To foster strong connections between knowledge and policy action, science–policy interfaces, and the information they produce and exchange, need to be credible, relevant and legitimate. Though this is widely accepted, there has been less emphasis on the problem of trade-offs between these attributes, and how the trade-offs manifest themselves in practice. Based on empirical material on biodiversity-related science–policy interfaces, we identify four major potential trade-offs: first, personal time trade-off: interfacing versus doing other activities; secondly, a clarity–complexity trade-off: simple messages versus communicating uncertainty; thirdly, a speed–quality trade-off: timely outputs versus in-depth quality assessment; and finally, push–pull trade-off: supply-driven versus demand-driven research. Trade-offs are dynamic, vary through policy cycles, and evolve with changing contexts or internal dynamics between actors at the science–policy interface. We outline ways of easing the tensions inherent in trade-offs, but stress that appropriate solutions must be determined on a case-by-case basis.

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