Abstract
Globally, 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 7268-7283 |
| Number of pages | 16 |
| Journal | Global Change Biology |
| Volume | 26 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2020 |
All Science Journal Classification (ASJC) codes
- Global and Planetary Change
- Environmental Chemistry
- Ecology
- Environmental Science(all)
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COSORE : A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. / Bond-Lamberty, Ben; Christianson, Danielle S.; Malhotra, Avni; Pennington, Stephanie C.; Sihi, Debjani; AghaKouchak, Amir; Anjileli, Hassan; Altaf Arain, M.; Armesto, Juan J.; Ashraf, Samaneh; Ataka, Mioko; Baldocchi, Dennis; Andrew Black, Thomas; Buchmann, Nina; Carbone, Mariah S.; Chang, Shih Chieh; Crill, Patrick; Curtis, Peter S.; Davidson, Eric A.; Desai, Ankur R.; Drake, John E.; El-Madany, Tarek S.; Gavazzi, Michael; Görres, Carolyn Monika; Gough, Christopher M.; Goulden, Michael; Gregg, Jillian; Gutiérrez del Arroyo, Omar; He, Jin Sheng; Hirano, Takashi; Hopple, Anya; Hughes, Holly; Järveoja, Järvi; Jassal, Rachhpal; Jian, Jinshi; Kan, Haiming; Kaye, Jason; Kominami, Yuji; Liang, Naishen; Lipson, David; Macdonald, Catriona A.; Maseyk, Kadmiel; Mathes, Kayla; Mauritz, Marguerite; Mayes, Melanie A.; McNulty, Steve; Miao, Guofang; Migliavacca, Mirco; Miller, Scott; Miniat, Chelcy F.; Nietz, Jennifer G.; Nilsson, Mats B.; Noormets, Asko; Norouzi, Hamidreza; O’Connell, Christine S.; Osborne, Bruce; Oyonarte, Cecilio; Pang, Zhuo; Peichl, Matthias; Pendall, Elise; Perez-Quezada, Jorge F.; Phillips, Claire L.; Phillips, Richard P.; Raich, James W.; Renchon, Alexandre A.; Ruehr, Nadine K.; Sánchez-Cañete, Enrique P.; Saunders, Matthew; Savage, Kathleen E.; Schrumpf, Marion; Scott, Russell L.; Seibt, Ulli; Silver, Whendee L.; Sun, Wu; Szutu, Daphne; Takagi, Kentaro; Takagi, Masahiro; Teramoto, Munemasa; Tjoelker, Mark G.; Trumbore, Susan; Ueyama, Masahito; Vargas, Rodrigo; Varner, Ruth K.; Verfaillie, Joseph; Vogel, Christoph; Wang, Jinsong; Winston, Greg; Wood, Tana E.; Wu, Juying; Wutzler, Thomas; Zeng, Jiye; Zha, Tianshan; Zhang, Quan; Zou, Junliang.
In: Global Change Biology, Vol. 26, No. 12, 12.2020, p. 7268-7283.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - COSORE
T2 - A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data
AU - Bond-Lamberty, Ben
AU - Christianson, Danielle S.
AU - Malhotra, Avni
AU - Pennington, Stephanie C.
AU - Sihi, Debjani
AU - AghaKouchak, Amir
AU - Anjileli, Hassan
AU - Altaf Arain, M.
AU - Armesto, Juan J.
AU - Ashraf, Samaneh
AU - Ataka, Mioko
AU - Baldocchi, Dennis
AU - Andrew Black, Thomas
AU - Buchmann, Nina
AU - Carbone, Mariah S.
AU - Chang, Shih Chieh
AU - Crill, Patrick
AU - Curtis, Peter S.
AU - Davidson, Eric A.
AU - Desai, Ankur R.
AU - Drake, John E.
AU - El-Madany, Tarek S.
AU - Gavazzi, Michael
AU - Görres, Carolyn Monika
AU - Gough, Christopher M.
AU - Goulden, Michael
AU - Gregg, Jillian
AU - Gutiérrez del Arroyo, Omar
AU - He, Jin Sheng
AU - Hirano, Takashi
AU - Hopple, Anya
AU - Hughes, Holly
AU - Järveoja, Järvi
AU - Jassal, Rachhpal
AU - Jian, Jinshi
AU - Kan, Haiming
AU - Kaye, Jason
AU - Kominami, Yuji
AU - Liang, Naishen
AU - Lipson, David
AU - Macdonald, Catriona A.
AU - Maseyk, Kadmiel
AU - Mathes, Kayla
AU - Mauritz, Marguerite
AU - Mayes, Melanie A.
AU - McNulty, Steve
AU - Miao, Guofang
AU - Migliavacca, Mirco
AU - Miller, Scott
AU - Miniat, Chelcy F.
AU - Nietz, Jennifer G.
AU - Nilsson, Mats B.
AU - Noormets, Asko
AU - Norouzi, Hamidreza
AU - O’Connell, Christine S.
AU - Osborne, Bruce
AU - Oyonarte, Cecilio
AU - Pang, Zhuo
AU - Peichl, Matthias
AU - Pendall, Elise
AU - Perez-Quezada, Jorge F.
AU - Phillips, Claire L.
AU - Phillips, Richard P.
AU - Raich, James W.
AU - Renchon, Alexandre A.
AU - Ruehr, Nadine K.
AU - Sánchez-Cañete, Enrique P.
AU - Saunders, Matthew
AU - Savage, Kathleen E.
AU - Schrumpf, Marion
AU - Scott, Russell L.
AU - Seibt, Ulli
AU - Silver, Whendee L.
AU - Sun, Wu
AU - Szutu, Daphne
AU - Takagi, Kentaro
AU - Takagi, Masahiro
AU - Teramoto, Munemasa
AU - Tjoelker, Mark G.
AU - Trumbore, Susan
AU - Ueyama, Masahito
AU - Vargas, Rodrigo
AU - Varner, Ruth K.
AU - Verfaillie, Joseph
AU - Vogel, Christoph
AU - Wang, Jinsong
AU - Winston, Greg
AU - Wood, Tana E.
AU - Wu, Juying
AU - Wutzler, Thomas
AU - Zeng, Jiye
AU - Zha, Tianshan
AU - Zhang, Quan
AU - Zou, Junliang
N1 - Funding Information: Notice: This manuscript has been authored by UT‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a non‐exclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe‐public‐access‐plan ). Funding Information: The authors declare no conflicts of interest. This research was supported by the US Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER) as part of the Terrestrial Ecosystem Sciences Program. D.S.C. was supported by the AmeriFlux Management Project funded by the DOE's Office of Science under Contract No. DE‐AC02‐05CH11231. S.C.P. was supported by ESS‐DIVE Community Funds Program, from the Data Management program within the Climate and Environmental Science Division of DOE BER. N.B. was supported by Swiss National Science Foundation project ICOS‐CH (20FI20_173691). J.Z. was supported by a joint Ph.D. program grant (201206300050) from the China Scholarship Council (CSC) and University College Dublin (UCD), Special Project on Hi‐Tech Innovation Capacity (KJCX20200301) and the Excellent Youth Scholars program from Beijing Academy of Agriculture and Forestry Sciences. B.O. was supported by the Higher Education Authority Programme for Research at Third Level Institutions Cycle 5 (PRTLI 5). E.A.D. was supported by DOE's Award DE‐SC0006741 and USDA grant 2014‐67003‐22073. W.L.S. was supported by grants from the US DOE (TES‐DE‐FOA‐0000749) and NSF (DEB‐1457805). D.S. and M.A.M. were supported by an Early Career Award through the DOE BER. J.W., Z.P. and H.K. were supported by a Special Project on Hi‐Tech Innovation Capacity grant (KJCX20200301) from the Beijing Academy of Agriculture and Forestry Sciences. S.‐C.C. was supported by the Ministry of Science and Technology, Taiwan. A.A.R., E.P., M.J.T., C.A.M. and J.E.D. were supported by Australian Research Council grants DP170102766, DP110105102 and DP160102452. C.L.P. and J.G. were supported by DOE #DE‐FG02‐05ER64048. C.L.P. is supported by the USDA Agricultural Research Service (project 2072‐12620‐001). The USDA is an equal opportunity provider and employer. J.W.R. was funded by NSF DEB‐0236502 and DEB‐0703561. M.P. was supported by the Swedish Infrastructure for Ecosystem Science. M.U. was supported by the Arctic Challenge for Sustainability II (JPMXD1420318865) project and JSPS KAKENHI Grant Numbers 23681004 and 26701002. J.J.A. and J.F.P.‐Q. were supported by the National Commission for Scientific and Technological Research (Chile) through grants FONDECYT 1171239, FONDEQUIP AIC‐37 and the Associative Research Program AFB170008. Q.Z. was supported by NSFC–NSF collaboration funding (P. R. China–U.S. 51861125102). A.R.D. acknowledges support from NSF #DBI‐1457897 and DOE Ameriflux Network Management Project core site funding to ChEAS core site cluster. R.L.S. acknowledges the USDA and DOE Office of Science for AmeriFlux core site support. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE‐AC05‐76RL01830. ORNL is managed by the University of Tennessee‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with DOE. Funding Information: The authors declare no conflicts of interest. This research was supported by the US Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER) as part of the Terrestrial Ecosystem Sciences Program. D.S.C. was supported by the AmeriFlux Management Project funded by the DOE's Office of Science under Contract No. DE-AC02-05CH11231. S.C.P. was supported by ESS-DIVE Community Funds Program, from the Data Management program within the Climate and Environmental Science Division of DOE BER. N.B. was supported by Swiss National Science Foundation project ICOS-CH (20FI20_173691). J.Z. was supported by a joint Ph.D. program grant (201206300050) from the China Scholarship Council (CSC) and University College Dublin (UCD), Special Project on Hi-Tech Innovation Capacity (KJCX20200301) and the Excellent Youth Scholars program from Beijing Academy of Agriculture and Forestry Sciences. B.O. was supported by the Higher Education Authority Programme for Research at Third Level Institutions Cycle 5 (PRTLI 5). E.A.D. was supported by DOE's Award DE-SC0006741 and USDA grant 2014-67003-22073. W.L.S. was supported by grants from the US DOE (TES-DE-FOA-0000749) and NSF (DEB-1457805). D.S. and M.A.M. were supported by an Early Career Award through the DOE BER. J.W., Z.P. and H.K. were supported by a Special Project on Hi-Tech Innovation Capacity grant (KJCX20200301) from the Beijing Academy of Agriculture and Forestry Sciences. S.-C.C. was supported by the Ministry of Science and Technology, Taiwan. A.A.R., E.P., M.J.T., C.A.M. and J.E.D. were supported by Australian Research Council grants DP170102766, DP110105102 and DP160102452. C.L.P. and J.G. were supported by DOE #DE-FG02-05ER64048. C.L.P. is supported by the USDA Agricultural Research Service (project 2072-12620-001). The USDA is an equal opportunity provider and employer. J.W.R. was funded by NSF DEB-0236502 and DEB-0703561. M.P. was supported by the Swedish Infrastructure for Ecosystem Science. M.U. was supported by the Arctic Challenge for Sustainability II (JPMXD1420318865) project and JSPS KAKENHI Grant Numbers 23681004 and 26701002. J.J.A. and J.F.P.-Q. were supported by the National Commission for Scientific and Technological Research (Chile) through grants FONDECYT 1171239, FONDEQUIP AIC-37 and the Associative Research Program AFB170008. Q.Z. was supported by NSFC?NSF collaboration funding (P. R. China?U.S. 51861125102). A.R.D. acknowledges support from NSF #DBI-1457897 and DOE Ameriflux Network Management Project core site funding to ChEAS core site cluster. R.L.S. acknowledges the USDA and DOE Office of Science for AmeriFlux core site support. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830. ORNL is managed by the University of Tennessee-Battelle, LLC, under contract DE-AC05-00OR22725 with DOE.
PY - 2020/12
Y1 - 2020/12
N2 - Globally, 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.
AB - Globally, 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.
UR - http://www.scopus.com/inward/record.url?scp=85092003521&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092003521&partnerID=8YFLogxK
U2 - 10.1111/gcb.15353
DO - 10.1111/gcb.15353
M3 - Article
C2 - 33026137
AN - SCOPUS:85092003521
VL - 26
SP - 7268
EP - 7283
JO - Global Change Biology
JF - Global Change Biology
SN - 1354-1013
IS - 12
ER -