Restoration efforts will be taking place over the next decade(s) in the largest scope and capacity ever seen. Immense commitments, goals, and budgets are set, with impactful wide‐reaching potential benefits for people and the environment. These are ambitious aims for a relatively new branch of science and practice. It is time for restoration action to scale up, the legacy of which could impact over 350 million hectares targeted for the U.N. Decade on Ecosystem Restoration. However, restoration still proceeds on a case‐by‐case, trial by error basis and restoration outcomes can be variable even under similar conditions. The ability to put each case into context—what about it worked, what did not, and why—is something that the synthesis of data across studies can facilitate. The link between data synthesis and predictive capacity is strong. There are examples of extremely ambitious and successful efforts to compile data in structured, standardized databases which have led to valuable insights across regional and global scales in other branches of science. There is opportunity and challenge in compiling, standardizing, and synthesizing restoration monitoring data to inform the future of restoration practice and science. Through global collation of restoration data, knowledge gaps can be addressed and data synthesized to advance toward a more predictive science to inform more consistent success. The interdisciplinary potential of restoration ecology sits just over the horizon of this decade. Through truly collaborative synthesis across foci within the restoration community, we have the opportunity to rapidly reach that potential and achieve extraordinary outcomes together.

中文翻译：

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数据综合的力量决定着恢复社区的未来和能力

恢复工作将在未来十年内以有史以来最大的规模和容量进行。设定了巨大的承诺，目标和预算，为人类和环境带来了影响深远的潜在利益。这些是相对较新的科学和实践分支的宏伟目标。现在是时候扩大恢复行动的时候了，其遗产可能会影响到联合国生态系统恢复十年计划的超过3.5亿公顷的土地。但是，恢复仍然会根据具体情况，逐个错误地进行，即使在类似条件下，恢复结果也可能会有所不同。将每个案例置于上下文中的能力（什么起作用，什么没有起作用以及为什么）是跨研究数据综合可以促进的。数据综合与预测能力之间的联系很牢固。有一些在结构化，标准化数据库中汇编数据的极度雄心勃勃和成功的努力的示例，这些示例已经导致跨其他科学领域的区域和全球规模的宝贵见解。在编制，标准化和综合恢复监测数据以告知恢复实践和科学的未来时，机遇与挑战并存。通过对恢复数据进行全局整理，可以解决知识差距并合成数据，从而朝着更具预测性的科学方向发展，从而获得更一致的成功。恢复生态学的跨学科潜力正处于这个十年的展望之内。通过在修复社区内的各个焦点之间进行真正的协作综合，我们有机会迅速发挥这一潜力并共同取得非凡的成果。