The DOI matches its Crossref record; 275 of the 275 references it cites were found in a registry or an index.
Stochastic Community Assembly: Does It Matter in Microbial Ecology?
Open accessAbstract
SUMMARY: Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly in microbial ecology. Although stochastic processes are believed to play nonnegligible roles in shaping community structure, their importance relative to deterministic processes is hotly debated. The importance of ecological stochasticity in shaping microbial community structure is far less appreciated. Some of the main reasons for such heavy debates are the difficulty in defining stochasticity and the diverse methods used for delineating stochasticity. Here, we provide a critical review and synthesis of data from the most recent studies on stochastic community assembly in microbial ecology. We then describe both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift. We also describe different approaches for inferring stochasticity from observational diversity patterns and highlight experimental approaches for delineating ecological stochasticity in microbial communities. In addition, we highlight research challenges, gaps, and future directions for microbial community assembly research.
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Cites
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Metadata
- Authors
- Zhou, J., & Ning, D.
- Venue
- Microbiology and Molecular Biology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2017-12
- Volume
- 81
- Issue
- 4
- ISSN
- 1092-2172 (ISSN-L)
- 1098-5557
- OpenAlex
- W2761955173
- Cited by
- 2,773
- References
- 275
- FWCI
- 7.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
