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Neutral competition boosts cycles and chaos in simulated food webs
Author(s) -
Pablo RodríguezSánchez,
Egbert H. van Nes,
Marten Scheffer
Publication year - 2020
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.191532
Subject(s) - competitor analysis , food web , competition (biology) , chaotic , biodiversity , predation , ecology , competitive exclusion , ecosystem , biology , computer science , economics , artificial intelligence , management
Similarity of competitors has been proposed to facilitate coexistence of species because it slows down competitive exclusion, thus making it easier for equalizing mechanisms to maintain diverse communities. On the other hand, previous studies suggest that chaotic ecosystems can have a higher biodiversity. Here, we link these two previously unrelated findings, by analysing the dynamics of food web models. We show that near-neutrality of competition of prey, in the presence of predators, increases the chance of developing chaotic dynamics. Moreover, we confirm that chaotic dynamics correlate with a higher biodiversity.

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