Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32618, USA.
Florida Museum of Natural History, University of Florida, Gainesville, FL 32618, USA.
Trends Ecol Evol. 2023 Oct;38(10):970-979. doi: 10.1016/j.tree.2023.05.010. Epub 2023 Jun 16.
Many ecologists increasingly advocate for research frameworks centered on the use of 'big data' to address anthropogenic impacts on ecosystems. Yet, experiments are often considered essential for identifying mechanisms and informing conservation interventions. We highlight the complementarity of these research frameworks and expose largely untapped opportunities for combining them to speed advancements in ecology and conservation. With nascent but increasing application of model integration, we argue that there is an urgent need to unite experimental and big data frameworks throughout the scientific process. Such an integrated framework offers potential for capitalizing on the benefits of both frameworks to gain rapid and reliable answers to ecological challenges.
许多生态学家越来越提倡使用“大数据”来研究人类活动对生态系统的影响，以此作为研究框架。然而，实验通常被认为是识别机制和为保护干预提供信息的关键。我们强调了这些研究框架的互补性，并揭示了在将它们结合起来以加速生态学和保护学进展方面存在的大量未开发的机会。随着模型整合的初步但不断增加的应用，我们认为迫切需要在整个科学过程中统一实验和大数据框架。这种综合框架有可能充分利用这两种框架的优势，快速可靠地解决生态挑战。
