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DOI | 10.1111/ele.13533 |
Using a newly introduced framework to measure ecological stressor interactions | |
Tekin E.; Diamant E.S.; Cruz-Loya M.; Enriquez V.; Singh N.; Savage V.M.; Yeh P.J. | |
发表日期 | 2020 |
ISSN | 1461023X |
起始页码 | 1391 |
结束页码 | 1403 |
卷号 | 23期号:9 |
英文摘要 | Understanding how stressors combine to affect population abundances and trajectories is a fundamental ecological problem with increasingly important implications worldwide. Generalisations about interactions among stressors are challenging due to different categorisation methods and how stressors vary across species and systems. Here, we propose using a newly introduced framework to analyse data from the last 25 years on ecological stressor interactions, for example combined effects of temperature, salinity and nutrients on population survival and growth. We contrast our results with the most commonly used existing method – analysis of variance (ANOVA) – and show that ANOVA assumptions are often violated and have inherent limitations for detecting interactions. Moreover, we argue that rescaling – examining relative rather than absolute responses – is critical for ensuring that any interaction measure is independent of the strength of single-stressor effects. In contrast, non-rescaled measures – like ANOVA – find fewer interactions when single-stressor effects are weak. After re-examining 840 two-stressor combinations, we conclude that antagonism and additivity are the most frequent interaction types, in strong contrast to previous reports that synergy dominates yet supportive of more recent studies that find more antagonism. Consequently, measuring and re-assessing the frequency of stressor interaction types is imperative for a better understanding of how stressors affect populations. © 2020 John Wiley & Sons Ltd/CNRS |
关键词 | Antagonismantibioticsfood websmultiple stressorssynergy |
英文关键词 | antagonism; ecological approach; growth; survival; trajectory; salinity; temperature; Salinity; Temperature |
语种 | 英语 |
来源期刊 | Ecology Letters |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/204300 |
作者单位 | Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, United States; Department of Computational Medicine, the David Geffen School of Medicine, University of California, Los Angeles, CA, United States; Santa Fe Institute, Santa Fe, NM 87501, United States |
推荐引用方式 GB/T 7714 | Tekin E.,Diamant E.S.,Cruz-Loya M.,et al. Using a newly introduced framework to measure ecological stressor interactions[J],2020,23(9). |
APA | Tekin E..,Diamant E.S..,Cruz-Loya M..,Enriquez V..,Singh N..,...&Yeh P.J..(2020).Using a newly introduced framework to measure ecological stressor interactions.Ecology Letters,23(9). |
MLA | Tekin E.,et al."Using a newly introduced framework to measure ecological stressor interactions".Ecology Letters 23.9(2020). |
条目包含的文件 | 条目无相关文件。 |
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