Cocciardi Jennifer M, Hoffman Ava M, Alvarado-Serrano Diego F, Anderson Jill, Blumstein Meghan, Boehm Emma L, Bolin Lana G, Borokini Israel T, Bradburd Gideon S, Branch Haley A, Brudvig Lars A, Chen Yanni, Collins Scott L, Des Marais David L, Gamba Diana, Hanan Niall P, Howard Mia M, Jaros Joseph, Juenger Thomas E, Kooyers Nicholas J, Kottler Ezra J, Lau Jennifer A, Menon Mitra, Moeller David A, Mozdzer Thomas J, Sheth Seema N, Smith Melinda, Toll Katherine, Ungerer Mark C, Vahsen Megan L, Wadgymar Susana M, Waananen Amy, Whitney Kenneth D, Avolio Meghan L
Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA.
Department of Biology, University of Mississippi, Oxford, MS, USA.
Nat Ecol Evol. 2024 Sep;8(9):1584-1592. doi: 10.1038/s41559-024-02464-y. Epub 2024 Aug 2.
Scientists must have an integrative understanding of ecology and evolution across spatial and temporal scales to predict how species will respond to global change. Although comprehensively investigating these processes in nature is challenging, the infrastructure and data from long-term ecological research networks can support cross-disciplinary investigations. We propose using these networks to advance our understanding of fundamental evolutionary processes and responses to global change. For ecologists, we outline how long-term ecological experiments can be expanded for evolutionary inquiry, and for evolutionary biologists, we illustrate how observed long-term ecological patterns may motivate new evolutionary questions. We advocate for collaborative, multi-site investigations and discuss barriers to conducting evolutionary work at network sites. Ultimately, these networks offer valuable information and opportunities to improve predictions of species' responses to global change.
科学家必须对跨越时空尺度的生态学和进化有综合的理解，以便预测物种将如何应对全球变化。尽管在自然环境中全面研究这些过程具有挑战性，但长期生态研究网络的基础设施和数据可以支持跨学科研究。我们建议利用这些网络来增进我们对基本进化过程以及对全球变化的反应的理解。对于生态学家，我们概述了如何扩展长期生态实验以进行进化探究；对于进化生物学家，我们说明了观察到的长期生态模式如何引发新的进化问题。我们提倡开展合作性的多地点研究，并讨论在网络站点开展进化研究工作的障碍。最终，这些网络提供了宝贵的信息和机会，以改进对物种对全球变化反应的预测。
