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

interaction strength predation sensory pollution trophic interaction

Journal

Ecology letters
ISSN: 1461-0248
Titre abrégé: Ecol Lett
Pays: England
ID NLM: 101121949

Informations de publication

Date de publication:
Sep 2024
Historique:
revised: 23 08 2024
received: 10 05 2024
accepted: 04 09 2024
medline: 2 10 2024
pubmed: 2 10 2024
entrez: 2 10 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 39354907
doi: 10.1111/ele.14522
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14522

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-FZT 118

Informations de copyright

© 2024 The Author(s). Ecology Letters published by John Wiley & Sons Ltd.

Auteurs

Jingyi Li (J)

Institute of Biodiversity, Friedrich Schiller University, Jena, Germany.
EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

Ulrich Brose (U)

Institute of Biodiversity, Friedrich Schiller University, Jena, Germany.
EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

Benjamin Rosenbaum (B)

Institute of Biodiversity, Friedrich Schiller University, Jena, Germany.
EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

Remo Ryser (R)

Institute of Biodiversity, Friedrich Schiller University, Jena, Germany.
EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Institute of Plant Sciences, University of Bern, Bern, Switzerland.

Emilio Berti (E)

Institute of Biodiversity, Friedrich Schiller University, Jena, Germany.
EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

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Classifications MeSH