Historical Contingency in Community Assembly: Integrating Niches, Species Pools, and Priority Effects

Annual Review of Ecology Evolution and Systematics, Journal Year: 2015, Volume and Issue: 46(1), P. 1 - 23

Published: Aug. 5, 2015

The order and timing of species immigration during community assembly can affect abundances at multiple spatial scales. Known as priority effects, these effects cause historical contingency in the structure function communities, resulting alternative stable states, transient or compositional cycles. mechanisms fall into two categories, niche preemption modification, conditions for by be organized groups, those regarding regional pool properties local population dynamics. Specifically, requirements must satisfied to occur: contains that together dynamics are rapid enough early-arriving preempt modify niches before other arrive. Organizing current knowledge this way reveals an outstanding key question: How pools yield generated maintained?

Language: Английский

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Disentangling the importance of ecological niches from stochastic processes across scales

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2011, Volume and Issue: 366(1576), P. 2351 - 2363

Published: July 18, 2011

Deterministic theories in community ecology suggest that local, niche-based processes, such as environmental filtering, biotic interactions and interspecific trade-offs largely determine patterns of species diversity composition. In contrast, more stochastic emphasize the importance chance colonization, random extinction ecological drift. The schisms between deterministic perspectives, which date back to earliest days ecology, continue fuel contemporary debates (e.g. niches versus neutrality). As illustrated by pioneering studies Robert H. MacArthur co-workers, resolution these requires consideration how local processes changes across scales. Here, we develop a framework for disentangling relative generating site-to-site variation composition (β-diversity) along gradients (disturbance, productivity interactions) among biogeographic regions differ size regional pool. We illustrate discern using null-model approaches explicitly account factors inherently create turnover. By embracing scales, can build synthetic understanding structure biodiversity face emerge from factors.

Language: Английский

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The Application of Ecological Theory Toward an Understanding of the Human Microbiome

Science, Journal Year: 2012, Volume and Issue: 336(6086), P. 1255 - 1262

Published: June 7, 2012

The human-microbial ecosystem plays a variety of important roles in human health and disease. Each person can be viewed as an island-like "patch" habitat occupied by microbial assemblages formed the fundamental processes community ecology: dispersal, local diversification, environmental selection, ecological drift. Community assembly theory, metacommunity theory particular, provides framework for understanding dynamics microbiome, such compositional variability within between hosts. We explore three core scenarios microbiome assembly: development infants, representing previously unoccupied habitats; recovery from antibiotics, after disturbance; invasion pathogens, context invasive species. Judicious application may lead to improved strategies restoring maintaining microbiota crucial health-associated services that it provides.

Language: Английский

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Function and functional redundancy in microbial systems

Nature Ecology & Evolution, Journal Year: 2018, Volume and Issue: 2(6), P. 936 - 943

Published: April 12, 2018

Language: Английский

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Disentangling mechanisms that mediate the balance between stochastic and deterministic processes in microbial succession

Proceedings of the National Academy of Sciences, Journal Year: 2015, Volume and Issue: 112(11)

Published: March 2, 2015

Significance Across ecology, and particularly within microbial there is limited understanding of the mechanisms governing relative influences stochastic deterministic processes. Filling this knowledge gap a major challenge that requires development novel conceptual paradigms, experiments, ecological models. Here we ( i ) present model couples stochastic/deterministic balance to primary secondary succession, thereby integrating previously isolated domains; ii evaluate over 105 years ecosystem development, revealing systematic shift in type strength selection; iii couple empirical data with new simulation elucidate underlying characterize their scale dependency. The insights framework provided here represent nexus for cross-system integration.

Language: Английский

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The Unified Neutral Theory of Biodiversity and Biogeography at Age Ten

Trends in Ecology & Evolution, Journal Year: 2011, Volume and Issue: 26(7), P. 340 - 348

Published: May 12, 2011

Language: Английский

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How to make more out of community data? A conceptual framework and its implementation as models and software

Ecology Letters, Journal Year: 2017, Volume and Issue: 20(5), P. 561 - 576

Published: March 20, 2017

Abstract Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate integration between conceptual statistical approaches in community ecology, we propose Hierarchical Modelling Species Communities ( HMSC ) as a general, flexible framework for modern analysis data. While non‐manipulative data allow only correlative not causal inference, this facilitates formulation data‐driven hypotheses regarding processes that structure communities. We model environmental filtering by variation covariation responses individual characteristics their environment, with potential contingencies on traits phylogenetic relationships. capture biotic rules species‐to‐species association matrices, which may be estimated multiple spatial or temporal operationalise hierarchical Bayesian joint distribution model, implement it R‐ Matlab‐packages enable computationally efficient analyses large sets. Armed tool, ecologists can make sense many types data, including spatially explicit time‐series illustrate use through series diverse ecological examples.

Language: Английский

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A quantitative framework reveals ecological drivers of grassland microbial community assembly in response to warming

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Sept. 18, 2020

Abstract Unraveling the drivers controlling community assembly is a central issue in ecology. Although it generally accepted that selection, dispersal, diversification and drift are major processes, defining their relative importance very challenging. Here, we present framework to quantitatively infer mechanisms by phylogenetic bin-based null model analysis (iCAMP). iCAMP shows high accuracy (0.93–0.99), precision (0.80–0.94), sensitivity (0.82–0.94), specificity (0.95–0.98) on simulated communities, which 10–160% higher than those from entire community-based approach. Application of grassland microbial communities response experimental warming reveals dominant roles homogeneous selection (38%) ‘drift’ (59%). Interestingly, decreases over time, enhances primarily imposed Bacillales. In addition, has correlations with drought plant productivity under control. provides an effective robust tool quantify should also be useful for animal

Language: Английский

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Dispersal in microbes: fungi in indoor air are dominated by outdoor air and show dispersal limitation at short distances

The ISME Journal, Journal Year: 2013, Volume and Issue: 7(7), P. 1262 - 1273

Published: Feb. 21, 2013

Abstract The indoor microbiome is a complex system that thought to depend on dispersal from the outdoor biome and occupants’ combined with selective pressures imposed by behaviors building itself. We set out determine pattern of fungal diversity composition in air local scale identify processes behind pattern. surveyed airborne assemblages within 1-month time periods at two seasons, high replication, indoors outdoors, across standardized residences university housing facility. Fungal were diverse strongly determined no taxa found as indicators air. There was seasonal effect fungi both air, quantitatively more biomass detected outdoors than indoors. A strong signal isolation distance existed assemblages, despite small geographic which this study undertaken (<500 m). Moreover, room occupant behavior had detectable These results show level, dominate patterning More broadly, they provide additional support for growing evidence limitation, even scales, key process structuring often-observed distance–decay biogeographic microbial communities.

Language: Английский

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Balance between community assembly processes mediates species coexistence in agricultural soil microbiomes across eastern China

The ISME Journal, Journal Year: 2019, Volume and Issue: 14(1), P. 202 - 216

Published: Oct. 14, 2019

Language: Английский

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