COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data
Ben Bond‐Lamberty, Danielle Christianson, Avni Malhotra, Stephanie Pennington, Debjani Sihi, Amir AghaKouchak, Hassan Anjileli, M. Altaf Arain, Juan J. Armestó, Samaneh Ashraf, Mioko Ataka, Dennis Baldocchi, T. Andrew Black, Nina Buchmann, Mariah S. Carbone, Shih‐Chieh Chang, P. M. 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 L. Goulden, Jillian W. Gregg, Omar Gutiérrez del Arroyo, Jin He, Takashi Hirano, Anya M. Hopple, Holly Hughes, Järvi Järveoja, Rachhpal S. Jassal, Jinshi Jian, Haiming Kan, Jason P. Kaye, Yuji Kominami, Naishen Liang, David A. Lipson, Catriona A. Macdonald, Kadmiel Maseyk, Kayla Mathes, Marguerite Mauritz, Melanie A. Mayes, Steven G. McNulty, Guofang Miao, Mirco Migliavacca, S. D. Miller, Chelcy Ford Miniat, Jennifer Goedhart Nietz, Mats B. Nilsson, Asko Noormets, H. Norouzi, Christine S. O’Connell, Bruce Osborne, Cecilio Oyonarte, Zhuo Pang, Matthias Peichl, Elise Pendall, Jorge F. Pérez‐Quezada, Claire L. Phillips, Richard P. Phillips, James W. Raich, Alexandre A. Renchon, Nadine K. Ruehr, Enrique P. Sánchez‐Cañete, Matthew Saunders, K. 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, R. K. Varner, Joseph Verfaillie, Christoph S. Vogel, Jinsong Wang, G. Winston, Tana E. Wood, Zhenhua Wu, Thomas Wutzler, Jiye Zeng, Tianshan Zha, Quan Zhang, Junliang Zou
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.- Cite:
- Ben Bond‐Lamberty, Danielle Christianson, Avni Malhotra, Stephanie Pennington, Debjani Sihi, Amir AghaKouchak, Hassan Anjileli, M. Altaf Arain, Juan J. Armestó, Samaneh Ashraf, Mioko Ataka, Dennis Baldocchi, T. Andrew Black, Nina Buchmann, Mariah S. Carbone, Shih‐Chieh Chang, P. M. Crill, Peter S. Curtis, Eric A. Davidson, et al.. 2020. COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data. Global Change Biology, Volume 26, Issue 12, 26(12):7268–7283.
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@article{Bond‐Lamberty-2020-COSORE:, title = "COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data", author = {Bond‐Lamberty, Ben and Christianson, Danielle and Malhotra, Avni and Pennington, Stephanie and Sihi, Debjani and AghaKouchak, Amir and Anjileli, Hassan and Arain, M. Altaf and Armest{\'o}, Juan J. and Ashraf, Samaneh and Ataka, Mioko and Baldocchi, Dennis and Black, T. Andrew and Buchmann, Nina and Carbone, Mariah S. and Chang, Shih‐Chieh and Crill, P. M. and Curtis, Peter S. and Davidson, Eric A. and Desai, Ankur R. and Drake, John E. and El‐Madany, Tarek S. and Gavazzi, Michael and G{\"o}rres, Carolyn‐Monika and Gough, Christopher M. and Goulden, Michael L. and Gregg, Jillian W. and Arroyo, Omar Guti{\'e}rrez del and He, Jin and Hirano, Takashi and Hopple, Anya M. and Hughes, Holly and J{\"a}rveoja, J{\"a}rvi and Jassal, Rachhpal S. and Jian, Jinshi and Kan, Haiming and Kaye, Jason P. and Kominami, Yuji and Liang, Naishen and Lipson, David A. and Macdonald, Catriona A. and Maseyk, Kadmiel and Mathes, Kayla and Mauritz, Marguerite and Mayes, Melanie A. and McNulty, Steven G. and Miao, Guofang and Migliavacca, Mirco and Miller, S. D. and Miniat, Chelcy Ford and Nietz, Jennifer Goedhart and Nilsson, Mats B. and Noormets, Asko and Norouzi, H. and O{'}Connell, Christine S. and Osborne, Bruce and Oyonarte, Cecilio and Pang, Zhuo and Peichl, Matthias and Pendall, Elise and P{\'e}rez‐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 Saunders, Matthew and Savage, K. E. and Schrumpf, Marion and Scott, Russell L. and Seibt, Ulli and Silver, Whendee L. and Sun, Wu and Szutu, Daphne and Takagi, Kentaro and Takagi, Masahiro and Teramoto, Munemasa and Tjoelker, Mark G. and Trumbore, Susan and Ueyama, Masahito and Vargas, Rodrigo and Varner, R. K. and Verfaillie, Joseph and Vogel, Christoph S. and Wang, Jinsong and Winston, G. and Wood, Tana E. and Wu, Zhenhua and Wutzler, Thomas and Zeng, Jiye and Zha, Tianshan and Zhang, Quan and Zou, Junliang}, journal = "Global Change Biology, Volume 26, Issue 12", volume = "26", number = "12", year = "2020", publisher = "Wiley", url = "https://gwf-uwaterloo.github.io/gwf-publications/G20-63001", doi = "10.1111/gcb.15353", pages = "7268--7283", 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.", }
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<roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Christoph</namePart> <namePart type="given">S</namePart> <namePart type="family">Vogel</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Jinsong</namePart> <namePart type="family">Wang</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">G</namePart> <namePart type="family">Winston</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Tana</namePart> <namePart type="given">E</namePart> <namePart type="family">Wood</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Zhenhua</namePart> <namePart type="family">Wu</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Thomas</namePart> <namePart type="family">Wutzler</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Jiye</namePart> <namePart type="family">Zeng</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Tianshan</namePart> <namePart type="family">Zha</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Quan</namePart> <namePart type="family">Zhang</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Junliang</namePart> <namePart type="family">Zou</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <originInfo> <dateIssued>2020</dateIssued> </originInfo> <typeOfResource>text</typeOfResource> <genre authority="bibutilsgt">journal article</genre> <relatedItem type="host"> <titleInfo> <title>Global Change Biology, Volume 26, Issue 12</title> </titleInfo> <originInfo> <issuance>continuing</issuance> <publisher>Wiley</publisher> </originInfo> <genre authority="marcgt">periodical</genre> <genre authority="bibutilsgt">academic journal</genre> </relatedItem> <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.</abstract> <identifier type="citekey">Bond‐Lamberty-2020-COSORE:</identifier> <identifier type="doi">10.1111/gcb.15353</identifier> <location> <url>https://gwf-uwaterloo.github.io/gwf-publications/G20-63001</url> </location> <part> <date>2020</date> <detail type="volume"><number>26</number></detail> <detail type="issue"><number>12</number></detail> <extent unit="page"> <start>7268</start> <end>7283</end> </extent> </part> </mods> </modsCollection>
%0 Journal Article %T COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data %A Bond‐Lamberty, Ben %A Christianson, Danielle %A Malhotra, Avni %A Pennington, Stephanie %A Sihi, Debjani %A AghaKouchak, Amir %A Anjileli, Hassan %A Arain, M. Altaf %A Armestó, Juan J. %A Ashraf, Samaneh %A Ataka, Mioko %A Baldocchi, Dennis %A Black, T. Andrew %A Buchmann, Nina %A Carbone, Mariah S. %A Chang, Shih‐Chieh %A Crill, P. M. %A Curtis, Peter S. %A Davidson, Eric A. %A Desai, Ankur R. %A Drake, John E. %A El‐Madany, Tarek S. %A Gavazzi, Michael %A Görres, Carolyn‐Monika %A Gough, Christopher M. %A Goulden, Michael L. %A Gregg, Jillian W. %A Arroyo, Omar Gutiérrez del %A He, Jin %A Hirano, Takashi %A Hopple, Anya M. %A Hughes, Holly %A Järveoja, Järvi %A Jassal, Rachhpal S. %A Jian, Jinshi %A Kan, Haiming %A Kaye, Jason P. %A Kominami, Yuji %A Liang, Naishen %A Lipson, David A. %A Macdonald, Catriona A. %A Maseyk, Kadmiel %A Mathes, Kayla %A Mauritz, Marguerite %A Mayes, Melanie A. %A McNulty, Steven G. %A Miao, Guofang %A Migliavacca, Mirco %A Miller, S. D. %A Miniat, Chelcy Ford %A Nietz, Jennifer Goedhart %A Nilsson, Mats B. %A Noormets, Asko %A Norouzi, H. %A O’Connell, Christine S. %A Osborne, Bruce %A Oyonarte, Cecilio %A Pang, Zhuo %A Peichl, Matthias %A Pendall, Elise %A Pérez‐Quezada, Jorge F. %A Phillips, Claire L. %A Phillips, Richard P. %A Raich, James W. %A Renchon, Alexandre A. %A Ruehr, Nadine K. %A Sánchez‐Cañete, Enrique P. %A Saunders, Matthew %A Savage, K. E. %A Schrumpf, Marion %A Scott, Russell L. %A Seibt, Ulli %A Silver, Whendee L. %A Sun, Wu %A Szutu, Daphne %A Takagi, Kentaro %A Takagi, Masahiro %A Teramoto, Munemasa %A Tjoelker, Mark G. %A Trumbore, Susan %A Ueyama, Masahito %A Vargas, Rodrigo %A Varner, R. K. %A Verfaillie, Joseph %A Vogel, Christoph S. %A Wang, Jinsong %A Winston, G. %A Wood, Tana E. %A Wu, Zhenhua %A Wutzler, Thomas %A Zeng, Jiye %A Zha, Tianshan %A Zhang, Quan %A Zou, Junliang %J Global Change Biology, Volume 26, Issue 12 %D 2020 %V 26 %N 12 %I Wiley %F Bond‐Lamberty-2020-COSORE: %X 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. %R 10.1111/gcb.15353 %U https://gwf-uwaterloo.github.io/gwf-publications/G20-63001 %U https://doi.org/10.1111/gcb.15353 %P 7268-7283
Markdown (Informal)
[COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data](https://gwf-uwaterloo.github.io/gwf-publications/G20-63001) (Bond‐Lamberty et al., GWF 2020)
- COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data (Bond‐Lamberty et al., GWF 2020)
ACL
- Ben Bond‐Lamberty, Danielle Christianson, Avni Malhotra, Stephanie Pennington, Debjani Sihi, Amir AghaKouchak, Hassan Anjileli, M. Altaf Arain, Juan J. Armestó, Samaneh Ashraf, Mioko Ataka, Dennis Baldocchi, T. Andrew Black, Nina Buchmann, Mariah S. Carbone, Shih‐Chieh Chang, P. M. Crill, Peter S. Curtis, Eric A. Davidson, et al.. 2020. COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data. Global Change Biology, Volume 26, Issue 12, 26(12):7268–7283.