Environmental variability in aquatic ecosystems: Avenues for future multifactorial experiments
Environmental variability in aquatic ecosystems: Avenues for future multifactorial experiments
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DOI：
10.1002/lol2.10286
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发表时间：
2022-10
影响因子：
7.8
通讯作者：
Miriam Gerhard;Apostolos‐Manuel Koussoroplis;Michael Raatz;C. Pansch;Samuel B. Fey;J. Vajedsamiei;
中科院分区：
文献类型：
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作者：
Miriam Gerhard;Apostolos‐Manuel Koussoroplis;Michael Raatz;C. Pansch;Samuel B. Fey;J. Vajedsamiei;
考虑环境变异性对于理解和预测生物对环境变化的反应的相关性导致了最近以变异性为重点的生态研究的激增。然而，整合各个研究中出现的发现并确定水生生态系统中剩余的知识差距仍然至关重要。在这里，我们通过以下方式解决这些问题：（1）总结变异性研究的相关术语，包括变异性的组成部分（特征）以及考虑多种环境因素时的关键相互作用； (2) 确定概念框架，以了解单因素和多因素情景下环境变异性的后果； (3) 强调连接理论和实验研究的挑战，涉及从简单场景向更复杂场景的转变； （4）提出改进的方法来克服当前理论预测与实验观察之间的不匹配； (5) 根据其特定的优势和局限性，为设计跨多个尺度、控制程度和复杂性的综合实验提供指南。
The relevance of considering environmental variability for understanding and predicting biological responses to environmental changes has resulted in a recent surge in variability‐focused ecological research. However, integration of findings that emerge across studies and identification of remaining knowledge gaps in aquatic ecosystems remain critical. Here, we address these aspects by: (1) summarizing relevant terms of variability research including the components (characteristics) of variability and key interactions when considering multiple environmental factors; (2) identifying conceptual frameworks for understanding the consequences of environmental variability in single and multifactorial scenarios; (3) highlighting challenges for bridging theoretical and experimental studies involving transitioning from simple to more complex scenarios; (4) proposing improved approaches to overcome current mismatches between theoretical predictions and experimental observations; and (5) providing a guide for designing integrated experiments across multiple scales, degrees of control, and complexity in light of their specific strengths and limitations.