| Colloquium paper: resistance, resilience, and redundancy in microbial communities. | |
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MedLine Citation:
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PMID: 18695234 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Although it is generally accepted that plant community composition is key for predicting rates of ecosystem processes in the face of global change, microbial community composition is often ignored in ecosystem modeling. To address this issue, we review recent experiments and assess whether microbial community composition is resistant, resilient, or functionally redundant in response to four different disturbances. We find that the composition of most microbial groups is sensitive and not immediately resilient to disturbance, regardless of taxonomic breadth of the group or the type of disturbance. Other studies demonstrate that changes in composition are often associated with changes in ecosystem process rates. Thus, changes in microbial communities due to disturbance may directly affect ecosystem processes. Based on these relationships, we propose a simple framework to incorporate microbial community composition into ecosystem process models. We conclude that this effort would benefit from more empirical data on the links among microbial phylogeny, physiological traits, and disturbance responses. These relationships will determine how readily microbial community composition can be used to predict the responses of ecosystem processes to global change. |
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Authors:
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Steven D Allison; Jennifer B H Martiny |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Date: 2008-08-11 |
Journal Detail:
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Title: Proceedings of the National Academy of Sciences of the United States of America Volume: 105 Suppl 1 ISSN: 1091-6490 ISO Abbreviation: Proc. Natl. Acad. Sci. U.S.A. Publication Date: 2008 Aug |
Date Detail:
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Created Date: 2008-08-15 Completed Date: 2008-09-05 Revised Date: 2010-09-22 |
Medline Journal Info:
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Nlm Unique ID: 7505876 Medline TA: Proc Natl Acad Sci U S A Country: United States |
Other Details:
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Languages: eng Pagination: 11512-9 Citation Subset: IM |
Affiliation:
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Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Ecosystem* Microbiology* Models, Theoretical Phylogeny Species Specificity |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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