A generalized spatial measure for resilience of microbial systems
The emergent property of resilience is the ability of a system to recover an original function after a disturbance. Resilience may be used as an early warning system for significant or irreversible community transition, i.e., a community with diminishing or low resilience may be close to catastrophi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-04-01
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| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fmicb.2016.00443/full |
| _version_ | 1811217888448610304 |
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| author | Ryan S. Renslow Stephen R. Lindemann Hyun-Seob eSong |
| author_facet | Ryan S. Renslow Stephen R. Lindemann Hyun-Seob eSong |
| author_sort | Ryan S. Renslow |
| collection | DOAJ |
| description | The emergent property of resilience is the ability of a system to recover an original function after a disturbance. Resilience may be used as an early warning system for significant or irreversible community transition, i.e., a community with diminishing or low resilience may be close to catastrophic shift in function or an irreversible collapse. Typically, resilience is quantified using recovery time, which may be difficult or impossible to directly measure in microbial systems. A recent study in the literature showed that under certain conditions, a set of spatial-based metrics termed recovery length, can be correlated to recovery time, and thus may be a reasonable alternative measure of resilience. As a limitation, however, this spatial metric of resilience is useful only for step-change perturbations. Building upon the concept of recovery length, we propose a more general form of the spatial metric of resilience that can be applied to any shape of perturbation profiles (i.e., a sharp or smooth gradient). We termed this new spatial measure perturbation-adjusted spatial metric of resilience (PASMORE). We demonstrate the applicability of the proposed metric using a mathematical model of a microbial mat. |
| first_indexed | 2024-04-12T07:02:34Z |
| format | Article |
| id | doaj.art-51cb879eaf4549a5b53ba88c34edb6a1 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-12T07:02:34Z |
| publishDate | 2016-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-51cb879eaf4549a5b53ba88c34edb6a12022-12-22T03:42:59ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2016-04-01710.3389/fmicb.2016.00443167216A generalized spatial measure for resilience of microbial systemsRyan S. Renslow0Stephen R. Lindemann1Hyun-Seob eSong2Pacific Northwest National LaboratoryPacific Northwest National LaboratoryPacific Northwest National LaboratoryThe emergent property of resilience is the ability of a system to recover an original function after a disturbance. Resilience may be used as an early warning system for significant or irreversible community transition, i.e., a community with diminishing or low resilience may be close to catastrophic shift in function or an irreversible collapse. Typically, resilience is quantified using recovery time, which may be difficult or impossible to directly measure in microbial systems. A recent study in the literature showed that under certain conditions, a set of spatial-based metrics termed recovery length, can be correlated to recovery time, and thus may be a reasonable alternative measure of resilience. As a limitation, however, this spatial metric of resilience is useful only for step-change perturbations. Building upon the concept of recovery length, we propose a more general form of the spatial metric of resilience that can be applied to any shape of perturbation profiles (i.e., a sharp or smooth gradient). We termed this new spatial measure perturbation-adjusted spatial metric of resilience (PASMORE). We demonstrate the applicability of the proposed metric using a mathematical model of a microbial mat.http://journal.frontiersin.org/Journal/10.3389/fmicb.2016.00443/fullEcologyRecoverymicrobial communitiesresilienceemergent properties |
| spellingShingle | Ryan S. Renslow Stephen R. Lindemann Hyun-Seob eSong A generalized spatial measure for resilience of microbial systems Frontiers in Microbiology Ecology Recovery microbial communities resilience emergent properties |
| title | A generalized spatial measure for resilience of microbial systems |
| title_full | A generalized spatial measure for resilience of microbial systems |
| title_fullStr | A generalized spatial measure for resilience of microbial systems |
| title_full_unstemmed | A generalized spatial measure for resilience of microbial systems |
| title_short | A generalized spatial measure for resilience of microbial systems |
| title_sort | generalized spatial measure for resilience of microbial systems |
| topic | Ecology Recovery microbial communities resilience emergent properties |
| url | http://journal.frontiersin.org/Journal/10.3389/fmicb.2016.00443/full |
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