Species-rich grasslands suffer from significant loss and degradation all over the world. In particular in lowland Europe, the vast majority of these habitats are in an unfavourable conservation status which requires urgent restoration measures. A significant amount of information on the results of previous restorations exists thanks to the implementation of numerous projects and the publication of action plans, technical notes and scientific articles. This information is however very scattered, which does not facilitate the work of practitioners. We therefore propose here a decision support tool using a step-wise framework informed by the successes and failures obtained in two large-scale restoration projects supplemented by scientific and grey literature. This decision tree addresses different restoration techniques depending on the local context, e.g. the intensity of habitat degradation, the richness of soil nutrients, and the presence in the vicinity of a habitat in a good conservation status. Depending on the type of grassland, our tool then suggests various recurrent management techniques to be applied after restoration. This synthetic work is presented step by step according to a dichotomous key which is intended to help practitioners make the right choices in their restoration process.

物种丰富的草原在世界各地遭受重大损失和退化。特别是在欧洲低地，绝大多数栖息地处于不利的保护状态，需要采取紧急恢复措施。由于大量项目的实施以及行动计划、技术说明和科学文章的出版，关于先前修复结果的大量信息得以存在。然而，这些信息非常分散，不利于从业者的工作。因此，我们在这里提出了一种决策支持工具，该工具使用逐步框架，该框架由两个大型恢复项目中获得的成功和失败提供信息，并辅以科学和灰色文献。该决策树根据当地情况处理不同的恢复技术，例如，栖息地退化的严重程度、土壤养分的丰富程度以及处于良好保护状态的栖息地附近的存在。根据草原的类型，我们的工具会建议在恢复后应用的各种循环管理技术。这项综合工作是根据二分法逐步呈现的，旨在帮助从业者在修复过程中做出正确的选择。