DOI: 10.1038/s41559-019-1089-6
论文题名: Phenotypic memory drives population growth and extinction risk in a noisy environment
作者: Rescan M. ; Grulois D. ; Ortega-Aboud E. ; Chevin L.-M.
刊名: Nature Ecology and Evolution
ISSN: 2397334X
出版年: 2020
卷: 4, 期: 2 语种: 英语
Scopus关键词: article
; autocorrelation
; Dunaliella salina
; inheritance
; memory
; microalga
; noise
; nonhuman
; population dynamics
; population growth
; prediction
; salinity
英文摘要: Random environmental fluctuations pose major threats to wild populations. As patterns of environmental noise are themselves altered by global change, there is a growing need to identify general mechanisms underlying their effects on population dynamics. This notably requires understanding and predicting population responses to the colour of environmental noise, in other words its temporal autocorrelation pattern. Here, we show experimentally that environmental autocorrelation has a large influence on population dynamics and extinction rates, which can be predicted accurately provided that a memory of past environment is accounted for. We exposed nearly 1,000 lines of the microalgae Dunaliella salina to randomly fluctuating salinity, with autocorrelation ranging from negative to highly positive. We found lower population growth, and twice as many extinctions, under lower autocorrelation. These responses closely matched predictions based on a tolerance curve with environmental memory, showing that non-genetic inheritance can be a major driver of population dynamics in randomly fluctuating environments. © 2020, The Author(s), under exclusive licence to Springer Nature Limited. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159759
Appears in Collections: 气候变化与战略
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作者单位: CEFE, CNRS, University of Montpellier, University of Paul Valéry Montpellier 3, EPHE, IRD, Montpellier, France
Recommended Citation:
Rescan M.,Grulois D.,Ortega-Aboud E.,et al. Phenotypic memory drives population growth and extinction risk in a noisy environment[J]. Nature Ecology and Evolution,2020-01-01,4(2)