Species interaction networks, which play an important role in determining pathogen transmission and spread in ecological communities, can shift in response to agricultural landscape simplification. However, we know surprisingly little about how landscape simplification‐driven changes in network structure impact epidemiological patterns. Here, we combine mathematical modelling and data from eleven bipartite plant‐pollinator networks observed along a landscape simplification gradient to elucidate how changes in network structure shape disease dynamics. Our empirical data show that landscape simplification reduces pathogen prevalence in bee communities via increased diet breadth of the dominant species. Furthermore, our empirical data and theoretical model indicate that increased connectance reduces the likelihood of a disease outbreak and decreases variance in prevalence among bee species in the community, resulting in a dilution effect. Because infectious diseases are implicated in pollinator declines worldwide, a better understanding of how land use change impacts species interactions is therefore critical for conserving pollinator health.

中文翻译：

---

景观简化塑造了植物传粉网络中病原体的流行。

物种相互作用网络在确定病原体在生态群落中的传播和传播方面发挥着重要作用，可以随着农业景观的简化而发生变化。然而，我们对景观简化驱动的网络结构变化如何影响流行病学模式知之甚少。在这里，我们结合数学模型和来自沿景观简化梯度观察到的 11 个植物传粉网络的数据，以阐明网络结构的变化如何影响疾病动态。我们的经验数据表明，景观简化通过增加优势物种的饮食范围来降低蜜蜂群落中病原体的流行。此外，我们的经验数据和理论模型表明，增加的联系减少了疾病爆发的可能性，并减少了社区中蜜蜂物种之间流行率的差异，从而导致稀释效应。由于传染病与全世界传粉媒介减少有关，因此更好地了解土地利用变化如何影响物种相互作用对于保护传粉媒介健康至关重要。