Despite the growing concerns about the replicability of ecological and evolutionary studies, no results exist from a field-wide replication project. We conduct a large-scale in silico replication project, leveraging cutting-edge statistical methodologies. Replicability is 30%–40% for studies with marginal statistical significance in the absence of selective reporting, whereas the replicability of studies presenting ‘strong’ evidence against the null hypothesis H₀ is >70%. The former requires a sevenfold larger sample size to reach the latter’s replicability. We call for a change in planning, conducting and publishing research towards a transparent, credible and replicable ecology and evolution.

尽管人们越来越担心生态和进化研究的可复制性，但全领域的复制项目还没有取得任何结果。我们利用尖端的统计方法进行了大规模的计算机复制项目。在没有选择性报告的情况下，具有边际统计显着性的研究的可重复性为 30%–40%，而提出反对原假设H _{0 的}“强有力”证据的研究的可重复性为 >70%。前者需要七倍大的样本量才能达到后者的可重复性。我们呼吁改变规划、开展和发布研究的方式，以实现透明、可信和可复制的生态和进化。