Food webs are essential for understanding how ecosystems function, but empirical data on the interactions that make up these ecological networks are lacking for most taxa in most ecosystems. Trait-based models can fill these data gaps, but their ability to do so has not been widely tested. We test how well these models can extrapolate to new ecological communities both in terms of pairwise predator–prey interactions and higher level food web attributes (i.e. species position, food web-level properties).

中文翻译：

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性状匹配模型预测跨区域的成对相互作用，而不是食物网特性

食物网对于理解生态系统如何运作至关重要，但大多数生态系统中的大多数类群都缺乏构成这些生态网络的相互作用的经验数据。基于特质的模型可以填补这些数据空白，但其这样做的能力尚未得到广泛测试。我们测试这些模型在成对捕食者-猎物相互作用和更高级别的食物网属性（即物种位置、食物网级别属性）方面可以如何推断新的生态群落。