Untangling the complexity of priority effects in multispecies communities

Song, Chuliang; Fukami, Tadashi; Saavedra, Serguei

doi:10.1111/ele.13870

Cited by 27 publications

(32 citation statements)

References 87 publications

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“…Understanding how species assemble into communities is a central issue in community ecology (Fukami, 2015; Song et al ., 2021; Serván & Allesina, 2021). Community assembly is typically modeled as a sequence of invasions of species from a regional species pool into a local patch, where the success of each invasion may depend on both the environmental conditions as well as the local community itself (HilleRis-Lambers et al ., 2012; Barbier et al ., 2021).…”

Section: Introductionmentioning

confidence: 99%

Continuous assembly required: perpetual species turnover in two trophic level ecosystems

Spaak

Adler

Ellner

2023

Preprint

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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 trophic-level community model to show that continuous assembly is driven by the relative niche width of the trophic levels. If predators have a larger niche width than prey, community assembly converges to a stable equilibrium. Conversely, if predators have a smaller niche width than prey, then community composition never stabilizes. Evidence that food webs need not reach a stable equilibrium has important implications, as many ecological theories of community ecology based on equilibria may be difficult to apply to such food webs.

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Section: Introductionmentioning

confidence: 99%

Continuous assembly required: perpetual species turnover in two trophic level ecosystems

Spaak

Adler

Ellner

2023

Preprint

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“…Previous studies have demonstrated that the process of community assembly is closely related to its predictability(18, 35, 36), so we explored the association between microbial community assembly mechanisms in AS systems and the predictability of the corresponding taxa. By neutral community model (NCM) model fitting, we found that stochastic processes explained 63.3% of the microbial community variation in AS systems (Fig.…”

Section: Resultsmentioning

confidence: 99%

Predicting microbial community compositions in wastewater treatment plants using artificial neural networks

Liu

Nie

2022

Preprint

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Activated sludge (AS) of wastewater treatment plants (WWTP) is one of the world's largest artificial microbial ecosystems and the microbial community of the AS system is closely related to WWTP performance. However, how to predict its community structure is still unclear. Here, we used artificial neural networks (ANN) to predict the microbial compositions of AS systems collected from WWTPs located worldwide. We demonstrated that the microbial compositions of AS systems are predictable using our approach. The predictive accuracy R21:1 of Shannon-Wiener index reached 60.42%, and the average R21:1 of ASVs appearing in at least 10% of samples (ASVs>10%) and core taxa were 35.09% and 42.99%, respectively. We also found that the predictability of ASVs>10% was significantly positively correlated with their relative abundance and occurrence frequency, but significantly negatively correlated with potential migration rate. The typical functional groups such as nitrifiers, denitrifiers, polyphosphate-accumulating organisms (PAOs) and glycogen-accumulating organisms (GAOs), and filamentous organisms in AS systems could also be well recovered using an ANN model, with the R21:1 ranging from 32.62% to 56.81%. Furthermore, we found that industry wastewater source (IndConInf) had good predictive abilities, although its correlation with ASVs>10% in the Mantel test analysis was weak, which suggested important factors that cannot be identified using traditional methods may be highlight by the ANN model. Our results provide a better understanding of the factors affecting AS communities through the prediction of the microbial community of AS systems, which could lead to insights for improved operating parameters and control of community structure.

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“…Besides the demonstrated examples, we also expect that our metric should be particular useful in determining the relationship between species composition and ecosystem functioning (Grman et al ., 2018; Mori et al ., 2018) and stability (McGranahan et al ., 2018) because it explicitly takes species-association into account. When applied in the temporal context, the hypervolume-based beta diversity is also a measure of community change predictability (Song et al ., 2021; De Cáceres et al ., 2019): for example, in time-lag analysis, higher beta diversity indicates more random community composition changes over time while lower beta diversity indicates more directional changes (Jones et al ., 2017).…”

Section: Discussionmentioning

confidence: 99%

Reconceptualizing beta diversity: a hypervolume geometric approach

Song

Bennett

et al. 2022

Preprint

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Beta diversity---the variation among community compositions in a region---is a fundamental indicator of biodiversity. Despite a diverse set of measures to quantify beta diversity, most measures have posited that beta diversity is maximized when each community has one distinct species. However, this postulate has ignored the importance of non-additivity of ecological systems (i.e., a community with two species is ecologically different from two communities with one species). Here, to account for this, we provide a geometric approach to measure beta diversity as the hypervolume of the geometric embedding of a metacommunity. We show that the hypervolume measure is closely linked to and naturally extends previous information- and variation-based measures. In addition, our hypervolume approach provides a unified geometric framework for widely adopted extensions on the basic measure of beta diversity: the contribution of duplications in presence/absence data, temporal changes, turnover-nestedness decomposition, species similarity and functional complementarity, and community/species-specific contributions. We apply our new geometric measures to empirical data and address two long-standing questions on beta diversity (latitudinal pattern and sampling efforts) and present novel ecological insights. In sum, our geometric approach reconceptualizes beta diversity, synthesizes previous measures and is immediately applicable to existing data.

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Untangling the complexity of priority effects in multispecies communities

Cited by 27 publications

References 87 publications

Continuous assembly required: perpetual species turnover in two trophic level ecosystems

Continuous assembly required: perpetual species turnover in two trophic level ecosystems

Predicting microbial community compositions in wastewater treatment plants using artificial neural networks

Reconceptualizing beta diversity: a hypervolume geometric approach

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