Power laws in species’ biotic interaction networks can be inferred from co-occurrence data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Power laws in species’ biotic interaction networks can be inferred from co-occurrence data ; volume:8 ; number:2 ; day:27 ; month:11 ; year:2023 ; pages:209-217 ; date:2.2024
Nature ecology & evolution ; 8, Heft 2 (27.11.2023), 209-217, 2.2024

Creator: Galiana, Nuria
Arnoldi, Jean-François
Mestre, Frederico
Rozenfeld, Alejandro
Araújo, Miguel B.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41559-023-02254-y

URN: urn:nbn:de:101:1-2410090809432.433342237690

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:33 AM CEST

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Galiana, Nuria
Arnoldi, Jean-François
Mestre, Frederico
Rozenfeld, Alejandro
Araújo, Miguel B.
SpringerLink (Online service)

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Power laws in species’ biotic interaction networks can be inferred from co-occurrence data

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Other Objects (12)

Author Correction: Power laws in species’ biotic interaction networks can be inferred from co-occurrence data

Co-occurrence based texture synthesis

Assessing Biotic and Abiotic Interactions of Microorganisms in Amazonia through Co-Occurrence Networks and DNA Metabarcoding

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Maximal Mixed-Drove Co-occurrence Patterns

Evolutionary cores of domain co-occurrence networks

Co-occurrence of transcription factor binding sites

Cooperatively Managing and Exploiting Distributed Co-occurrence Graphs

Co-occurrence of anaerobic bacteria in colorectal carcinomas

Constructing gene similarity networks using co-occurrence probabilities

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Vector-virus interaction affects viral loads and co-occurrence

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Co-occurrence based texture synthesis

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Constructing gene similarity networks using co-occurrence probabilities

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Vector-virus interaction affects viral loads and co-occurrence

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