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fortunes: Stressor synchronicity and fluctuating intensity influence biological impacts.

Fluctuating fortunes: Stressor synchronicity and fluctuating intensity influence biological impacts.

机构信息

Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, Gold Coast, Queensland, Australia.

出版信息

Ecol Lett. 2022 Dec;25(12):2611-2623. doi: 10.1111/ele.14120. Epub 2022 Oct 11.

DOI:10.1111/ele.14120
PMID:36217804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9828260/
Abstract

Ecosystems remain under enormous pressure from multiple anthropogenic stressors. Manipulative experiments evaluating stressor interactions and impacts mostly apply stressors under static conditions without considering how variable stressor intensity (i.e. fluctuations) and synchronicity (i.e. timing of fluctuations) affect biological responses. We ask how variable stressor intensity and synchronicity, and interaction type, can influence how multiple stressors affect seagrass. At the highest intensities, fluctuating stressors applied asynchronously reduced seagrass biomass 36% more than for static stressors, yet no such difference occurred for photosynthetic capacity. Testing three separate hypotheses to predict underlying drivers of differences in biological responses highlighted alternative modes of action dependent on how stressors fluctuated over time. Given that environmental conditions are constantly changing, assessing static stressors may lead to inaccurate predictions of cumulative effects. Translating multiple stressor experiments to the real world, therefore, requires considering variability in stressor intensity and the synchronicity of fluctuations.

摘要

生态系统仍然承受着多种人为压力源的巨大压力。评估压力源相互作用和影响的操纵性实验主要在静态条件下施加压力源,而不考虑压力源强度(即波动)和同步性(即波动的时间)如何影响生物反应。我们想知道,可变的压力源强度和同步性以及相互作用类型如何影响多种压力源对海草的影响。在最高强度下,异步施加的波动压力源使海草生物量减少了 36%,而静态压力源则没有这种差异,但光合作用能力没有差异。通过测试三个单独的假设来预测生物反应差异的潜在驱动因素,突出了依赖于压力源随时间波动的不同作用模式。鉴于环境条件一直在变化,评估静态压力源可能会导致对累积效应的预测不准确。因此,将多压力源实验转化到现实世界中需要考虑压力源强度的可变性和波动的同步性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/92ce5a334679/ELE-25-2611-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/3210a68c3d7d/ELE-25-2611-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/1f5908f289ae/ELE-25-2611-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/55f3385d5613/ELE-25-2611-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/92ce5a334679/ELE-25-2611-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/3210a68c3d7d/ELE-25-2611-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/1f5908f289ae/ELE-25-2611-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/55f3385d5613/ELE-25-2611-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe1f/9828260/92ce5a334679/ELE-25-2611-g005.jpg

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本文引用的文献

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Interactions among multiple stressors vary with exposure duration and biological response.多种胁迫因素之间的相互作用随暴露持续时间和生物反应而变化。
Proc Biol Sci. 2022 May 11;289(1974):20220348. doi: 10.1098/rspb.2022.0348.
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Interactive effects of multiple stressors vary with consumer interactions, stressor dynamics and magnitude.多种胁迫源的相互作用因消费者相互作用、胁迫源动态和强度而异。
Ecol Lett. 2022 Jun;25(6):1483-1496. doi: 10.1111/ele.14013. Epub 2022 Apr 27.
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Anthropogenic pressures and life history predict trajectories of seagrass meadow extent at a global scale.
人为压力和生活史预测了全球范围内海草草甸范围的轨迹。
Proc Natl Acad Sci U S A. 2021 Nov 9;118(45). doi: 10.1073/pnas.2110802118.
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On the sensitivity of food webs to multiple stressors.论食物网对多种胁迫的敏感性。
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Diuron effects on photosynthesis and vertical migration of microphytobenthos: Potential rapid bioassessment of herbicide toxicity in coastal sediments.敌草隆对底栖微型藻类光合作用和垂直迁移的影响:沿海沉积物中除草剂毒性的快速生物评估潜力。
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Long-term declines and recovery of meadow area across the world's seagrass bioregions.世界海草草地区域的草地长期减少和恢复。
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Rapid evolution generates synergism between multiple stressors: Linking theory and an evolution experiment.快速进化产生多种胁迫因素之间的协同作用:理论与进化实验的联系。
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The Temporal Dynamics of Multiple Stressor Effects: From Individuals to Ecosystems.多重胁迫效应的时间动态:从个体到生态系统。
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