Access to analytical code is essential for transparent and reproducible research. We review the state of code availability in ecology using a random sample of 346 nonmolecular articles published between 2015 and 2019 under mandatory or encouraged code-sharing policies. Our results call for urgent action to increase code availability: only 27% of eligible articles were accompanied by code. In contrast, data were available for 79% of eligible articles, highlighting that code availability is an important limiting factor for computational reproducibility in ecology. Although the percentage of ecological journals with mandatory or encouraged code-sharing policies has increased considerably, from 15% in 2015 to 75% in 2020, our results show that code-sharing policies are not adhered to by most authors. We hope these results will encourage journals, institutions, funding agencies, and researchers to address this alarming situation.

获得分析代码对于透明和可重复的研究至关重要。我们根据2015年至2019年间在强制性或鼓励性代码共享政策下发布的346篇非分子文章的随机样本，回顾了生态学中代码可用性的状态。我们的结果要求采取紧急行动以提高代码可用性：只有27％的合格文章随附了代码。相比之下，符合条件的文章中有79％可获得数据，这突出表明代码可用性是生态学中计算可重复性的重要限制因素。尽管具有强制性或鼓励性代码共享政策的生态期刊的百分比已从2015年的15％大幅增加到2020年的75％，但我们的结果表明，大多数作者都不遵守代码共享政策。我们希望这些结果能鼓励期刊，