Environmentally‐induced noise dampens and reddens with increasing trophic level in a complex food web

Environmentally‐induced noise dampens and reddens with increasing trophic level in a complex food web
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随着复杂食物网中营养水平的增加,环境引起的噪音会减弱和变红

DOI:
10.1111/oik.05575
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发表时间:
2018
期刊:
影响因子:
3.4
通讯作者:
Valdovinos, Fernanda S.
Valdovinos, Fernanda S.
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Kuparinen, Anna;Perälä, Tommi;Martinez, Neo D.;Valdovinos, Fernanda S.

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温度、降水、光照和养分的有效性等关键非生物因子的随机变异性对物种的生态功能和进化命运有很大影响。尽管有这样的影响,生态学家通常忽略了非生物随机性对生态网络结构和动力学的影响。在这里,我们通过提出环境噪声形式的非生物随机性如何影响食物网内物种的种群动态的理论来帮助填补这一空白。我们通过分析康斯坦茨湖的异速生长营养网络模型来做到这一点,该模型受到正(红)、负(蓝)和非自相关(白)非生物时间变异(噪声)的影响,这些非生物变化(噪声)被引入到基本物种的承载能力中。我们发现,无论引入的噪声的颜色如何,网络中物种生物量的时间变异性都是红色的(即其正相关增加)和抑制(即变化的幅度减小),因为环境噪声通过食物网从底部到顶部的摄食作用传播。变红反映了复杂的食物网动态对噪声诱导的种群变异性的缓冲,使得无噪声确定性动态的非自相关振荡变为正自相关。我们的研究有助于解释经常观察到的自然种群的红色变异性,因为我们提出,通过与一系列物种的身体大小组成的食物网对环境噪声进行生态处理,可以减少自然界中的种群变异性。
Stochastic variability of key abiotic factors including temperature, precipitation and the availability of light and nutrients greatly influences species’ ecological function and evolutionary fate. Despite such influence, ecologists have typically ignored the effect of abiotic stochasticity on the structure and dynamics of ecological networks. Here we help to fill that gap by advancing the theory of how abiotic stochasticity, in the form of environmental noise, affects the population dynamics of species within food webs. We do this by analysing an allometric trophic network model of Lake Constance subjected to positive (red), negative (blue), and non‐autocorrelated (white) abiotic temporal variability (noise) introduced into the carrying capacity of basal species. We found that, irrespective of the colour of the introduced noise, the temporal variability of the species biomass within the network both reddens (i.e. its positive autocorrelation increases) and dampens (i.e. the magnitude of variation decreases) as the environmental noise is propagated through the food web by its feeding interactions from the bottom to the top. The reddening reflects a buffering of the noise‐induced population variability by complex food web dynamics such that non‐autocorrelated oscillations of noise‐free deterministic dynamics become positively autocorrelated. Our research helps explain frequently observed red variability of natural populations by suggesting that ecological processing of environmental noise through food webs with a range of species’ body sizes reddens population variability in nature.
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