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  3. Decoding Information Flow and Sensory Pollution: A Systematic Framework for Understanding Species Interactions
 

Decoding Information Flow and Sensory Pollution: A Systematic Framework for Understanding Species Interactions

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BORIS DOI
10.48620/34075
Date of Publication
September 2024
Publication Type
Article
Division/Institute

Institute of Plant Sc...

Author
Jingyi Li
Ulrich Brose
Benjamin Rosenbaum
Ryser, Remo
Institute of Plant Sciences (IPS)
Emilio Berti
Subject(s)

500 - Science::580 - ...

Series
Ecology Letters
ISSN or ISBN (if monograph)
1461-023X
Publisher
Wiley
Language
English
Publisher DOI
10.1111/ele.14522
PubMed ID
39354907
Uncontrolled Keywords

interaction strength

predation

sensory pollution

trophic interaction

Description
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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/120221
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
2024_EcolLett_27_e14522.pdftextAdobe PDF1.26 MBAttribution-NonCommercial (CC BY-NC 4.0)publishedOpen
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