The geometry of evolved community matrix spectra

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Standard

The geometry of evolved community matrix spectra. / Lastad, Silja Borring; Haerter, Jan O.

I: Scientific Reports, Bind 12, Nr. 1, 14668, 29.08.2022.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Lastad, SB & Haerter, JO 2022, 'The geometry of evolved community matrix spectra', Scientific Reports, bind 12, nr. 1, 14668. https://doi.org/10.1038/s41598-022-17379-6

APA

Lastad, S. B., & Haerter, J. O. (2022). The geometry of evolved community matrix spectra. Scientific Reports, 12(1), [14668]. https://doi.org/10.1038/s41598-022-17379-6

Vancouver

Lastad SB, Haerter JO. The geometry of evolved community matrix spectra. Scientific Reports. 2022 aug. 29;12(1). 14668. https://doi.org/10.1038/s41598-022-17379-6

Author

Lastad, Silja Borring ; Haerter, Jan O. / The geometry of evolved community matrix spectra. I: Scientific Reports. 2022 ; Bind 12, Nr. 1.

Bibtex

@article{2db7a19cdc6940b99f5b6068b44eac1b,
title = "The geometry of evolved community matrix spectra",
abstract = "Random matrix theory has been applied to food web stability for decades, implying elliptical eigenvalue spectra and that large food webs should be unstable. Here we allow feasible food webs to self-assemble within an evolutionary process, using simple Lotka-Volterra equations and several elementary interaction types. We show that, as complex food webs evolve under 10(5) invasion attempts, the community matrix spectra become bi-modal, rather than falling onto elliptical geometries. Our results raise questions as to the applicability of random matrix theory to the analysis of food web steady states.",
keywords = "FOOD WEBS, MODEL-ECOSYSTEMS, BIODIVERSITY, STABILITY, CONNECTANCE, INCREASES",
author = "Lastad, {Silja Borring} and Haerter, {Jan O.}",
year = "2022",
month = aug,
day = "29",
doi = "10.1038/s41598-022-17379-6",
language = "English",
volume = "12",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - The geometry of evolved community matrix spectra

AU - Lastad, Silja Borring

AU - Haerter, Jan O.

PY - 2022/8/29

Y1 - 2022/8/29

N2 - Random matrix theory has been applied to food web stability for decades, implying elliptical eigenvalue spectra and that large food webs should be unstable. Here we allow feasible food webs to self-assemble within an evolutionary process, using simple Lotka-Volterra equations and several elementary interaction types. We show that, as complex food webs evolve under 10(5) invasion attempts, the community matrix spectra become bi-modal, rather than falling onto elliptical geometries. Our results raise questions as to the applicability of random matrix theory to the analysis of food web steady states.

AB - Random matrix theory has been applied to food web stability for decades, implying elliptical eigenvalue spectra and that large food webs should be unstable. Here we allow feasible food webs to self-assemble within an evolutionary process, using simple Lotka-Volterra equations and several elementary interaction types. We show that, as complex food webs evolve under 10(5) invasion attempts, the community matrix spectra become bi-modal, rather than falling onto elliptical geometries. Our results raise questions as to the applicability of random matrix theory to the analysis of food web steady states.

KW - FOOD WEBS

KW - MODEL-ECOSYSTEMS

KW - BIODIVERSITY

KW - STABILITY

KW - CONNECTANCE

KW - INCREASES

U2 - 10.1038/s41598-022-17379-6

DO - 10.1038/s41598-022-17379-6

M3 - Journal article

C2 - 36038623

VL - 12

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 14668

ER -

ID: 319155183