Articles | Volume 19, issue 14
https://doi.org/10.5194/bg-19-3505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-3505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential
Katherine E. O. Todd-Brown
CORRESPONDING AUTHOR
Department of Environmental Engineering Science, University of Florida, Gainesville, Florida, USA
Rose Z. Abramoff
Laboratoire des Sciences du Climat et de l’Environnement, Gif-sur-Yvette, France
Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Jeffrey Beem-Miller
Max Planck Institute for Biogeochemistry, Jena, Germany
Hava K. Blair
Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
Stevan Earl
Global Institute of Sustainability and Innovation, Arizona State University, Tempe, AZ, USA
Kristen J. Frederick
Department of Environmental Engineering Science, University of Florida, Gainesville, Florida, USA
Daniel R. Fuka
Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Mario Guevara Santamaria
Centro de Geociencias, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, Mexico
Jennifer W. Harden
Department of Earth System Science, Stanford University, Stanford, CA, USA
Katherine Heckman
Northern Research Station, USDA Forest Service, Houghton, MI, USA
Lillian J. Heran
Department of Environmental Engineering Science, University of Florida, Gainesville, Florida, USA
James R. Holmquist
Smithsonian Environmental Research Center, Edgewater, Maryland, USA
Alison M. Hoyt
Department of Earth System Science, Stanford University, Stanford, CA, USA
David H. Klinges
School of Natural Resources and Environment, University of Florida, Gainesville, Florida, USA
David S. LeBauer
Arizona Experiment Station, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ, USA
Avni Malhotra
Department of Earth System Science, Stanford University, Stanford, CA, USA
Department of Geography, University of Zürich, Zürich, Switzerland
Shelby C. McClelland
Department of Soil and Crop Sciences, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
Lucas E. Nave
Biological Station and Dept. of Ecology and Evolutionary Biology, University of Michigan, Pellston, MI, USA
Katherine S. Rocci
Natural Resource Ecology Laboratory, Department of Soil and Crop Sciences, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
Sean M. Schaeffer
Biosystems Engineering and Soil Science Department, University of Tennessee, Knoxville, TN, USA
Shane Stoner
Max Planck Institute for Biogeochemistry, Jena, Germany
Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
Natasja van Gestel
Department of Biological Sciences & TTU Climate Center, Texas Tech University, Lubbock, Texas, USA
Sophie F. von Fromm
Max Planck Institute for Biogeochemistry, Jena, Germany
Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
Marisa L. Younger
Department of Environmental Engineering Science, University of Florida, Gainesville, Florida, USA
Related authors
J. Robert Logan, Kathe E. Todd-Brown, Kathryn M. Jacobson, Peter J. Jacobson, Roland Vogt, and Sarah E. Evans
Biogeosciences, 19, 4129–4146, https://doi.org/10.5194/bg-19-4129-2022, https://doi.org/10.5194/bg-19-4129-2022, 2022
Short summary
Short summary
Understanding how plants decompose is important for understanding where the atmospheric CO2 they absorb ends up after they die. In forests, decomposition is controlled by rain but not in deserts. We performed a 2.5-year study in one of the driest places on earth (the Namib desert in southern Africa) and found that fog and dew, not rainfall, closely controlled how quickly plants decompose. We also created a model to help predict decomposition in drylands with lots of fog and/or dew.
This article is included in the Encyclopedia of Geosciences
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020, https://doi.org/10.5194/essd-12-61-2020, 2020
Short summary
Short summary
The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or
This article is included in the Encyclopedia of Geosciences
whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
Katherine Todd-Brown, Bin Zheng, and Thomas W. Crowther
Biogeosciences, 15, 3659–3671, https://doi.org/10.5194/bg-15-3659-2018, https://doi.org/10.5194/bg-15-3659-2018, 2018
Short summary
Short summary
The temperature sensitivity of soil carbon loss is a critical parameter for projecting future CO2. Isolating soil temperature response in the field is challenging due to difficulties isolating root and microbial respiration. We use a database of direct-warming soil carbon changes to generate a new global temperature sensitivity. Incorporating this into Earth system models reduces projected soil carbon. But it also shows that variation due to this parameter is as high as all other causes.
This article is included in the Encyclopedia of Geosciences
Yiqi Luo, Zheng Shi, Xingjie Lu, Jianyang Xia, Junyi Liang, Jiang Jiang, Ying Wang, Matthew J. Smith, Lifen Jiang, Anders Ahlström, Benito Chen, Oleksandra Hararuk, Alan Hastings, Forrest Hoffman, Belinda Medlyn, Shuli Niu, Martin Rasmussen, Katherine Todd-Brown, and Ying-Ping Wang
Biogeosciences, 14, 145–161, https://doi.org/10.5194/bg-14-145-2017, https://doi.org/10.5194/bg-14-145-2017, 2017
Short summary
Short summary
Climate change is strongly regulated by land carbon cycle. However, we lack the ability to predict future land carbon sequestration. Here, we develop a novel framework for understanding what determines the direction and rate of future change in land carbon storage. The framework offers a suite of new approaches to revolutionize land carbon model evaluation and improvement.
This article is included in the Encyclopedia of Geosciences
Y. P. Wang, J. Jiang, B. Chen-Charpentier, F. B. Agusto, A. Hastings, F. Hoffman, M. Rasmussen, M. J. Smith, K. Todd-Brown, Y. Wang, X. Xu, and Y. Q. Luo
Biogeosciences, 13, 887–902, https://doi.org/10.5194/bg-13-887-2016, https://doi.org/10.5194/bg-13-887-2016, 2016
Short summary
Short summary
Comparing two nonlinear microbial models, we found that,
in response to warming, soil C decreases in one model but can increase or decrease in the other model, and sensitivity of priming response to carbon input increases with soil T in one model but decreases in the other model
Significance: these differences in the responses can be used to discern which model is more realistic, which will improve our understanding of the significance of soil microbial processes in the terrestrial C cycle.
This article is included in the Encyclopedia of Geosciences
K. E. O. Todd-Brown, J. T. Randerson, F. Hopkins, V. Arora, T. Hajima, C. Jones, E. Shevliakova, J. Tjiputra, E. Volodin, T. Wu, Q. Zhang, and S. D. Allison
Biogeosciences, 11, 2341–2356, https://doi.org/10.5194/bg-11-2341-2014, https://doi.org/10.5194/bg-11-2341-2014, 2014
K. E. O. Todd-Brown, J. T. Randerson, W. M. Post, F. M. Hoffman, C. Tarnocai, E. A. G. Schuur, and S. D. Allison
Biogeosciences, 10, 1717–1736, https://doi.org/10.5194/bg-10-1717-2013, https://doi.org/10.5194/bg-10-1717-2013, 2013
Amey Tilak, Alina Premrov, Ruchita Ingle, Nigel Roulet, Benjamin R. K. Runkle, Matthew Saunders, Avni Malhotra, and Kenneth Byrne
EGUsphere, https://doi.org/10.5194/egusphere-2024-3852, https://doi.org/10.5194/egusphere-2024-3852, 2024
Short summary
Short summary
For the future model users, 16 peatland and wetland models reviewed to identify individual model operational scale (spatial and temporal), stabilization timeframes of different carbon pools, model specific advantages and limitations, common and specific model driving inputs, critical inputs of individual models impacting CH4 plant mediated, CH4 diffusion and CH4 ebullition. Finally, we qualitatively ranked the process representations in each model for CH4 production, oxidation and transport.
This article is included in the Encyclopedia of Geosciences
Pilar Durante, Juan Miguel Requena-Mullor, Rodrigo Vargas, Mario Guevara, Domingo Alcaraz-Segura, and Cecilio Oyonarte
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-431, https://doi.org/10.5194/essd-2024-431, 2024
Preprint under review for ESSD
Short summary
Short summary
Human activities have disrupted the global carbon cycle, increasing CO2 levels. Soils are the largest carbon stores on land, making it essential to understand how much carbon they hold to fight climate change. Our study improved estimates of soil carbon in peninsular Spain by integrating historical soil data and using machine-learning methods to create detailed maps of carbon content. These maps will help manage soil carbon better and support efforts to track carbon emissions globally.
This article is included in the Encyclopedia of Geosciences
Boris Ťupek, Aleksi Lehtonen, Alla Yurova, Rose Abramoff, Bertrand Guenet, Elisa Bruni, Samuli Launiainen, Mikko Peltoniemi, Shoji Hashimoto, Xianglin Tian, Juha Heikkinen, Kari Minkkinen, and Raisa Mäkipää
Geosci. Model Dev., 17, 5349–5367, https://doi.org/10.5194/gmd-17-5349-2024, https://doi.org/10.5194/gmd-17-5349-2024, 2024
Short summary
Short summary
Updating the Yasso07 soil C model's dependency on decomposition with a hump-shaped Ricker moisture function improved modelled soil organic C (SOC) stocks in a catena of mineral and organic soils in boreal forest. The Ricker function, set to peak at a rate of 1 and calibrated against SOC and CO2 data using a Bayesian approach, showed a maximum in well-drained soils. Using SOC and CO2 data together with the moisture only from the topsoil humus was crucial for accurate model estimates.
This article is included in the Encyclopedia of Geosciences
Alexandra L. Hedgpeth, Alison M. Hoyt, Kyle Cavanaugh, Karis J. McFarlane, and Daniela F. Cusack
EGUsphere, https://doi.org/10.5194/egusphere-2024-1279, https://doi.org/10.5194/egusphere-2024-1279, 2024
Short summary
Short summary
Tropical peatlands store ancient carbon and have been identified as not only vulnerable to future climate change but take a long time to recover after disturbance. It is unknown if these gases are produced from decomposition of thousand-year-old peat. Radiocarbon dating shows emitted gases are young, indicating surface carbon, not old peat, drives emissions. Preserving these ecosystems can trap old carbon, mitigating climate change.
This article is included in the Encyclopedia of Geosciences
Sergio Díaz-Guadarrama, Viviana M. Varón-Ramírez, Iván Lizarazo, Mario Guevara, Marcos Angelini, Gustavo A. Araujo-Carrillo, Jainer Argeñal, Daphne Armas, Rafael A. Balta, Adriana Bolivar, Nelson Bustamante, Ricardo O. Dart, Martin Dell Acqua, Arnulfo Encina, Hernán Figueredo, Fernando Fontes, Joan S. Gutiérrez-Díaz, Wilmer Jiménez, Raúl S. Lavado, Jesús F. Mansilla-Baca, Maria de Lourdes Mendonça-Santos, Lucas M. Moretti, Iván D. Muñoz, Carolina Olivera, Guillermo Olmedo, Christian Omuto, Sol Ortiz, Carla Pascale, Marco Pfeiffer, Iván A. Ramos, Danny Ríos, Rafael Rivera, Lady M. Rodriguez, Darío M. Rodríguez, Albán Rosales, Kenset Rosales, Guillermo Schulz, Víctor Sevilla, Leonardo M. Tenti, Ronald Vargas, Gustavo M. Vasques, Yusuf Yigini, and Yolanda Rubiano
Earth Syst. Sci. Data, 16, 1229–1246, https://doi.org/10.5194/essd-16-1229-2024, https://doi.org/10.5194/essd-16-1229-2024, 2024
Short summary
Short summary
In this work, the Latin America and Caribbean Soil Information System (SISLAC) database (https://54.229.242.119/sislac/es) was revised to generate an improved version of the data. Rules for data enhancement were defined. In addition, other datasets available in the region were included. Subsequently, through a principal component analysis (PCA), the main soil characteristics for the region were analyzed. We hope this dataset can help mitigate problems such as food security and global warming.
This article is included in the Encyclopedia of Geosciences
Sreejata Bandopadhyay, Marie English, Marife B. Anunciado, Mallari Starrett, Jialin Hu, José E. Liquet y González, Douglas G. Hayes, Sean M. Schaeffer, and Jennifer M. DeBruyn
SOIL, 9, 499–516, https://doi.org/10.5194/soil-9-499-2023, https://doi.org/10.5194/soil-9-499-2023, 2023
Short summary
Short summary
We added organic and inorganic nitrogen amendments to two soil types in a laboratory incubation study in order to understand how that would impact biodegradable plastic mulch (BDM) decomposition. We found that nitrogen amendments, particularly urea and inorganic nitrogen, suppressed BDM degradation in both soil types. However, we found limited impact of BDM addition on soil nitrification, suggesting that overall microbial processes were not compromised due to the addition of BDMs.
This article is included in the Encyclopedia of Geosciences
Shane W. Stoner, Marion Schrumpf, Alison Hoyt, Carlos A. Sierra, Sebastian Doetterl, Valier Galy, and Susan Trumbore
Biogeosciences, 20, 3151–3163, https://doi.org/10.5194/bg-20-3151-2023, https://doi.org/10.5194/bg-20-3151-2023, 2023
Short summary
Short summary
Soils store more carbon (C) than any other terrestrial C reservoir, but the processes that control how much C stays in soil, and for how long, are very complex. Here, we used a recent method that involves heating soil in the lab to measure the range of C ages in soil. We found that most C in soil is decades to centuries old, while some stays for much shorter times (days to months), and some is thousands of years old. Such detail helps us to estimate how soil C may react to changing climate.
This article is included in the Encyclopedia of Geosciences
Daphne Armas, Mario Guevara, Fernando Bezares, Rodrigo Vargas, Pilar Durante, Víctor Osorio, Wilmer Jiménez, and Cecilio Oyonarte
Earth Syst. Sci. Data, 15, 431–445, https://doi.org/10.5194/essd-15-431-2023, https://doi.org/10.5194/essd-15-431-2023, 2023
Short summary
Short summary
The global need for updated soil datasets has increased. Our main objective was to synthesize and harmonize soil profile information collected by two different projects in Ecuador between 2009 and 2015.The main result was the development of the Harmonized Soil Database of Ecuador (HESD) that includes information from 13 542 soil profiles with over 51 713 measured soil horizons, including 92 different edaphic variables, and follows international standards for archiving and sharing soil data.
This article is included in the Encyclopedia of Geosciences
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
Short summary
Short summary
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.
This article is included in the Encyclopedia of Geosciences
Jeffrey Prescott Beem-Miller, Craig Rasmussen, Alison May Hoyt, Marion Schrumpf, Georg Guggenberger, and Susan Trumbore
EGUsphere, https://doi.org/10.5194/egusphere-2022-1083, https://doi.org/10.5194/egusphere-2022-1083, 2022
Preprint withdrawn
Short summary
Short summary
We compared the age of persistent soil organic matter as well as active emissions of carbon dioxide from soils across a gradient of climate and geology. We found that clay minerals are more important than mean annual temperature for both persistent and actively cycling soil carbon, and that they may attenuate the sensitivity of soil organic matter decomposition to temperature. Accounting for geology and soil development could therefore improve estimates of soil carbon stocks and changes.
This article is included in the Encyclopedia of Geosciences
Viviana Marcela Varón-Ramírez, Gustavo Alfonso Araujo-Carrillo, and Mario Antonio Guevara Santamaría
Earth Syst. Sci. Data, 14, 4719–4741, https://doi.org/10.5194/essd-14-4719-2022, https://doi.org/10.5194/essd-14-4719-2022, 2022
Short summary
Short summary
These are the first national soil texture maps obtained via digital soil mapping. We built clay, sand, and silt maps using spatial assembling with the best possible predictions at different depths. Also, we identified the better model for each pixel. This work was done to address the lack of soil texture maps in Colombia, and it can provide soil information for water-related applications, ecosystem services, and agricultural and crop modeling.
This article is included in the Encyclopedia of Geosciences
J. Robert Logan, Kathe E. Todd-Brown, Kathryn M. Jacobson, Peter J. Jacobson, Roland Vogt, and Sarah E. Evans
Biogeosciences, 19, 4129–4146, https://doi.org/10.5194/bg-19-4129-2022, https://doi.org/10.5194/bg-19-4129-2022, 2022
Short summary
Short summary
Understanding how plants decompose is important for understanding where the atmospheric CO2 they absorb ends up after they die. In forests, decomposition is controlled by rain but not in deserts. We performed a 2.5-year study in one of the driest places on earth (the Namib desert in southern Africa) and found that fog and dew, not rainfall, closely controlled how quickly plants decompose. We also created a model to help predict decomposition in drylands with lots of fog and/or dew.
This article is included in the Encyclopedia of Geosciences
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
Short summary
Short summary
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.
This article is included in the Encyclopedia of Geosciences
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
Short summary
Short summary
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.
This article is included in the Encyclopedia of Geosciences
Yuanyuan Huang, Phillipe Ciais, Maurizio Santoro, David Makowski, Jerome Chave, Dmitry Schepaschenko, Rose Z. Abramoff, Daniel S. Goll, Hui Yang, Ye Chen, Wei Wei, and Shilong Piao
Earth Syst. Sci. Data, 13, 4263–4274, https://doi.org/10.5194/essd-13-4263-2021, https://doi.org/10.5194/essd-13-4263-2021, 2021
Short summary
Short summary
Roots play a key role in our Earth system. Here we combine 10 307 field measurements of forest root biomass worldwide with global observations of forest structure, climatic conditions, topography, land management and soil characteristics to derive a spatially explicit global high-resolution (~ 1 km) root biomass dataset. In total, 142 ± 25 (95 % CI) Pg of live dry-matter biomass is stored belowground, representing a global average root : shoot biomass ratio of 0.25 ± 0.10.
This article is included in the Encyclopedia of Geosciences
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
Short summary
Short summary
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.
This article is included in the Encyclopedia of Geosciences
Sophie F. von Fromm, Alison M. Hoyt, Markus Lange, Gifty E. Acquah, Ermias Aynekulu, Asmeret Asefaw Berhe, Stephan M. Haefele, Steve P. McGrath, Keith D. Shepherd, Andrew M. Sila, Johan Six, Erick K. Towett, Susan E. Trumbore, Tor-G. Vågen, Elvis Weullow, Leigh A. Winowiecki, and Sebastian Doetterl
SOIL, 7, 305–332, https://doi.org/10.5194/soil-7-305-2021, https://doi.org/10.5194/soil-7-305-2021, 2021
Short summary
Short summary
We investigated various soil and climate properties that influence soil organic carbon (SOC) concentrations in sub-Saharan Africa. Our findings indicate that climate and geochemistry are equally important for explaining SOC variations. The key SOC-controlling factors are broadly similar to those for temperate regions, despite differences in soil development history between the two regions.
This article is included in the Encyclopedia of Geosciences
William R. Wieder, Derek Pierson, Stevan Earl, Kate Lajtha, Sara G. Baer, Ford Ballantyne, Asmeret Asefaw Berhe, Sharon A. Billings, Laurel M. Brigham, Stephany S. Chacon, Jennifer Fraterrigo, Serita D. Frey, Katerina Georgiou, Marie-Anne de Graaff, A. Stuart Grandy, Melannie D. Hartman, Sarah E. Hobbie, Chris Johnson, Jason Kaye, Emily Kyker-Snowman, Marcy E. Litvak, Michelle C. Mack, Avni Malhotra, Jessica A. M. Moore, Knute Nadelhoffer, Craig Rasmussen, Whendee L. Silver, Benjamin N. Sulman, Xanthe Walker, and Samantha Weintraub
Earth Syst. Sci. Data, 13, 1843–1854, https://doi.org/10.5194/essd-13-1843-2021, https://doi.org/10.5194/essd-13-1843-2021, 2021
Short summary
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.
This article is included in the Encyclopedia of Geosciences
Kristen Manies, Mark Waldrop, and Jennifer Harden
Earth Syst. Sci. Data, 12, 1745–1757, https://doi.org/10.5194/essd-12-1745-2020, https://doi.org/10.5194/essd-12-1745-2020, 2020
Short summary
Short summary
Boreal ecosystems are unique in that their mineral soil is covered by what can be quite thick layers of organic soil. Layers within this organic soil have different bulk densities, carbon composition, and nitrogen composition. We summarize these properties by soil layer and examine if and how they are affected by soil drainage and stand age. These values can be used to initialize and validate models as well as gap fill when these important soil properties are not measured.
This article is included in the Encyclopedia of Geosciences
M. Maimaitijiang, V. Sagan, H. Erkbol, J. Adrian, M. Newcomb, D. LeBauer, D. Pauli, N. Shakoor, and T. C. Mockler
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 489–496, https://doi.org/10.5194/isprs-annals-V-3-2020-489-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-489-2020, 2020
Christina Schädel, Jeffrey Beem-Miller, Mina Aziz Rad, Susan E. Crow, Caitlin E. Hicks Pries, Jessica Ernakovich, Alison M. Hoyt, Alain Plante, Shane Stoner, Claire C. Treat, and Carlos A. Sierra
Earth Syst. Sci. Data, 12, 1511–1524, https://doi.org/10.5194/essd-12-1511-2020, https://doi.org/10.5194/essd-12-1511-2020, 2020
Short summary
Short summary
Carbon loss to the atmosphere via microbial decomposition is often assessed by laboratory soil incubation studies that measure greenhouse gases released from soils under controlled conditions. Here, we introduce the Soil Incubation Database (SIDb) version 1.0, a compilation of time series data from incubations, structured into a new, publicly available, open-access database of carbon dioxide and methane flux. We also provide guidance for database entry and the required variables.
This article is included in the Encyclopedia of Geosciences
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020, https://doi.org/10.5194/essd-12-61-2020, 2020
Short summary
Short summary
The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or
This article is included in the Encyclopedia of Geosciences
whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
Jeroen H. T. Zethof, Martin Leue, Cordula Vogel, Shane W. Stoner, and Karsten Kalbitz
SOIL, 5, 383–398, https://doi.org/10.5194/soil-5-383-2019, https://doi.org/10.5194/soil-5-383-2019, 2019
Short summary
Short summary
A widely overlooked source of carbon (C) in the soil environment is organic C of geogenic origin, e.g. graphite. Appropriate methods are not available to quantify graphite and to differentiate it from other organic and inorganic C sources in soils. Therefore, we examined Fourier transform infrared spectroscopy, thermogravimetric analysis and the smart combustion method for their ability to identify and quantify graphitic C in soils. The smart combustion method showed the most promising results.
This article is included in the Encyclopedia of Geosciences
Sarah W. Keenan, Sean M. Schaeffer, and Jennifer M. DeBruyn
Biogeosciences, 16, 3929–3939, https://doi.org/10.5194/bg-16-3929-2019, https://doi.org/10.5194/bg-16-3929-2019, 2019
Short summary
Short summary
Decaying animals perturb soil biogeochemical cycles. Stable δ15N composition, which reflects the sum of all biogeochemical processes, increases during decay and persists for years. Enrichment following beaver decay persisted after at least 1 year, and was evident up to 10 cm depth and 60 cm from the decaying animals, beyond where soils were visibly impacted by decomposition. Nutrients sourced from decaying animals represent an integral and long–lived component of nitrogen cycling in soils.
This article is included in the Encyclopedia of Geosciences
Jörg Matschullat, Roberval Monteiro Bezerra de Lima, Sophie F. von Fromm, Solveig Pospiech, Andrea M. Ramos, Gilvan Coimbra Martins, and Katharina Lenhart
SOIL Discuss., https://doi.org/10.5194/soil-2019-16, https://doi.org/10.5194/soil-2019-16, 2019
Manuscript not accepted for further review
Short summary
Short summary
Against common understanding, Amazon basin upland soils contain average carbon, nitrogen and sulfur concentrations similar to, e.g., European soils. The same applies for average C / N ratios. Post-forest land (e.g., pasture land, plantations) show up to 20 % of carbon and nitrogen losses after deforestation. Distinct seasonal dynamics are visible for the generally low pH-values and very low electrical conductivities in soil solution – a likely driver of seasonal element mobility.
This article is included in the Encyclopedia of Geosciences
Jennifer W. Harden, Jonathan A. O'Donnell, Katherine A. Heckman, Benjamin N. Sulman, Charles D. Koven, Chien-Lu Ping, and Gary J. Michaelson
SOIL Discuss., https://doi.org/10.5194/soil-2018-41, https://doi.org/10.5194/soil-2018-41, 2019
Revised manuscript not accepted
Short summary
Short summary
We examined changes in soil carbon (C) associated with permafrost thaw, warming, and ecosystem shifts using a space-for-time study. Soil C turnover was estimated for soil C fractions using soil C and radiocarbon data. Observations informed a simple model to track soil C change over time. Both losses and gains of soil C occur in the profile due to shifts in C among density-separated fractions. Thawing initially resulted in C gains to mineral soil and eventually C losses as warming persists.
This article is included in the Encyclopedia of Geosciences
Michael M. Loranty, Benjamin W. Abbott, Daan Blok, Thomas A. Douglas, Howard E. Epstein, Bruce C. Forbes, Benjamin M. Jones, Alexander L. Kholodov, Heather Kropp, Avni Malhotra, Steven D. Mamet, Isla H. Myers-Smith, Susan M. Natali, Jonathan A. O'Donnell, Gareth K. Phoenix, Adrian V. Rocha, Oliver Sonnentag, Ken D. Tape, and Donald A. Walker
Biogeosciences, 15, 5287–5313, https://doi.org/10.5194/bg-15-5287-2018, https://doi.org/10.5194/bg-15-5287-2018, 2018
Short summary
Short summary
Vegetation and soils strongly influence ground temperature in permafrost ecosystems across the Arctic and sub-Arctic. These effects will cause differences rates of permafrost thaw related to the distribution of tundra and boreal forests. As the distribution of forests and tundra change, the effects of climate change on permafrost will also change. We review the ecosystem processes that will influence permafrost thaw and outline how they will feed back to climate warming.
This article is included in the Encyclopedia of Geosciences
Katherine Todd-Brown, Bin Zheng, and Thomas W. Crowther
Biogeosciences, 15, 3659–3671, https://doi.org/10.5194/bg-15-3659-2018, https://doi.org/10.5194/bg-15-3659-2018, 2018
Short summary
Short summary
The temperature sensitivity of soil carbon loss is a critical parameter for projecting future CO2. Isolating soil temperature response in the field is challenging due to difficulties isolating root and microbial respiration. We use a database of direct-warming soil carbon changes to generate a new global temperature sensitivity. Incorporating this into Earth system models reduces projected soil carbon. But it also shows that variation due to this parameter is as high as all other causes.
This article is included in the Encyclopedia of Geosciences
Yiqi Luo, Zheng Shi, Xingjie Lu, Jianyang Xia, Junyi Liang, Jiang Jiang, Ying Wang, Matthew J. Smith, Lifen Jiang, Anders Ahlström, Benito Chen, Oleksandra Hararuk, Alan Hastings, Forrest Hoffman, Belinda Medlyn, Shuli Niu, Martin Rasmussen, Katherine Todd-Brown, and Ying-Ping Wang
Biogeosciences, 14, 145–161, https://doi.org/10.5194/bg-14-145-2017, https://doi.org/10.5194/bg-14-145-2017, 2017
Short summary
Short summary
Climate change is strongly regulated by land carbon cycle. However, we lack the ability to predict future land carbon sequestration. Here, we develop a novel framework for understanding what determines the direction and rate of future change in land carbon storage. The framework offers a suite of new approaches to revolutionize land carbon model evaluation and improvement.
This article is included in the Encyclopedia of Geosciences
Y. P. Wang, J. Jiang, B. Chen-Charpentier, F. B. Agusto, A. Hastings, F. Hoffman, M. Rasmussen, M. J. Smith, K. Todd-Brown, Y. Wang, X. Xu, and Y. Q. Luo
Biogeosciences, 13, 887–902, https://doi.org/10.5194/bg-13-887-2016, https://doi.org/10.5194/bg-13-887-2016, 2016
Short summary
Short summary
Comparing two nonlinear microbial models, we found that,
in response to warming, soil C decreases in one model but can increase or decrease in the other model, and sensitivity of priming response to carbon input increases with soil T in one model but decreases in the other model
Significance: these differences in the responses can be used to discern which model is more realistic, which will improve our understanding of the significance of soil microbial processes in the terrestrial C cycle.
This article is included in the Encyclopedia of Geosciences
A. Malhotra and N. T. Roulet
Biogeosciences, 12, 3119–3130, https://doi.org/10.5194/bg-12-3119-2015, https://doi.org/10.5194/bg-12-3119-2015, 2015
Short summary
Short summary
We found that the dominant abiotic and biotic correlates of CO2 and CH4 fluxes change in strength and interactions as permafrost thaw progresses in a sub-arctic peatland. Our results emphasize the importance of incorporating transitional stages of thaw in landscape-level C budgets and highlight that end-member thaw stages do not adequately describe the variability in structure-function relationships present along a thaw gradient.
This article is included in the Encyclopedia of Geosciences
S. Jagadamma, M. A. Mayes, J. M. Steinweg, and S. M. Schaeffer
Biogeosciences, 11, 4665–4678, https://doi.org/10.5194/bg-11-4665-2014, https://doi.org/10.5194/bg-11-4665-2014, 2014
K. E. O. Todd-Brown, J. T. Randerson, F. Hopkins, V. Arora, T. Hajima, C. Jones, E. Shevliakova, J. Tjiputra, E. Volodin, T. Wu, Q. Zhang, and S. D. Allison
Biogeosciences, 11, 2341–2356, https://doi.org/10.5194/bg-11-2341-2014, https://doi.org/10.5194/bg-11-2341-2014, 2014
K. E. O. Todd-Brown, J. T. Randerson, W. M. Post, F. M. Hoffman, C. Tarnocai, E. A. G. Schuur, and S. D. Allison
Biogeosciences, 10, 1717–1736, https://doi.org/10.5194/bg-10-1717-2013, https://doi.org/10.5194/bg-10-1717-2013, 2013
Related subject area
Biogeochemistry: Soils
Diverse organic carbon dynamics captured by radiocarbon analysis of distinct compound classes in a grassland soil
The effects of land use on soil carbon stocks in the UK
Technical note: A validated correction method to quantify organic and inorganic carbon in soils using Rock-Eval® thermal analysis
Vegetation patterns associated with nutrient availability and supply in high-elevation tropical Andean ecosystems
A new approach to continuous monitoring of carbon use efficiency and biosynthesis in soil microbes from measurement of CO2 and O2
Technical note: An open-source, low-cost system for continuous monitoring of low nitrate concentrations in soil and open water
A Synthesis of Sphagnum Litterbag Experiments: Initial Leaching Losses Bias Decomposition Rate Estimates
Long-term fertilization increases soil but not plant or microbial N in a Chihuahuan Desert grassland
Factors controlling spatiotemporal variability of soil carbon accumulation and stock estimates in a tidal salt marsh
Effect of straw retention and mineral fertilization on P speciation and P-transformation microorganisms in water extractable colloids of a Vertisol
Moisture and temperature effects on the radiocarbon signature of respired carbon dioxide to assess stability of soil carbon in the Tibetan Plateau
Non-mycorrhizal root-associated fungi increase soil C stocks and stability via diverse mechanisms
Nine years of warming and nitrogen addition in the Tibetan grassland promoted loss of soil organic carbon but did not alter the bulk change in chemical structure
Soil priming effects and involved microbial community along salt gradients
Adjustments to the Rock-Eval® thermal analysis for soil organic and inorganic carbon quantification
Ecosystem-specific patterns and drivers of global reactive iron mineral-associated organic carbon
Dark septate endophytic fungi associated with pioneer grass inhabiting volcanic deposits and their functions in promoting plant growth
Global patterns and drivers of phosphorus fractions in natural soils
Reviews and syntheses: Iron – a driver of nitrogen bioavailability in soils?
How well does ramped thermal oxidation quantify the age distribution of soil carbon? Assessing thermal stability of physically and chemically fractionated soil organic matter
Differential temperature sensitivity of intracellular metabolic processes and extracellular soil enzyme activities
Mapping soil organic carbon fractions for Australia, their stocks, and uncertainty
Technical note: The recovery rate of free particulate organic matter from soil samples is strongly affected by the method of density fractionation
Deforestation for agriculture leads to soil warming and enhanced litter decomposition in subarctic soils
Temperature sensitivity of soil organic carbon respiration along a forested elevation gradient in the Rwenzori Mountains, Uganda
The influence of elevated CO2 and soil depth on rhizosphere activity and nutrient availability in a mature Eucalyptus woodland
The paradox of assessing greenhouse gases from soils for nature-based solutions
Management-induced changes in soil organic carbon on global croplands
Pore network modeling as a new tool for determining gas diffusivity in peat
Temperature sensitivity of dark CO2 fixation in temperate forest soils
Effects of precipitation seasonality, irrigation, vegetation cycle and soil type on enhanced weathering – modeling of cropland case studies across four sites
Stable isotope profiles of soil organic carbon in forested and grassland landscapes in the Lake Alaotra basin (Madagascar): insights in past vegetation changes
Dynamics of rare earth elements and associated major and trace elements during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation
To what extent can soil moisture and soil Cu contamination stresses affect nitrous species emissions? Estimation through calibration of a nitrification–denitrification model
Carbon, nitrogen, and phosphorus stoichiometry of organic matter in Swedish forest soils and its relationship with climate, tree species, and soil texture
Soil geochemistry as a driver of soil organic matter composition: insights from a soil chronosequence
Leaching of inorganic and organic phosphorus and nitrogen in contrasting beech forest soils – seasonal patterns and effects of fertilization
Age and chemistry of dissolved organic carbon reveal enhanced leaching of ancient labile carbon at the permafrost thaw zone
Soil organic carbon stabilization mechanisms and temperature sensitivity in old terraced soils
Effect of organic carbon addition on paddy soil organic carbon decomposition under different irrigation regimes
Soil profile connectivity can impact microbial substrate use, affecting how soil CO2 effluxes are controlled by temperature
Additional carbon inputs to reach a 4 per 1000 objective in Europe: feasibility and projected impacts of climate change based on Century simulations of long-term arable experiments
Cycling and retention of nitrogen in European beech (Fagus sylvatica L.) ecosystems under elevated fructification frequency
Mercury mobility, colloid formation and methylation in a polluted Fluvisol as affected by manure application and flooding–draining cycle
Simulating measurable ecosystem carbon and nitrogen dynamics with the mechanistically defined MEMS 2.0 model
Similar importance of edaphic and climatic factors for controlling soil organic carbon stocks of the world
Representing methane emissions from wet tropical forest soils using microbial functional groups constrained by soil diffusivity
Long-term bare-fallow soil fractions reveal thermo-chemical properties controlling soil organic carbon dynamics
Geochemical zones and environmental gradients for soils from the central Transantarctic Mountains, Antarctica
Age distribution, extractability, and stability of mineral-bound organic carbon in central European soils
Katherine E. Grant, Marisa N. Repasch, Kari M. Finstad, Julia D. Kerr, Maxwell Marple, Christopher J. Larson, Taylor A. B. Broek, Jennifer Pett-Ridge, and Karis J. McFarlane
Biogeosciences, 21, 4395–4411, https://doi.org/10.5194/bg-21-4395-2024, https://doi.org/10.5194/bg-21-4395-2024, 2024
Short summary
Short summary
Soils store organic carbon composed of multiple compounds from plants and microbes for different lengths of time. To understand how soils store these different carbon types, we measure the time each carbon fraction is in a grassland soil profile. Our results show that the length of time each individual soil fraction is in our soil changes. Our approach allows a detailed look at the different components in soils. This study can help improve our understanding of soil dynamics.
This article is included in the Encyclopedia of Geosciences
Peter Levy, Laura Bentley, Peter Danks, Bridget Emmett, Angus Garbutt, Stephen Heming, Peter Henrys, Aidan Keith, Inma Lebron, Niall McNamara, Richard Pywell, John Redhead, David Robinson, and Alexander Wickenden
Biogeosciences, 21, 4301–4315, https://doi.org/10.5194/bg-21-4301-2024, https://doi.org/10.5194/bg-21-4301-2024, 2024
Short summary
Short summary
We collated a large data set (15 790 soil cores) on soil carbon stock in different land uses. Soil carbon stocks were highest in woodlands and lowest in croplands. The variability in the effects was large. This has important implications for agri-environment schemes seeking to sequester carbon in the soil by altering land use because the effect of a given intervention is very hard to verify.
This article is included in the Encyclopedia of Geosciences
Marija Stojanova, Pierre Arbelet, François Baudin, Nicolas Bouton, Giovanni Caria, Lorenza Pacini, Nicolas Proix, Edouard Quibel, Achille Thin, and Pierre Barré
Biogeosciences, 21, 4229–4237, https://doi.org/10.5194/bg-21-4229-2024, https://doi.org/10.5194/bg-21-4229-2024, 2024
Short summary
Short summary
Because of its importance for climate regulation and soil health, many studies focus on carbon dynamics in soils. However, quantifying organic and inorganic carbon remains an issue in carbonated soils. In this technical note, we propose a validated correction method to quantify organic and inorganic carbon in soils using Rock-Eval® thermal analysis. With this correction, the Rock-Eval® method has the potential to become the standard method for quantifying carbon in carbonate soils.
This article is included in the Encyclopedia of Geosciences
Armando Molina, Veerle Vanacker, Oliver Chadwick, Santiago Zhiminaicela, Marife Corre, and Edzo Veldkamp
Biogeosciences, 21, 3075–3091, https://doi.org/10.5194/bg-21-3075-2024, https://doi.org/10.5194/bg-21-3075-2024, 2024
Short summary
Short summary
The tropical Andes contains unique landscapes where forest patches are surrounded by tussock grasses and cushion-forming plants. The aboveground vegetation composition informs us about belowground nutrient availability: patterns in plant-available nutrients resulted from strong biocycling of cations and removal of soil nutrients by plant uptake or leaching. Future changes in vegetation distribution will affect soil water and solute fluxes and the aquatic ecology of Andean rivers and lakes.
This article is included in the Encyclopedia of Geosciences
Kyle E. Smart, Daniel O. Breecker, Christopher B. Blackwood, and Timothy M. Gallagher
EGUsphere, https://doi.org/10.5194/egusphere-2024-1757, https://doi.org/10.5194/egusphere-2024-1757, 2024
Short summary
Short summary
When microbes consume carbon within soils, it is important to know how much carbon is respired and lost as carbon dioxide versus how much is used to make new biomass. We used a new approach of monitoring carbon dioxide and oxygen to track the fate of consumed carbon during a series of laboratory experiments where sugar was added to moistened soil. Our approach allowed us to estimate how much sugar was converted to dead microbial biomass, which is more likely to be preserved in soils.
This article is included in the Encyclopedia of Geosciences
Sahiti Bulusu, Cristina Prieto García, Helen E. Dahlke, and Elad Levintal
Biogeosciences, 21, 3007–3013, https://doi.org/10.5194/bg-21-3007-2024, https://doi.org/10.5194/bg-21-3007-2024, 2024
Short summary
Short summary
Do-it-yourself hardware is a new way to improve measurement resolution. We present a low-cost, automated system for field measurements of low nitrate concentrations in soil porewater and open water bodies. All data hardware components cost USD 1100, which is much cheaper than other available commercial solutions. We provide the complete building guide to reduce technical barriers, which we hope will allow easier reproducibility and set up new soil and environmental monitoring applications.
This article is included in the Encyclopedia of Geosciences
Henning Teickner, Edzer Pebesma, and Klaus-Holger Knorr
EGUsphere, https://doi.org/10.5194/egusphere-2024-1686, https://doi.org/10.5194/egusphere-2024-1686, 2024
Short summary
Short summary
Decomposition rates for Sphagnum mosses, the main peat forming plants in northern peatlands, are often derived from litterbag experiments. Here, we estimate initial leaching losses from available Sphagnum litterbag experiments and analyze how decomposition rates are biased when initial leaching losses are ignored. Our analyses indicate that initial leaching losses range between 3 to 18 mass-% and that this may result in overestimated mass losses when extrapolated to several decades.
This article is included in the Encyclopedia of Geosciences
Violeta Mendoza-Martinez, Scott L. Collins, and Jennie R. McLaren
Biogeosciences, 21, 2655–2667, https://doi.org/10.5194/bg-21-2655-2024, https://doi.org/10.5194/bg-21-2655-2024, 2024
Short summary
Short summary
We examine the impacts of multi-decadal nitrogen additions on a dryland ecosystem N budget, including the soil, microbial, and plant N pools. After 26 years, there appears to be little impact on the soil microbial or plant community and only minimal increases in N pools within the soil. While perhaps encouraging from a conservation standpoint, we calculate that greater than 95 % of the nitrogen added to the system is not retained and is instead either lost deeper in the soil or emitted as gas.
This article is included in the Encyclopedia of Geosciences
Sean Fettrow, Andrew Wozniak, Holly A. Michael, and Angelia L. Seyfferth
Biogeosciences, 21, 2367–2384, https://doi.org/10.5194/bg-21-2367-2024, https://doi.org/10.5194/bg-21-2367-2024, 2024
Short summary
Short summary
Salt marshes play a big role in global carbon (C) storage, and C stock estimates are used to predict future changes. However, spatial and temporal gradients in C burial rates over the landscape exist due to variations in water inundation, dominant plant species and stage of growth, and tidal action. We quantified soil C concentrations in soil cores across time and space beside several porewater biogeochemical variables and discussed the controls on variability in soil C in salt marsh ecosystems.
This article is included in the Encyclopedia of Geosciences
Shanshan Bai, Yifei Ge, Dongtan Yao, Yifan Wang, Jinfang Tan, Shuai Zhang, Yutao Peng, and Xiaoqian Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-983, https://doi.org/10.5194/egusphere-2024-983, 2024
Short summary
Short summary
Mineral fertilization led to increases in total P, available P, high-activity inorganic P fractions and organic P, but decreased the abundances of P cycling genes by decreasing soil pH and increasing P in bulk soil. Straw retention brought increases for organic C, total P, available P concentrations in water-extractable colloids (WECs). Abundances of phoD gene and phoD-harbouring Proteobacteria in WECs increased under straw retention, suggesting that the P mineralizing capacity increased.
This article is included in the Encyclopedia of Geosciences
Andrés Tangarife-Escobar, Georg Guggenberger, Xiaojuan Feng, Guohua Dai, Carolina Urbina-Malo, Mina Azizi-Rad, and Carlos A. Sierra
Biogeosciences, 21, 1277–1299, https://doi.org/10.5194/bg-21-1277-2024, https://doi.org/10.5194/bg-21-1277-2024, 2024
Short summary
Short summary
Soil organic matter stability depends on future temperature and precipitation scenarios. We used radiocarbon (14C) data and model predictions to understand how the transit time of carbon varies under environmental change in grasslands and peatlands. Soil moisture affected the Δ14C of peatlands, while temperature did not have any influence. Our models show the correspondence between Δ14C and transit time and could allow understanding future interactions between terrestrial and atmospheric carbon
This article is included in the Encyclopedia of Geosciences
Emiko K. Stuart, Laura Castañeda-Gómez, Wolfram Buss, Jeff R. Powell, and Yolima Carrillo
Biogeosciences, 21, 1037–1059, https://doi.org/10.5194/bg-21-1037-2024, https://doi.org/10.5194/bg-21-1037-2024, 2024
Short summary
Short summary
We inoculated wheat plants with various types of fungi whose impacts on soil carbon are poorly understood. After several months of growth, we examined both their impacts on soil carbon and the underlying mechanisms using multiple methods. Overall the fungi benefitted the storage of carbon in soil, mainly by improving the stability of pre-existing carbon, but several pathways were involved. This study demonstrates their importance for soil carbon storage and, therefore, climate change mitigation.
This article is included in the Encyclopedia of Geosciences
Huimin Sun, Michael W. I. Schmidt, Jintao Li, Jinquan Li, Xiang Liu, Nicholas O. E. Ofiti, Shurong Zhou, and Ming Nie
Biogeosciences, 21, 575–589, https://doi.org/10.5194/bg-21-575-2024, https://doi.org/10.5194/bg-21-575-2024, 2024
Short summary
Short summary
A soil organic carbon (SOC) molecular structure suggested that the easily decomposable and stabilized SOC is similarly affected after 9-year warming and N treatments despite large changes in SOC stocks. Given the long residence time of some SOC, the similar loss of all measurable chemical forms of SOC under global change treatments could have important climate consequences.
This article is included in the Encyclopedia of Geosciences
Haoli Zhang, Doudou Chang, Zhifeng Zhu, Chunmei Meng, and Kaiyong Wang
Biogeosciences, 21, 1–11, https://doi.org/10.5194/bg-21-1-2024, https://doi.org/10.5194/bg-21-1-2024, 2024
Short summary
Short summary
Soil salinity mediates microorganisms and soil processes like soil organic carbon (SOC) cycling. We observed that negative priming effects at the early stages might be due to the preferential utilization of cottonseed meal. The positive priming that followed decreased with the increase in salinity.
This article is included in the Encyclopedia of Geosciences
Joséphine Hazera, David Sebag, Isabelle Kowalewski, Eric Verrecchia, Herman Ravelojaona, and Tiphaine Chevallier
Biogeosciences, 20, 5229–5242, https://doi.org/10.5194/bg-20-5229-2023, https://doi.org/10.5194/bg-20-5229-2023, 2023
Short summary
Short summary
This study adapts the Rock-Eval® protocol to quantify soil organic carbon (SOC) and soil inorganic carbon (SIC) on a non-pretreated soil aliquot. The standard protocol properly estimates SOC contents once the TOC parameter is corrected. However, it cannot complete the thermal breakdown of SIC amounts > 4 mg, leading to an underestimation of high SIC contents by the MinC parameter, even after correcting for this. Thus, the final oxidation isotherm is extended to 7 min to quantify any SIC amount.
This article is included in the Encyclopedia of Geosciences
Bo Zhao, Amin Dou, Zhiwei Zhang, Zhenyu Chen, Wenbo Sun, Yanli Feng, Xiaojuan Wang, and Qiang Wang
Biogeosciences, 20, 4761–4774, https://doi.org/10.5194/bg-20-4761-2023, https://doi.org/10.5194/bg-20-4761-2023, 2023
Short summary
Short summary
This study provided a comprehensive analysis of the spatial variability and determinants of Fe-bound organic carbon (Fe-OC) among terrestrial, wetland, and marine ecosystems and its governing factors globally. We illustrated that reactive Fe was not only an important sequestration mechanism for OC in terrestrial ecosystems but also an effective “rusty sink” of OC preservation in wetland and marine ecosystems, i.e., a key factor for long-term OC storage in global ecosystems.
This article is included in the Encyclopedia of Geosciences
Han Sun, Tomoyasu Nishizawa, Hiroyuki Ohta, and Kazuhiko Narisawa
Biogeosciences, 20, 4737–4749, https://doi.org/10.5194/bg-20-4737-2023, https://doi.org/10.5194/bg-20-4737-2023, 2023
Short summary
Short summary
In this research, we assessed the diversity and function of the dark septate endophytic (DSE) fungi community associated with Miscanthus condensatus root in volcanic ecosystems. Both metabarcoding and isolation were adopted in this study. We further validated effects on plant growth by inoculation of some core DSE isolates. This study helps improve our understanding of the role of Miscanthus condensatus-associated DSE fungi during the restoration of post-volcanic ecosystems.
This article is included in the Encyclopedia of Geosciences
Xianjin He, Laurent Augusto, Daniel S. Goll, Bruno Ringeval, Ying-Ping Wang, Julian Helfenstein, Yuanyuan Huang, and Enqing Hou
Biogeosciences, 20, 4147–4163, https://doi.org/10.5194/bg-20-4147-2023, https://doi.org/10.5194/bg-20-4147-2023, 2023
Short summary
Short summary
We identified total soil P concentration as the most important predictor of all soil P pool concentrations, except for primary mineral P concentration, which is primarily controlled by soil pH and only secondarily by total soil P concentration. We predicted soil P pools’ distributions in natural systems, which can inform assessments of the role of natural P availability for ecosystem productivity, climate change mitigation, and the functioning of the Earth system.
This article is included in the Encyclopedia of Geosciences
Imane Slimani, Xia Zhu-Barker, Patricia Lazicki, and William Horwath
Biogeosciences, 20, 3873–3894, https://doi.org/10.5194/bg-20-3873-2023, https://doi.org/10.5194/bg-20-3873-2023, 2023
Short summary
Short summary
There is a strong link between nitrogen availability and iron minerals in soils. These minerals have multiple outcomes for nitrogen availability depending on soil conditions and properties. For example, iron can limit microbial degradation of nitrogen in aerated soils but has opposing outcomes in non-aerated soils. This paper focuses on the multiple ways iron can affect nitrogen bioavailability in soils.
This article is included in the Encyclopedia of Geosciences
Shane W. Stoner, Marion Schrumpf, Alison Hoyt, Carlos A. Sierra, Sebastian Doetterl, Valier Galy, and Susan Trumbore
Biogeosciences, 20, 3151–3163, https://doi.org/10.5194/bg-20-3151-2023, https://doi.org/10.5194/bg-20-3151-2023, 2023
Short summary
Short summary
Soils store more carbon (C) than any other terrestrial C reservoir, but the processes that control how much C stays in soil, and for how long, are very complex. Here, we used a recent method that involves heating soil in the lab to measure the range of C ages in soil. We found that most C in soil is decades to centuries old, while some stays for much shorter times (days to months), and some is thousands of years old. Such detail helps us to estimate how soil C may react to changing climate.
This article is included in the Encyclopedia of Geosciences
Adetunji Alex Adekanmbi, Laurence Dale, Liz Shaw, and Tom Sizmur
Biogeosciences, 20, 2207–2219, https://doi.org/10.5194/bg-20-2207-2023, https://doi.org/10.5194/bg-20-2207-2023, 2023
Short summary
Short summary
The decomposition of soil organic matter and flux of carbon dioxide are expected to increase as temperatures rise. However, soil organic matter decomposition is a two-step process whereby large molecules are first broken down outside microbial cells and then respired within microbial cells. We show here that these two steps are not equally sensitive to increases in soil temperature and that global warming may cause a shift in the rate-limiting step from outside to inside the microbial cell.
This article is included in the Encyclopedia of Geosciences
Mercedes Román Dobarco, Alexandre M. J-C. Wadoux, Brendan Malone, Budiman Minasny, Alex B. McBratney, and Ross Searle
Biogeosciences, 20, 1559–1586, https://doi.org/10.5194/bg-20-1559-2023, https://doi.org/10.5194/bg-20-1559-2023, 2023
Short summary
Short summary
Soil organic carbon (SOC) is of a heterogeneous nature and varies in chemistry, stabilisation mechanisms, and persistence in soil. In this study we mapped the stocks of SOC fractions with different characteristics and turnover rates (presumably PyOC >= MAOC > POC) across Australia, combining spectroscopy and digital soil mapping. The SOC stocks (0–30 cm) were estimated as 13 Pg MAOC, 2 Pg POC, and 5 Pg PyOC.
This article is included in the Encyclopedia of Geosciences
Frederick Büks
Biogeosciences, 20, 1529–1535, https://doi.org/10.5194/bg-20-1529-2023, https://doi.org/10.5194/bg-20-1529-2023, 2023
Short summary
Short summary
Ultrasonication with density fractionation of soils is a commonly used method to separate soil organic matter pools, which is, e.g., important to calculate carbon turnover in landscapes. It is shown that the approach that merges soil and dense solution without mixing has a low recovery rate and causes co-extraction of parts of the retained labile pool along with the intermediate pool. An alternative method with high recovery rates and no cross-contamination was recommended.
This article is included in the Encyclopedia of Geosciences
Tino Peplau, Christopher Poeplau, Edward Gregorich, and Julia Schroeder
Biogeosciences, 20, 1063–1074, https://doi.org/10.5194/bg-20-1063-2023, https://doi.org/10.5194/bg-20-1063-2023, 2023
Short summary
Short summary
We buried tea bags and temperature loggers in a paired-plot design in soils under forest and agricultural land and retrieved them after 2 years to quantify the effect of land-use change on soil temperature and litter decomposition in subarctic agricultural systems. We could show that agricultural soils were on average 2 °C warmer than forests and that litter decomposition was enhanced. The results imply that deforestation amplifies effects of climate change on soil organic matter dynamics.
This article is included in the Encyclopedia of Geosciences
Joseph Okello, Marijn Bauters, Hans Verbeeck, Samuel Bodé, John Kasenene, Astrid Françoys, Till Engelhardt, Klaus Butterbach-Bahl, Ralf Kiese, and Pascal Boeckx
Biogeosciences, 20, 719–735, https://doi.org/10.5194/bg-20-719-2023, https://doi.org/10.5194/bg-20-719-2023, 2023
Short summary
Short summary
The increase in global and regional temperatures has the potential to drive accelerated soil organic carbon losses in tropical forests. We simulated climate warming by translocating intact soil cores from higher to lower elevations. The results revealed increasing temperature sensitivity and decreasing losses of soil organic carbon with increasing elevation. Our results suggest that climate warming may trigger enhanced losses of soil organic carbon from tropical montane forests.
This article is included in the Encyclopedia of Geosciences
Johanna Pihlblad, Louise C. Andresen, Catriona A. Macdonald, David S. Ellsworth, and Yolima Carrillo
Biogeosciences, 20, 505–521, https://doi.org/10.5194/bg-20-505-2023, https://doi.org/10.5194/bg-20-505-2023, 2023
Short summary
Short summary
Elevated CO2 in the atmosphere increases forest biomass productivity when growth is not limited by soil nutrients. This study explores how mature trees stimulate soil availability of nitrogen and phosphorus with free-air carbon dioxide enrichment after 5 years of fumigation. We found that both nutrient availability and processes feeding available pools increased in the rhizosphere, and phosphorus increased at depth. This appears to not be by decomposition but by faster recycling of nutrients.
This article is included in the Encyclopedia of Geosciences
Rodrigo Vargas and Van Huong Le
Biogeosciences, 20, 15–26, https://doi.org/10.5194/bg-20-15-2023, https://doi.org/10.5194/bg-20-15-2023, 2023
Short summary
Short summary
Quantifying the role of soils in nature-based solutions requires accurate estimates of soil greenhouse gas (GHG) fluxes. We suggest that multiple GHG fluxes should not be simultaneously measured at a few fixed time intervals, but an optimized sampling approach can reduce bias and uncertainty. Our results have implications for assessing GHG fluxes from soils and a better understanding of the role of soils in nature-based solutions.
This article is included in the Encyclopedia of Geosciences
Kristine Karstens, Benjamin Leon Bodirsky, Jan Philipp Dietrich, Marta Dondini, Jens Heinke, Matthias Kuhnert, Christoph Müller, Susanne Rolinski, Pete Smith, Isabelle Weindl, Hermann Lotze-Campen, and Alexander Popp
Biogeosciences, 19, 5125–5149, https://doi.org/10.5194/bg-19-5125-2022, https://doi.org/10.5194/bg-19-5125-2022, 2022
Short summary
Short summary
Soil organic carbon (SOC) has been depleted by anthropogenic land cover change and agricultural management. While SOC models often simulate detailed biochemical processes, the management decisions are still little investigated at the global scale. We estimate that soils have lost around 26 GtC relative to a counterfactual natural state in 1975. Yet, since 1975, SOC has been increasing again by 4 GtC due to a higher productivity, recycling of crop residues and manure, and no-tillage practices.
This article is included in the Encyclopedia of Geosciences
Petri Kiuru, Marjo Palviainen, Arianna Marchionne, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, and Annamari Laurén
Biogeosciences, 19, 5041–5058, https://doi.org/10.5194/bg-19-5041-2022, https://doi.org/10.5194/bg-19-5041-2022, 2022
Short summary
Short summary
Peatlands are large carbon stocks. Emissions of carbon dioxide and methane from peatlands may increase due to changes in management and climate. We studied the variation in the gas diffusivity of peat with depth using pore network simulations and laboratory experiments. Gas diffusivity was found to be lower in deeper peat with smaller pores and lower pore connectivity. However, gas diffusivity was not extremely low in wet conditions, which may reflect the distinctive structure of peat.
This article is included in the Encyclopedia of Geosciences
Rachael Akinyede, Martin Taubert, Marion Schrumpf, Susan Trumbore, and Kirsten Küsel
Biogeosciences, 19, 4011–4028, https://doi.org/10.5194/bg-19-4011-2022, https://doi.org/10.5194/bg-19-4011-2022, 2022
Short summary
Short summary
Soils will likely become warmer in the future, and this can increase the release of carbon dioxide (CO2) into the atmosphere. As microbes can take up soil CO2 and prevent further escape into the atmosphere, this study compares the rate of uptake and release of CO2 at two different temperatures. With warming, the rate of CO2 uptake increases less than the rate of release, indicating that the capacity to modulate soil CO2 release into the atmosphere will decrease under future warming.
This article is included in the Encyclopedia of Geosciences
Giuseppe Cipolla, Salvatore Calabrese, Amilcare Porporato, and Leonardo V. Noto
Biogeosciences, 19, 3877–3896, https://doi.org/10.5194/bg-19-3877-2022, https://doi.org/10.5194/bg-19-3877-2022, 2022
Short summary
Short summary
Enhanced weathering (EW) is a promising strategy for carbon sequestration. Since models may help to characterize field EW, the present work applies a hydro-biogeochemical model to four case studies characterized by different rainfall seasonality, vegetation and soil type. Rainfall seasonality strongly affects EW dynamics, but low carbon sequestration suggests that an in-depth analysis at the global scale is required to see if EW may be effective to mitigate climate change.
This article is included in the Encyclopedia of Geosciences
Vao Fenotiana Razanamahandry, Marjolein Dewaele, Gerard Govers, Liesa Brosens, Benjamin Campforts, Liesbet Jacobs, Tantely Razafimbelo, Tovonarivo Rafolisy, and Steven Bouillon
Biogeosciences, 19, 3825–3841, https://doi.org/10.5194/bg-19-3825-2022, https://doi.org/10.5194/bg-19-3825-2022, 2022
Short summary
Short summary
In order to shed light on possible past vegetation shifts in the Central Highlands of Madagascar, we measured stable isotope ratios of organic carbon in soil profiles along both forested and grassland hillslope transects in the Lake Alaotra region. Our results show that the landscape of this region was more forested in the past: soils in the C4-dominated grasslands contained a substantial fraction of C3-derived carbon, increasing with depth.
This article is included in the Encyclopedia of Geosciences
Alessandro Montemagno, Christophe Hissler, Victor Bense, Adriaan J. Teuling, Johanna Ziebel, and Laurent Pfister
Biogeosciences, 19, 3111–3129, https://doi.org/10.5194/bg-19-3111-2022, https://doi.org/10.5194/bg-19-3111-2022, 2022
Short summary
Short summary
We investigated the biogeochemical processes that dominate the release and retention of elements (nutrients and potentially toxic elements) during litter degradation. Our results show that toxic elements are retained in the litter, while nutrients are released in solution during the first stages of degradation. This seems linked to the capability of trees to distribute the elements between degradation-resistant and non-degradation-resistant compounds of leaves according to their chemical nature.
This article is included in the Encyclopedia of Geosciences
Laura Sereni, Bertrand Guenet, Charlotte Blasi, Olivier Crouzet, Jean-Christophe Lata, and Isabelle Lamy
Biogeosciences, 19, 2953–2968, https://doi.org/10.5194/bg-19-2953-2022, https://doi.org/10.5194/bg-19-2953-2022, 2022
Short summary
Short summary
This study focused on the modellisation of two important drivers of soil greenhouse gas emissions: soil contamination and soil moisture change. The aim was to include a Cu function in the soil biogeochemical model DNDC for different soil moisture conditions and then to estimate variation in N2O, NO2 or NOx emissions. Our results show a larger effect of Cu on N2 and N2O emissions than on the other nitrogen species and a higher effect for the soils incubated under constant constant moisture.
This article is included in the Encyclopedia of Geosciences
Marie Spohn and Johan Stendahl
Biogeosciences, 19, 2171–2186, https://doi.org/10.5194/bg-19-2171-2022, https://doi.org/10.5194/bg-19-2171-2022, 2022
Short summary
Short summary
We explored the ratios of carbon (C), nitrogen (N), and phosphorus (P) of organic matter in Swedish forest soils. The N : P ratio of the organic layer was most strongly related to the mean annual temperature, while the C : N ratios of the organic layer and mineral soil were strongly related to tree species even in the subsoil. The organic P concentration in the mineral soil was strongly affected by soil texture, which diminished the effect of tree species on the C to organic P (C : OP) ratio.
This article is included in the Encyclopedia of Geosciences
Moritz Mainka, Laura Summerauer, Daniel Wasner, Gina Garland, Marco Griepentrog, Asmeret Asefaw Berhe, and Sebastian Doetterl
Biogeosciences, 19, 1675–1689, https://doi.org/10.5194/bg-19-1675-2022, https://doi.org/10.5194/bg-19-1675-2022, 2022
Short summary
Short summary
The largest share of terrestrial carbon is stored in soils, making them highly relevant as regards global change. Yet, the mechanisms governing soil carbon stabilization are not well understood. The present study contributes to a better understanding of these processes. We show that qualitative changes in soil organic matter (SOM) co-vary with alterations of the soil matrix following soil weathering. Hence, the type of SOM that is stabilized in soils might change as soils develop.
This article is included in the Encyclopedia of Geosciences
Jasmin Fetzer, Emmanuel Frossard, Klaus Kaiser, and Frank Hagedorn
Biogeosciences, 19, 1527–1546, https://doi.org/10.5194/bg-19-1527-2022, https://doi.org/10.5194/bg-19-1527-2022, 2022
Short summary
Short summary
As leaching is a major pathway of nitrogen and phosphorus loss in forest soils, we investigated several potential drivers in two contrasting beech forests. The composition of leachates, obtained by zero-tension lysimeters, varied by season, and climatic extremes influenced the magnitude of leaching. Effects of nitrogen and phosphorus fertilization varied with soil nutrient status and sorption properties, and leaching from the low-nutrient soil was more sensitive to environmental factors.
This article is included in the Encyclopedia of Geosciences
Karis J. McFarlane, Heather M. Throckmorton, Jeffrey M. Heikoop, Brent D. Newman, Alexandra L. Hedgpeth, Marisa N. Repasch, Thomas P. Guilderson, and Cathy J. Wilson
Biogeosciences, 19, 1211–1223, https://doi.org/10.5194/bg-19-1211-2022, https://doi.org/10.5194/bg-19-1211-2022, 2022
Short summary
Short summary
Planetary warming is increasing seasonal thaw of permafrost, making this extensive old carbon stock vulnerable. In northern Alaska, we found more and older dissolved organic carbon in small drainages later in summer as more permafrost was exposed by deepening thaw. Younger and older carbon did not differ in chemical indicators related to biological lability suggesting this carbon can cycle through aquatic systems and contribute to greenhouse gas emissions as warming increases permafrost thaw.
This article is included in the Encyclopedia of Geosciences
Pengzhi Zhao, Daniel Joseph Fallu, Sara Cucchiaro, Paolo Tarolli, Clive Waddington, David Cockcroft, Lisa Snape, Andreas Lang, Sebastian Doetterl, Antony G. Brown, and Kristof Van Oost
Biogeosciences, 18, 6301–6312, https://doi.org/10.5194/bg-18-6301-2021, https://doi.org/10.5194/bg-18-6301-2021, 2021
Short summary
Short summary
We investigate the factors controlling the soil organic carbon (SOC) stability and temperature sensitivity of abandoned prehistoric agricultural terrace soils. Results suggest that the burial of former topsoil due to terracing provided an SOC stabilization mechanism. Both the soil C : N ratio and SOC mineral protection regulate soil SOC temperature sensitivity. However, which mechanism predominantly controls SOC temperature sensitivity depends on the age of the buried terrace soils.
This article is included in the Encyclopedia of Geosciences
Heleen Deroo, Masuda Akter, Samuel Bodé, Orly Mendoza, Haichao Li, Pascal Boeckx, and Steven Sleutel
Biogeosciences, 18, 5035–5051, https://doi.org/10.5194/bg-18-5035-2021, https://doi.org/10.5194/bg-18-5035-2021, 2021
Short summary
Short summary
We assessed if and how incorporation of exogenous organic carbon (OC) such as straw could affect decomposition of native soil organic carbon (SOC) under different irrigation regimes. Addition of exogenous OC promoted dissolution of native SOC, partly because of increased Fe reduction, leading to more net release of Fe-bound SOC. Yet, there was no proportionate priming of SOC-derived DOC mineralisation. Water-saving irrigation can retard both priming of SOC dissolution and mineralisation.
This article is included in the Encyclopedia of Geosciences
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
Short summary
Short summary
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.
This article is included in the Encyclopedia of Geosciences
Elisa Bruni, Bertrand Guenet, Yuanyuan Huang, Hugues Clivot, Iñigo Virto, Roberta Farina, Thomas Kätterer, Philippe Ciais, Manuel Martin, and Claire Chenu
Biogeosciences, 18, 3981–4004, https://doi.org/10.5194/bg-18-3981-2021, https://doi.org/10.5194/bg-18-3981-2021, 2021
Short summary
Short summary
Increasing soil organic carbon (SOC) stocks is beneficial for climate change mitigation and food security. One way to enhance SOC stocks is to increase carbon input to the soil. We estimate the amount of carbon input required to reach a 4 % annual increase in SOC stocks in 14 long-term agricultural experiments around Europe. We found that annual carbon input should increase by 43 % under current temperature conditions, by 54 % for a 1 °C warming scenario and by 120 % for a 5 °C warming scenario.
This article is included in the Encyclopedia of Geosciences
Rainer Brumme, Bernd Ahrends, Joachim Block, Christoph Schulz, Henning Meesenburg, Uwe Klinck, Markus Wagner, and Partap K. Khanna
Biogeosciences, 18, 3763–3779, https://doi.org/10.5194/bg-18-3763-2021, https://doi.org/10.5194/bg-18-3763-2021, 2021
Short summary
Short summary
In order to study the fate of litter nitrogen in forest soils, we combined a leaf litterfall exchange experiment using 15N-labeled leaf litter with long-term element budgets at seven European beech sites in Germany. It appears that fructification intensity, which has increased in recent decades, has a distinct impact on N retention in forest soils. Despite reduced nitrogen deposition, about 6 and 10 kg ha−1 of nitrogen were retained annually in the soils and in the forest stands, respectively.
This article is included in the Encyclopedia of Geosciences
Lorenz Gfeller, Andrea Weber, Isabelle Worms, Vera I. Slaveykova, and Adrien Mestrot
Biogeosciences, 18, 3445–3465, https://doi.org/10.5194/bg-18-3445-2021, https://doi.org/10.5194/bg-18-3445-2021, 2021
Short summary
Short summary
Our incubation experiment shows that flooding of polluted floodplain soils may induce pulses of both mercury (Hg) and methylmercury to the soil solution and threaten downstream ecosystems. We demonstrate that mobilization of Hg bound to manganese oxides is a relevant process in organic-matter-poor soils. Addition of organic amendments accelerates this mobilization but also facilitates the formation of nanoparticulate Hg and the subsequent fixation of Hg from soil solution to the soil.
This article is included in the Encyclopedia of Geosciences
Yao Zhang, Jocelyn M. Lavallee, Andy D. Robertson, Rebecca Even, Stephen M. Ogle, Keith Paustian, and M. Francesca Cotrufo
Biogeosciences, 18, 3147–3171, https://doi.org/10.5194/bg-18-3147-2021, https://doi.org/10.5194/bg-18-3147-2021, 2021
Short summary
Short summary
Soil organic matter (SOM) is essential for the health of soils, and the accumulation of SOM helps removal of CO2 from the atmosphere. Here we present the result of the continued development of a mathematical model that simulates SOM and its measurable fractions. In this study, we simulated several grassland sites in the US, and the model generally captured the carbon and nitrogen amounts in SOM and their distribution between the measurable fractions throughout the entire soil profile.
This article is included in the Encyclopedia of Geosciences
Zhongkui Luo, Raphael A. Viscarra-Rossel, and Tian Qian
Biogeosciences, 18, 2063–2073, https://doi.org/10.5194/bg-18-2063-2021, https://doi.org/10.5194/bg-18-2063-2021, 2021
Short summary
Short summary
Using the data from 141 584 whole-soil profiles across the globe, we disentangled the relative importance of biotic, climatic and edaphic variables in controlling global SOC stocks. The results suggested that soil properties and climate contributed similarly to the explained global variance of SOC in four sequential soil layers down to 2 m. However, the most important individual controls are consistently soil-related, challenging current climate-driven framework of SOC dynamics.
This article is included in the Encyclopedia of Geosciences
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
Short summary
Short summary
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.
This article is included in the Encyclopedia of Geosciences
Mathieu Chassé, Suzanne Lutfalla, Lauric Cécillon, François Baudin, Samuel Abiven, Claire Chenu, and Pierre Barré
Biogeosciences, 18, 1703–1718, https://doi.org/10.5194/bg-18-1703-2021, https://doi.org/10.5194/bg-18-1703-2021, 2021
Short summary
Short summary
Evolution of organic carbon content in soils could be a major driver of atmospheric greenhouse gas concentrations over the next century. Understanding factors controlling carbon persistence in soil is a challenge. Our study of unique long-term bare-fallow samples, depleted in labile organic carbon, helps improve the separation, evaluation and characterization of carbon pools with distinct residence time in soils and gives insight into the mechanisms explaining soil organic carbon persistence.
This article is included in the Encyclopedia of Geosciences
Melisa A. Diaz, Christopher B. Gardner, Susan A. Welch, W. Andrew Jackson, Byron J. Adams, Diana H. Wall, Ian D. Hogg, Noah Fierer, and W. Berry Lyons
Biogeosciences, 18, 1629–1644, https://doi.org/10.5194/bg-18-1629-2021, https://doi.org/10.5194/bg-18-1629-2021, 2021
Short summary
Short summary
Water-soluble salt and nutrient concentrations of soils collected along the Shackleton Glacier, Antarctica, show distinct geochemical gradients related to latitude, longitude, elevation, soil moisture, and distance from coast and glacier. Machine learning algorithms were used to estimate geochemical gradients for the region given the relationship with geography. Geography and surface exposure age drive salt and nutrient abundances, influencing invertebrate habitat suitability and biogeography.
This article is included in the Encyclopedia of Geosciences
Marion Schrumpf, Klaus Kaiser, Allegra Mayer, Günter Hempel, and Susan Trumbore
Biogeosciences, 18, 1241–1257, https://doi.org/10.5194/bg-18-1241-2021, https://doi.org/10.5194/bg-18-1241-2021, 2021
Short summary
Short summary
A large amount of organic carbon (OC) in soil is protected against decay by bonding to minerals. We studied the release of mineral-bonded OC by NaF–NaOH extraction and H2O2 oxidation. Unexpectedly, extraction and oxidation removed mineral-bonded OC at roughly constant portions and of similar age distributions, irrespective of mineral composition, land use, and soil depth. The results suggest uniform modes of interactions between OC and minerals across soils in quasi-steady state with inputs.
This article is included in the Encyclopedia of Geosciences
Cited articles
Aristarán, M., Tigas, M., Merrill, J. B., and Das, J.: Tabula, Github [code],
https://github.com/tabulapdf/tabula (last access: 1 November 2021), 2012–2020. a
Batjes, N. and Calisto, L.: ISRIC – WoSIS Soil Profile Database,
https://www.isric.org/explore/wosis, last access: 1 November 2021. a
Batjes, N. H., Ribeiro, E., and van Oostrum, A.: Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019), Earth Syst. Sci. Data, 12, 299–320, https://doi.org/10.5194/essd-12-299-2020, 2020. a, b
Beno, M., Figl, K., Umbrich, J., and Polleres, A.: Open Data Hopes and
Fears: Determining the Barriers of Open Data, in: 2017 Conference
for E-Democracy and Open Government (CeDEM), 17–19 May 2017, 69–81,
https://doi.org/10.1109/CeDEM.2017.22, 2017. a
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. a
Bond-Lamberty, B. and Thomson, A.: A global database of soil respiration data, Biogeosciences, 7, 1915–1926, https://doi.org/10.5194/bg-7-1915-2010, 2010. a
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., Desai, A. R., Drake,
J. E., El-Madany, T. S., Gavazzi, M., Görres, C.-M., Gough, C. M.,
Goulden, M., Gregg, J., Gutiérrez del Arroyo, O., He, J.-S., Hirano, T.,
Hopple, A., Hughes, H., Järveoja, J., Jassal, R., Jian, J., Kan, H.,
Kaye, J., Kominami, Y., Liang, N., Lipson, D., Macdonald, C. A., Maseyk, K.,
Mathes, K., Mauritz, M., Mayes, M. A., McNulty, S., Miao, G., Migliavacca,
M., Miller, S., Miniat, C. F., Nietz, J. G., Nilsson, M. B., Noormets, A.,
Norouzi, H., O'Connell, C. S., Osborne, B., Oyonarte, C., Pang, Z., Peichl,
M., Pendall, E., Perez-Quezada, J. F., Phillips, C. L., Phillips, R. P.,
Raich, J. W., Renchon, A. A., Ruehr, N. K., Sánchez-Cañete, E. P.,
Saunders, M., Savage, K. E., Schrumpf, M., Scott, R. L., Seibt, U., Silver,
W. L., Sun, W., Szutu, D., Takagi, K., Takagi, M., Teramoto, M., Tjoelker,
M. G., Trumbore, S., Ueyama, M., Vargas, R., Varner, R. K., Verfaillie, J.,
Vogel, C., Wang, J., Winston, G., Wood, T. E., Wu, J., Wutzler, T., Zeng, J.,
Zha, T., Zhang, Q., and Zou, J.: COSORE: A community database for continuous
soil respiration and other soil-atmosphere greenhouse gas flux data, Global Change Biol., 26, 7268–7283, https://doi.org/10.1111/gcb.15353,
2020. a
Bond-Lamberty, B., Christianson, D. S., Crystal-Ornelas, R., Mathes, K., and
Pennington, S. C.: A reporting format for field measurements of soil
respiration, Ecol. Info., 62, 101280,
https://doi.org/10.1016/j.ecoinf.2021.101280, 2021. a
Buttigieg, P. L., Pafilis, E., Lewis, S. E., Schildhauer, M. P., Walls, R. L.,
and Mungall, C. J.: The environment ontology in 2016: bridging domains with
increased scope, semantic density, and interoperation, J. Biomed. Semant., 7, 57, https://doi.org/10.1186/s13326-016-0097-6, 2016. a
Carroll, S. R., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J.,
Lovett, R., Materechera, S., Parsons, M., Raseroka, K., Rodriguez-Lonebear,
D., Rowe, R., Sara, R., Walker, J. D., Anderson, J., and Hudson, M.: The CARE
Principles for Indigenous Data Governance, Data Sci. J., 19, 43,
https://doi.org/10.5334/dsj-2020-043, 2020. a
Cheah, Y., Christianson, D., Chu, H., Pastorello, G., O'Brien, F., Ong, Y.,
Ingen, C., Torn, M., and Agarwal, D.: AmeriFlux BADM: Implementing lessons
from 12 years of long-tail data management into next generation earth science
systems, in: AGU Fall Meeting Abstracts, Vol. 2018, IN34A–03, 2018. a
Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J., Chhabra,
A., DeFries, R., Galloway, J., Heimann, M., Jones, C., Le
Quéré, C., Myneny, R. B., Piao, S., and Thornton, P.: Carbon
and Other Biogeochemical Cycles, in: Climate Change 2013: The Physical
Science Basis, Contribution of Working Group I to the Fifth Assessment Report
of the Intergovernmental Panel on Climate Change, edited by: Stocker, T., D.,
Q., Plattner, G.-K., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia,
Y., Bex, V., and Midgley, P., chap. Carbon and, Cambridge
University Press, Cambridge, UK, and New York, NY, USA,
465–570, https://doi.org/10.1017/CBO9781107415324.014, 2013. a
Collier, N., Hoffman, F. M., Lawrence, D. M., Keppel-Aleks, G., Koven, C. D.,
Riley, W. J., Mu, M., and Randerson, J. T.: The International Land Model
Benchmarking (ILAMB) System: Design, Theory, and Implementation, J. Adv. Model. Earth Sy., 10, 2731–2754,
https://doi.org/10.1029/2018MS001354, 2018. a
Cooke, N. J. and Hilton, M. L. (Eds.): Enhancing the Effectiveness of Team
Science, The National Academies Press, Washington, DC, https://doi.org/10.17226/19007,
2015. a, b
Couture, J. L., Blake, R. E., McDonald, G., and Ward, C. L.:
A funder-imposed data publication requirement seldom inspired data sharing,
PLoS ONE, 13, e0199789, https://doi.org/10.1371/journal.pone.0199789, 2018. a
Crowther, T., Todd-Brown, K., Rowe, C., Wieder, W., Carey, J., Machmuller, M.,
Snoek, B., Fang, S., Zhou, G., Allison, S., Blair, J., Bridgham, S., Burton,
A., Carrillo, Y., Reich, P., Clark, J., Classen, A., Dijkstra, F., Elberling,
B., Emmett, B., Estiarte, M., Frey, S., Guo, J., Harte, J., Jiang, L.,
Johnson, B., Kröel-Dulay, G., Larsen, K., Laudon, H., Lavallee, J., Luo,
Y., Lupascu, M., Ma, L., Marhan, S., Michelsen, A., Mohan, J., Niu, S.,
Pendall, E., Peñuelas, J., Pfeifer-Meister, L., Poll, C., Reinsch, S.,
Reynolds, L., Schmidt, I., Sistla, S., Sokol, N., Templer, P., Treseder, K.,
Welker, J., and Bradford, M.: Quantifying global soil carbon losses in
response to warming, Nature, 540, 104–108, https://doi.org/10.1038/nature20150, 2016. a, b, c, d
Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B., Boye, K., Burrus, M.,
Cholia, S., Crow, M., Damerow, J., Devarakonda, R., Ely, K. S., Goldman, A.,
Heinz, S., Hendrix, V., Kakalia, Z., Pennington, S. C., Robles, E., Rogers,
A., Simmonds, M., Velliquette, T., Weierbach, H., Weisenhorn, P., Welch,
J. N., and Agarwal, D. A.: A Guide to Using GitHub for Developing and
Versioning Data Standards and Reporting Formats, Earth Space Sci., 8,
e2021EA001797, https://doi.org/10.1029/2021EA001797, 2021. a
CSDMS: CSN Searchable List – Community Surface Dynamics Modeling System (vs
0.8.3), wiki,
https://csdms.colorado.edu/mediawiki/index.php?title=CSN_Searchable_List&oldid=227158,
(last access: 6 October 2021), 2019. a
Ellis, E.: Anthropogenic transformation of the terrestrial biosphere,
Philos. T. Roy. Soc. A, 369, 1010–1035, https://doi.org/10.1098/rsta.2010.0331, 2011. a
Fick, S. E. and Hijmans, R. J.: WorldClim 2: new 1-km spatial resolution
climate surfaces for global land areas, Int. J. Clim.,
37, 4302–4315, 2017. a
Fox, P., Erdmann, C., Stall, S., Griffies, S. M., Beal, L. M., Pinardi, N.,
Hanson, B., Friedrichs, M. A. M., Feakins, S., Bracco, A., Pirenne, B., and
Legg, S.: Data and Software Sharing Guidance for Authors Submitting to AGU
Journals, Zenodo, https://doi.org/10.5281/zenodo.5124741, 2021. a
Furche, T., Gottlob, G., Libkin, L., Orsi, G., and Paton, N.: Data Wrangling
for Big Data: Challenges and Opportunities, in: Advances in Database
Technology – EDBT 2016, Advances in Database Technology,
University of Konstanz, 19th International
Conference on Extending Database Technology, EDBT 2016; Conference date:
15-03-2016 Through 18-03-2016, 473–478, https://doi.org/10.5441/002/edbt.2016.44, 2016. a
Fuss, S., Lamb, W. F., Callaghan, M. W., Hilaire, J., Creutzig, F., Amann, T.,
Beringer, T., de Oliveira Garcia, W., Hartmann, J., Khanna, T., Luderer, G.,
Nemet, G. F., Rogelj, J., Smith, P., Vicente, J. L. V., Wilcox, J., del Mar
Zamora Dominguez, M., and Minx, J. C.: Negative emissions – Part
2: Costs, potentials and side effects, Environ. Res. Lett., 13,
063002, https://doi.org/10.1088/1748-9326/aabf9f, 2018. a
Gustafson, A., Erdmann, J., Milligan, M., Onsongo, G., Pardey, P., Prather, T.,
Silverstein, K., Wilgenbusch, J., and Zhang, Y.: A platform for
computationally advanced collaborative agroinformatics data discovery and
analysis, in: Proceedings of the Practice and Experience in Advanced Research
Computing 2017 on Sustainability, Success and Impact, Association
for Computing Machinery, New York, NY, United States, 1–4, 2017. a
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, 705–718,
https://doi.org/10.1111/gcb.13896, 2018. a, b
Hassell, D., Gregory, J., Blower, J., Lawrence, B. N., and Taylor, K. E.: A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1), Geosci. Model Dev., 10, 4619–4646, https://doi.org/10.5194/gmd-10-4619-2017, 2017. a
Hawkins, S. J., Firth, L. B., McHugh, M., Poloczanska, E. S., Herbert, R.
J. H., Burrows, M. T., Kendall, M. A., Moore, P. J., Thompson, R. C.,
Jenkins, S. R., Sims, D. W., Genner, M. J., and Mieszkowska, N.: Data rescue
and re-use: Recycling old information to address new policy concerns,
Mar. Pol., 42, 91–98, https://doi.org/10.1016/j.marpol.2013.02.001, 2013. a
Hengl, T., de Jesus, J. M., MacMillan, R. A., Batjes, N. H., Heuvelink, G.
B. M., Ribeiro, E., Samuel-Rosa, A., Kempen, B., Leenaars, J. G. B., Walsh,
M. G., and Gonzalez, M. R.: SoilGrids1km – Global Soil Information Based on
Automated Mapping, PLOS ONE, 9, 1–17, https://doi.org/10.1371/journal.pone.0105992,
2014. a
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez,
M., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N.,
Geng, X., Bauer-Marschallinger, B., Guevara, M. A., Vargas, R.,
MacMillan, R. A., Batjes, N. H., Leenaars, J. G. B., Ribeiro, E.,
Wheeler, I., Mantel, S., and Kempen, B.: SoilGrids250m: Global gridded
soil information based on machine learning, PLoS ONE, 12, e0169748,
https://doi.org/10.1371/journal.pone.0169748, 2017. a, b, c
ISCN: Data, https://iscn.fluxdata.org/data/ (last access: 1 November 2021), 2020. a
ISRaD: International Soil Radiocarbon Database: project webpage, https://soilradiocarbon.org (last access: 1 November 2021), 2018–2021. a
Iversen, C. M., McCormack, M. L., Powell, A. S., Blackwood, C. B., Freschet,
G. T., Kattge, J., Roumet, C., Stover, D. B., Soudzilovskaia, N. A.,
Valverde-Barrantes, O. J., van Bodegom, P. M., and Violle, C.: A global
Fine-Root Ecology Database to address below-ground challenges in plant
ecology, New Phytol., 215, 15–26,
https://doi.org/10.1111/nph.14486, 2017. a
Jian, J., Du, X., and Stewart, R. D.: A database for global soil health
assessment, Sci. Data, 7, 16, https://doi.org/10.1038/s41597-020-0356-3, 2020a. a
Jian, J., Stewart, R. D., and Du, X.: SoilHealthDB,
https://github.com/jinshijian/SoilHealthDB (last access: 1 November 2021), 2020b. a
Karasti, H., Baker, K. S., and Halkola, E.: Enriching the Notion of Data
Curation in E-Science: Data Managing and Information
Infrastructuring in the Long Term Ecological Research (LTER)
Network, Comp. Support. Coop. W., 15, 321–358,
https://doi.org/10.1007/s10606-006-9023-2, 2006. a
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. a, b, c, d, e, f, g
Lehmann, J., Bossio, D. A., Kögel-Knabner, I., and Rillig, M. C.: The
concept and future prospects of soil health, Nat. Rev. Earth Environ., 1, 544–553, https://doi.org/10.1038/s43017-020-0080-8, 2020. a
Lembrechts, J. J., Aalto, J., Ashcroft, M. B., Frenne, P. D., Kopecký, M.,
Lenoir, J., Luoto, M., Maclean, I. M. D., Roupsard, O., Fuentes‐Lillo, E.,
García, R. A., Pellissier, L., Pitteloud, C., Alatalo, J. M., Smith,
S. W., Björk, R. G., Muffler, L., Cesarz, S., Gottschall, F., Backes,
A. R., Okello, J., Urban, J., Plichta, R., Svátek, M., Phartyal, S. S.,
Wipf, S., Eisenhauer, N., Pușcaș, M., Turtureanu, P. D., Varlagin, A.,
Dimarco, R. D., Jump, A. S., Randall, K., Dorrepaal, E., Larson, K., Walz,
J., Vitale, L., Svoboda, M., Higgens, R. F., Halbritter, A. H., Curasi,
S. R., Klupar, I., Koontz, A., Pearse, W. D., Simpson, E., Stemkovski, M.,
Graae, B. J., Sørensen, M. V., Høye, T. T., Calzado, M. R. F., Lorite,
J., Carbognani, M., Tomaselli, M., Forte, T. G. W., Petraglia, A., Haesen,
S., Somers, B., Meerbeek, K. V., Björkman, M. P., Hylander, K., Merinero,
S., Gharun, M., Buchmann, N., Dolezal, J., Matula, R., Thomas, A. D., Bailey,
J. J., Ghosn, D., Kazakis, G., Pablo, M. A. d., Kemppinen, J., Niittynen, P.,
Rew, L., Seipel, T., Larson, C., Speed, J. D. M., Ardö, J., Cannone, N.,
Guglielmin, M., Malfasi, F., Bader, M. Y., Canessa, R., Stanisci, A.,
Kreyling, J., Schmeddes, J., Teuber, L., Aschero, V., Čiliak, M.,
Máliš, F., Smedt, P. D., Govaert, S., Meeussen, C., Vangansbeke, P.,
Gigauri, K., Lamprecht, A., Pauli, H., Steinbauer, K., Winkler, M., Ueyama,
M., Nuñez, M. A., Ursu, T.-M., Haider, S., Wedegärtner, R. E. M.,
Smiljanic, M., Trouillier, M., Wilmking, M., Altman, J., Brůna, J.,
Hederová, L., Macek, M., Man, M., Wild, J., Vittoz, P., Pärtel, M.,
Barančok, P., Kanka, R., Kollár, J., Palaj, A., Barros, A.,
Mazzolari, A. C., Bauters, M., Boeckx, P., Alonso, J. L. B., Zong, S., Cecco,
V. D., Sitková, Z., Tielbörger, K., Brink, L. v. d., Weigel, R.,
Homeier, J., Dahlberg, C. J., Medinets, S., Medinets, V., Boeck, H. J. D.,
Portillo‐Estrada, M., Verryckt, L. T., Milbau, A., Daskalova, G. N.,
Thomas, H. J. D., Myers‐Smith, I. H., Blonder, B., Stephan, J. G.,
Descombes, P., Zellweger, F., Frei, E. R., Heinesch, B., Andrews, C., Dick,
J., Siebicke, L., Rocha, A., Senior, R. A., Rixen, C., Jimenez, J. J., Boike,
J., Pauchard, A., Scholten, T., Scheffers, B., Klinges, D., Basham, E. W.,
Zhang, J., Zhang, Z., Géron, C., Fazlioglu, F., Candan, O., Bravo, J. S.,
Hrbacek, F., Laska, K., Cremonese, E., Haase, P., Moyano, F. E., Rossi, C.,
and Nijs, I.: SoilTemp: a global database of near-surface temperature,
Glob. Change Biol., 26, 6616–6629, https://doi.org/10.1111/gcb.15123, 2020. a
Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds, R., Giaretta, D.,
De Giusti, M., L'Hours, H., Hugo, W., Jenkyns, R., V. Khodiyar, M. E. Martone, M. Mokrane, V. Navale, J. Petters, B. Sierman, D. V. Sokolova, M. Stockhause and J. Westbrook: The TRUST
Principles for digital repositories, Sci. Data, 7, 1–5, 2020. a
Löffler, F., Wesp, V., König-Ries, B., and Klan, F.: Dataset search in
biodiversity research: Do metadata in data repositories reflect scholarly
information needs?, PLOS ONE, 16, e0246099,
https://doi.org/10.1371/journal.pone.0246099, 2021. a, b
Lohr, S.: For Big-Data Scientists, “Janitor Work” Is Key Hurdle to Insights,
New York Times,
https://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html (last access: 1 November 2022),
2014. a
Longo, D. L. and Drazen, J. M.: Data Sharing, New Engl. J. Med.,
374, 276–277, https://doi.org/10.1056/nejme1516564, 2016. a
LTER Soil Orgnaic matter Working Group: soilHarmonization: Homogenize LTER Soil
Organic Matter Working Group data and notes,
https://github.com/lter/soilHarmonization (last access: 1 November 2021),
2018. a
LTER Soil Orgnaic matter Working Group: Advancing soil organic matter research:
Synthesizing multi-scale observations, Manipulations and Models,
https://lternet.edu/working-groups/soil-organic-matter/ last access: 1 November 2021),
2019. a
Luque, C.: Open Data and FAIR Data: differences and similarities,
https://www.ogoov.com/en/blog/open-data-and-fair-data-differences-and-similarities/ (last access: 1 November 2022),
2019. a
Lyons, S. E., Osmond, D. L., Slaton, N. A., Spargo, J. T., Kleinman, P. J.,
Arthur, D. K., and McGrath, J. M.: FRST: A national soil testing database to
improve fertility recommendations, Agr. Environ. Lett., 5,
e20008, https://doi.org/10.1002/ael2.20008, 2020. a
Malhotra, A., Todd-Brown, K., Nave, L., Batjes, N., Holmquist, J., Hoyt, A.,
Iversen, C., Jackson, R. B., Lajtha, K., Lawrence, C., Vindušková,
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, 2019. a
Onerhime, E.: Data Standards for Soil: Why aren't they taking root? version 1, not peer reviewed, document 5:74, Gates Open Research, https://doi.org/10.21955/gatesopenres.1116780.1, 2021. a
Ooms, J.: pdftools: Text Extraction, Rendering and Converting of PDF
Documents, https://CRAN.R-project.org/package=pdftools (last access: 1 November 2022), R
package version 3.0.1, 2021. a
Palma, R., Janiak, B., Reznik, T., Schleidt, K., Kozel, J., Sousa, L. D.,
Egmond, F., Mouazen, A. M., and Moshou, D.: Global Soil Information System
(GloSIS) Ontology, Tech. Rep., SIEUSOIL project,
http://w3id.org/glosis/model (last access: 1 November 2022), 2020. a
Pampel, H., Vierkant, P., Scholze, F., Bertelmann, R., Kindling, M., Klump, J.,
Goebelbecker, H.-J., Gundlach, J., Schirmbacher, P., and Dierolf, U.: Making
Research Data Repositories Visible: The re3data.org Registry, PLoS ONE,
8, e78080, https://doi.org/10.1371/journal.pone.0078080, 2013. a
Pick, J. L., Nakagawa, S., and Noble, D. W.: Reproducible, flexible and
high-throughput data extraction from primary literature: The metaDigitise R
package, bioRxiv, https://doi.org/10.1101/247775, 2018. a
Richardson, D. B., Kwan, M.-P., Alter, G., and McKendry, J. E.: Replication of
scientific research: addressing geoprivacy, confidentiality, and data sharing
challenges in geospatial research, Annals GIS, 21, 101–110, 2015. a
Richter, D. d., Bacon, A. R., Mobley, M. L., Richardson, C. J., Andrews, S. S.,
West, L., Wills, S., Billings, S., Cambardella, C. A., Cavallaro, N.,
DeMeester, J. E., Franzluebbers, A. J., Grandy, A. S., Grunwald, S., Gruver,
J., Hartshorn, A. S., Janzen, H., Kramer, M. G., Ladha, J. K., Lajtha, K.,
Liles, G. C., Markewitz, D., Megonigal, P. J., Mermut, A. R., Rasmussen, C.,
Robinson, D. A., Smith, P., Stiles, C. A., Tate III, R. L., Thompson, A.,
Tugel, A. J., van Es, H., Yaalon, D., and Zobeck, T. M.: Human–Soil
Relations are Changing Rapidly: Proposals from SSSA's Cross-Divisional Soil
Change Working Group, Soil Sci. Soc. Am. J., 75,
2079–2084, https://doi.org/10.2136/sssaj2011.0124, 2011. a
Rohatgi, A.: Webplotdigitizer: Version 4.5,
https://automeris.io/WebPlotDigitizer (last access: 1 November 2022), 2021. a
Rüegg, J., Gries, C., Bond-Lamberty, B., Bowen, G. J., Felzer, B. S.,
McIntyre, N. E., Soranno, P. A., Vanderbilt, K. L., and Weathers, K. C.:
Completing the data life cycle: using information management in macrosystems
ecology research, Front. Ecol. Environ., 12, 24–30,
https://doi.org/10.1890/120375, 2014. a
Savage, C. J. and Vickers, A. J.: Empirical Study of Data Sharing by Authors
Publishing in PLoS Journals, PLoS ONE, 4, e7078,
https://doi.org/10.1371/journal.pone.0007078, 2009. a
Schädel, C., Beem-Miller, J., Aziz Rad, M., Crow, S. E., Hicks Pries, C. E., Ernakovich, J., Hoyt, A. M., Plante, A., Stoner, S., Treat, C. C., and Sierra, C. A.: Decomposability of soil organic matter over time: the Soil Incubation Database (SIDb, version 1.0) and guidance for incubation procedures, Earth Syst. Sci. Data, 12, 1511–1524, https://doi.org/10.5194/essd-12-1511-2020, 2020. a, b
Sierra, C. A.: SIDB, https://soilbgc-datashare.github.io/sidb/ (last access: 1 November 2022), 2018. a
Smith, P., Soussana, J.-F., Angers, D., Schipper, L., Chenu, C., Rasse, D. P.,
Batjes, N. H., van Egmond, F., McNeill, S., Kuhnert, M., Arias-Navarro, C.,
Olesen, J. E., Chirinda, N., Fornara, D., Wollenberg, E., Álvaro-Fuentes,
J., Sanz-Cobena, A., and Klumpp, K.: How to measure, report and verify soil
carbon change to realize the potential of soil carbon sequestration for
atmospheric greenhouse gas removal, Glob. Change Biol., 26, 219–241,
https://doi.org/10.1111/gcb.14815, 2020. a
SOILTEMP: Towards a global database of microclimate,
https://soiltemp.weebly.com/ (last access: 1 November 2022), 2020. a
Tugel, A., Herrick, J., Brown, J., Mausbach, M., Puckett, W., and Hipple, K.:
Soil Change, Soil Survey, and Natural Resources Decision Making, Soil Sci. Soc. Am. J., 69, 738–747, https://doi.org/10.2136/sssaj2004.0163, 2005. a
Tummers, B.: DataThief software, version 3.0,
https://datathief.org/ (last access: 1 November 2022), 2006. a
van Gestel, N., Shi, Z., van Groenigen, K. J., Osenberg, C. W., Andresen,
L. C., Dukes, J. S., Hovenden, M. J., Luo, Y., Michelsen, A., Pendall, E.,
Reich, P. B., Schuur, E. A. G., and Hungate, B. A.: Predicting soil carbon
loss with warming, Nature, 554, 4–5, https://doi.org/10.1038/nature25745, 2018. a
Vines, T. H., Albert, A. Y., Andrew, R. L., Débarre, F., Bock, D. G.,
Franklin, M. T., Gilbert, K. J., Moore, J.-S., Renaut, S., and Rennison,
D. J.: The Availability of Research Data Declines Rapidly with Article Age,
Current Biol., 24, 94–97, https://doi.org/10.1016/j.cub.2013.11.014,
2014. a
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. a
Wieder, W., Earl, S., and Pierson, D.: SoDaH: Database,
https://lter.github.io/som-website/database.html (last access: 1 November 2022),
2021a. a
Wieder, W. R., Pierson, D., Earl, S., Lajtha, K., Baer, S. G., Ballantyne, F., Berhe, A. A., Billings, S. A., Brigham, L. M., Chacon, S. S., Fraterrigo, J., Frey, S. D., Georgiou, K., de Graaff, M.-A., Grandy, A. S., Hartman, M. D., Hobbie, S. E., Johnson, C., Kaye, J., Kyker-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.: SoDaH: the SOils DAta Harmonization database, an open-source synthesis of soil data from research networks, version 1.0, Earth Syst. Sci. Data, 13, 1843–1854, https://doi.org/10.5194/essd-13-1843-2021, 2021b. a, b, c, d
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M.,
Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E.,
Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O.,
Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J.,
Groth, P., Goble, C., Grethe, J. S., Heringa, J., 't Hoen, P. A., Hooft, R.,
Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer,
A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone,
S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A.,
Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester,
A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR
Guiding Principles for scientific data management and stewardship, Sci. Data, 3, 160018, https://doi.org/10.1038/sdata.2016.18, 2016. a
Wolkovich, E. M., Regetz, J., and O'Connor, M. I.: Advances in global change
research require open science by individual researchers, Glob. Change
Biol., 18, 2102–2110,
https://doi.org/10.1111/j.1365-2486.2012.02693.x, 2012. a
Yost, J. L. and Hartemink, A. E.: How deep is the soil studied–an analysis of
four soil science journals, Plant Soil, 452, 5–18, 2020. a
Zinke, P., Stangenberger, A., Post, W., Emanuel, W., and Olson, J.: Global
Organic Soil Carbon and Nitrogen (Zinke et al.), https://doi.org/10.3334/ORNLDAAC/221,
1998. a
Short summary
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.
Research data are becoming increasingly available online with tantalizing possibilities for...
Altmetrics
Final-revised paper
Preprint