Soil incubation methods lead to large differences in inferred methane production temperature sensitivity
Abstract Quantifying the temperature sensitivity of methane (CH 4 ) production is crucial for predicting how wetland ecosystems will respond to climate warming. Typically, the temperature sensitivity (often quantified as a Q 10 value) is derived from laboratory incubation studies and then used in bi...
Published in: | Environmental Research Letters |
---|---|
Main Authors: | , , , , , , , , , , , , , , |
Other Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
IOP Publishing
2024
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1088/1748-9326/ad3565 https://iopscience.iop.org/article/10.1088/1748-9326/ad3565 https://iopscience.iop.org/article/10.1088/1748-9326/ad3565/pdf |
id |
crioppubl:10.1088/1748-9326/ad3565 |
---|---|
record_format |
openpolar |
spelling |
crioppubl:10.1088/1748-9326/ad3565 2024-06-02T08:13:08+00:00 Soil incubation methods lead to large differences in inferred methane production temperature sensitivity Li, Zhen Grant, Robert F Chang, Kuang-Yu Hodgkins, Suzanne B Tang, Jinyun Cory, Alexandra Mekonnen, Zelalem A Saleska, Scott R Brodie, Eoin L Varner, Ruth K Rich, Virginia I Wilson, Rachel M Chanton, Jeff P Crill, Patrick Riley, William J National Science Foundation, Biology Integration Institutes Program Lawrence Berkeley National Laboratory Biological and Environmental Research 2024 http://dx.doi.org/10.1088/1748-9326/ad3565 https://iopscience.iop.org/article/10.1088/1748-9326/ad3565 https://iopscience.iop.org/article/10.1088/1748-9326/ad3565/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 19, issue 4, page 044069 ISSN 1748-9326 journal-article 2024 crioppubl https://doi.org/10.1088/1748-9326/ad3565 2024-05-07T14:06:52Z Abstract Quantifying the temperature sensitivity of methane (CH 4 ) production is crucial for predicting how wetland ecosystems will respond to climate warming. Typically, the temperature sensitivity (often quantified as a Q 10 value) is derived from laboratory incubation studies and then used in biogeochemical models. However, studies report wide variation in incubation-inferred Q 10 values, with a large portion of this variation remaining unexplained. Here we applied observations in a thawing permafrost peatland (Stordalen Mire) and a well-tested process-rich model ( ecosys ) to interpret incubation observations and investigate controls on inferred CH 4 production temperature sensitivity. We developed a field-storage-incubation modeling approach to mimic the full incubation sequence, including field sampling at a particular time in the growing season, refrigerated storage, and laboratory incubation, followed by model evaluation. We found that CH 4 production rates during incubation are regulated by substrate availability and active microbial biomass of key microbial functional groups, which are affected by soil storage duration and temperature. Seasonal variation in substrate availability and active microbial biomass of key microbial functional groups led to strong time-of-sampling impacts on CH 4 production. CH 4 production is higher with less perturbation post-sampling, i.e. shorter storage duration and lower storage temperature. We found a wide range of inferred Q 10 values (1.2–3.5), which we attribute to incubation temperatures, incubation duration, storage duration, and sampling time. We also show that Q 10 values of CH 4 production are controlled by interacting biological, biochemical, and physical processes, which cause the inferred Q 10 values to differ substantially from those of the component processes. Terrestrial ecosystem models that use a constant Q 10 value to represent temperature responses may therefore predict biased soil carbon cycling under future climate scenarios. Article in Journal/Newspaper permafrost IOP Publishing Stordalen ENVELOPE(7.337,7.337,62.510,62.510) Environmental Research Letters 19 4 044069 |
institution |
Open Polar |
collection |
IOP Publishing |
op_collection_id |
crioppubl |
language |
unknown |
description |
Abstract Quantifying the temperature sensitivity of methane (CH 4 ) production is crucial for predicting how wetland ecosystems will respond to climate warming. Typically, the temperature sensitivity (often quantified as a Q 10 value) is derived from laboratory incubation studies and then used in biogeochemical models. However, studies report wide variation in incubation-inferred Q 10 values, with a large portion of this variation remaining unexplained. Here we applied observations in a thawing permafrost peatland (Stordalen Mire) and a well-tested process-rich model ( ecosys ) to interpret incubation observations and investigate controls on inferred CH 4 production temperature sensitivity. We developed a field-storage-incubation modeling approach to mimic the full incubation sequence, including field sampling at a particular time in the growing season, refrigerated storage, and laboratory incubation, followed by model evaluation. We found that CH 4 production rates during incubation are regulated by substrate availability and active microbial biomass of key microbial functional groups, which are affected by soil storage duration and temperature. Seasonal variation in substrate availability and active microbial biomass of key microbial functional groups led to strong time-of-sampling impacts on CH 4 production. CH 4 production is higher with less perturbation post-sampling, i.e. shorter storage duration and lower storage temperature. We found a wide range of inferred Q 10 values (1.2–3.5), which we attribute to incubation temperatures, incubation duration, storage duration, and sampling time. We also show that Q 10 values of CH 4 production are controlled by interacting biological, biochemical, and physical processes, which cause the inferred Q 10 values to differ substantially from those of the component processes. Terrestrial ecosystem models that use a constant Q 10 value to represent temperature responses may therefore predict biased soil carbon cycling under future climate scenarios. |
author2 |
National Science Foundation, Biology Integration Institutes Program Lawrence Berkeley National Laboratory Biological and Environmental Research |
format |
Article in Journal/Newspaper |
author |
Li, Zhen Grant, Robert F Chang, Kuang-Yu Hodgkins, Suzanne B Tang, Jinyun Cory, Alexandra Mekonnen, Zelalem A Saleska, Scott R Brodie, Eoin L Varner, Ruth K Rich, Virginia I Wilson, Rachel M Chanton, Jeff P Crill, Patrick Riley, William J |
spellingShingle |
Li, Zhen Grant, Robert F Chang, Kuang-Yu Hodgkins, Suzanne B Tang, Jinyun Cory, Alexandra Mekonnen, Zelalem A Saleska, Scott R Brodie, Eoin L Varner, Ruth K Rich, Virginia I Wilson, Rachel M Chanton, Jeff P Crill, Patrick Riley, William J Soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
author_facet |
Li, Zhen Grant, Robert F Chang, Kuang-Yu Hodgkins, Suzanne B Tang, Jinyun Cory, Alexandra Mekonnen, Zelalem A Saleska, Scott R Brodie, Eoin L Varner, Ruth K Rich, Virginia I Wilson, Rachel M Chanton, Jeff P Crill, Patrick Riley, William J |
author_sort |
Li, Zhen |
title |
Soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
title_short |
Soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
title_full |
Soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
title_fullStr |
Soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
title_full_unstemmed |
Soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
title_sort |
soil incubation methods lead to large differences in inferred methane production temperature sensitivity |
publisher |
IOP Publishing |
publishDate |
2024 |
url |
http://dx.doi.org/10.1088/1748-9326/ad3565 https://iopscience.iop.org/article/10.1088/1748-9326/ad3565 https://iopscience.iop.org/article/10.1088/1748-9326/ad3565/pdf |
long_lat |
ENVELOPE(7.337,7.337,62.510,62.510) |
geographic |
Stordalen |
geographic_facet |
Stordalen |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Environmental Research Letters volume 19, issue 4, page 044069 ISSN 1748-9326 |
op_rights |
http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1748-9326/ad3565 |
container_title |
Environmental Research Letters |
container_volume |
19 |
container_issue |
4 |
container_start_page |
044069 |
_version_ |
1800759787711889408 |