a different approach.
机译:最近的许多研究表明,植物功能性状可用于预测植物组合对管理或其他环境变化的反应。另一个挑战是使用它们来预测其他群体的组合变化。利用对土地利用对生物多样性影响的研究数据,评估了管理驱动因素,一系列植物功能性状与蜜蜂的总体觅食数量和种群之间的联系。蜜蜂的觅食数量只能通过植物性状来预测,尽管蜜蜂的觅食组合与许多不同的植物性状群(花色和饲草指数以及分类群)密切相关。反过来,选择的性状与将植物组合与管理联系起来的一些响应性状显着相关,表明从管理到蜜蜂的丰度和组合结构存在预测途径。但是,仅使用环境驱动程序开发的模型在预测蜜蜂数量和组合方面都被证明是出色的。植物性状被证明是蜂群结构的中度有效预测因子。但是,使用植物性状作为蜜蜂与管理之间的联系对基于管理变量直接开发的模型没有任何改进。这表明蜂群正在响应尚未量化的特征,开发这些营养连锁模型可能必须采取不同的方法。

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