Department of Landscape Architecture, Graduate School of Design, Harvard University, Cambridge, MA, USA.
Basque Centre for Climate Change - BC3, Leioa, Spain.
Nat Ecol Evol. 2020 May;4(5):676-685. doi: 10.1038/s41559-020-1154-1. Epub 2020 Apr 13.
Multiple large-scale restoration strategies are emerging globally to counteract ecosystem degradation and biodiversity loss. However, restoration often remains insufficient to offset that loss. To address this challenge, we propose to focus restoration science on the long-term (centuries to millennia) re-assembly of degraded ecosystem complexity integrating interaction network and evolutionary potential approaches. This approach provides insights into eco-evolutionary feedbacks determining the structure, functioning and stability of recovering ecosystems. Eco-evolutionary feedbacks may help to understand changes in the adaptive potential after disturbance of metacommunity hub species with core structural and functional roles for their use in restoration. Those changes can be studied combining a restoration genomics approach based on whole-genome sequencing with replicated space-for-time substitutions linking changes in genetic variation to functions or traits relevant to the establishment of evolutionarily resilient communities. This approach may set the knowledge basis for future tools to accelerate the restoration of ecosystems able to adapt to ongoing global changes.
全球涌现出多种大规模的恢复策略，以对抗生态系统退化和生物多样性丧失。然而，恢复往往仍然不足以抵消这种损失。为了应对这一挑战，我们建议将恢复科学的重点放在长期（几百年到几千年）重建退化生态系统的复杂性上，综合考虑相互作用网络和进化潜力的方法。这种方法提供了有关决定恢复生态系统结构、功能和稳定性的生态进化反馈的见解。生态进化反馈可能有助于理解在具有核心结构和功能作用的关键物种发生干扰后，适应潜力的变化，以便将其用于恢复。可以通过整合基于全基因组测序的恢复基因组学方法和复制的时空替代，将遗传变异的变化与与进化弹性社区建立相关的功能或特征联系起来，从而研究这些变化。这种方法可以为未来的工具奠定知识基础，以加速能够适应持续的全球变化的生态系统的恢复。
