COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data

Ben Bond-Lamberty; Danielle S. Christianson; Avni Malhotra; Stephanie C. Pennington; Debjani Sihi; Amir AghaKouchak; Hassan Anjileli; M. Altaf Arain; Juan J. Armesto; Samaneh Ashraf; Mioko Ataka; Dennis Baldocchi; Thomas Andrew Black; Nina Buchmann; Mariah S. Carbone; Shih Chieh Chang; Patrick Crill; Peter S. Curtis; Eric A. Davidson; Ankur R. Desai; John E. Drake; Tarek S. El-Madany; Michael Gavazzi; Carolyn Monika Görres; Christopher M. Gough; Michael Goulden; Jillian Gregg; Omar Gutiérrez del Arroyo; Jin Sheng He; Takashi Hirano; Anya Hopple; Holly Hughes; Järvi Järveoja; Rachhpal Jassal; Jinshi Jian; Haiming Kan; Jason Kaye; Yuji Kominami; Naishen Liang; David Lipson; Catriona A. Macdonald; Kadmiel Maseyk; Kayla Mathes; Marguerite Mauritz; Melanie A. Mayes; Steve McNulty; Guofang Miao; Mirco Migliavacca; Scott Miller; Chelcy F. Miniat; Jennifer G. Nietz; Mats B. Nilsson; Asko Noormets; Hamidreza Norouzi; Christine S. O’Connell; Bruce Osborne; Cecilio Oyonarte; Zhuo Pang; Matthias Peichl; Elise Pendall; Jorge F. Perez-Quezada; Claire L. Phillips; Richard P. Phillips; James W. Raich; Alexandre A. Renchon; Nadine K. Ruehr; Enrique P. Sánchez-Cañete; Matthew Saunders; Kathleen E. Savage; Marion Schrumpf; Russell L. Scott; Ulli Seibt; Whendee L. Silver; Wu Sun; Daphne Szutu; Kentaro Takagi; Masahiro Takagi; Munemasa Teramoto; Mark G. Tjoelker; Susan Trumbore; Masahito Ueyama; Rodrigo Vargas; Ruth K. Varner; Joseph Verfaillie; Christoph Vogel; Jinsong Wang; Greg Winston; Tana E. Wood; Juying Wu; Thomas Wutzler; Jiye Zeng; Tianshan Zha; Quan Zhang; Junliang Zou

doi:10.1111/gcb.15353

COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data

Ben Bond-Lamberty, Danielle S. Christianson, Avni Malhotra, Stephanie C. Pennington, Debjani Sihi, Amir AghaKouchak, Hassan Anjileli, M. Altaf Arain, Juan J. Armesto, Samaneh Ashraf, Mioko Ataka, Dennis Baldocchi, Thomas Andrew Black, Nina Buchmann, Mariah S. Carbone, Shih Chieh Chang, Patrick Crill, Peter S. Curtis, Eric A. Davidson, Ankur R. DesaiJohn E. Drake, Tarek S. El-Madany, Michael Gavazzi, Carolyn Monika Görres, Christopher M. Gough, Michael Goulden, Jillian Gregg, Omar Gutiérrez del Arroyo, Jin Sheng He, Takashi Hirano, Anya Hopple, Holly Hughes, Järvi Järveoja, Rachhpal Jassal, Jinshi Jian, Haiming Kan, Jason Kaye, Yuji Kominami, Naishen Liang, David Lipson, Catriona A. Macdonald, Kadmiel Maseyk, Kayla Mathes, Marguerite Mauritz, Melanie A. Mayes, Steve McNulty, Guofang Miao, Mirco Migliavacca, Scott Miller, Chelcy F. Miniat, Jennifer G. Nietz, Mats B. Nilsson, Asko Noormets, Hamidreza Norouzi, Christine S. O’Connell, Bruce Osborne, Cecilio Oyonarte, Zhuo Pang, Matthias Peichl, Elise Pendall, Jorge F. Perez-Quezada, Claire L. Phillips, Richard P. Phillips, James W. Raich, Alexandre A. Renchon, Nadine K. Ruehr, Enrique P. Sánchez-Cañete, Matthew Saunders, Kathleen E. Savage, Marion Schrumpf, Russell L. Scott, Ulli Seibt, Whendee L. Silver, Wu Sun, Daphne Szutu, Kentaro Takagi, Masahiro Takagi, Munemasa Teramoto, Mark G. Tjoelker, Susan Trumbore, Masahito Ueyama, Rodrigo Vargas, Ruth K. Varner, Joseph Verfaillie, Christoph Vogel, Jinsong Wang, Greg Winston, Tana E. Wood, Juying Wu, Thomas Wutzler, Jiye Zeng, Tianshan Zha, Quan Zhang, Junliang Zou

Biogeochemical Dynamics

Research output: Contribution to journal › Article › peer-review

50 Scopus citations

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 (R_S), is one of the largest carbon fluxes in the Earth system. An increasing number of high-frequency R_S 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 R_S, 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
Pages (from-to)	7268-7283
Number of pages	16
Journal	Global Change Biology
Volume	26
Issue number	12
DOIs	https://doi.org/10.1111/gcb.15353
State	Published - Dec 2020

Funding

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. 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.

Funders	Funder number
Associative Research Program	AFB170008
DOE BER
ESS-DIVE
FONDEQUIP	AIC‐37
NSFC?NSF
Swedish Infrastructure for Ecosystem Science	JPMXD1420318865
US Department of Energy
University of Tennessee-Battelle
University of Tennessee‐Battelle	DE‐AC05‐00OR22725
National Science Foundation	DEB‐1457805
U.S. Department of Energy	TES‐DE‐FOA‐0000749
U.S. Department of Agriculture	2014‐67003‐22073
Battelle	DE‐AC05‐76RL01830
Office of Science
Biological and Environmental Research	DE‐AC02‐05CH11231
Agricultural Research Service	DEB‐0236502, DEB‐0703561, 2072‐12620‐001
Australian Research Council	DP170102766, FG02‐05ER64048, DP110105102, DP160102452
University College Dublin	KJCX20200301
Japan Society for the Promotion of Science	23681004, 26701002
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung	20FI20_173691, 201206300050
National Natural Science Foundation of China	51861125102, 1457897
Agencia Nacional de Investigación y Desarrollo
Fondo Nacional de Desarrollo Científico y Tecnológico	1171239
China Scholarship Council
Ministry of Science and Technology, Taiwan
Beijing Academy of Agricultural and Forestry Sciences	DE‐SC0006741

Keywords

carbon dioxide
greenhouse gases
methane
open data
open science
soil respiration

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1111/gcb.15353

Cite this

Bond-Lamberty, B., Christianson, D. S., Malhotra, A., Pennington, S. C., Sihi, D., AghaKouchak, A., Anjileli, H., Altaf Arain, M., Armesto, J. J., Ashraf, S., Ataka, M., Baldocchi, D., Andrew Black, T., Buchmann, N., Carbone, M. S., Chang, S. C., Crill, P., Curtis, P. S., Davidson, E. A., ... Zou, J. (2020). COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. Global Change Biology, 26(12), 7268-7283. https://doi.org/10.1111/gcb.15353

@article{808ea69869594b76aa3cc2a91bfff244,

title = "COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data",

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.",

keywords = "carbon dioxide, greenhouse gases, methane, open data, open science, soil respiration",

author = "Ben Bond-Lamberty and Christianson, {Danielle S.} and Avni Malhotra and Pennington, {Stephanie C.} and Debjani Sihi and Amir AghaKouchak and Hassan Anjileli and {Altaf Arain}, M. and Armesto, {Juan J.} and Samaneh Ashraf and Mioko Ataka and Dennis Baldocchi and {Andrew Black}, Thomas and Nina Buchmann and Carbone, {Mariah S.} and Chang, {Shih Chieh} and Patrick Crill and Curtis, {Peter S.} and Davidson, {Eric A.} and Desai, {Ankur R.} and Drake, {John E.} and El-Madany, {Tarek S.} and Michael Gavazzi and G{\"o}rres, {Carolyn Monika} and Gough, {Christopher M.} and Michael Goulden and Jillian Gregg and {Guti{\'e}rrez del Arroyo}, Omar and He, {Jin Sheng} and Takashi Hirano and Anya Hopple and Holly Hughes and J{\"a}rvi J{\"a}rveoja and Rachhpal Jassal and Jinshi Jian and Haiming Kan and Jason Kaye and Yuji Kominami and Naishen Liang and David Lipson and Macdonald, {Catriona A.} and Kadmiel Maseyk and Kayla Mathes and Marguerite Mauritz and Mayes, {Melanie A.} and Steve McNulty and Guofang Miao and Mirco Migliavacca and Scott Miller and Miniat, {Chelcy F.} and Nietz, {Jennifer G.} and Nilsson, {Mats B.} and Asko Noormets and Hamidreza Norouzi and O{\textquoteright}Connell, {Christine S.} and Bruce Osborne and Cecilio Oyonarte and Zhuo Pang and Matthias Peichl and Elise Pendall and Perez-Quezada, {Jorge F.} and Phillips, {Claire L.} and Phillips, {Richard P.} and Raich, {James W.} and Renchon, {Alexandre A.} and Ruehr, {Nadine K.} and S{\'a}nchez-Ca{\~n}ete, {Enrique P.} and Matthew Saunders and Savage, {Kathleen E.} and Marion Schrumpf and Scott, {Russell L.} and Ulli Seibt and Silver, {Whendee L.} and Wu Sun and Daphne Szutu and Kentaro Takagi and Masahiro Takagi and Munemasa Teramoto and Tjoelker, {Mark G.} and Susan Trumbore and Masahito Ueyama and Rodrigo Vargas and Varner, {Ruth K.} and Joseph Verfaillie and Christoph Vogel and Jinsong Wang and Greg Winston and Wood, {Tana E.} and Juying Wu and Thomas Wutzler and Jiye Zeng and Tianshan Zha and Quan Zhang and Junliang Zou",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd",

year = "2020",

month = dec,

doi = "10.1111/gcb.15353",

language = "English",

volume = "26",

pages = "7268--7283",

journal = "Global Change Biology",

issn = "1354-1013",

publisher = "wiley",

number = "12",

}

Bond-Lamberty, B, Christianson, DS, Malhotra, A, Pennington, SC, Sihi, D, AghaKouchak, A, Anjileli, H, Altaf Arain, M, Armesto, JJ, Ashraf, S, Ataka, M, Baldocchi, D, Andrew Black, T, Buchmann, N, Carbone, MS, Chang, SC, Crill, P, Curtis, PS, Davidson, EA, Desai, AR, Drake, JE, El-Madany, TS, Gavazzi, M, Görres, CM, Gough, CM, Goulden, M, Gregg, J, Gutiérrez del Arroyo, O, He, JS, Hirano, T, Hopple, A, Hughes, H, Järveoja, J, Jassal, R, Jian, J, Kan, H, Kaye, J, Kominami, Y, Liang, N, Lipson, D, Macdonald, CA, Maseyk, K, Mathes, K, Mauritz, M, Mayes, MA, McNulty, S, Miao, G, Migliavacca, M, Miller, S, Miniat, CF, Nietz, JG, Nilsson, MB, Noormets, A, Norouzi, H, O’Connell, CS, Osborne, B, Oyonarte, C, Pang, Z, Peichl, M, Pendall, E, Perez-Quezada, JF, Phillips, CL, Phillips, RP, Raich, JW, Renchon, AA, Ruehr, NK, Sánchez-Cañete, EP, Saunders, M, Savage, KE, Schrumpf, M, Scott, RL, Seibt, U, Silver, WL, Sun, W, Szutu, D, Takagi, K, Takagi, M, Teramoto, M, Tjoelker, MG, Trumbore, S, Ueyama, M, Vargas, R, Varner, RK, Verfaillie, J, Vogel, C, Wang, J, Winston, G, Wood, TE, Wu, J, Wutzler, T, Zeng, J, Zha, T, Zhang, Q & Zou, J 2020, 'COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data', Global Change Biology, vol. 26, no. 12, pp. 7268-7283. https://doi.org/10.1111/gcb.15353

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

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.

KW - carbon dioxide

KW - greenhouse gases

KW - methane

KW - open data

KW - open science

KW - soil respiration

UR - http://www.scopus.com/inward/record.url?scp=85092003521&partnerID=8YFLogxK

U2 - 10.1111/gcb.15353

DO - 10.1111/gcb.15353

M3 - Article

C2 - 33026137

AN - SCOPUS:85092003521

SN - 1354-1013

VL - 26

SP - 7268

EP - 7283

JO - Global Change Biology

JF - Global Change Biology

IS - 12

ER -

COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data

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Keywords

UN SDGs

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