The value of long-term ecological research for evolutionary insights,Nature Ecology & Evolution

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The value of long-term ecological research for evolutionary insights
Nature Ecology & Evolution ( IF 13.9 ) Pub Date : 2024-08-02 , DOI: 10.1038/s41559-024-02464-y
Jennifer M Cocciardi _{1,

2} , Ava M Hoffman ₃ , Diego F Alvarado-Serrano ₄ , Jill Anderson ₅ , Meghan Blumstein ₆ , Emma L Boehm ₇ , Lana G Bolin ₇ , Israel T Borokini ₈ , Gideon S Bradburd ₉ , Haley A Branch ₁₀ , Lars A Brudvig ₁₁ , Yanni Chen ₁₂ , Scott L Collins ₁₃ , David L Des Marais ₆ , Diana Gamba ₁₄ , Niall P Hanan ₁₅ , Mia M Howard ₉ , Joseph Jaros ₁₆ , Thomas E Juenger ₁₇ , Nicholas J Kooyers ₁₈ , Ezra J Kottler ₁₉ , Jennifer A Lau ₇ , Mitra Menon ₂₀ , David A Moeller ₂₁ , Thomas J Mozdzer ₂₂ , Seema N Sheth ₂₃ , Melinda Smith ₂₄ , Katherine Toll _{11,

25} , Mark C Ungerer ₂₆ , Megan L Vahsen ₂₇ , Susana M Wadgymar ₂₈ , Amy Waananen ₂₉ , Kenneth D Whitney ₁₃ , Meghan L Avolio ₁

Affiliation

Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA.
Department of Biology, University of Mississippi, Oxford, MS, USA.
Department of Biostatistics, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Department of Biological Sciences, Ohio University, Athens, OH, USA.
Department of Genetics, University of Georgia, Athens, GA, USA.
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Biology, Indiana University, Bloomington, IN, USA.
Department of Ecology, Montana State University, Bozeman, MT, USA.
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada.
Department of Plant Biology, Michigan State University, East Lansing, MI, USA.
Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Department of Biology, Pennsylvania State University, University Park, PA, USA.
Department of Plant and Environmental Sciences, Jornada Basin LTER Program, New Mexico State University, Las Cruces, NM, USA.
Department of Biological Sciences, Fordham University, New York, NY, USA.
Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
Department of Biology, University of Louisiana at Lafayette, Lafayette, LA, USA.
Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA.
Department of Evolution and Ecology, University of California, Davis, Davis, CA, USA.
Department of Plant and Microbial Biology, University of Minnesota, Minneapolis, MN, USA.
Department of Biology, Bryn Mawr College, Bryn Mawr, PA, USA.
Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, USA.
Department of Biology, Colorado State University, Fort Collins, CO, USA.
Department of Biological Sciences, University of South Carolina, Columbia, SC, USA.
Division of Biology, Kansas State University, Manhattan, KS, USA.
Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Biology Department, Davidson College, Davidson, NC, USA.
Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, MN, USA.

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.

中文翻译：

长期生态研究对于进化见解的价值

科学家必须对跨时空尺度的生态和进化有一个综合的理解，才能预测物种将如何应对全球变化。尽管全面研究自然界中的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和对全球变化的反应的理解。对于生态学家来说，我们概述了如何扩展长期生态实验以进行进化探究；对于进化生物学家来说，我们说明了观察到的长期生态模式如何激发新的进化问题。我们提倡协作、多站点调查，并讨论在网络站点进行进化工作的障碍。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。

更新日期：2024-08-02

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