Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-1843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
05 May 2021
Data description paper |
| 05 May 2021
| 05 May 2021
SoDaH: the SOils DAta Harmonization database, an open-source synthesis of soil data from research networks, version 1.0
Institute of Arctic and Alpine Research, University of Colorado
Boulder, CO, USA
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO,
USA
Derek Pierson
Department of Crop and Soil Sciences, Oregon State University,
Corvallis, OR, USA
Department of Biological Sciences, Idaho State University, Pocatello, ID, USA
Stevan Earl
Global Institute of Sustainability, Arizona State University, Tempe,
AZ, USA
Kate Lajtha
Department of Crop and Soil Sciences, Oregon State University,
Corvallis, OR, USA
Sara G. Baer
Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
Kansas
Biological Survey, University of Kansas, Lawrence, KS, USA
Ford Ballantyne
Odum School of Ecology, University of Georgia, Athens, GA, USA
Asmeret Asefaw Berhe
Department of Life and Environmental Sciences, University of
California, Merced, CA, USA
Sharon A. Billings
Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
Kansas
Biological Survey, University of Kansas, Lawrence, KS, USA
Laurel M. Brigham
Institute of Arctic and Alpine Research, University of Colorado
Boulder, CO, USA
Department of Ecology and Evolutionary Biology and Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA
Stephany S. Chacon
Department of Crop and Soil Sciences, Oregon State University,
Corvallis, OR, USA
Climate and Ecosystem Sciences, Lawrence Berkeley National Laboratory,
Berkeley, CA, USA
Jennifer Fraterrigo
Department of Natural Resources and Environmental Sciences,
University of Illinois, Urbana, IL, USA
Serita D. Frey
Department of Natural Resources and the Environment, University of
New Hampshire, Durham, NH, USA
Katerina Georgiou
Department of Earth System Science, Stanford University, Stanford,
CA, USA
Lawrence Livermore National Laboratory, Livermore, CA, USA
Marie-Anne de Graaff
Department of Biological Sciences, Boise State University, Boise, ID, USA
A. Stuart Grandy
Department of Natural Resources and the Environment, University of
New Hampshire, Durham, NH, USA
Melannie D. Hartman
Climate and Global Dynamics Laboratory, National Center for
Atmospheric Research, Boulder CO, USA
Natural Resource Ecology Laboratory,
Colorado State University, Fort Collins, CO, USA
Sarah E. Hobbie
Department of Ecology, Evolution, and Behavior, University of
Minnesota, St. Paul, MN, USA
Chris Johnson
Department of Civil and Environmental Engineering, Syracuse
University, Syracuse, NY, USA
Jason Kaye
Department of Ecosystem Science and Management, The Pennsylvania
State University, University Park, PA, USA
Emily Kyker-Snowman
Department of Natural Resources and the Environment, University of
New Hampshire, Durham, NH, USA
Marcy E. Litvak
Department of Biology, University of New Mexico, Albuquerque, NM, USA
Michelle C. Mack
Center for Ecosystem Science and Society and Department of Biological
Sciences, Northern Arizona University, Flagstaff, AZ, USA
Avni Malhotra
Department of Earth System Science, Stanford University, Stanford,
CA, USA
Jessica A. M. Moore
Bioscience Division, Oak Ridge National Laboratory, Oak Ridge, TN,
USA
Knute Nadelhoffer
Department of Ecology and Evolutionary Biology, University of
Michigan, Ann Arbor, MI, USA
Craig Rasmussen
Department of Environmental Science, The University of Arizona,
Tucson, AZ, USA
Whendee L. Silver
Department of Environmental Science, Policy, and Management,
University of California, Berkeley, CA, USA
Benjamin N. Sulman
Climate Change Science Institute and Environmental Sciences Division,
Oak Ridge National Laboratory, Oak Ridge, TN, USA
Xanthe Walker
Center for Ecosystem Science and Society and Department of Biological
Sciences, Northern Arizona University, Flagstaff, AZ, USA
Samantha Weintraub
National Ecological Observatory Network, Battelle, Boulder, CO, USA
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Short summary
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Short summary
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Enhanced rock weathering (ERW) is a CO2 removal strategy that involves applying crushed rocks (e.g., basalt) to agricultural soils. However, unintended processes within the N cycle due to soil pH changes may affect the climate benefits of C sequestration. ERW could drive changes in soil emissions of non-CO2 GHGs (N2O) and trace gases (NO and NH3) that may affect air quality. We present a new improved N cycling scheme for the land model (CLM5) to evaluate ERW effects on soil gas N emissions.
Stefano Potter, Sol Cooperdock, Sander Veraverbeke, Xanthe Walker, Michelle C. Mack, Scott J. Goetz, Jennifer Baltzer, Laura Bourgeau-Chavez, Arden Burrell, Catherine Dieleman, Nancy French, Stijn Hantson, Elizabeth E. Hoy, Liza Jenkins, Jill F. Johnstone, Evan S. Kane, Susan M. Natali, James T. Randerson, Merritt R. Turetsky, Ellen Whitman, Elizabeth Wiggins, and Brendan M. Rogers
Biogeosciences, 20, 2785–2804, https://doi.org/10.5194/bg-20-2785-2023, https://doi.org/10.5194/bg-20-2785-2023, 2023
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Here we developed a new burned-area detection algorithm between 2001–2019 across Alaska and Canada at 500 m resolution. We estimate 2.37 Mha burned annually between 2001–2019 over the domain, emitting 79.3 Tg C per year, with a mean combustion rate of 3.13 kg C m−2. We found larger-fire years were generally associated with greater mean combustion. The burned-area and combustion datasets described here can be used for local- to continental-scale applications of boreal fire science.
Mathew Lipson, Sue Grimmond, Martin Best, Winston T. L. Chow, Andreas Christen, Nektarios Chrysoulakis, Andrew Coutts, Ben Crawford, Stevan Earl, Jonathan Evans, Krzysztof Fortuniak, Bert G. Heusinkveld, Je-Woo Hong, Jinkyu Hong, Leena Järvi, Sungsoo Jo, Yeon-Hee Kim, Simone Kotthaus, Keunmin Lee, Valéry Masson, Joseph P. McFadden, Oliver Michels, Wlodzimierz Pawlak, Matthias Roth, Hirofumi Sugawara, Nigel Tapper, Erik Velasco, and Helen Claire Ward
Earth Syst. Sci. Data, 14, 5157–5178, https://doi.org/10.5194/essd-14-5157-2022, https://doi.org/10.5194/essd-14-5157-2022, 2022
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We describe a new openly accessible collection of atmospheric observations from 20 cities around the world, capturing 50 site years. The observations capture local meteorology (temperature, humidity, wind, etc.) and the energy fluxes between the land and atmosphere (e.g. radiation and sensible and latent heat fluxes). These observations can be used to improve our understanding of urban climate processes and to test the accuracy of urban climate models.
Zheng Xiang, Yongkang Xue, Weidong Guo, Melannie D. Hartman, Ye Liu, and William J. Parton
EGUsphere, https://doi.org/10.5194/egusphere-2022-1111, https://doi.org/10.5194/egusphere-2022-1111, 2022
Preprint archived
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A process-based plant Carbon (C)-Nitrogen (N) interface coupling framework has been developed, which mainly focuses on the plant resistance and N limitation effects on photosynthesis, plant respiration, and plant phenology. A dynamic C / N ratio is introduced to represent plant resistance and self-adjustment. The framework has been implemented in a coupled biophysical-ecosystem-biogeochemical model and testing results show a general improvement in simulating plant properties with this framework.
Stephen G. Yeager, Nan Rosenbloom, Anne A. Glanville, Xian Wu, Isla Simpson, Hui Li, Maria J. Molina, Kristen Krumhardt, Samuel Mogen, Keith Lindsay, Danica Lombardozzi, Will Wieder, Who M. Kim, Jadwiga H. Richter, Matthew Long, Gokhan Danabasoglu, David Bailey, Marika Holland, Nicole Lovenduski, Warren G. Strand, and Teagan King
Geosci. Model Dev., 15, 6451–6493, https://doi.org/10.5194/gmd-15-6451-2022, https://doi.org/10.5194/gmd-15-6451-2022, 2022
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The Earth system changes over a range of time and space scales, and some of these changes are predictable in advance. Short-term weather forecasts are most familiar, but recent work has shown that it is possible to generate useful predictions several seasons or even a decade in advance. This study focuses on predictions over intermediate timescales (up to 24 months in advance) and shows that there is promising potential to forecast a variety of changes in the natural environment.
Katherine E. O. Todd-Brown, Rose Z. Abramoff, Jeffrey Beem-Miller, Hava K. Blair, Stevan Earl, Kristen J. Frederick, Daniel R. Fuka, Mario Guevara Santamaria, Jennifer W. Harden, Katherine Heckman, Lillian J. Heran, James R. Holmquist, Alison M. Hoyt, David H. Klinges, David S. LeBauer, Avni Malhotra, Shelby C. McClelland, Lucas E. Nave, Katherine S. Rocci, Sean M. Schaeffer, Shane Stoner, Natasja van Gestel, Sophie F. von Fromm, and Marisa L. Younger
Biogeosciences, 19, 3505–3522, https://doi.org/10.5194/bg-19-3505-2022, https://doi.org/10.5194/bg-19-3505-2022, 2022
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Research data are becoming increasingly available online with tantalizing possibilities for reanalysis. However harmonizing data from different sources remains challenging. Using the soils community as an example, we walked through the various strategies that researchers currently use to integrate datasets for reanalysis. We find that manual data transcription is still extremely common and that there is a critical need for community-supported informatics tools like vocabularies and ontologies.
Charles D. Koven, Vivek K. Arora, Patricia Cadule, Rosie A. Fisher, Chris D. Jones, David M. Lawrence, Jared Lewis, Keith Lindsay, Sabine Mathesius, Malte Meinshausen, Michael Mills, Zebedee Nicholls, Benjamin M. Sanderson, Roland Séférian, Neil C. Swart, William R. Wieder, and Kirsten Zickfeld
Earth Syst. Dynam., 13, 885–909, https://doi.org/10.5194/esd-13-885-2022, https://doi.org/10.5194/esd-13-885-2022, 2022
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We explore the long-term dynamics of Earth's climate and carbon cycles under a pair of contrasting scenarios to the year 2300 using six models that include both climate and carbon cycle dynamics. One scenario assumes very high emissions, while the second assumes a peak in emissions, followed by rapid declines to net negative emissions. We show that the models generally agree that warming is roughly proportional to carbon emissions but that many other aspects of the model projections differ.
Shuang Ma, Lifen Jiang, Rachel M. Wilson, Jeff P. Chanton, Scott Bridgham, Shuli Niu, Colleen M. Iversen, Avni Malhotra, Jiang Jiang, Xingjie Lu, Yuanyuan Huang, Jason Keller, Xiaofeng Xu, Daniel M. Ricciuto, Paul J. Hanson, and Yiqi Luo
Biogeosciences, 19, 2245–2262, https://doi.org/10.5194/bg-19-2245-2022, https://doi.org/10.5194/bg-19-2245-2022, 2022
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The relative ratio of wetland methane (CH4) emission pathways determines how much CH4 is oxidized before leaving the soil. We found an ebullition modeling approach that has a better performance in deep layer pore water CH4 concentration. We suggest using this approach in land surface models to accurately represent CH4 emission dynamics and response to climate change. Our results also highlight that both CH4 flux and belowground concentration data are important to constrain model parameters.
Keith B. Rodgers, Sun-Seon Lee, Nan Rosenbloom, Axel Timmermann, Gokhan Danabasoglu, Clara Deser, Jim Edwards, Ji-Eun Kim, Isla R. Simpson, Karl Stein, Malte F. Stuecker, Ryohei Yamaguchi, Tamás Bódai, Eui-Seok Chung, Lei Huang, Who M. Kim, Jean-François Lamarque, Danica L. Lombardozzi, William R. Wieder, and Stephen G. Yeager
Earth Syst. Dynam., 12, 1393–1411, https://doi.org/10.5194/esd-12-1393-2021, https://doi.org/10.5194/esd-12-1393-2021, 2021
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A large ensemble of simulations with 100 members has been conducted with the state-of-the-art CESM2 Earth system model, using historical and SSP3-7.0 forcing. Our main finding is that there are significant changes in the variance of the Earth system in response to anthropogenic forcing, with these changes spanning a broad range of variables important to impacts for human populations and ecosystems.
David Olefeldt, Mikael Hovemyr, McKenzie A. Kuhn, David Bastviken, Theodore J. Bohn, John Connolly, Patrick Crill, Eugénie S. Euskirchen, Sarah A. Finkelstein, Hélène Genet, Guido Grosse, Lorna I. Harris, Liam Heffernan, Manuel Helbig, Gustaf Hugelius, Ryan Hutchins, Sari Juutinen, Mark J. Lara, Avni Malhotra, Kristen Manies, A. David McGuire, Susan M. Natali, Jonathan A. O'Donnell, Frans-Jan W. Parmentier, Aleksi Räsänen, Christina Schädel, Oliver Sonnentag, Maria Strack, Suzanne E. Tank, Claire Treat, Ruth K. Varner, Tarmo Virtanen, Rebecca K. Warren, and Jennifer D. Watts
Earth Syst. Sci. Data, 13, 5127–5149, https://doi.org/10.5194/essd-13-5127-2021, https://doi.org/10.5194/essd-13-5127-2021, 2021
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Wetlands, lakes, and rivers are important sources of the greenhouse gas methane to the atmosphere. To understand current and future methane emissions from northern regions, we need maps that show the extent and distribution of specific types of wetlands, lakes, and rivers. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) provides maps of five wetland types, seven lake types, and three river types for northern regions and will improve our ability to predict future methane emissions.
Jörg Schnecker, D. Boone Meeden, Francisco Calderon, Michel Cavigelli, R. Michael Lehman, Lisa K. Tiemann, and A. Stuart Grandy
SOIL, 7, 547–561, https://doi.org/10.5194/soil-7-547-2021, https://doi.org/10.5194/soil-7-547-2021, 2021
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Drought and flooding challenge agricultural systems and their management globally. Here we investigated the response of soils from long-term agricultural field sites with simple and diverse crop rotations to either drought or flooding. We found that irrespective of crop rotation complexity, soil and microbial properties were more resistant to flooding than to drought and highly resilient to drought and flooding during single or repeated stress pulses.
Frances A. Podrebarac, Sharon A. Billings, Kate A. Edwards, Jérôme Laganière, Matthew J. Norwood, and Susan E. Ziegler
Biogeosciences, 18, 4755–4772, https://doi.org/10.5194/bg-18-4755-2021, https://doi.org/10.5194/bg-18-4755-2021, 2021
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Soil respiration is a large and temperature-responsive flux in the global carbon cycle. We found increases in microbial use of easy to degrade substrates enhanced the temperature response of respiration in soils layered as they are in situ. This enhanced response is consistent with soil composition differences in warm relative to cold climate forests. These results highlight the importance of the intact nature of soils rarely studied in regulating responses of CO2 fluxes to changing temperature.
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, and Robert B. Jackson
Earth Syst. Sci. Data, 13, 3607–3689, https://doi.org/10.5194/essd-13-3607-2021, https://doi.org/10.5194/essd-13-3607-2021, 2021
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Methane is an important greenhouse gas, yet we lack knowledge about its global emissions and drivers. We present FLUXNET-CH4, a new global collection of methane measurements and a critical resource for the research community. We use FLUXNET-CH4 data to quantify the seasonality of methane emissions from freshwater wetlands, finding that methane seasonality varies strongly with latitude. Our new database and analysis will improve wetland model accuracy and inform greenhouse gas budgets.
Debjani Sihi, Xiaofeng Xu, Mónica Salazar Ortiz, Christine S. O'Connell, Whendee L. Silver, Carla López-Lloreda, Julia M. Brenner, Ryan K. Quinn, Jana R. Phillips, Brent D. Newman, and Melanie A. Mayes
Biogeosciences, 18, 1769–1786, https://doi.org/10.5194/bg-18-1769-2021, https://doi.org/10.5194/bg-18-1769-2021, 2021
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Humid tropical soils are important sources and sinks of methane. We used model simulation to understand how different kinds of microbes and observed soil moisture and oxygen dynamics contribute to production and consumption of methane along a wet tropical hillslope during normal and drought conditions. Drought alters the diffusion of oxygen and microbial substrates into and out of soil microsites, resulting in enhanced methane release from the entire hillslope during drought recovery.
Natasha MacBean, Russell L. Scott, Joel A. Biederman, Catherine Ottlé, Nicolas Vuichard, Agnès Ducharne, Thomas Kolb, Sabina Dore, Marcy Litvak, and David J. P. Moore
Hydrol. Earth Syst. Sci., 24, 5203–5230, https://doi.org/10.5194/hess-24-5203-2020, https://doi.org/10.5194/hess-24-5203-2020, 2020
Curt A. McConnell, Jason P. Kaye, and Armen R. Kemanian
Biogeosciences, 17, 5309–5333, https://doi.org/10.5194/bg-17-5309-2020, https://doi.org/10.5194/bg-17-5309-2020, 2020
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Soil phosphorus (P) management is a critical challenge for agriculture worldwide; yet, simulation models of soil P processes lag those of other essential nutrients. In this review, we identify hindrances to measuring and modeling soil P pools and fluxes. We highlight the need to clarify biological and mineral interactions by defining P pools explicitly and using evolving techniques, such as tracing P in phosphates using oxygen isotopes.
Cited articles
Adair, E. C., Parton, W. J., Del Grosso, S. J., Silver, W. L., Harmon, M.
E., Hall, S. A., Burke, I. C., and Hart, S. C.: Simple three-pool model
accurately describes patterns of long-term litter decomposition in diverse
climates, Glob. Change Biol., 14, 2636–2660, https://doi.org/10.1111/J.1365-2486.2008.01674.X. 2008.
Baatz, R., Sullivan, P. L., Li, L., Weintraub, S. R., Loescher, H. W., Mirtl, M., Groffman, P. M., Wall, D. H., Young, M., White, T., Wen, H., Zacharias, S., Kühn, I., Tang, J., Gaillardet, J., Braud, I., Flores, A. N., Kumar, P., Lin, H., Ghezzehei, T., Jones, J., Gholz, H. L., Vereecken, H., and Van Looy, K.: Steering operational synergies in terrestrial observation networks: opportunity for advancing Earth system dynamics modelling, Earth Syst. Dynam., 9, 593–609, https://doi.org/10.5194/esd-9-593-2018, 2018.
Billings, S. A., Lajtha, K., Malhotra, A., Berhe, A. A., de Graaff, M. A.,
Earl, S., Fraterrigo, J., Georgiou, K., Grandy, S., Hobbie, S. E., Moore, J.
A. M., Nadelhoffer, K., Pierson, D., Rasmussen, C., Silver, W. L., Sulman,
B. N., Weintraub, S., and Wieder, W.: Soil organic carbon is not
just for soil scientists: measurement recommendations for diverse
practitioners, Ecol. Appl., 31, e02290, https://doi.org/10.1002/eap.2290, 2021.
Bonan, G. B., Hartman, M. D., Parton, W. J., and Wieder, W. R.: Evaluating
litter decomposition in earth system models with long-term litterbag
experiments: an example using the Community Land Model version 4 (CLM4),
Glob. Change Biol., 19, 957–974, https://doi.org/10.1111/gcb.12031, 2013.
Buck, J. J. H., Bainbridge, S. J., Burger, E. F., Kraberg, A. C., Casari,
M., Casey, K. S., Darroch, L., Rio, J. D., Metfies, K., Delory, E., Fischer,
P. F., Gardner, T., Heffernan, R., Jirka, S., Kokkinaki, A., Loebl, M.,
Buttigieg, P. L., Pearlman, J. S., and Schewe, I.: Ocean Data Product
Integration Through Innovation-The Next Level of Data Interoperability,
Front. Mar. Sci., 6, 32, https://doi.org/10.3389/fmars.2019.00032, 2019.
Chang, W., Cheng J., Allaire, J. J., Xie, Y., and McPherson, J.: shiny: Web
Application Framework for R, R package version 1.4.0.2, available at: https://CRAN.R-project.org/package=shiny (last access: 28 April 2021), 2020.
Cotrufo, M. F., Wallenstein, M. D., Boot, C. M., Denef, K., and Paul, E.:
The Microbial Efficiency-Matrix Stabilization (MEMS) framework integrates
plant litter decomposition with soil organic matter stabilization: do labile
plant inputs form stable soil organic matter?, Glob. Change Biol., 19, 988–995,
https://doi.org/10.1111/gcb.12113, 2013.
Dungait, J. A. J., Hopkins, D. W., Gregory, A. S., and Whitmore, A. P.: Soil
organic matter turnover is governed by accessibility not recalcitrance,
Glob. Change Biol., 18, 1781–1796, https://doi.org/10.1111/j.1365-2486.2012.02665.x, 2012.
Frank, D. A., Pontes, A. W., and McFarlane, K. J.: Controls on Soil Organic
Carbon Stocks and Turnover Among North American Ecosystems, Ecosystems, 15,
604–615, https://doi.org/10.1007/s10021-012-9534-2, 2012.
Gholz, H. L., Wedin, D. A., Smitherman, S. M., Harmon, M. E., and Parton,
W. J.: Long-term dynamics of pine and hardwood litter in contrasting
environments: toward a global model of decomposition, Glob. Change Biol., 6, 751–765,
https://doi.org/10.1046/j.1365-2486.2000.00349.x, 2000.
Grandy, A. S. and Neff, J. C.: Molecular C dynamics downstream: The
biochemical decomposition sequence and its impact on soil organic matter
structure and function, Sci. Total Environ., 404, 297–307,
https://doi.org/10.1016/j.scitotenv.2007.11.013, 2008.
Harden, J. W., Hugelius, G., Ahlström, A., Blankinship, J. C.,
Bond-Lamberty, B., Lawrence, C. R., Loisel, J., Malhotra, A., Jackson, R.
B., Ogle, S., Phillips, C., Ryals, R., Todd-Brown, K., Vargas, R., Vergara,
S. E., Cotrufo, M. F., Keiluweit, M., Heckman, K. A., Crow, S. E., Silver,
W. L., DeLonge, M., and Nave, L. E.: Networking our science to characterize
the state, vulnerabilities, and management opportunities of soil organic
matter, Glob. Change Biol., 24, e705–e718, https://doi.org/10.1111/gcb.13896, 2018.
Harmon, M.: LTER Intersite Fine Litter Decomposition Experiment (LIDET), 1990–2002, Long-Term Ecological Research. Forest Science Data Bank, Corvallis,
OR, https://doi.org/10.6073/pasta/f35f56bea52d78b6a1ecf1952b4889c5, 2013.
Hinckley, E.-L. S., Anderson, S. P., Baron, J. S., Blanken, P. D., Bonan, G.
B., Bowman, W. D., Elmendorf, S. C., Fierer, N., Fox, A. M., Goodman, K. J.,
Jones, K. D., Lombardozzi, D. L., Lunch, C. K., Neff, J. C., SanClements, M.
D., Suding, K. N., and Wieder, W. R.: Optimizing Available Network Resources
to Address Questions in Environmental Biogeochemistry, BioScience, 66, 317–326,
https://doi.org/10.1093/biosci/biw005, 2013.
Jackson, R. B., Lajtha, K., Crow, S. E., Hugelius, G., Kramer, M. G., and
Piñeiro, G.: The Ecology of Soil Carbon: Pools, Vulnerabilities, and
Biotic and Abiotic Controls, Annu. Rev. Ecol. Evol. S., 48, 419–445,
https://doi.org/10.1146/annurev-ecolsys-112414-054234, 2017.
Kallenbach, C. M., Frey, S. D., and Grandy, A. S.: Direct evidence for
microbial-derived soil organic matter formation and its ecophysiological
controls, Nat. Commun., 7, 13630, https://doi.org/10.1038/ncomms13630, 2016.
Kyker-Snowman, E., Wieder, W. R., Frey, S. D., and Grandy, A. S.: Stoichiometrically coupled carbon and nitrogen cycling in the MIcrobial-MIneral Carbon Stabilization model version 1.0 (MIMICS-CN v1.0), Geosci. Model Dev., 13, 4413–4434, https://doi.org/10.5194/gmd-13-4413-2020, 2020.
Lajtha, K., Bowden, R. D., Crow, S., Fekete, I., Kotroczó, Z., Plante, A., Simpson, M.
J., and Nadelhoffer, K. J.: The detrital input and removal treatment
(DIRT) network: Insights into soil carbon stabilization, Sci. Total Environ., 640–641, 1112–1120, https://doi.org/10.1016/j.scitotenv.2018.05.388, 2018.
Lawrence, C. R., Beem-Miller, J., Hoyt, A. M., Monroe, G., Sierra, C. A., Stoner, S., Heckman, K., Blankinship, J. C., Crow, S. E., McNicol, G., Trumbore, S., Levine, P. A., Vindušková, O., Todd-Brown, K., Rasmussen, C., Hicks Pries, C. E., Schädel, C., McFarlane, K., Doetterl, S., Hatté, C., He, Y., Treat, C., Harden, J. W., Torn, M. S., Estop-Aragonés, C., Asefaw Berhe, A., Keiluweit, M., Della Rosa Kuhnen, Á., Marin-Spiotta, E., Plante, A. F., Thompson, A., Shi, Z., Schimel, J. P., Vaughn, L. J. S., von Fromm, S. F., and Wagai, R.: An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0, Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020, 2020.
Lehmann, J. and Kleber, M.: The contentious nature of soil organic matter,
Nature, 528, 60–68, https://doi.org/10.1038/nature16069, 2015.
Luo, Y. Q., Ahlstrom, A., Allison, S. D., Batjes, N. H., Brovkin, V.,
Carvalhais, N., Chappell, A., Ciais, P., Davidson, E. A., Finzi, A. C.,
Georgiou, K., Guenet, B., Hararuk, O., Harden, J. W., He, Y. J., Hopkins,
F., Jiang, L. F., Koven, C., Jackson, R. B., Jones, C. D., Lara, M. J.,
Liang, J. Y., McGuire, A. D., Parton, W., Peng, C. H., Randerson, J. T.,
Salazar, A., Sierra, C. A., Smith, M. J., Tian, H. Q., Todd-Brown, K. E. O.,
Torn, M., van Groenigen, K. J., Wang, Y. P., West, T. O., Wei, Y. X.,
Wieder, W. R., Xia, J. Y., Xu, X., Xu, X. F., and Zhou, T.: Toward more
realistic projections of soil carbon dynamics by Earth system models,
Global Biogeochem. Cy., 30, 40–56, https://doi.org/10.1002/2015gb005239, 2016.
Malhotra, A., Todd-Brown, K., Nave, L. E., Batjes, N. H., Holmquist, J. R.,
Hoyt, A. M., Iversen, C. M., Jackson, R. B., Lajtha, K., Lawrence, C.,
Vinduskova, O., Wieder, W., Williams, M., Hugelius, G., and Harden, J.: The
landscape of soil carbon data: emerging questions, synergies and databases,
Prog. Phys. Geog., 43, 707–719, https://doi.org/10.1177/0309133319873309, 2019.
Miltner, A., Bombach, P., Schmidt-Brücken, B., and Kästner, M.: SOM
genesis: microbial biomass as a significant source, Biogeochemistry, 111, 41–55, https://doi.org/10.1007/s10533-011-9658-z, 2012.
Nave, L., Johnson, K., van Ingen, C., Agarwal, D., Humphrey,
M., and Beekwilder, N.: International Soil Carbon Network (ISCN)
Database v3-1, https://doi.org/10.17040/ISCN/1305039, 2016.
Parton, W., Silver, W. L., Burke, I. C., Grassens, L., Harmon, M. E.,
Currie, W. S., King, J. Y., Adair, E. C., Brandt, L. A., Hart, S. C., and
Fasth, B.: Global-scale similarities in nitrogen release patterns during
long-term decomposition, Science, 315, 361–364, https://doi.org/10.1126/science.1134853, 2007.
R Core Team: A language and environment for statistical computing. R
Foundation for Statistical Computing, Vienna, Austria, available at:
https://www.R-project.org/ (last access: 28 April 2021). 2020.
Richter, D. D., Billings, S. A., Groffman, P. M., Kelly, E. F., Lohse, K. A., McDowell, W. H., White, T. S., Anderson, S., Baldocchi, D. D., Banwart, S., Brantley, S., Braun, J. J., Brecheisen, Z. S., Cook, C. W., Hartnett, H. E., Hobbie, S. E., Gaillardet, J., Jobbagy, E., Jungkunst, H. F., Kazanski, C. E., Krishnaswamy, J., Markewitz, D., O'Neill, K., Riebe, C. S., Schroeder, P., Siebe, C., Silver, W. L., Thompson, A., Verhoef, A., and Zhang, G.: Ideas and perspectives: Strengthening the biogeosciences in environmental research networks, Biogeosciences, 15, 4815–4832, https://doi.org/10.5194/bg-15-4815-2018, 2018.
Schimel, J. P. and Schaeffer, S. M.: Microbial control over carbon cycling
in soil, Front. Microbiol., 3, 348, https://doi.org/10.3389/fmicb.2012.00348, 2012.
Schmidt, M. W., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G.,
Janssens, I. A., Kleber, M., Kogel-Knabner, I., Lehmann, J., Manning, D. A.,
Nannipieri, P., Rasse, D. P., Weiner, S., and Trumbore, S. E.: Persistence
of soil organic matter as an ecosystem property, Nature, 478, 49–56,
https://doi.org/10.1038/nature10386, 2011.
Sulman, B. N., Moore, J. A. M., Abramoff, R., Averill, C., Kivlin, S.,
Georgiou, K., Sridhar, B., Hartman, M. D., Wang, G. S., Wieder, W. R.,
Bradford, M. A., Luo, Y. Q., Mayes, M. A., Morrison, E., Riley, W. J.,
Salazar, A., Schimel, J. P., Tang, J. Y., and Classen, A. T.: Multiple
models and experiments underscore large uncertainty in soil carbon dynamics,
Biogeochemistry, 141, 109–123, https://doi.org/10.1007/s10533-018-0509-z, 2018.
Sulman, B. N., Phillips, R. P., Oishi, A. C., Shevliakova, E., and
Pacala, S. W.: Microbe-driven turnover offsets mineral-mediated storage of soil carbon under elevated CO2, Nat. Climate Change, 4, 1099–1102, https://doi.org/10.1038/nclimate2436, 2014.
Weintraub, S. R., Flores, A. N., Wieder, W. R., Sihi, D., Cagnarini, C.,
Gonçalves, D. R. P., Young, M. H., Li, L., Olshansky, Y., Baatz, R.,
Sullivan, P. L., and Groffman, P. M.: Leveraging Environmental Research and
Observation Networks to Advance Soil Carbon Science, J. Geophys. Res.-Biogeo., 124, 1047–1055,
https://doi.org/10.1029/2018jg004956, 2019.
Wieder, W. R., Allison, S. D., Davidson, E. A., Georgiou, K., Hararuk, O.,
He, Y., Hopkins, F., Luo, Y., Smith, M. J., Sulman, B., Todd-Brown, K.,
Wang, Y.-P., Xia, J., and Xu, X.: Explicitly representing soil microbial
processes in Earth system models, Global Biogeochem. Cy., 29, 1782–1800, https://doi.org/10.1002/2015gb005188, 2015.
Wieder, W. R., Grandy, A. S., Kallenbach, C. M., Taylor, P. G., and Bonan, G. B.: Representing life in the Earth system with soil microbial functional traits in the MIMICS model, Geosci. Model Dev., 8, 1789–1808, https://doi.org/10.5194/gmd-8-1789-2015, 2015.
Wieder, W. R., Pierson, D., Earl, S. R., Lajtha, K., Baer, S., Ballantyne, F., Berhe, A. A., Billings, S., Brigham, L. M., Chacon, S. S., Fraterrigo, J., Frey, S. D., Georgiou, K., de Graaff, M., Grandy, A. S., Hartman, M. D., Hobbie, S. E., Johnson, C., Kaye, J., Snowman, E., Litvak, M. E., Mack, M. C., Malhotra, A., Moore, J. A. M., Nadelhoffer, K., Rasmussen, C., Silver, W. L., Sulman, B. N., Walker, X., and Weintraub, S.: SOils DAta Harmonization database (SoDaH): an open-source synthesis of soil data from research networks ver 1, Environmental Data Initiative,
https://doi.org/10.6073/pasta/9733f6b6d2ffd12bf126dc36a763e0b4,
2020.
Zak, D. R., Tilman, D., Parmenter, R. P., Rice, C. W., Fisher, F. M., Vose,
J., Milchunas, D., and Martin, C. W.: Plant production and soil
microorganisms in late-successional ecosystems: A continental-scale study,
Ecology, 75, 2333–2347, https://doi.org/10.2307/1940888, 1994.
Zhang, H., Goll, D. S., Wang, Y.-P., Ciais, P., Wieder, W. R., Abramoff, R.,
Huang, Y., Guenet, B., Prescher, A.-K., Viscarra Rossel, R. A., Barré,
P., Chenu, C., Zhou, G., and Tang, X.: Microbial dynamics and soil
physicochemical properties explain large-scale variations in soil organic
carbon, Glob. Change Biol., 26, 2668–2685, https://doi.org/10.1111/gcb.14994, 2020.
Short summary
Data collected from research networks present opportunities to test theories and develop models about factors responsible for the long-term persistence and vulnerability of soil organic matter (SOM). Here we present the SOils DAta Harmonization database (SoDaH), a flexible database designed to harmonize diverse SOM datasets from multiple research networks.
Data collected from research networks present opportunities to test theories and develop models...
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