2023
DOI: 10.1101/2023.03.08.531662
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Continuous assembly required: perpetual species turnover in two trophic level ecosystems

Abstract: Community assembly is often treated as deterministic, converging on one or at most a few possible stable endpoints. However, in nature we typically observe continuous change in community composition, which is often ascribed to environmental change. But continuous changes in community composition can also arise in deterministic, time-invariant community models, especially food web models. Our goal was to determine why some models produce continuous assembly and others do not. We investigated a simple two trophi… Show more

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Cited by 3 publications
(3 citation statements)
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“…The presence of internal structure led some species to persist and some species to disappear and reappear according to stochastic events, which creates the observed asynchronous fluctuations of species gains and losses. When species weakly interact, more species were included in the local communities from the regional species pool leading to highly even species distributions and low species turnover, which rendered species disappearances and (re)appearances independent events confirming previous expectations (19). The synthetic analysis also revealed that the discovered causal relationships among species traits in stochastic model communities can be utilized to closely reproduce observed biodiversity patterns, without directly inferring species interactions coefficients from empirical data.…”
Section: Discussionsupporting
confidence: 73%
See 1 more Smart Citation
“…The presence of internal structure led some species to persist and some species to disappear and reappear according to stochastic events, which creates the observed asynchronous fluctuations of species gains and losses. When species weakly interact, more species were included in the local communities from the regional species pool leading to highly even species distributions and low species turnover, which rendered species disappearances and (re)appearances independent events confirming previous expectations (19). The synthetic analysis also revealed that the discovered causal relationships among species traits in stochastic model communities can be utilized to closely reproduce observed biodiversity patterns, without directly inferring species interactions coefficients from empirical data.…”
Section: Discussionsupporting
confidence: 73%
“…partially or non-overlapping niches). Species fitness differences and interactions are the main drivers of assembly that hypothetically might lead to not only correlated but causally-related species gain-loss events (19). To test this cause-effect relationship, we use time-series data of benthic invertebrate communities from 66 locations across New Zealand recorded between 1990 and 2019 (Fig 1A).…”
Section: Introductionmentioning
confidence: 99%
“…Yet, when applied to more complex communities, they can lead to new insight. For example, Spaak, Millet, et al (2023) derived a null expectation for the effect of species richness, Spaak, Adler, and Ellner (2023a) and Spaak, Millet, et al (2023) applied these methods to trait-based phytoplankton and zooplankton models with non-linear species interactions.…”
Section: Community Focusmentioning
confidence: 99%