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description Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Wiley Patrick W. Inglett; Debjani Sihi; Debjani Sihi; Stefan Gerber; Kanika S. Inglett;doi: 10.1111/gcb.13839
pmid: 28746792
AbstractTemperature sensitivity of anaerobic carbon mineralization in wetlands remains poorly represented in most climate models and is especially unconstrained for warmer subtropical and tropical systems which account for a large proportion of global methane emissions. Several studies of experimental warming have documented thermal acclimation of soil respiration involving adjustments in microbial physiology or carbon use efficiency (CUE), with an initial decline in CUE with warming followed by a partial recovery in CUE at a later stage. The variable CUE implies that the rate of warming may impact microbial acclimation and the rate of carbon‐dioxide (CO2) and methane (CH4) production. Here, we assessed the effects of warming rate on the decomposition of subtropical peats, by applying either a large single‐step (10°C within a day) or a slow ramping (0.1°C/day for 100 days) temperature increase. The extent of thermal acclimation was tested by monitoring CO2 and CH4 production, CUE, and microbial biomass. Total gaseous C loss, CUE, and MBC were greater in the slow (ramp) warming treatment. However, greater values of CH4–C:CO2–C ratios lead to a greater global warming potential in the fast (step) warming treatment. The effect of gradual warming on decomposition was more pronounced in recalcitrant and nutrient‐limited soils. Stable carbon isotopes of CH4 and CO2 further indicated the possibility of different carbon processing pathways under the contrasting warming rates. Different responses in fast vs. slow warming treatment combined with different endpoints may indicate alternate pathways with long‐term consequences. Incorporations of experimental results into organic matter decomposition models suggest that parameter uncertainties in CUE and CH4–C:CO2–C ratios have a larger impact on long‐term soil organic carbon and global warming potential than uncertainty in model structure, and shows that particular rates of warming are central to understand the response of wetland soils to global climate change.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 40 citations 40 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.13839&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Embargo end date: 01 Jan 2020 Chile, Spain, Switzerland, United States, United States, Chile, Ireland, United States, Germany, Spain, BelgiumPublisher:Wiley Publicly fundedFunded by:NSF | Collaborative Research: T..., ARC | Discovery Projects - Gran..., University College Dublin +8 projectsNSF| Collaborative Research: The Role of Iron Redox Dynamics in Carbon Losses from Tropical Forest Soils ,ARC| Discovery Projects - Grant ID: DP170102766 ,University College Dublin ,SNSF| Functional diversity and cell-cell communication in biocontrol fluorescent Pseudomonas spp. associated with natural disease- suppressiveness of soils ,SNSF| Towards the rational design of molecular glue degraders ,SNSF| ICOS-CH Phase 2 ,NSF| Collaborative Research: Tree Species Effects on Ecosystem Processes in Lowland Costa Rica ,ARC| Discovery Projects - Grant ID: DP160102452 ,NSF| Collaborative Research: Effects of Species on Forest Carbon Balances in Lowland Costa Rica ,NSF| Collaborative Research: ABI Development: The PEcAn Project: A Community Platform for Ecological Forecasting ,ARC| Woodland response to elevated CO2 in free air carbon dioxide enrichment: does phosphorus limit the sink for Carbon?Mirco Migliavacca; Christoph S. Vogel; Thomas Wutzler; Russell L. Scott; Mioko Ataka; Jason P. Kaye; Järvi Järveoja; Kadmiel Maseyk; Ben Bond-Lamberty; K. C. Mathes; Joseph Verfaillie; Catriona A. Macdonald; Kentaro Takagi; Jennifer Goedhart Nietz; Eric A. Davidson; Susan E. Trumbore; Melanie A. Mayes; Elise Pendall; Carolyn Monika Görres; Christine S. O’Connell; Christine S. O’Connell; Masahito Ueyama; Cecilio Oyonarte; Mats Nilsson; Christopher M. Gough; Jorge F. Perez-Quezada; Mariah S. Carbone; Ruth K. Varner; Omar Gutiérrez del Arroyo; Junliang Zou; Alexandre A. Renchon; Nina Buchmann; Shih-Chieh Chang; Anya M. Hopple; Anya M. Hopple; Munemasa Teramoto; Stephanie C. Pennington; Jin-Sheng He; Yuji Kominami; Jillian W. Gregg; Enrique P. Sánchez-Cañete; James W. Raich; Greg Winston; Juying Wu; Ulli Seibt; Marguerite Mauritz; Zhuo Pang; Hamidreza Norouzi; Peter S. Curtis; Ankur R. Desai; Rodrigo Vargas; Bruce Osborne; Jinsong Wang; Scott T. Miller; Avni Malhotra; Asko Noormets; Whendee L. Silver; Mark G. Tjoelker; Tana E. Wood; T. A. Black; Michael Gavazzi; Haiming Kan; Matthias Peichl; Tarek S. El-Madany; Nadine K. Ruehr; Steve McNulty; H. Hughes; Jiye Zeng; Daphne Szutu; Richard P. Phillips; Claire L. Phillips; Wu Sun; Rachhpal S. Jassal; Patrick M. Crill; Amir AghaKouchak; Quan Zhang; Matthew Saunders; D. S. Christianson; Masahiro Takagi; Kathleen Savage; Jinshi Jian; Chelcy Ford Miniat; John E. Drake; Guofang Miao; Samaneh Ashraf; Naishen Liang; Tianshan Zha; Michael L. Goulden; Marion Schrumpf; Takashi Hirano; Debjani Sihi; Juan J. Armesto; David A. Lipson; M. Altaf Arain; Dennis D. Baldocchi; Hassan Anjileli;doi: 10.1111/gcb.15353 , 10.60692/ejg8a-yd340 , 10.5445/ir/1000125998 , 10.3929/ethz-b-000446726 , 10.60692/wvgem-qyh85
pmid: 33026137
pmc: PMC7756728
doi: 10.1111/gcb.15353 , 10.60692/ejg8a-yd340 , 10.5445/ir/1000125998 , 10.3929/ethz-b-000446726 , 10.60692/wvgem-qyh85
pmid: 33026137
pmc: PMC7756728
AbstractGlobally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil‐to‐atmosphere CO2 flux, commonly though imprecisely termed soil respiration (RS), is one of the largest carbon fluxes in the Earth system. An increasing number of high‐frequency RS measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open‐source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long‐term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measured RS, the database design accommodates other soil‐atmosphere measurements (e.g. ecosystem respiration, chamber‐measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package.
CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://oro.open.ac.uk/73137/1/73137.pdfData sources: CORE (RIOXX-UK Aggregator)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/2qm6h6tpData sources: Bielefeld Academic Search Engine (BASE)University College Dublin: Research Repository UCDArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10197/12610Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universidad de Chile: Repositorio académicoArticle . 2020License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpeneScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTAArticle . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Data sources: Recolector de Ciencia Abierta, RECOLECTAriUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Pontificia Universidad Católica de Chile: Repositorio UCArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.15353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 55 citations 55 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://oro.open.ac.uk/73137/1/73137.pdfData sources: CORE (RIOXX-UK Aggregator)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/2qm6h6tpData sources: Bielefeld Academic Search Engine (BASE)University College Dublin: Research Repository UCDArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10197/12610Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universidad de Chile: Repositorio académicoArticle . 2020License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpeneScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTAArticle . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Data sources: Recolector de Ciencia Abierta, RECOLECTAriUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Pontificia Universidad Católica de Chile: Repositorio UCArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.15353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 United StatesPublisher:Elsevier BV Funded by:NSF | LTER V: New Science, Synt...NSF| LTER V: New Science, Synthesis, Scholarship, and Strategic Vision for SocietyDebjani Sihi; Debjani Sihi; David Y. Hollinger; Min Chen; Kathleen Savage; Andrew D. Richardson; Andrew D. Richardson; Trevor F. Keenan; Eric A. Davidson;Abstract Heterotrophic respiration (Rh), microbial processing of soil organic matter to carbon dioxide (CO 2 ), is a major, yet highly uncertain, carbon (C) flux from terrestrial systems to the atmosphere. Temperature sensitivity of Rh is often represented with a simple Q 10 function in ecosystem models and earth system models (ESMs), sometimes accompanied by an empirical soil moisture modifier. More explicit representation of the effects of soil moisture, substrate supply, and their interactions with temperature has been proposed as a way to disentangle the confounding factors of apparent temperature sensitivity of Rh and improve the performance of ecosystem models and ESMs. The objective of this work was to insert into an ecosystem model a more mechanistic, but still parsimonious, model of environmental factors controlling Rh and evaluate the model performance in terms of soil and ecosystem respiration. The Dual Arrhenius and Michaelis-Menten (DAMM) model simulates Rh using Michaelis-Menten, Arrhenius, and diffusion functions. Soil moisture affects Rh and its apparent temperature sensitivity in DAMM by regulating the diffusion of oxygen, soluble C substrates, and extracellular enzymes to the enzymatic reaction site. Here, we merged the DAMM soil flux model with a parsimonious ecosystem flux model, FoBAAR (Forest Biomass, Assimilation, Allocation and Respiration). We used high-frequency soil flux data from automated soil chambers and landscape-scale ecosystem fluxes from eddy covariance towers at two AmeriFlux sites (Harvard Forest, MA and Howland Forest, ME) in the northeastern USA to estimate parameters, validate the merged model, and to quantify the uncertainties in a multiple constraints approach. The optimized DAMM-FoBAAR model better captured the seasonal and inter-annual dynamics of soil respiration (Soil R) compared to the FoBAAR-only model for the Harvard Forest, where higher frequency and duration of drying events significantly regulate substrate supply to heterotrophs. However, DAMM-FoBAAR showed improvement over FoBAAR-only at the boreal transition Howland Forest only in unusually dry years. The frequency of synoptic-scale dry periods is lower at Howland, resulting in only brief water limitation of Rh in some years. At both sites, the declining trend of soil R during drying events was captured by the DAMM-FoBAAR model; however, model performance was also contingent on site conditions, climate, and the temporal scale of interest. While the DAMM functions require a few more parameters than a simple Q 10 function, we have demonstrated that they can be included in an ecosystem model and reduce the model-data mismatch. Moreover, the mechanistic structure of the soil moisture effects using DAMM functions should be more generalizable than the wide variety of empirical functions that are commonly used, and these DAMM functions could be readily incorporated into other ecosystem models and ESMs.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2018Full-Text: https://escholarship.org/uc/item/5bm2b861Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaAgricultural and Forest MeteorologyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.01.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 43 citations 43 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2018Full-Text: https://escholarship.org/uc/item/5bm2b861Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaAgricultural and Forest MeteorologyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.01.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Wiley Patrick W. Inglett; Debjani Sihi; Debjani Sihi; Stefan Gerber; Kanika S. Inglett;doi: 10.1111/gcb.13839
pmid: 28746792
AbstractTemperature sensitivity of anaerobic carbon mineralization in wetlands remains poorly represented in most climate models and is especially unconstrained for warmer subtropical and tropical systems which account for a large proportion of global methane emissions. Several studies of experimental warming have documented thermal acclimation of soil respiration involving adjustments in microbial physiology or carbon use efficiency (CUE), with an initial decline in CUE with warming followed by a partial recovery in CUE at a later stage. The variable CUE implies that the rate of warming may impact microbial acclimation and the rate of carbon‐dioxide (CO2) and methane (CH4) production. Here, we assessed the effects of warming rate on the decomposition of subtropical peats, by applying either a large single‐step (10°C within a day) or a slow ramping (0.1°C/day for 100 days) temperature increase. The extent of thermal acclimation was tested by monitoring CO2 and CH4 production, CUE, and microbial biomass. Total gaseous C loss, CUE, and MBC were greater in the slow (ramp) warming treatment. However, greater values of CH4–C:CO2–C ratios lead to a greater global warming potential in the fast (step) warming treatment. The effect of gradual warming on decomposition was more pronounced in recalcitrant and nutrient‐limited soils. Stable carbon isotopes of CH4 and CO2 further indicated the possibility of different carbon processing pathways under the contrasting warming rates. Different responses in fast vs. slow warming treatment combined with different endpoints may indicate alternate pathways with long‐term consequences. Incorporations of experimental results into organic matter decomposition models suggest that parameter uncertainties in CUE and CH4–C:CO2–C ratios have a larger impact on long‐term soil organic carbon and global warming potential than uncertainty in model structure, and shows that particular rates of warming are central to understand the response of wetland soils to global climate change.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.13839&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 40 citations 40 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.13839&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Embargo end date: 01 Jan 2020 Chile, Spain, Switzerland, United States, United States, Chile, Ireland, United States, Germany, Spain, BelgiumPublisher:Wiley Publicly fundedFunded by:NSF | Collaborative Research: T..., ARC | Discovery Projects - Gran..., University College Dublin +8 projectsNSF| Collaborative Research: The Role of Iron Redox Dynamics in Carbon Losses from Tropical Forest Soils ,ARC| Discovery Projects - Grant ID: DP170102766 ,University College Dublin ,SNSF| Functional diversity and cell-cell communication in biocontrol fluorescent Pseudomonas spp. associated with natural disease- suppressiveness of soils ,SNSF| Towards the rational design of molecular glue degraders ,SNSF| ICOS-CH Phase 2 ,NSF| Collaborative Research: Tree Species Effects on Ecosystem Processes in Lowland Costa Rica ,ARC| Discovery Projects - Grant ID: DP160102452 ,NSF| Collaborative Research: Effects of Species on Forest Carbon Balances in Lowland Costa Rica ,NSF| Collaborative Research: ABI Development: The PEcAn Project: A Community Platform for Ecological Forecasting ,ARC| Woodland response to elevated CO2 in free air carbon dioxide enrichment: does phosphorus limit the sink for Carbon?Mirco Migliavacca; Christoph S. Vogel; Thomas Wutzler; Russell L. Scott; Mioko Ataka; Jason P. Kaye; Järvi Järveoja; Kadmiel Maseyk; Ben Bond-Lamberty; K. C. Mathes; Joseph Verfaillie; Catriona A. Macdonald; Kentaro Takagi; Jennifer Goedhart Nietz; Eric A. Davidson; Susan E. Trumbore; Melanie A. Mayes; Elise Pendall; Carolyn Monika Görres; Christine S. O’Connell; Christine S. O’Connell; Masahito Ueyama; Cecilio Oyonarte; Mats Nilsson; Christopher M. Gough; Jorge F. Perez-Quezada; Mariah S. Carbone; Ruth K. Varner; Omar Gutiérrez del Arroyo; Junliang Zou; Alexandre A. Renchon; Nina Buchmann; Shih-Chieh Chang; Anya M. Hopple; Anya M. Hopple; Munemasa Teramoto; Stephanie C. Pennington; Jin-Sheng He; Yuji Kominami; Jillian W. Gregg; Enrique P. Sánchez-Cañete; James W. Raich; Greg Winston; Juying Wu; Ulli Seibt; Marguerite Mauritz; Zhuo Pang; Hamidreza Norouzi; Peter S. Curtis; Ankur R. Desai; Rodrigo Vargas; Bruce Osborne; Jinsong Wang; Scott T. Miller; Avni Malhotra; Asko Noormets; Whendee L. Silver; Mark G. Tjoelker; Tana E. Wood; T. A. Black; Michael Gavazzi; Haiming Kan; Matthias Peichl; Tarek S. El-Madany; Nadine K. Ruehr; Steve McNulty; H. Hughes; Jiye Zeng; Daphne Szutu; Richard P. Phillips; Claire L. Phillips; Wu Sun; Rachhpal S. Jassal; Patrick M. Crill; Amir AghaKouchak; Quan Zhang; Matthew Saunders; D. S. Christianson; Masahiro Takagi; Kathleen Savage; Jinshi Jian; Chelcy Ford Miniat; John E. Drake; Guofang Miao; Samaneh Ashraf; Naishen Liang; Tianshan Zha; Michael L. Goulden; Marion Schrumpf; Takashi Hirano; Debjani Sihi; Juan J. Armesto; David A. Lipson; M. Altaf Arain; Dennis D. Baldocchi; Hassan Anjileli;doi: 10.1111/gcb.15353 , 10.60692/ejg8a-yd340 , 10.5445/ir/1000125998 , 10.3929/ethz-b-000446726 , 10.60692/wvgem-qyh85
pmid: 33026137
pmc: PMC7756728
doi: 10.1111/gcb.15353 , 10.60692/ejg8a-yd340 , 10.5445/ir/1000125998 , 10.3929/ethz-b-000446726 , 10.60692/wvgem-qyh85
pmid: 33026137
pmc: PMC7756728
AbstractGlobally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil‐to‐atmosphere CO2 flux, commonly though imprecisely termed soil respiration (RS), is one of the largest carbon fluxes in the Earth system. An increasing number of high‐frequency RS measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open‐source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long‐term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measured RS, the database design accommodates other soil‐atmosphere measurements (e.g. ecosystem respiration, chamber‐measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package.
CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://oro.open.ac.uk/73137/1/73137.pdfData sources: CORE (RIOXX-UK Aggregator)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/2qm6h6tpData sources: Bielefeld Academic Search Engine (BASE)University College Dublin: Research Repository UCDArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10197/12610Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universidad de Chile: Repositorio académicoArticle . 2020License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpeneScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTAArticle . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Data sources: Recolector de Ciencia Abierta, RECOLECTAriUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Pontificia Universidad Católica de Chile: Repositorio UCArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.15353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 55 citations 55 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2020Full-Text: http://oro.open.ac.uk/73137/1/73137.pdfData sources: CORE (RIOXX-UK Aggregator)University of California: eScholarshipArticle . 2020License: CC BYFull-Text: https://escholarship.org/uc/item/2qm6h6tpData sources: Bielefeld Academic Search Engine (BASE)University College Dublin: Research Repository UCDArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10197/12610Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universidad de Chile: Repositorio académicoArticle . 2020License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institutional Repository Universiteit AntwerpenArticle . 2020Data sources: Institutional Repository Universiteit AntwerpeneScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaRecolector de Ciencia Abierta, RECOLECTAArticle . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Data sources: Recolector de Ciencia Abierta, RECOLECTAriUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2024License: CC BY NC NDFull-Text: https://doi.org/10.1111/gcb.15353Pontificia Universidad Católica de Chile: Repositorio UCArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 United StatesPublisher:Elsevier BV Funded by:NSF | LTER V: New Science, Synt...NSF| LTER V: New Science, Synthesis, Scholarship, and Strategic Vision for SocietyDebjani Sihi; Debjani Sihi; David Y. Hollinger; Min Chen; Kathleen Savage; Andrew D. Richardson; Andrew D. Richardson; Trevor F. Keenan; Eric A. Davidson;Abstract Heterotrophic respiration (Rh), microbial processing of soil organic matter to carbon dioxide (CO 2 ), is a major, yet highly uncertain, carbon (C) flux from terrestrial systems to the atmosphere. Temperature sensitivity of Rh is often represented with a simple Q 10 function in ecosystem models and earth system models (ESMs), sometimes accompanied by an empirical soil moisture modifier. More explicit representation of the effects of soil moisture, substrate supply, and their interactions with temperature has been proposed as a way to disentangle the confounding factors of apparent temperature sensitivity of Rh and improve the performance of ecosystem models and ESMs. The objective of this work was to insert into an ecosystem model a more mechanistic, but still parsimonious, model of environmental factors controlling Rh and evaluate the model performance in terms of soil and ecosystem respiration. The Dual Arrhenius and Michaelis-Menten (DAMM) model simulates Rh using Michaelis-Menten, Arrhenius, and diffusion functions. Soil moisture affects Rh and its apparent temperature sensitivity in DAMM by regulating the diffusion of oxygen, soluble C substrates, and extracellular enzymes to the enzymatic reaction site. Here, we merged the DAMM soil flux model with a parsimonious ecosystem flux model, FoBAAR (Forest Biomass, Assimilation, Allocation and Respiration). We used high-frequency soil flux data from automated soil chambers and landscape-scale ecosystem fluxes from eddy covariance towers at two AmeriFlux sites (Harvard Forest, MA and Howland Forest, ME) in the northeastern USA to estimate parameters, validate the merged model, and to quantify the uncertainties in a multiple constraints approach. The optimized DAMM-FoBAAR model better captured the seasonal and inter-annual dynamics of soil respiration (Soil R) compared to the FoBAAR-only model for the Harvard Forest, where higher frequency and duration of drying events significantly regulate substrate supply to heterotrophs. However, DAMM-FoBAAR showed improvement over FoBAAR-only at the boreal transition Howland Forest only in unusually dry years. The frequency of synoptic-scale dry periods is lower at Howland, resulting in only brief water limitation of Rh in some years. At both sites, the declining trend of soil R during drying events was captured by the DAMM-FoBAAR model; however, model performance was also contingent on site conditions, climate, and the temporal scale of interest. While the DAMM functions require a few more parameters than a simple Q 10 function, we have demonstrated that they can be included in an ecosystem model and reduce the model-data mismatch. Moreover, the mechanistic structure of the soil moisture effects using DAMM functions should be more generalizable than the wide variety of empirical functions that are commonly used, and these DAMM functions could be readily incorporated into other ecosystem models and ESMs.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2018Full-Text: https://escholarship.org/uc/item/5bm2b861Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaAgricultural and Forest MeteorologyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.01.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 43 citations 43 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2018Full-Text: https://escholarship.org/uc/item/5bm2b861Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaAgricultural and Forest MeteorologyArticle . 2018 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.01.026&type=result"></script>'); --> </script>
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