Coexistence holes characterize the assembly and disassembly of multispecies systems

Angulo, Marco Tulio; Kelley, Aaron; Montejano, Luis; Song, Chuliang; Saavedra, Serguei

doi:10.1038/s41559-021-01462-8

Cited by 21 publications

(38 citation statements)

References 76 publications

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“…Although not as widely recognised, three other outcomes are also possible in two‐species competition: (iv) two species eventually coexist despite requiring a specific arrival order; (v) only one species survives or two species coexist depending on who arrives first; and (vi) the species that arrives late always replaces the species that arrives early. The presence of these other possibilities has been supported by empirical evidence (Amor et al, 2020; Angulo et al, 2021; Drake, 1991; Warren et al, 2003). Of these six scenarios, (iii), (v) and (vi) all represent priority effects.…”

Section: Introductionmentioning

confidence: 84%

“…In invasion analysis (Grainger et al, 2019b), the invasion criteria assume only two possibilities for a community with

n

species after invasion: Either it has n + 1 species (if the invasion was successful) or remains with

n

species (if the invasion was unsuccessful). However, evidence indicates that the set of potential assembly dynamics in ecological communities can be larger than those considered by invasion analyses (Amor et al, 2020; Angulo et al, 2021; Barabás et al, 2018; Carlström et al, 2019; Deng et al, 2021; Saavedra et al, 2017; Warren et al, 2003). Thus, our graph‐based approach may provide a more realistic analysis of ecological dynamics than those approaches focusing on history‐independent interaction strength and invasion analysis.…”

Section: Discussionmentioning

confidence: 99%

“…knowing the nodes in assembly graphs). While a community with S species has 2 S ‒ 1 potential species combinations, it has been shown that only a small fraction of such combinations can persist (Angulo et al, 2021). Because of the sparsity of these persistent combinations, recently developed computational tools based on Bayesian inference (Maynard et al, 2020) and deep learning (Michel‐Mata et al, 2021) can facilitate the inference of all persistent combinations using a small number of experiments in a community with S species.…”

Section: From Theory To Testable Hypothesesmentioning

confidence: 99%

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Untangling the complexity of priority effects in multispecies communities

2021

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The history of species immigration can dictate how species interact in local communities, thereby causing historical contingency in community assembly. Since immigration history is rarely known, these historical influences, or priority effects, pose a major challenge in predicting community assembly. Here, we provide a graph-based, non-parametric, theoretical framework for understanding the predictability of community assembly as affected by priority effects. To develop this framework, we first show that the diversity of possible priority effects increases super-exponentially with the number of species. We then point out that, despite this diversity, the consequences of priority effects for multispecies communities can be classified into four basic types, each of which reduces community predictability: alternative stable states, alternative transient paths, compositional cycles and the lack of escapes from compositional cycles to stable states. Using a neural network, we show that this classification of priority effects enables accurate explanation of community predictability, particularly when each species immigrates repeatedly. We also demonstrate the empirical utility of our theoretical framework by applying it to two experimentally derived assembly graphs of algal and ciliate communities. Based on these analyses, we discuss how the framework proposed here can help guide experimental investigation of the predictability of historydependent community assembly.

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Section: Introductionmentioning

confidence: 84%

“…In invasion analysis (Grainger et al, 2019b), the invasion criteria assume only two possibilities for a community with

n

species after invasion: Either it has n + 1 species (if the invasion was successful) or remains with

n

Section: Discussionmentioning

confidence: 99%

Section: From Theory To Testable Hypothesesmentioning

confidence: 99%

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Untangling the complexity of priority effects in multispecies communities

2021

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“…14 ). Firstly, such experiments might miss potentially important stabilizing effects that only emerge from interaction networks in which any given pair of species is not necessarily able to coexist (e.g., higher-order interactions 29, 39 ). Secondly, standardized, short term experiments might not be able to capture temporal and spatial variation that could be important for species coexistence (e.g., temporal and spatial storage effects 40 ).…”

Section: Discussionmentioning

confidence: 99%

Competition contributes to both warm and cool range edges

Lyu

Alexander

2022

Preprint

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Competition plays an important role in shaping species' spatial distributions. However, it remains unclear where and how competition regulates species' range limits. In an experiment with plants originating from low and high elevations and conducted across an elevation gradient in the Swiss Alps, we found that the ability of both lowland and highland species to persist under competition was reduced beyond versus within their elevation ranges, suggesting that competition helps set both lower and upper elevation range limits of these species. Furthermore, the reduced ability of pairs of lowland or highland species to coexist beyond their range edges was mainly driven by diminishing niche differences; changes in both niche differences and relative fitness differences drove weakening competitive dominance of lowland over highland species with increasing elevation. These results highlight the need to account for competitive interactions and investigate underlying coexistence mechanisms to understand current and future species distributions.

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“…Persistent homology also provides tools for capturing the topology of higher-order interaction structures (see Torres et al, 2021). For example, Betti numbers measure the number of holes of (a) given dimension(s) within a higher-order structure (Battiston et al, 2020) and can be used to compare the topology of higher-order structures in social and ecological networks, including their application to assembly and disassembly holes (Angulo et al, 2021). The zeroth, first, second Betti numbers of a higher-order structure are possible to visualize conceptually, capturing the number of connected components, holes and voids, respectively.…”

Section: Persistent Homologymentioning

confidence: 99%

Capturing complex interactions in disease ecology with simplicial sets

2022

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Network approaches have revolutionized the study of ecological interactions. Social, movement and ecological networks have all been integral to studying infectious disease ecology. However, conventional (dyadic) network approaches are limited in their ability to capture higher‐order interactions. We present simplicial sets as a tool that addresses this limitation. First, we explain what simplicial sets are. Second, we explain why their use would be beneficial in different subject areas. Third, we detail where these areas are: social, transmission, movement/spatial and ecological networks and when using them would help most in each context. To demonstrate their application, we develop a novel approach to identify how pathogens persist within a host population. Fourth, we provide an overview of how to use simplicial sets, highlighting specific metrics, generative models and software. Finally, we synthesize key research questions simplicial sets will help us answer and draw attention to methodological developments that will facilitate this.

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Coexistence holes characterize the assembly and disassembly of multispecies systems

Abstract: Coexistence holes characterize the assembly and disassembly of multispecies systemsThe MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters.

Cited by 21 publications

References 76 publications

Untangling the complexity of priority effects in multispecies communities

Untangling the complexity of priority effects in multispecies communities

Competition contributes to both warm and cool range edges

Capturing complex interactions in disease ecology with simplicial sets

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