Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/ele.13533 |
Using a newly introduced framework to measure ecological stressor interactions | |
Tekin, Elif1,2; Diamant, Eleanor S.1; Cruz-Loya, Mauricio2; Enriquez, Vivien1; Singh, Nina1; Savage, Van M.1,2,3; Yeh, Pamela J.1,3 | |
2020-07-05 | |
发表期刊 | ECOLOGY LETTERS
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ISSN | 1461-023X |
EISSN | 1461-0248 |
出版年 | 2020 |
文章类型 | Review;Early Access |
语种 | 英语 |
国家 | USA |
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. |
英文关键词 | Antagonism antibiotics food webs multiple stressors synergy |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000545317000001 |
WOS关键词 | HIGHER-ORDER INTERACTIONS ; MULTIPLE ANTHROPOGENIC STRESSORS ; CLIMATE-CHANGE ; IMPACTS ; COMPLEX ; BIODIVERSITY ; COMMUNITIES ; TEMPERATURE ; DISTURBANCE ; ANTAGONISM |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/281765 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA; 2.Univ Calif Los Angeles, David Geffen Sch Med, Dept Computat Med, Los Angeles, CA 90095 USA; 3.Santa Fe Inst, Santa Fe, NM 87501 USA |
推荐引用方式 GB/T 7714 | Tekin, Elif,Diamant, Eleanor S.,Cruz-Loya, Mauricio,et al. Using a newly introduced framework to measure ecological stressor interactions[J]. ECOLOGY LETTERS,2020. |
APA | Tekin, Elif.,Diamant, Eleanor S..,Cruz-Loya, Mauricio.,Enriquez, Vivien.,Singh, Nina.,...&Yeh, Pamela J..(2020).Using a newly introduced framework to measure ecological stressor interactions.ECOLOGY LETTERS. |
MLA | Tekin, Elif,et al."Using a newly introduced framework to measure ecological stressor interactions".ECOLOGY LETTERS (2020). |
条目包含的文件 | 条目无相关文件。 |
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