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Can biomass distribution across trophic levels predict trophic cascades?
Ecology Letters ( IF 7.6 ) Pub Date : 2020-12-13 , DOI: 10.1111/ele.13658
Núria Galiana 1 , Jean‐François Arnoldi 2 , Matthieu Barbier 1 , Amandine Acloque 1 , Claire Mazancourt 1 , Michel Loreau 1
Affiliation  

The biomass distribution across trophic levels (biomass pyramid) and cascading responses to perturbations (trophic cascades) are archetypal representatives of the interconnected set of static and dynamical properties of food chains. A vast literature has explored their respective ecological drivers, sometimes generating correlations between them. Here we instead reveal a fundamental connection: both pyramids and cascades reflect the dynamical sensitivity of the food chain to changes in species intrinsic rates. We deduce a direct relationship between cascades and pyramids, modulated by what we call trophic dissipation – a synthetic concept that encodes the contribution of top‐down propagation of consumer losses in the biomass pyramid. Predictable across‐ecosystem patterns emerge when systems are in similar regimes of trophic dissipation. Data from 31 aquatic mesocosm experiments demonstrate how our approach can reveal the causal mechanisms linking trophic cascades and biomass distributions, thus providing a road map to deduce reliable predictions from empirical patterns.

中文翻译:

营养水平上的生物量分布可以预测营养级联吗?

整个营养层的生物量分布(生物量金字塔)和对扰动的级联响应(营养级联)是食物链静态和动态特性相互联系的原型代表。大量文献探索了它们各自的生态驱动力,有时在它们之间产生了相关性。相反,在这里,我们揭示了一个基本的联系:金字塔和级联都反映了食物链对物种内在速率变化的动态敏感性。我们推导出级联和金字塔之间的直接关系,并通过我们所谓的营养耗散进行调节-营养概念,该概念编码了生物质金字塔中消费者损失自上而下传播的贡献。当系统处于类似的营养耗散状态时,就会出现可预测的跨生态系统模式。
更新日期:2021-02-12
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