Disturbance triggers non-linear microbe–environment feedbacks

Sengupta, Aditi; Fansler, Sarah J.; Chu, Rosalie K.; Danczak, Robert E.; Garayburu-Caruso, Vanessa A.; Renteria, Lupita; Song, Hyun-Seob; Toyoda, Jason; Hager, Jacqueline; Stegen, James C.

doi:https://doi.org/10.5194/bg-18-4773-2021

Articles | Volume 18, issue 16

https://doi.org/10.5194/bg-18-4773-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-18-4773-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 16

Research article

|

24 Aug 2021

Research article |

| 24 Aug 2021

Disturbance triggers non-linear microbe–environment feedbacks

Aditi Sengupta, Sarah J. Fansler, Rosalie K. Chu, Robert E. Danczak, Vanessa A. Garayburu-Caruso, Lupita Renteria, Hyun-Seob Song, Jason Toyoda, Jacqueline Hager, and James C. Stegen

Supplement

https://doi.org/10.5194/bg-18-4773-2021-supplement

Data sets

Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences” Sengupta A ; Fansler S J ; Toyoda J G ; Chu R ; Garayburu-Caruso V A ; Renteria L ; Hager J R ; Danczak R E ; Goldman A E ; Stegen J C https://doi.org/10.15485/1807580

Model code and software

Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences” Sengupta A ; Fansler S J ; Toyoda J G ; Chu R ; Garayburu-Caruso V A ; Renteria L ; Hager J R ; Danczak R E ; Goldman A E ; Stegen J C https://doi.org/10.15485/1807580

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Short summary

Conceptual models link microbes with the environment but are untested. We test a recent model using riverbed sediments. We exposed sediments to disturbances, going dry and becoming wet again. As the length of dry conditions got longer, there was a sudden shift in the ecology of microbes, chemistry of organic matter, and rates of microbial metabolism. We propose a new model based on feedbacks initiated by disturbance that cascade across biological, chemical, and functional aspects of the system.