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Decoding Information Flow and Sensory Pollution: A Systematic Framework for Understanding Species Interactions
Ecology Letters ( IF 7.6 ) Pub Date : 2024-10-02 , DOI: 10.1111/ele.14522
Jingyi Li, Ulrich Brose, Benjamin Rosenbaum, Remo Ryser, Emilio Berti

Information transmission among species is a fundamental aspect of natural ecosystems that faces significant disruption from rapidly growing anthropogenic sensory pollution. Understanding the constraints of information flow on species' trophic interactions is often overlooked due to a limited comprehension of the mechanisms of information transmission and the absence of adequate analytical tools. To fill this gap, we developed a sensory information‐constrained functional response (IFR) framework, which accounts for the information transmission between predator and prey. Through empirical evaluation, the IFR provided a biologically grounded explanation for the systematic variation of functional responses. Specifically, it posits that the variation of different functional‐response shapes, associated with community stability, is attributable to limitations in sensory information transmission among species. This not only deepens our mechanistic understanding of species interactions but also elucidates how anthropogenic activities are reshaping species interactions and community dynamics by disrupting information exchange through sensory pollution.

中文翻译:


解码信息流和感官污染:理解物种相互作用的系统框架



物种间的信息传输是自然生态系统的一个基本方面,自然生态系统面临着快速增长的人为感官污染的严重破坏。由于对信息传递机制的理解有限且缺乏足够的分析工具,了解信息流对物种营养相互作用的限制常常被忽视。为了填补这一空白,我们开发了一种感觉信息约束功能响应(IFR)框架,该框架解释了捕食者和猎物之间的信息传递。通过实证评估,IFR 为功能反应的系统变异提供了基于生物学的解释。具体来说,它假设与群落稳定性相关的不同功能反应形状的变化可归因于物种间感觉信息传递的限制。这不仅加深了我们对物种相互作用的机制理解,而且阐明了人类活动如何通过感官污染扰乱信息交换来重塑物种相互作用和群落动态。
更新日期:2024-10-02
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