A bioenergetic framework for the temperature dependence of trophic interactions

A bioenergetic framework for the temperature dependence of trophic interactions
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DOI:
10.1111/ele.12307
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发表时间:
2014-08-01
期刊:
影响因子:
8.8
通讯作者:
O'Connor, Mary I.
O'Connor, Mary I.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Gilbert, Benjamin;Tunney, Tyler D.;O'Connor, Mary I.

文献摘要

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温度变化可以通过改变营养相互作用的强度和稳定性来改变生态群落。由于许多生态速率受到温度的限制,因此需要新的方法来了解多种速率的同时变化如何改变物种的相对性能及其营养相互作用。我们开发了一个充满活力的方法来确定跨营养水平的生物量通量和直立生物量之间的关系。我们的方法将生态速率和营养动力学联系起来,以测量营养相互作用强度的温度依赖性变化,并确定这些变化如何改变食物网的稳定性。它通过使用生物质作为一种共同的能量货币来实现这一目标,并隔离了所有消费者-资源相互作用中共同的三个温度依赖过程:资源的生物质积累、资源消耗和消费者死亡率。利用这一框架,我们澄清了温度何时以及如何改变消费者对资源生物量的比例、平衡弹性、消费者可变性、灭绝风险以及瞬态与平衡动态。最后,我们描述了物种对温度反应的关键不对称性,这些不对称性产生了这些不同的动态行为,并确定了它们何时可能出现。总的来说,我们的框架提供了在生态速率、生物量比和稳定性方面对营养动力学的温度依赖性的机制和更统一的理解。
Changing temperature can substantially shift ecological communities by altering the strength and stability of trophic interactions. Because many ecological rates are constrained by temperature, new approaches are required to understand how simultaneous changes in multiple rates alter the relative performance of species and their trophic interactions. We develop an energetic approach to identify the relationship between biomass fluxes and standing biomass across trophic levels. Our approach links ecological rates and trophic dynamics to measure temperature-dependent changes to the strength of trophic interactions and determine how these changes alter food web stability. It accomplishes this by using biomass as a common energetic currency and isolating three temperature-dependent processes that are common to all consumer-resource interactions: biomass accumulation of the resource, resource consumption and consumer mortality. Using this framework, we clarify when and how temperature alters consumer to resource biomass ratios, equilibrium resilience, consumer variability, extinction risk and transient vs. equilibrium dynamics. Finally, we characterise key asymmetries in species responses to temperature that produce these distinct dynamic behaviours and identify when they are likely to emerge. Overall, our framework provides a mechanistic and more unified understanding of the temperature dependence of trophic dynamics in terms of ecological rates, biomass ratios and stability.