Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1435-2022
© 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-19-1435-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ideas and perspectives
| 
10 Mar 2022
Ideas and perspectives |
| 10 Mar 2022
| 10 Mar 2022
Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries
Wondo Genet College of Forestry and Natural Resources, Hawassa
University, P.O. Box 128, Shashemene, Ethiopia
Ben Bond-Lamberty
Pacific Northwest National Laboratory, Joint Global Change Research
Institute, College Park, MD, USA
Youngryel Ryu
Department of Landscape Architecture and Rural Systems Engineering,
Seoul National University, Seoul, Republic of Korea
Bumsuk Seo
Land Use Change and Climate Research Group, Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT),
Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany
Dario Papale
Department for Innovation in Biological, Agro-food and Forest
systems (DIBAF), University of Tuscia, Via San C. De Lellis s.n.c., 01100
Viterbo, Italy
Impacts on Agriculture, Forests and Ecosystem Services Division, Euro-Mediterranean Center on Climate Change (CMCC) Viterbo, Italy
Related authors
Dong-Gill Kim, Ben Bond-Lamberty, Youngryel Ryu, Bumsuk Seo, and Dario Papale
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-85, https://doi.org/10.5194/bg-2021-85, 2021
Manuscript not accepted for further review
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While greenhouse gas (GHG) research has adopted highly advanced technology some have adopted appropriate technology and approach (AT&A) such as low-cost instrument, open source software and participatory research and their results were well accepted by scientific communities. In terms of cost, feasibility and performance, integration of low-cost and low-technology, participatory and networking based research approaches can be AT&A for enhancing GHG research in developing countries.
Dong-Gill Kim, Andrew D. Thomas, David Pelster, Todd S. Rosenstock, and Alberto Sanz-Cobena
Biogeosciences, 13, 4789–4809, https://doi.org/10.5194/bg-13-4789-2016, https://doi.org/10.5194/bg-13-4789-2016, 2016
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African natural ecosystems and agricultural lands are a significant source of GHG. However, there are huge research gaps and understanding of Africa's contribution to global GHG emissions remains highly uncertain. The strategy for addressing this data gap involves identifying priorities for data acquisition, utilizing appropriate technologies, and establishing networks and collaboration.
D.-G. Kim and M. U. F. Kirschbaum
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-1053-2014, https://doi.org/10.5194/bgd-11-1053-2014, 2014
Revised manuscript not accepted
Benjamin Loubet, Nicolas P. Saby, Maryam Gebleh, Pauline Buysse, Jean-Philippe Chenu, Céline Ratie, Claudy Jolivet, Carmen Kalalian, Florent Levavasseur, Jose-Luis Munera-Echeverri, Sebastien Lafont, Denis Loustau, Dario Papale, Giacomo Nicolini, Bruna Winck, and Dominique Arrouays
EGUsphere, https://doi.org/10.5194/egusphere-2025-592, https://doi.org/10.5194/egusphere-2025-592, 2025
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Soil is a large pool of carbon storing globally from two to three times more carbon than the atmosphere and vegetation. We compute the soil stock evolution from 2005 to 2019 for a wheat-maize-barley-oilseed-rape crop rotation at a French crop site. The soil carbon stock decreased by around 70 ± 16 g C m-2 yr-1 over the period, leading to a total loss of around 8 % of the initial soil stock. This strong destocking is primarily explained by a decrease in the residue return to the site.
Alexandre Lhosmot, Gabriel Hould Gosselin, Manuel Helbig, Julien Fouché, Youngryel Ryu, Matteo Detto, Ryan Connon, William Quinton, Tim Moore, and Oliver Sonnentag
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-367, https://doi.org/10.5194/hess-2024-367, 2025
Preprint under review for HESS
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Climate change induces permanently frozen ground thaw, altering landscapes and water movements. We assess water balances (water entering and leaving difference) in a thawing boreal peatland complex in western Canada at two drainage scales: three < 1 km² basins (2014–2016) and one 130–202 km² basin (1996–2022). Both scales show similar patterns. We highlight challenges in accurate water balance estimation in low-relief areas. This study underscores ground thaw’s role in water movement dynamics.
Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Jiří Dušek, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo A. Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Mana Gharun, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
Biogeosciences, 21, 5079–5115, https://doi.org/10.5194/bg-21-5079-2024, https://doi.org/10.5194/bg-21-5079-2024, 2024
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The movement of water, carbon, and energy from the Earth's surface to the atmosphere, or flux, is an important process to understand because it impacts our lives. Here, we outline a method called FLUXCOM-X to estimate global water and CO2 fluxes based on direct measurements from sites around the world. We go on to demonstrate how these new estimates of net CO2 uptake/loss, gross CO2 uptake, total water evaporation, and transpiration from plants compare to previous and independent estimates.
Kalyn Dorheim, Skylar Gering, Robert Gieseke, Corinne Hartin, Leeya Pressburger, Alexey N. Shiklomanov, Steven J. Smith, Claudia Tebaldi, Dawn L. Woodard, and Ben Bond-Lamberty
Geosci. Model Dev., 17, 4855–4869, https://doi.org/10.5194/gmd-17-4855-2024, https://doi.org/10.5194/gmd-17-4855-2024, 2024
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Hector is an easy-to-use, global climate–carbon cycle model. With its quick run time, Hector can provide climate information from a run in a fraction of a second. Hector models on a global and annual basis. Here, we present an updated version of the model, Hector V3. In this paper, we document Hector’s new features. Hector V3 is capable of reproducing historical observations, and its future temperature projections are consistent with those of more complex models.
Martin Jung, Jacob Nelson, Mirco Migliavacca, Tarek El-Madany, Dario Papale, Markus Reichstein, Sophia Walther, and Thomas Wutzler
Biogeosciences, 21, 1827–1846, https://doi.org/10.5194/bg-21-1827-2024, https://doi.org/10.5194/bg-21-1827-2024, 2024
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We present a methodology to detect inconsistencies in perhaps the most important data source for measurements of ecosystem–atmosphere carbon, water, and energy fluxes. We expect that the derived consistency flags will be relevant for data users and will help in improving our understanding of and our ability to model ecosystem–climate interactions.
Bo Qu, Alexandre Roy, Joe R. Melton, Jennifer L. Baltzer, Youngryel Ryu, Matteo Detto, and Oliver Sonnentag
EGUsphere, https://doi.org/10.5194/egusphere-2023-1167, https://doi.org/10.5194/egusphere-2023-1167, 2023
Preprint archived
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Accurately simulating photosynthesis and evapotranspiration challenges terrestrial biosphere models across North America’s boreal biome, in part due to uncertain representation of the maximum rate of photosynthetic carboxylation (Vcmax). This study used forest stand scale observations in an optimization framework to improve Vcmax values for representative vegetation types. Several stand characteristics well explained spatial Vcmax variability and were useful to improve boreal forest modelling.
Kukka-Maaria Kohonen, Roderick Dewar, Gianluca Tramontana, Aleksanteri Mauranen, Pasi Kolari, Linda M. J. Kooijmans, Dario Papale, Timo Vesala, and Ivan Mammarella
Biogeosciences, 19, 4067–4088, https://doi.org/10.5194/bg-19-4067-2022, https://doi.org/10.5194/bg-19-4067-2022, 2022
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Four different methods for quantifying photosynthesis (GPP) at ecosystem scale were tested, of which two are based on carbon dioxide (CO2) and two on carbonyl sulfide (COS) flux measurements. CO2-based methods are traditional partitioning, and a new method uses machine learning. We introduce a novel method for calculating GPP from COS fluxes, with potentially better applicability than the former methods. Both COS-based methods gave on average higher GPP estimates than the CO2-based estimates.
Yilin Fang, L. Ruby Leung, Ryan Knox, Charlie Koven, and Ben Bond-Lamberty
Geosci. Model Dev., 15, 6385–6398, https://doi.org/10.5194/gmd-15-6385-2022, https://doi.org/10.5194/gmd-15-6385-2022, 2022
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Accounting for water movement in the soil and water transport within the plant is important for plant growth in Earth system modeling. We implemented different numerical approaches for a plant hydrodynamic model and compared their impacts on the simulated aboveground biomass (AGB) at single points and globally. We found care should be taken when discretizing the number of soil layers for numerical simulations as it can significantly affect AGB if accuracy and computational costs are of concern.
Anne Schucknecht, Bumsuk Seo, Alexander Krämer, Sarah Asam, Clement Atzberger, and Ralf Kiese
Biogeosciences, 19, 2699–2727, https://doi.org/10.5194/bg-19-2699-2022, https://doi.org/10.5194/bg-19-2699-2022, 2022
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Actual maps of grassland traits could improve local farm management and support environmental assessments. We developed, assessed, and applied models to estimate dry biomass and plant nitrogen (N) concentration in pre-Alpine grasslands with drone-based multispectral data and canopy height information. Our results indicate that machine learning algorithms are able to estimate both parameters but reach a better level of performance for biomass.
Jinshi Jian, Xuan Du, Juying Jiao, Xiaohua Ren, Karl Auerswald, Ryan Stewart, Zeli Tan, Jianlin Zhao, Daniel L. Evans, Guangju Zhao, Nufang Fang, Wenyi Sun, Chao Yue, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-87, https://doi.org/10.5194/essd-2022-87, 2022
Manuscript not accepted for further review
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Field soil loss and sediment yield due to surface runoff observations were compiled into a database named AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements. Annual soil erosion data from 1985 geographic sites and 75 countries have been compiled into AWESOME. This database aims to be an open framework for the scientific community to share field-based annual soil erosion measurements, enabling better understanding of the spatial and temporal variability of annual soil erosion.
Dawn L. Woodard, Alexey N. Shiklomanov, Ben Kravitz, Corinne Hartin, and Ben Bond-Lamberty
Geosci. Model Dev., 14, 4751–4767, https://doi.org/10.5194/gmd-14-4751-2021, https://doi.org/10.5194/gmd-14-4751-2021, 2021
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We have added a representation of the permafrost carbon feedback to the simple, open-source global carbon–climate model Hector and calibrated the results to be consistent with historical data and Earth system model projections. Our results closely match previous work, estimating around 0.2 °C of warming from permafrost this century. This capability will be useful to explore uncertainties in this feedback and for coupling with integrated assessment models for policy and economic analysis.
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, and Robert B. Jackson
Earth Syst. Sci. Data, 13, 3607–3689, https://doi.org/10.5194/essd-13-3607-2021, https://doi.org/10.5194/essd-13-3607-2021, 2021
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Methane is an important greenhouse gas, yet we lack knowledge about its global emissions and drivers. We present FLUXNET-CH4, a new global collection of methane measurements and a critical resource for the research community. We use FLUXNET-CH4 data to quantify the seasonality of methane emissions from freshwater wetlands, finding that methane seasonality varies strongly with latitude. Our new database and analysis will improve wetland model accuracy and inform greenhouse gas budgets.
Eva Sinha, Kate Calvin, Ben Bond-Lamberty, Beth Drewniak, Dan Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, and Caitlin Moore
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-244, https://doi.org/10.5194/gmd-2021-244, 2021
Preprint withdrawn
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Perennial bioenergy crops are not well represented in global land models, despite projected increase in their production. Our study expands Energy Exascale Earth System Model (E3SM) Land Model (ELM) to include perennial bioenergy crops and calibrates the model for miscanthus and switchgrass. The calibrated model captures the seasonality and magnitude of carbon and energy fluxes. This study provides the foundation for future research examining the impact of perennial bioenergy crop expansion.
Dong-Gill Kim, Ben Bond-Lamberty, Youngryel Ryu, Bumsuk Seo, and Dario Papale
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-85, https://doi.org/10.5194/bg-2021-85, 2021
Manuscript not accepted for further review
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While greenhouse gas (GHG) research has adopted highly advanced technology some have adopted appropriate technology and approach (AT&A) such as low-cost instrument, open source software and participatory research and their results were well accepted by scientific communities. In terms of cost, feasibility and performance, integration of low-cost and low-technology, participatory and networking based research approaches can be AT&A for enhancing GHG research in developing countries.
Jeff W. Atkins, Elizabeth Agee, Alexandra Barry, Kyla M. Dahlin, Kalyn Dorheim, Maxim S. Grigri, Lisa T. Haber, Laura J. Hickey, Aaron G. Kamoske, Kayla Mathes, Catherine McGuigan, Evan Paris, Stephanie C. Pennington, Carly Rodriguez, Autym Shafer, Alexey Shiklomanov, Jason Tallant, Christopher M. Gough, and Ben Bond-Lamberty
Earth Syst. Sci. Data, 13, 943–952, https://doi.org/10.5194/essd-13-943-2021, https://doi.org/10.5194/essd-13-943-2021, 2021
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The fortedata R package is an open data notebook from the Forest Resilience Threshold Experiment (FoRTE) – a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics in a temperate forest. The data included help to interpret how carbon cycling processes respond over time to disturbance.
Jinshi Jian, Rodrigo Vargas, Kristina Anderson-Teixeira, Emma Stell, Valentine Herrmann, Mercedes Horn, Nazar Kholod, Jason Manzon, Rebecca Marchesi, Darlin Paredes, and Ben Bond-Lamberty
Earth Syst. Sci. Data, 13, 255–267, https://doi.org/10.5194/essd-13-255-2021, https://doi.org/10.5194/essd-13-255-2021, 2021
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Field soil-to-atmosphere CO2 flux (soil respiration, Rs) observations were compiled into a global database (SRDB) a decade ago. Here, we restructured and updated the database to the fifth version, SRDB-V5, with data published through 2017 included. SRDB-V5 aims to be a data framework for the scientific community to share seasonal to annual field Rs measurements, and it provides opportunities for the scientific community to better understand the spatial and temporal variability of Rs.
Kalyn Dorheim, Steven J. Smith, and Ben Bond-Lamberty
Geosci. Model Dev., 14, 365–375, https://doi.org/10.5194/gmd-14-365-2021, https://doi.org/10.5194/gmd-14-365-2021, 2021
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Simple climate models are frequently used in research and decision-making communities because of their tractability and low computational cost. Simple climate models are diverse, including highly idealized and process-based models. Here we present a hybrid approach that combines the strength of two types of simple climate models in a flexible framework. This hybrid approach has provided insights into the climate system and opens an avenue for investigating radiative forcing uncertainties.
Dario Papale
Biogeosciences, 17, 5587–5598, https://doi.org/10.5194/bg-17-5587-2020, https://doi.org/10.5194/bg-17-5587-2020, 2020
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FLUXNET is a large, bottom-up, self-coordinated network of sites. It provided ecosystem–atmosphere greenhouse gas fluxes from stations around the world that were used as bases for a large number of publications and studies. Today many applications require recent updates on the data to track more closely the ecosystem responses to climate change and link ground data with satellite programs. For this reason, a new organization of FLUXNET is needed, keeping as its target the FAIR principles.
Jinshi Jian, Xuan Du, Ryan D. Stewart, Zeli Tan, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-283, https://doi.org/10.5194/essd-2020-283, 2020
Preprint withdrawn
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Field soil loss due to surface runoff observations were compiled into a global database (SoilErosionDB). The database focuses on three erosion-related metrics – surface runoff, soil erosion, and nutrient leaching – and also records background information. Data from 99 geographic sites and 22 countries around the world have been compiled into SoilErosionDB. SoilErosionDB aims to be a data framework for the scientific community to share field-based soil erosion measurements.
Chongya Jiang, Kaiyu Guan, Ming Pan, Youngryel Ryu, Bin Peng, and Sibo Wang
Hydrol. Earth Syst. Sci., 24, 1251–1273, https://doi.org/10.5194/hess-24-1251-2020, https://doi.org/10.5194/hess-24-1251-2020, 2020
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Quantifying crop water use at each field every day is challenging because of the complexity of the evapotranspiration (ET) process and the unavailability of data at high spatiotemporal resolutions. We fuse multi-satellite data and employ a sophisticated model to estimate ET at 30 m resolution and a daily interval. With validation against 86 site years of ground truth in the US Corn Belt, we are confident that our ET estimation is accurate and a reliable tool for water resource management.
Domenico Vitale, Gerardo Fratini, Massimo Bilancia, Giacomo Nicolini, Simone Sabbatini, and Dario Papale
Biogeosciences, 17, 1367–1391, https://doi.org/10.5194/bg-17-1367-2020, https://doi.org/10.5194/bg-17-1367-2020, 2020
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This work describes a data cleaning procedure for the detection of eddy covariance fluxes affected by systematic errors. We believe that the proposed procedure can serve as a basis toward a unified quality control strategy suitable for the centralized data processing pipelines, where the use of completely data-driven and scalable procedures that guarantee high-quality standards and reproducibility of the released products constitutes an essential prerequisite.
Stephanie C. Pennington, Nate G. McDowell, J. Patrick Megonigal, James C. Stegen, and Ben Bond-Lamberty
Biogeosciences, 17, 771–780, https://doi.org/10.5194/bg-17-771-2020, https://doi.org/10.5194/bg-17-771-2020, 2020
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Soil respiration (Rs) is the flow of CO2 from the soil surface to the atmosphere and is one of the largest carbon fluxes on land. This study examined the effect of local basal area (tree area) on Rs in a coastal forest in eastern Maryland, USA. Rs measurements were taken as well as distance from soil collar, diameter, and species of each tree within a 15 m radius. We found that trees within 5 m of our sampling points had a positive effect on how sensitive soil respiration was to temperature.
Calum Brown, Bumsuk Seo, and Mark Rounsevell
Earth Syst. Dynam., 10, 809–845, https://doi.org/10.5194/esd-10-809-2019, https://doi.org/10.5194/esd-10-809-2019, 2019
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Concerns are growing that human activity will lead to social and environmental breakdown, but it is hard to anticipate when and where such breakdowns might occur. We developed a new model of land management decisions in Europe to explore possible future changes and found that decision-making that takes into account social and environmental conditions can produce unexpected outcomes that include societal breakdown in challenging conditions.
Robert Link, Abigail Snyder, Cary Lynch, Corinne Hartin, Ben Kravitz, and Ben Bond-Lamberty
Geosci. Model Dev., 12, 1477–1489, https://doi.org/10.5194/gmd-12-1477-2019, https://doi.org/10.5194/gmd-12-1477-2019, 2019
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Earth system models (ESMs) produce the highest-quality future climate data available, but they are costly to run, so only a few runs from each model are publicly available. What is needed are emulators that tell us what would have happened, if we had been able to perform as many ESM runs as we might have liked. Much of the existing work on emulators has focused on deterministic projections of average values. Here we present a way to imbue emulators with the variability seen in ESM runs.
Katherine Calvin, Pralit Patel, Leon Clarke, Ghassem Asrar, Ben Bond-Lamberty, Ryna Yiyun Cui, Alan Di Vittorio, Kalyn Dorheim, Jae Edmonds, Corinne Hartin, Mohamad Hejazi, Russell Horowitz, Gokul Iyer, Page Kyle, Sonny Kim, Robert Link, Haewon McJeon, Steven J. Smith, Abigail Snyder, Stephanie Waldhoff, and Marshall Wise
Geosci. Model Dev., 12, 677–698, https://doi.org/10.5194/gmd-12-677-2019, https://doi.org/10.5194/gmd-12-677-2019, 2019
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This paper describes GCAM v5.1, an open source model that represents the linkages between energy, water, land, climate, and economic systems. GCAM examines the future evolution of these systems through the end of the 21st century. It can be used to examine, for example, how changes in population, income, or technology cost might alter crop production, energy demand, or water withdrawals, or how changes in one region’s demand for energy affect energy, water, and land in other regions.
Gerardo Fratini, Simone Sabbatini, Kevin Ediger, Brad Riensche, George Burba, Giacomo Nicolini, Domenico Vitale, and Dario Papale
Biogeosciences, 15, 5473–5487, https://doi.org/10.5194/bg-15-5473-2018, https://doi.org/10.5194/bg-15-5473-2018, 2018
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Using a simulation study and field data, we quantify the biases that can be introduced in fluxes measured by eddy covariance (EC) if the raw high-frequency data are affected by random and systematic timing misalignments. Our study was motivated by the increasingly widespread adoption of fully digital EC systems potentially subject to such timing errors. We found biases as large as 10 %. We further propose a test to evaluate EC data logging systems for their time synchronization capabilities.
Yannick Le Page, Douglas Morton, Corinne Hartin, Ben Bond-Lamberty, José Miguel Cardoso Pereira, George Hurtt, and Ghassem Asrar
Earth Syst. Dynam., 8, 1237–1246, https://doi.org/10.5194/esd-8-1237-2017, https://doi.org/10.5194/esd-8-1237-2017, 2017
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Fires damage large areas of eastern Amazon forests when ignitions from human activity coincide with droughts, while more humid central and western regions are less affected. Here, we use a fire model to estimate that fire activity could increase by an order of magnitude without climate mitigation. Our results show that avoiding further agricultural expansion can limit fire ignitions but that tackling climate change is essential to insulate the interior Amazon through the 21st century.
Rhys Whitley, Jason Beringer, Lindsay B. Hutley, Gabriel Abramowitz, Martin G. De Kauwe, Bradley Evans, Vanessa Haverd, Longhui Li, Caitlin Moore, Youngryel Ryu, Simon Scheiter, Stanislaus J. Schymanski, Benjamin Smith, Ying-Ping Wang, Mathew Williams, and Qiang Yu
Biogeosciences, 14, 4711–4732, https://doi.org/10.5194/bg-14-4711-2017, https://doi.org/10.5194/bg-14-4711-2017, 2017
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This paper attempts to review some of the current challenges faced by the modelling community in simulating the behaviour of savanna ecosystems. We provide a particular focus on three dynamic processes (phenology, root-water access, and fire) that are characteristic of savannas, which we believe are not adequately represented in current-generation terrestrial biosphere models. We highlight reasons for these misrepresentations, possible solutions and a future direction for research in this area.
Cary Lynch, Corinne Hartin, Min Chen, and Ben Bond-Lamberty
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-405, https://doi.org/10.5194/bg-2017-405, 2017
Revised manuscript has not been submitted
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Heterotrophic respiration (RH) is a large part of the carbon cycle, but it is poorly simulated by climate models. We examine the relationships between RH and key climate variables to understand this uncertainty in observations and from climate models. Compared to observations, models overestimate both the RH trend and climatological relationships. In the future, the relationship between RH and temperature is strong and can be used to explore a wide range of future scenarios.
James C. Stegen, Carolyn G. Anderson, Ben Bond-Lamberty, Alex R. Crump, Xingyuan Chen, and Nancy Hess
Biogeosciences, 14, 4341–4354, https://doi.org/10.5194/bg-14-4341-2017, https://doi.org/10.5194/bg-14-4341-2017, 2017
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CO2 loss from soil to the atmosphere (
soil respiration) is a key ecosystem function, especially in systems with permafrost. We find that soil respiration shows a non-linear threshold at permafrost depths > 140 cm and that the number of large trees governs soil respiration. This suggests that remote sensing could be used to estimate spatial variation in soil respiration and (with knowledge of key thresholds) empirically constrain models that predict ecosystem responses to permafrost thaw.
Miguel D. Mahecha, Fabian Gans, Sebastian Sippel, Jonathan F. Donges, Thomas Kaminski, Stefan Metzger, Mirco Migliavacca, Dario Papale, Anja Rammig, and Jakob Zscheischler
Biogeosciences, 14, 4255–4277, https://doi.org/10.5194/bg-14-4255-2017, https://doi.org/10.5194/bg-14-4255-2017, 2017
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We investigate the likelihood of ecological in situ networks to detect and monitor the impact of extreme events in the terrestrial biosphere.
Jakob Zscheischler, Miguel D. Mahecha, Valerio Avitabile, Leonardo Calle, Nuno Carvalhais, Philippe Ciais, Fabian Gans, Nicolas Gruber, Jens Hartmann, Martin Herold, Kazuhito Ichii, Martin Jung, Peter Landschützer, Goulven G. Laruelle, Ronny Lauerwald, Dario Papale, Philippe Peylin, Benjamin Poulter, Deepak Ray, Pierre Regnier, Christian Rödenbeck, Rosa M. Roman-Cuesta, Christopher Schwalm, Gianluca Tramontana, Alexandra Tyukavina, Riccardo Valentini, Guido van der Werf, Tristram O. West, Julie E. Wolf, and Markus Reichstein
Biogeosciences, 14, 3685–3703, https://doi.org/10.5194/bg-14-3685-2017, https://doi.org/10.5194/bg-14-3685-2017, 2017
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Here we synthesize a wide range of global spatiotemporal observational data on carbon exchanges between the Earth surface and the atmosphere. A key challenge was to consistently combining observational products of terrestrial and aquatic surfaces. Our primary goal is to identify today’s key uncertainties and observational shortcomings that would need to be addressed in future measurement campaigns or expansions of in situ observatories.
Cary Lynch, Corinne Hartin, Ben Bond-Lamberty, and Ben Kravitz
Earth Syst. Sci. Data, 9, 281–292, https://doi.org/10.5194/essd-9-281-2017, https://doi.org/10.5194/essd-9-281-2017, 2017
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Pattern scaling climate model output is a computationally efficient way to produce a large amount of data for purposes of uncertainty quantification. Using a multi-model ensemble we explore pattern scaling methodologies across two future forcing scenarios. We find that the simple least squares approach to pattern scaling produces a close approximation of actual model output, and we use this as a justification for the creation of an open-access pattern library at multiple time increments.
Ben Kravitz, Cary Lynch, Corinne Hartin, and Ben Bond-Lamberty
Geosci. Model Dev., 10, 1889–1902, https://doi.org/10.5194/gmd-10-1889-2017, https://doi.org/10.5194/gmd-10-1889-2017, 2017
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Pattern scaling is a way of approximating regional changes without needing to run a full, complex global climate model. We compare two methods of pattern scaling for precipitation and evaluate which methods is
betterin particular circumstances. We also decompose precipitation into a CO2 portion and a non-CO2 portion. The methodologies discussed in this paper can help provide precipitation fields for other models for a wide variety of scenarios of future climate change.
Ben Bond-Lamberty, A. Peyton Smith, and Vanessa Bailey
Biogeosciences, 13, 6669–6681, https://doi.org/10.5194/bg-13-6669-2016, https://doi.org/10.5194/bg-13-6669-2016, 2016
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We used a laboratory experiment to examine how climate change and permafrost melting might alter soils in high-latitude regions. Soils were subjected to two temperatures and drought, and gas emissions were monitored. Carbon dioxide fluxes were influenced by temperature, water, and soil nitrogen, while methane emissions were much smaller and linked only with nitrogen. This suggests that such soils may be very sensitive to changes in moisture as discontinuous permafrost thaws in interior Alaska.
Dong-Gill Kim, Andrew D. Thomas, David Pelster, Todd S. Rosenstock, and Alberto Sanz-Cobena
Biogeosciences, 13, 4789–4809, https://doi.org/10.5194/bg-13-4789-2016, https://doi.org/10.5194/bg-13-4789-2016, 2016
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African natural ecosystems and agricultural lands are a significant source of GHG. However, there are huge research gaps and understanding of Africa's contribution to global GHG emissions remains highly uncertain. The strategy for addressing this data gap involves identifying priorities for data acquisition, utilizing appropriate technologies, and establishing networks and collaboration.
Corinne A. Hartin, Benjamin Bond-Lamberty, Pralit Patel, and Anupriya Mundra
Biogeosciences, 13, 4329–4342, https://doi.org/10.5194/bg-13-4329-2016, https://doi.org/10.5194/bg-13-4329-2016, 2016
Gianluca Tramontana, Martin Jung, Christopher R. Schwalm, Kazuhito Ichii, Gustau Camps-Valls, Botond Ráduly, Markus Reichstein, M. Altaf Arain, Alessandro Cescatti, Gerard Kiely, Lutz Merbold, Penelope Serrano-Ortiz, Sven Sickert, Sebastian Wolf, and Dario Papale
Biogeosciences, 13, 4291–4313, https://doi.org/10.5194/bg-13-4291-2016, https://doi.org/10.5194/bg-13-4291-2016, 2016
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We have evaluated 11 machine learning (ML) methods and two complementary drivers' setup to estimate the carbon dioxide (CO2) and energy exchanges between land ecosystems and atmosphere. Obtained results have shown high consistency among ML and high capability to estimate the spatial and seasonal variability of the target fluxes. The results were good for all the ecosystems, with limitations to the ones in the extreme environments (cold, hot) or less represented in the training data (tropics).
Cary Lynch, Corinne Hartin, Ben Bond-Lamberty, and Ben Kravitz
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2016-170, https://doi.org/10.5194/gmd-2016-170, 2016
Revised manuscript not accepted
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Pattern scaling is used to explore uncertainty in future forcing scenarios and assess local climate sensitivity to global temperature change. This paper examines the two dominant pattern scaling methods using a multi-model ensemble with two future socio-economic storylines. We find that high latitudes show the strongest sensitivity to global temperature change and that the simple least squared regression approach to generation of patterns is a better fit to projected global temperature.
S. Sabbatini, N. Arriga, T. Bertolini, S. Castaldi, T. Chiti, C. Consalvo, S. Njakou Djomo, B. Gioli, G. Matteucci, and D. Papale
Biogeosciences, 13, 95–113, https://doi.org/10.5194/bg-13-95-2016, https://doi.org/10.5194/bg-13-95-2016, 2016
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The suitability of a land use change (LUC) from cropland to short rotation coppice of poplar in Central Italy was investigated by comparing the respective greenhouse gas budgets. Biogenic and anthropogenic CO2, CH4, and N2O fluxes, change in soil C stocks, and effects of biomass use were considered. In 2 years the LUC saved 2358 ± 835 gCO2eq m-2. Net ecosystem exchange of CO2 and C exports represented the main contributions to the overall budgets, while soil non-CO2 fluxes were negligible.
L. Wingate, J. Ogée, E. Cremonese, G. Filippa, T. Mizunuma, M. Migliavacca, C. Moisy, M. Wilkinson, C. Moureaux, G. Wohlfahrt, A. Hammerle, L. Hörtnagl, C. Gimeno, A. Porcar-Castell, M. Galvagno, T. Nakaji, J. Morison, O. Kolle, A. Knohl, W. Kutsch, P. Kolari, E. Nikinmaa, A. Ibrom, B. Gielen, W. Eugster, M. Balzarolo, D. Papale, K. Klumpp, B. Köstner, T. Grünwald, R. Joffre, J.-M. Ourcival, M. Hellstrom, A. Lindroth, C. George, B. Longdoz, B. Genty, J. Levula, B. Heinesch, M. Sprintsin, D. Yakir, T. Manise, D. Guyon, H. Ahrends, A. Plaza-Aguilar, J. H. Guan, and J. Grace
Biogeosciences, 12, 5995–6015, https://doi.org/10.5194/bg-12-5995-2015, https://doi.org/10.5194/bg-12-5995-2015, 2015
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The timing of plant development stages and their response to climate and management were investigated using a network of digital cameras installed across different European ecosystems. Using the relative red, green and blue content of images we showed that the green signal could be used to estimate the length of the growing season in broadleaf forests. We also developed a model that predicted the seasonal variations of camera RGB signals and how they relate to leaf pigment content and area well.
W. D. Collins, A. P. Craig, J. E. Truesdale, A. V. Di Vittorio, A. D. Jones, B. Bond-Lamberty, K. V. Calvin, J. A. Edmonds, S. H. Kim, A. M. Thomson, P. Patel, Y. Zhou, J. Mao, X. Shi, P. E. Thornton, L. P. Chini, and G. C. Hurtt
Geosci. Model Dev., 8, 2203–2219, https://doi.org/10.5194/gmd-8-2203-2015, https://doi.org/10.5194/gmd-8-2203-2015, 2015
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The integrated Earth system model (iESM) has been developed as a
new tool for projecting the joint human-climate system. The
iESM is based upon coupling an integrated assessment model (IAM)
and an Earth system model (ESM) into a common modeling
infrastructure. By introducing heretofore-omitted
feedbacks between natural and societal drivers in iESM, we can improve
scientific understanding of the human-Earth system
dynamics.
H. van Asperen, T. Warneke, S. Sabbatini, G. Nicolini, D. Papale, and J. Notholt
Biogeosciences, 12, 4161–4174, https://doi.org/10.5194/bg-12-4161-2015, https://doi.org/10.5194/bg-12-4161-2015, 2015
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Recent studies have suggested the potential importance of abiotic decomposition (photodegradation) in arid ecosystems. This study focuses on the measurement and understanding of abiotic fluxes. Photodegradation fluxes have not been observed. Thermal degradation fluxes were observed in the field (for CO) and in the laboratory (for CO2 and CO). Previous studies have potentially overestimated the role of photodegradation or misinterpreted thermal degradation fluxes as photodegradation fluxes.
N. Vuichard and D. Papale
Earth Syst. Sci. Data, 7, 157–171, https://doi.org/10.5194/essd-7-157-2015, https://doi.org/10.5194/essd-7-157-2015, 2015
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In order to fill the gaps in the in situ meteorological data that is acquired at FLUXNET stations, we develop a method that makes use of the reanalysis ERA-interim, which is available globally and at a high temporal resolution. Because the ERA-interim data are not measured at site level, we bias-correct them. The developed method is applied and evaluated at 153 FLUXNET stations. The final product consists of uninterrupted meteorological records that can be used for running most ecosystem models.
M. Balzarolo, L. Vescovo, A. Hammerle, D. Gianelle, D. Papale, E. Tomelleri, and G. Wohlfahrt
Biogeosciences, 12, 3089–3108, https://doi.org/10.5194/bg-12-3089-2015, https://doi.org/10.5194/bg-12-3089-2015, 2015
C. A. Hartin, P. Patel, A. Schwarber, R. P. Link, and B. P. Bond-Lamberty
Geosci. Model Dev., 8, 939–955, https://doi.org/10.5194/gmd-8-939-2015, https://doi.org/10.5194/gmd-8-939-2015, 2015
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Simple climate models play an integral role in policy and scientific communities. Hector v1.0 is an open-source, object-oriented, simple global climate carbon-cycle model. Hector reproduces the global historical trends of atmospheric [CO2], radiative forcing, and surface temperatures. Hector simulates all four representative concentration pathways with equivalent rates of change of key variables over time compared to current observations and other models.
B. Bond-Lamberty, J. P. Fisk, J. A. Holm, V. Bailey, G. Bohrer, and C. M. Gough
Biogeosciences, 12, 513–526, https://doi.org/10.5194/bg-12-513-2015, https://doi.org/10.5194/bg-12-513-2015, 2015
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How will aging forests behave as they undergo ecological transitions? Can our models, which support scientific, policy, and management analyses, accurately simulate these transitions? We tested whether three forest ecosystem models could reproduce dynamics observed in an experimentally manipulated forest in northern Michigan, USA. None of the models fully captured the post-disturbance C fluxes observed, raising doubts about their ability to simulate tree death after moderate disturbances.
M. Balzarolo, S. Boussetta, G. Balsamo, A. Beljaars, F. Maignan, J.-C. Calvet, S. Lafont, A. Barbu, B. Poulter, F. Chevallier, C. Szczypta, and D. Papale
Biogeosciences, 11, 2661–2678, https://doi.org/10.5194/bg-11-2661-2014, https://doi.org/10.5194/bg-11-2661-2014, 2014
G. Fratini, D. K. McDermitt, and D. Papale
Biogeosciences, 11, 1037–1051, https://doi.org/10.5194/bg-11-1037-2014, https://doi.org/10.5194/bg-11-1037-2014, 2014
R. Valentini, A. Arneth, A. Bombelli, S. Castaldi, R. Cazzolla Gatti, F. Chevallier, P. Ciais, E. Grieco, J. Hartmann, M. Henry, R. A. Houghton, M. Jung, W. L. Kutsch, Y. Malhi, E. Mayorga, L. Merbold, G. Murray-Tortarolo, D. Papale, P. Peylin, B. Poulter, P. A. Raymond, M. Santini, S. Sitch, G. Vaglio Laurin, G. R. van der Werf, C. A. Williams, and R. J. Scholes
Biogeosciences, 11, 381–407, https://doi.org/10.5194/bg-11-381-2014, https://doi.org/10.5194/bg-11-381-2014, 2014
D.-G. Kim and M. U. F. Kirschbaum
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-1053-2014, https://doi.org/10.5194/bgd-11-1053-2014, 2014
Revised manuscript not accepted
G. Lasslop, M. Migliavacca, G. Bohrer, M. Reichstein, M. Bahn, A. Ibrom, C. Jacobs, P. Kolari, D. Papale, T. Vesala, G. Wohlfahrt, and A. Cescatti
Biogeosciences, 9, 5243–5259, https://doi.org/10.5194/bg-9-5243-2012, https://doi.org/10.5194/bg-9-5243-2012, 2012
Related subject area
Biogeochemistry: Greenhouse Gases
Observations of methane net sinks in the upland Arctic tundra
Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich
CO2 flux characteristics of the open savanna and its response to environmental factors in the dry–hot valley of Jinsha River, China
Rising Arctic seas and thawing permafrost: uncovering the carbon cycle impact in a thermokarst lagoon system in the outer Mackenzie Delta, Canada
Modelling decadal trends and the impact of extreme events on carbon fluxes in a temperate deciduous forest using a terrestrial biosphere model
Surface CO2 gradients challenge conventional CO2 emission quantification in lentic water bodies under calm conditions
Spatiotemporal variability of CO2, N2O and CH4 fluxes from a semi-deciduous tropical forest soil in the Congo Basin
Eddy-covariance fluxes of CO2, CH4 and N2O in a drained peatland forest after clear-cutting
Eddy covariance evaluation of ecosystem fluxes at a temperate saltmarsh in Victoria, Australia, shows large CO2 uptake
Interferences caused by the biogeochemical methane cycle in peats during the assessment of abandoned oil wells
Carbon sequestration in different urban vegetation types in Southern Finland
Groundwater-CO2 Emissions Relationship in Dutch Peatlands Derived by Machine Learning Using Airborne and Ground-Based Eddy Covariance Data
Proglacial methane emissions driven by meltwater and groundwater flushing in a high-Arctic glacial catchment
Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT
Water chemistry and greenhouse gas concentrations in waterbodies of a thawing permafrost peatland complex in northern Norway
Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe
Ensemble estimates of global wetland methane emissions over 2000–2020
Seasonal carbon fluxes from vegetation and soil in a Mediterranean non-tidal salt marsh
Explainable machine learning for modeling of net ecosystem exchange in boreal forests
Dynamics of CO2 and CH4 fluxes in Red Sea mangrove soils
Inferring methane emissions from African livestock by fusing drone, tower, and satellite data
Nitrous oxide (N2O) in Macquarie Harbour, Tasmania
Technical note: A low-cost, automatic soil–plant–atmosphere enclosure system to investigate CO2 and evapotranspiration flux dynamics
Tidal influence on carbon dioxide and methane fluxes from tree stems and soils in mangrove forests
Drought conditions disrupt atmospheric carbon uptake in a Mediterranean saline lake
Physicochemical perturbation increases nitrous oxide production from denitrification in soils and sediments
Uncertainties in carbon emissions from land use and land cover change in Indonesia
Carbon degradation and mobilisation potentials of thawing permafrost peatlands in northern Norway inferred from laboratory incubations
Saturating response of photosynthesis to increasing leaf area index allows selective harvest of trees without affecting forest productivity
Seasonal dynamics and regional distribution patterns of CO2 and CH4 in the north-eastern Baltic Sea
Interannual and seasonal variability of the air–sea CO2 exchange at Utö in the coastal region of the Baltic Sea
CO2 emissions of drained coastal peatlands in the Netherlands and potential emission reduction by water infiltration systems
Influence of wind strength and direction on diffusive methane fluxes and atmospheric methane concentrations above the North Sea
Using eddy covariance observations to determine the carbon sequestration characteristics of subalpine forests in the Qinghai–Tibet Plateau
Isotopomer labeling and oxygen dependence of hybrid nitrous oxide production
The emission of CO from tropical rainforest soils
Modelling CO2 and N2O emissions from soils in silvopastoral systems of the West African Sahelian band
A case study on topsoil removal and rewetting for paludiculture: effect on biogeochemistry and greenhouse gas emissions from Typha latifolia, Typha angustifolia, and Azolla filiculoides
Methane, carbon dioxide and nitrous oxide emissions from two clear-water and two turbid-water urban ponds in Brussels (Belgium)
Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling
Timescale dependence of airborne fraction and underlying climate–carbon-cycle feedbacks for weak perturbations in CMIP5 models
Technical note: Preventing CO2 overestimation from mercuric or copper(II) chloride preservation of dissolved greenhouse gases in freshwater samples
Exploring temporal and spatial variation of nitrous oxide flux using several years of peatland forest automatic chamber data
Diurnal versus spatial variability of greenhouse gas emissions from an anthropogenically modified lowland river in Germany
Regional assessment and uncertainty analysis of carbon and nitrogen balances at cropland scale using the ecosystem model LandscapeDNDC
Resolving heterogeneous fluxes from tundra halves the growing season carbon budget
Lawns and meadows in urban green space – a comparison from perspectives of greenhouse gases, drought resilience and plant functional types
Large contribution of soil N2O emission to the global warming potential of a large-scale oil palm plantation despite changing from conventional to reduced management practices
Identifying landscape hot and cold spots of soil greenhouse gas fluxes by combining field measurements and remote sensing data
Enhanced Southern Ocean CO2 outgassing as a result of stronger and poleward shifted southern hemispheric westerlies
Antonio Donateo, Daniela Famulari, Donato Giovannelli, Arturo Mariani, Mauro Mazzola, Stefano Decesari, and Gianluca Pappaccogli
Biogeosciences, 22, 2889–2908, https://doi.org/10.5194/bg-22-2889-2025, https://doi.org/10.5194/bg-22-2889-2025, 2025
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This study focuses on measurements of CO2 and CH4 turbulent fluxes in tundra ecosystems in the Svalbard islands over a 2-year period. Our results reveal dynamic interactions between climatic conditions and ecosystem activities such as photosynthesis and microbial activity. In summer, photosynthesis and microbial activity increase, leading to net carbon uptake and methane consumption. Wind influences soil drying and CH4 emissions. Thermal anomalies can reduce annual carbon uptake.
Stavros Stagakis, Dominik Brunner, Junwei Li, Leif Backman, Anni Karvonen, Lionel Constantin, Leena Järvi, Minttu Havu, Jia Chen, Sophie Emberger, and Liisa Kulmala
Biogeosciences, 22, 2133–2161, https://doi.org/10.5194/bg-22-2133-2025, https://doi.org/10.5194/bg-22-2133-2025, 2025
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The balance between CO2 uptake and emissions from urban green areas is still not well understood. This study evaluated for the first time the urban park CO2 exchange simulations with four different types of biosphere model by comparing them with observations. Even though some advantages and disadvantages of the different model types were identified, there was no strong evidence that more complex models performed better than simple ones.
Chaolei Yang, Yufeng Tian, Jingqi Cui, Guangxiong He, Jingyuan Li, Canfeng Li, Haichuang Duan, Zong Wei, Liu Yan, Xin Xia, Yong Huang, Aihua Jiang, and Yuwen Feng
Biogeosciences, 22, 2097–2114, https://doi.org/10.5194/bg-22-2097-2025, https://doi.org/10.5194/bg-22-2097-2025, 2025
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Due to the influence of extreme-drought events in southwest China, the carbon sequestration capacity of the open savanna in the dry–hot valley of the Jinsha River has been significantly diminished, with soil water content being the key environmental factor governing CO2 flux. Under the climate scenario where the frequency and severity of extreme droughts are expected to continue increasing, the CO2 emissions from the open savanna are also anticipated to rise persistently.
Maren Jenrich, Juliane Wolter, Susanne Liebner, Christian Knoblauch, Guido Grosse, Fiona Giebeler, Dustin Whalen, and Jens Strauss
Biogeosciences, 22, 2069–2086, https://doi.org/10.5194/bg-22-2069-2025, https://doi.org/10.5194/bg-22-2069-2025, 2025
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Climate warming in the Arctic is causing the erosion of permafrost coasts and the transformation of permafrost lakes into lagoons. To understand how this affects greenhouse gas (GHG) emissions, we studied carbon dioxide (CO₂) and methane (CH₄) production in lagoons with varying sea connections. Younger lagoons produce more CH₄, while CO₂ increases under more marine conditions. Flooding of permafrost lowlands due to rising sea levels may lead to higher GHG emissions from Arctic coasts in future.
Tea Thum, Tuuli Miinalainen, Outi Seppälä, Holly Croft, Cheryl Rogers, Ralf Staebler, Silvia Caldararu, and Sönke Zaehle
Biogeosciences, 22, 1781–1807, https://doi.org/10.5194/bg-22-1781-2025, https://doi.org/10.5194/bg-22-1781-2025, 2025
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Climate change has the potential to influence the carbon sequestration potential of terrestrial ecosystems, and here the nitrogen cycle is also important. We used the terrestrial biosphere model QUINCY (QUantifying Interactions between terrestrial Nutrient CYcles and the climate system) in a mixed deciduous forest in Canada. We investigated the usefulness of using the leaf area index and leaf chlorophyll content to improve the parameterization of the model. This work paves the way for using spaceborne observations in model parameterizations, also including information on the nitrogen cycle.
Patrick Aurich, Uwe Spank, and Matthias Koschorreck
Biogeosciences, 22, 1697–1709, https://doi.org/10.5194/bg-22-1697-2025, https://doi.org/10.5194/bg-22-1697-2025, 2025
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Lakes can be sources and sinks of the greenhouse gas carbon dioxide. The gas exchange between the atmosphere and the water can be measured by taking gas samples from them. However, the depth of water samples is not well defined, which may cause errors. We hypothesized that gradients of CO2 concentrations develop under the surface when wind speeds are very low. Our measurements show that such a gradient can occur on calm nights, potentially shifting lakes from a CO2 sink to a source.
Roxanne Daelman, Marijn Bauters, Matti Barthel, Emmanuel Bulonza, Lodewijk Lefevre, José Mbifo, Johan Six, Klaus Butterbach-Bahl, Benjamin Wolf, Ralf Kiese, and Pascal Boeckx
Biogeosciences, 22, 1529–1542, https://doi.org/10.5194/bg-22-1529-2025, https://doi.org/10.5194/bg-22-1529-2025, 2025
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The increase in atmospheric concentrations of several greenhouse gases (GHGs) since 1750 is attributed to human activity. However, natural ecosystems, such as tropical forests, also contribute to GHG budgets. The Congo Basin hosts the second largest tropical forest and is understudied. In this study, measurements of soil GHG exchange were carried out during 16 months in a tropical forest in the Congo Basin. Overall, the soil acted as a major source of CO2 and N2O and a minor sink of CH4.
Olli-Pekka Tikkasalo, Olli Peltola, Pavel Alekseychik, Juha Heikkinen, Samuli Launiainen, Aleksi Lehtonen, Qian Li, Eduardo Martínez-García, Mikko Peltoniemi, Petri Salovaara, Ville Tuominen, and Raisa Mäkipää
Biogeosciences, 22, 1277–1300, https://doi.org/10.5194/bg-22-1277-2025, https://doi.org/10.5194/bg-22-1277-2025, 2025
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The emissions of greenhouse gases (GHGs) carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) were measured from a clear-cut peatland forest site. The measurements covered the whole year of 2022, which was the second growing season after the clear-cut. The site was a strong GHG source, and the highest emissions came from CO2, followed by N2O and CH4. A statistical model that included information on different surfaces at the site was developed to unravel surface-type-specific GHG fluxes.
Ruth Reef, Edoardo Daly, Tivanka Anandappa, Eboni-Jane Vienna-Hallam, Harriet Robertson, Matthew Peck, and Adrien Guyot
Biogeosciences, 22, 1149–1162, https://doi.org/10.5194/bg-22-1149-2025, https://doi.org/10.5194/bg-22-1149-2025, 2025
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Studies show that saltmarshes excel at capturing carbon from the atmosphere. In this study, we measured CO2 flux in an Australian temperate saltmarsh on French Island. The temperate saltmarsh exhibited strong seasonality. During the warmer growing season, the saltmarsh absorbed 10.5 g CO2 m−2 on average daily from the atmosphere. Even in winter, when plants were dormant, it continued to be a CO2 sink, albeit a smaller one. Cool temperatures and high cloud cover inhibit carbon sequestration.
Sebastian F. A. Jordan, Stefan Schloemer, Martin Krüger, Tanja Heffner, Marcus A. Horn, and Martin Blumenberg
Biogeosciences, 22, 809–830, https://doi.org/10.5194/bg-22-809-2025, https://doi.org/10.5194/bg-22-809-2025, 2025
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Using a multilayer approach, we studied the methane flux, soil gas composition, and isotopic signatures of soil methane and carbon dioxide at eight cut and buried abandoned oil wells in a peat-rich area of northern Germany. The detected methane emissions were of biogenic, peat origin and were not associated with the abandoned wells. Additional microbial analysis and methane oxidation rate measurements demonstrated a high methane emission mitigation potential in the studied peat soils.
Laura Thölix, Leif Backman, Minttu Havu, Esko Karvinen, Jesse Soininen, Justine Trémeau, Olli Nevalainen, Joyson Ahongshangbam, Leena Järvi, and Liisa Kulmala
Biogeosciences, 22, 725–749, https://doi.org/10.5194/bg-22-725-2025, https://doi.org/10.5194/bg-22-725-2025, 2025
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Cities aim for carbon neutrality and seek to understand urban vegetation's role as a carbon sink. Direct measurements are challenging, so models are used to estimate the urban carbon cycle. We evaluated model performance at estimating carbon sequestration in lawns, park trees, and urban forests in Helsinki, Finland. Models captured seasonal and annual variations well. Trees had higher sequestration rates than lawns, and irrigation often enhanced carbon sinks.
Laura M. van der Poel, Laurent V. Bataille, Bart Kruijt, Wietse Franssen, Wilma Jans, Jan Biermann, Anne Rietman, Alex J. V. Buzacott, Ype van der Velde, Ruben Boelens, and Ronald W. A. Hutjes
EGUsphere, https://doi.org/10.5194/egusphere-2025-431, https://doi.org/10.5194/egusphere-2025-431, 2025
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We combine two types of carbon dioxide (CO2) data from Dutch peatlands in a machine learning model: from fixed measurement towers and from a light research aircraft. We find that emissions increase with deeper water table depths (WTD) by 4.6 tonnes CO2 per hectare per year, per 10 cm deeper WTD on average. The effect is stronger in winter than in summer and varies between locations. This variability should be taken into account when developing mitigation measures.
Gabrielle E. Kleber, Leonard Magerl, Alexandra V. Turchyn, Stefan Schloemer, Mark Trimmer, Yizhu Zhu, and Andrew Hodson
Biogeosciences, 22, 659–674, https://doi.org/10.5194/bg-22-659-2025, https://doi.org/10.5194/bg-22-659-2025, 2025
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Our research on Svalbard shows that glacier melt rivers can transport large amounts of methane, a potent greenhouse gas. By studying a glacier over one summer, we found that its river was highly concentrated in methane, suggesting that rivers could provide a significant source of methane emissions as the Arctic warms and glaciers melt. This is the first time such emissions have been measured on Svalbard, indicating a wider environmental concern as such processes are occurring across the Arctic.
Eva-Marie Metz, Sanam Noreen Vardag, Sourish Basu, Martin Jung, and André Butz
Biogeosciences, 22, 555–584, https://doi.org/10.5194/bg-22-555-2025, https://doi.org/10.5194/bg-22-555-2025, 2025
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We estimate CO2 fluxes in semiarid southern Africa from 2009 to 2018 based on satellite CO2 measurements and atmospheric inverse modeling. By selecting process-based vegetation models, which agree with the satellite CO2 fluxes, we find that soil respiration mainly drives the seasonality, whereas photosynthesis substantially influences the interannual variability. Our study emphasizes the need for better representation of the response of semiarid ecosystems to soil rewetting in vegetation models.
Jacqueline Kay Knutson, François Clayer, Peter Dörsch, Sebastian Westermann, and Heleen A. de Wit
EGUsphere, https://doi.org/10.5194/egusphere-2025-184, https://doi.org/10.5194/egusphere-2025-184, 2025
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Thawing permafrost at Iškoras in northern Norway is transforming peat plateaus into thermokarst ponds and wetlands. These small ponds show striking oversaturation of dissolved greenhouse gases like carbon dioxide (CO2) and methane (CH4), partly due to organic matter processing. Streams nearby emit CO2 driven by turbulence. As permafrost disappears, carbon dynamics will change, potentially increasing emissions of CH4. This study highlights the need to integrate these changes into climate models.
Tuula Aalto, Aki Tsuruta, Jarmo Mäkelä, Jurek Müller, Maria Tenkanen, Eleanor Burke, Sarah Chadburn, Yao Gao, Vilma Mannisenaho, Thomas Kleinen, Hanna Lee, Antti Leppänen, Tiina Markkanen, Stefano Materia, Paul A. Miller, Daniele Peano, Olli Peltola, Benjamin Poulter, Maarit Raivonen, Marielle Saunois, David Wårlind, and Sönke Zaehle
Biogeosciences, 22, 323–340, https://doi.org/10.5194/bg-22-323-2025, https://doi.org/10.5194/bg-22-323-2025, 2025
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Wetland methane responses to temperature and precipitation were studied in a boreal wetland-rich region in northern Europe using ecosystem models, atmospheric inversions, and upscaled flux observations. The ecosystem models differed in their responses to temperature and precipitation and in their seasonality. However, multi-model means, inversions, and upscaled fluxes had similar seasonality, and they suggested co-limitation by temperature and precipitation.
Zhen Zhang, Benjamin Poulter, Joe R. Melton, William J. Riley, George H. Allen, David J. Beerling, Philippe Bousquet, Josep G. Canadell, Etienne Fluet-Chouinard, Philippe Ciais, Nicola Gedney, Peter O. Hopcroft, Akihiko Ito, Robert B. Jackson, Atul K. Jain, Katherine Jensen, Fortunat Joos, Thomas Kleinen, Sara H. Knox, Tingting Li, Xin Li, Xiangyu Liu, Kyle McDonald, Gavin McNicol, Paul A. Miller, Jurek Müller, Prabir K. Patra, Changhui Peng, Shushi Peng, Zhangcai Qin, Ryan M. Riggs, Marielle Saunois, Qing Sun, Hanqin Tian, Xiaoming Xu, Yuanzhi Yao, Yi Xi, Wenxin Zhang, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Biogeosciences, 22, 305–321, https://doi.org/10.5194/bg-22-305-2025, https://doi.org/10.5194/bg-22-305-2025, 2025
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This study assesses global methane emissions from wetlands between 2000 and 2020 using multiple models. We found that wetland emissions increased by 6–7 Tg CH4 yr-1 in the 2010s compared to the 2000s. Rising temperatures primarily drove this increase, while changes in precipitation and CO2 levels also played roles. Our findings highlight the importance of wetlands in the global methane budget and the need for continuous monitoring to understand their impact on climate change.
Lorena Carrasco-Barea, Dolors Verdaguer, Maria Gispert, Xavier D. Quintana, Hélène Bourhis, and Laura Llorens
Biogeosciences, 22, 289–304, https://doi.org/10.5194/bg-22-289-2025, https://doi.org/10.5194/bg-22-289-2025, 2025
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Carbon dioxide fluxes have been measured seasonally in four plant species in a Mediterranean non-tidal salt marsh, highlighting the high carbon removal potential that these species have. Carbon dioxide and methane emissions from soil showed high variability among the habitats studied, and they were generally higher than those observed in tidal salt marshes. Our results are important for making more accurate predictions regarding carbon emissions from these ecosystems.
Ekaterina Ezhova, Topi Laanti, Anna Lintunen, Pasi Kolari, Tuomo Nieminen, Ivan Mammarella, Keijo Heljanko, and Markku Kulmala
Biogeosciences, 22, 257–288, https://doi.org/10.5194/bg-22-257-2025, https://doi.org/10.5194/bg-22-257-2025, 2025
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Machine learning (ML) models are gaining popularity in biogeosciences. They are applied as gap-filling methods and used to upscale carbon fluxes to larger areas. Here we use explainable artificial intelligence (XAI) methods to elucidate the performance of machine learning models for carbon dioxide fluxes in boreal forests. We show that statistically equal models treat input variables differently. XAI methods can help scientists make informed decisions when applying ML models in their research.
Jessica Breavington, Alexandra Steckbauer, Chuancheng Fu, Mongi Ennasri, and Carlos M. Duarte
Biogeosciences, 22, 117–134, https://doi.org/10.5194/bg-22-117-2025, https://doi.org/10.5194/bg-22-117-2025, 2025
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Mangrove carbon storage in the Red Sea is lower than average due to challenging growth conditions. We collected mangrove soil cores over multiple seasons to measure greenhouse gas (GHG) flux of carbon dioxide and methane. GHG emissions are a small offset to mangrove carbon storage overall but punctuated by periods of high emission. This variation is linked to environmental and soil properties, which were also measured. The findings aid understanding of GHG dynamics in arid mangrove ecosystems.
Alouette van Hove, Kristoffer Aalstad, Vibeke Lind, Claudia Arndt, Vincent Odongo, Rodolfo Ceriani, Francesco Fava, John Hulth, and Norbert Pirk
EGUsphere, https://doi.org/10.5194/egusphere-2024-3994, https://doi.org/10.5194/egusphere-2024-3994, 2025
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Research on methane emissions from African livestock is limited. We used a probabilistic method fusing drone and flux tower observations with an atmospheric model to estimate emissions from various herds. This approach proved robust under non-stationary wind conditions and effective in estimating emissions as low as 100 g h-1. We also detected herd locations using spectral anomalies in satellite data. Our approach can be used to estimate diverse sources, thereby improving emission inventories.
Johnathan Daniel Maxey, Neil D. Hartstein, Hermann W. Bange, and Moritz Müller
Biogeosciences, 21, 5613–5637, https://doi.org/10.5194/bg-21-5613-2024, https://doi.org/10.5194/bg-21-5613-2024, 2024
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The distribution of N2O in fjord-like estuaries is poorly described in the Southern Hemisphere. Our study describes N2O distribution and its drivers in one such system in Macquarie Harbour, Tasmania. Water samples were collected seasonally in 2022 and 2023. Results show the system removes atmospheric N2O when river flow is high, whereas the system emits N2O when the river flow is low. N2O generated in basins is intercepted by the surface water and exported to the ocean during high river flow.
Wael Al Hamwi, Maren Dubbert, Jörg Schaller, Matthias Lück, Marten Schmidt, and Mathias Hoffmann
Biogeosciences, 21, 5639–5651, https://doi.org/10.5194/bg-21-5639-2024, https://doi.org/10.5194/bg-21-5639-2024, 2024
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We present a fully automatic, low-cost soil–plant enclosure system to monitor CO2 and evapotranspiration fluxes within greenhouse experiments. It operates in two modes: independent, using low-cost sensors, and dependent, where multiple chambers connect to a single gas analyzer via a low-cost multiplexer. This system provides precise, accurate measurements and high temporal resolution, enabling comprehensive monitoring of plant–soil responses to various treatments and conditions.
Zhao-Jun Yong, Wei-Jen Lin, Chiao-Wen Lin, and Hsing-Juh Lin
Biogeosciences, 21, 5247–5260, https://doi.org/10.5194/bg-21-5247-2024, https://doi.org/10.5194/bg-21-5247-2024, 2024
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We measured CO2 and CH4 fluxes from mangrove stems and soils of Avicennia marina and Kandelia obovata during tidal cycles. Both stem types served as CO2 and CH4 sources, emitting less CH4 than soils, with no difference in CO2 flux. While A. marina stems showed increased CO2 fluxes from low to high tides, they acted as a CH4 sink before flooding and as a source after ebbing. However, K. obovata stems showed no flux pattern. This study highlights the need to consider tidal influence and species.
Ihab Alfadhel, Ignacio Peralta-Maraver, Isabel Reche, Enrique P. Sánchez-Cañete, Sergio Aranda-Barranco, Eva Rodríguez-Velasco, Andrew S. Kowalski, and Penélope Serrano-Ortiz
Biogeosciences, 21, 5117–5129, https://doi.org/10.5194/bg-21-5117-2024, https://doi.org/10.5194/bg-21-5117-2024, 2024
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Inland saline lakes are crucial in the global carbon cycle, but increased droughts may alter their carbon exchange capacity. We measured CO2 and CH4 fluxes in a Mediterranean saline lake using the eddy covariance method under dry and wet conditions. We found the lake acts as a carbon sink during wet periods but not during droughts. These results highlight the importance of saline lakes in carbon sequestration and their vulnerability to climate-change-induced droughts.
Nathaniel B. Weston, Cynthia Troy, Patrick J. Kearns, Jennifer L. Bowen, William Porubsky, Christelle Hyacinthe, Christof Meile, Philippe Van Cappellen, and Samantha B. Joye
Biogeosciences, 21, 4837–4851, https://doi.org/10.5194/bg-21-4837-2024, https://doi.org/10.5194/bg-21-4837-2024, 2024
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Nitrous oxide (N2O) is a potent greenhouse and ozone-depleting gas produced largely from microbial nitrogen cycling processes, and human activities have resulted in increases in atmospheric N2O. We investigate the role of physical and chemical disturbances to soils and sediments in N2O production. We demonstrate that physicochemical perturbation increases N2O production, microbial community adapts over time, and initial perturbation appears to confer resilience to subsequent disturbance.
Ida Bagus Mandhara Brasika, Pierre Friedlingstein, Stephen Sitch, Michael O'Sullivan, Maria Carolina Duran-Rojas, Thais Michele Rosan, Kees Klein Goldewijk, Julia Pongratz, Clemens Schwingshackl, Louise P. Chini, and George C. Hurtt
EGUsphere, https://doi.org/10.5194/egusphere-2024-3165, https://doi.org/10.5194/egusphere-2024-3165, 2024
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Indonesia is 3 world's highest carbon emitter from land use change. However, there are uncertainties of the carbon emission of Indonesia that can be reduced with satellite-based datasets. But later, we found that the uncertainties are also caused by the difference of carbon pool in various models. Our best estimation of carbon emissions from land use change in Indonesia is 0.12 ± 0.02 PgC/yr with steady trend. This double when include peat fire and peat drainage emissions.
Sigrid Trier Kjær, Sebastian Westermann, Nora Nedkvitne, and Peter Dörsch
Biogeosciences, 21, 4723–4737, https://doi.org/10.5194/bg-21-4723-2024, https://doi.org/10.5194/bg-21-4723-2024, 2024
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Permafrost peatlands are thawing due to climate change, releasing large quantities of carbon that degrades upon thawing and is released as CO2, CH4 or dissolved organic carbon (DOC). We incubated thawed Norwegian permafrost peat plateaus and thermokarst pond sediment found next to permafrost for up to 350 d to measure carbon loss. CO2 production was initially the highest, whereas CH4 production increased over time. The largest carbon loss was measured at the top of the peat plateau core as DOC.
Olivier Bouriaud, Ernst-Detlef Schulze, Konstantin Gregor, Issam Bourkhris, Peter Högberg, Roland Irslinger, Phillip Papastefanou, Julia Pongratz, Anja Rammig, Riccardo Valentini, and Christian Körner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3092, https://doi.org/10.5194/egusphere-2024-3092, 2024
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The impact of harvesting on forests' carbon sink capacities is debated. One view is that their sink strength is resilient to harvesting, the other that it disrupts these capacities. Our work shows that leaf area index (LAI) has been overlooked in this discussion. We found that temperate forests' carbon uptake is largely insensitive to variations in LAI beyond about 4 m² m-², but that forests operate at higher levels.
Silvie Lainela, Erik Jacobs, Stella-Theresa Luik, Gregor Rehder, and Urmas Lips
Biogeosciences, 21, 4495–4519, https://doi.org/10.5194/bg-21-4495-2024, https://doi.org/10.5194/bg-21-4495-2024, 2024
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We evaluate the variability of carbon dioxide and methane in the surface layer of the north-eastern basins of the Baltic Sea in 2018. We show that the shallower coastal areas have considerably higher spatial variability and seasonal amplitude of surface layer pCO2 and cCH4 than measured in the offshore areas of the Baltic Sea. Despite this high variability, caused mostly by coastal physical processes, the average annual air–sea CO2 fluxes differed only marginally between the sub-basins.
Martti Honkanen, Mika Aurela, Juha Hatakka, Lumi Haraguchi, Sami Kielosto, Timo Mäkelä, Jukka Seppälä, Simo-Matti Siiriä, Ken Stenbäck, Juha-Pekka Tuovinen, Pasi Ylöstalo, and Lauri Laakso
Biogeosciences, 21, 4341–4359, https://doi.org/10.5194/bg-21-4341-2024, https://doi.org/10.5194/bg-21-4341-2024, 2024
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The exchange of CO2 between the sea and the atmosphere was studied in the Archipelago Sea, Baltic Sea, in 2017–2021, using an eddy covariance technique. The sea acted as a net source of CO2 with an average yearly emission of 27.1 gC m-2 yr-1, indicating that the marine ecosystem respired carbon that originated elsewhere. The yearly CO2 emission varied between 18.2–39.2 gC m-2 yr-1, mostly due to the yearly variation of ecosystem carbon uptake.
Ralf C. H. Aben, Daniël van de Craats, Jim Boonman, Stijn H. Peeters, Bart Vriend, Coline C. F. Boonman, Ype van der Velde, Gilles Erkens, and Merit van den Berg
Biogeosciences, 21, 4099–4118, https://doi.org/10.5194/bg-21-4099-2024, https://doi.org/10.5194/bg-21-4099-2024, 2024
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Drained peatlands cause high CO2 emissions. We assessed the effectiveness of subsurface water infiltration systems (WISs) in reducing CO2 emissions related to increases in water table depth (WTD) on 12 sites for up to 4 years. Results show WISs markedly reduced emissions by 2.1 t CO2-C ha-1 yr-1. The relationship between the amount of carbon above the WTD and CO2 emission was stronger than the relationship between WTD and emission. Long-term monitoring is crucial for accurate emission estimates.
Ingeborg Bussmann, Eric P. Achterberg, Holger Brix, Nicolas Brüggemann, Götz Flöser, Claudia Schütze, and Philipp Fischer
Biogeosciences, 21, 3819–3838, https://doi.org/10.5194/bg-21-3819-2024, https://doi.org/10.5194/bg-21-3819-2024, 2024
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Methane (CH4) is an important greenhouse gas and contributes to climate warming. However, the input of CH4 from coastal areas to the atmosphere is not well defined. Dissolved and atmospheric CH4 was determined at high spatial resolution in or above the North Sea. The atmospheric CH4 concentration was mainly influenced by wind direction. With our detailed study on the spatial distribution of CH4 fluxes we were able to provide a detailed and more realistic estimation of coastal CH4 fluxes.
Niu Zhu, Jinniu Wang, Dongliang Luo, Xufeng Wang, Cheng Shen, and Ning Wu
Biogeosciences, 21, 3509–3522, https://doi.org/10.5194/bg-21-3509-2024, https://doi.org/10.5194/bg-21-3509-2024, 2024
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Our study delves into the vital role of subalpine forests in the Qinghai–Tibet Plateau as carbon sinks in the context of climate change. Utilizing advanced eddy covariance systems, we uncover their significant carbon sequestration potential, observing distinct seasonal patterns influenced by temperature, humidity, and radiation. Notably, these forests exhibit robust carbon absorption, with potential implications for global carbon balance.
Colette L. Kelly, Nicole M. Travis, Pascale Anabelle Baya, Claudia Frey, Xin Sun, Bess B. Ward, and Karen L. Casciotti
Biogeosciences, 21, 3215–3238, https://doi.org/10.5194/bg-21-3215-2024, https://doi.org/10.5194/bg-21-3215-2024, 2024
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Nitrous oxide, a potent greenhouse gas, accumulates in regions of the ocean that are low in dissolved oxygen. We used a novel combination of chemical tracers to determine how nitrous oxide is produced in one of these regions, the eastern tropical North Pacific Ocean. Our experiments showed that the two most important sources of nitrous oxide under low-oxygen conditions are denitrification, an anaerobic process, and a novel “hybrid” process performed by ammonia-oxidizing archaea.
Hella van Asperen, Thorsten Warneke, Alessandro Carioca de Araújo, Bruce Forsberg, Sávio José Filgueiras Ferreira, Thomas Röckmann, Carina van der Veen, Sipko Bulthuis, Leonardo Ramos de Oliveira, Thiago de Lima Xavier, Jailson da Mata, Marta de Oliveira Sá, Paulo Ricardo Teixeira, Julie Andrews de França e Silva, Susan Trumbore, and Justus Notholt
Biogeosciences, 21, 3183–3199, https://doi.org/10.5194/bg-21-3183-2024, https://doi.org/10.5194/bg-21-3183-2024, 2024
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Carbon monoxide (CO) is regarded as an important indirect greenhouse gas. Soils can emit and take up CO, but, until now, uncertainty remains as to which process dominates in tropical rainforests. We present the first soil CO flux measurements from a tropical rainforest. Based on our observations, we report that tropical rainforest soils are a net source of CO. In addition, we show that valley streams and inundated areas are likely additional hot spots of CO in the ecosystem.
Yélognissè Agbohessou, Claire Delon, Manuela Grippa, Eric Mougin, Daouda Ngom, Espoir Koudjo Gaglo, Ousmane Ndiaye, Paulo Salgado, and Olivier Roupsard
Biogeosciences, 21, 2811–2837, https://doi.org/10.5194/bg-21-2811-2024, https://doi.org/10.5194/bg-21-2811-2024, 2024
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Emissions of greenhouse gases in the Sahel are not well represented because they are considered weak compared to the rest of the world. However, natural areas in the Sahel emit carbon dioxide and nitrous oxides, which need to be assessed because of extended surfaces. We propose an assessment of such emissions in Sahelian silvopastoral systems and of how they are influenced by environmental characteristics. These results are essential to inform climate change strategies in the region.
Merit van den Berg, Thomas M. Gremmen, Renske J. E. Vroom, Jacobus van Huissteden, Jim Boonman, Corine J. A. van Huissteden, Ype van der Velde, Alfons J. P. Smolders, and Bas P. van de Riet
Biogeosciences, 21, 2669–2690, https://doi.org/10.5194/bg-21-2669-2024, https://doi.org/10.5194/bg-21-2669-2024, 2024
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Drained peatlands emit 3 % of the global greenhouse gas emissions. Paludiculture is a way to reduce CO2 emissions while at the same time generating an income for landowners. The side effect is the potentially high methane emissions. We found very high methane emissions for broadleaf cattail compared with narrowleaf cattail and water fern. The rewetting was, however, effective to stop CO2 emissions for all species. The highest potential to reduce greenhouse gas emissions had narrowleaf cattail.
Thomas Bauduin, Nathalie Gypens, and Alberto V. Borges
EGUsphere, https://doi.org/10.5194/egusphere-2024-1315, https://doi.org/10.5194/egusphere-2024-1315, 2024
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Greenhouse gases (GHG) emissions from ponds can vary depending on the state of ponds (clear-water with macrophytes or turbid-water with phytoplankton). We studied CO2, CH4, and N2O emissions in clear and turbid urban ponds (June 2021 to December 2023) in Brussels. We observed seasonal differences in methanogenesis pathways, in CH4 emissions between clear and turbid ponds, and annual differences in total emissions of GHG, likely from intense El Niño event in 2023.
Thea H. Heimdal, Galen A. McKinley, Adrienne J. Sutton, Amanda R. Fay, and Lucas Gloege
Biogeosciences, 21, 2159–2176, https://doi.org/10.5194/bg-21-2159-2024, https://doi.org/10.5194/bg-21-2159-2024, 2024
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Measurements of ocean carbon are limited in time and space. Machine learning algorithms are therefore used to reconstruct ocean carbon where observations do not exist. Improving these reconstructions is important in order to accurately estimate how much carbon the ocean absorbs from the atmosphere. In this study, we find that a small addition of observations from the Southern Ocean, obtained by autonomous sampling platforms, could significantly improve the reconstructions.
Guilherme L. Torres Mendonça, Julia Pongratz, and Christian H. Reick
Biogeosciences, 21, 1923–1960, https://doi.org/10.5194/bg-21-1923-2024, https://doi.org/10.5194/bg-21-1923-2024, 2024
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We study the timescale dependence of airborne fraction and underlying feedbacks by a theory of the climate–carbon system. Using simulations we show the predictive power of this theory and find that (1) this fraction generally decreases for increasing timescales and (2) at all timescales the total feedback is negative and the model spread in a single feedback causes the spread in the airborne fraction. Our study indicates that those are properties of the system, independently of the scenario.
François Clayer, Jan Erik Thrane, Kuria Ndungu, Andrew King, Peter Dörsch, and Thomas Rohrlack
Biogeosciences, 21, 1903–1921, https://doi.org/10.5194/bg-21-1903-2024, https://doi.org/10.5194/bg-21-1903-2024, 2024
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Determination of dissolved greenhouse gas (GHG) in freshwater allows us to estimate GHG fluxes. Mercuric chloride (HgCl2) is used to preserve water samples prior to GHG analysis despite its environmental and health impacts and interferences with water chemistry in freshwater. Here, we tested the effects of HgCl2, two substitutes and storage time on GHG in water from two boreal lakes. Preservation with HgCl2 caused overestimation of CO2 concentration with consequences for GHG flux estimation.
Helena Rautakoski, Mika Korkiakoski, Jarmo Mäkelä, Markku Koskinen, Kari Minkkinen, Mika Aurela, Paavo Ojanen, and Annalea Lohila
Biogeosciences, 21, 1867–1886, https://doi.org/10.5194/bg-21-1867-2024, https://doi.org/10.5194/bg-21-1867-2024, 2024
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Current and future nitrous oxide (N2O) emissions are difficult to estimate due to their high variability in space and time. Several years of N2O fluxes from drained boreal peatland forest indicate high importance of summer precipitation, winter temperature, and snow conditions in controlling annual N2O emissions. The results indicate increasing year-to-year variation in N2O emissions in changing climate with more extreme seasonal weather conditions.
Matthias Koschorreck, Norbert Kamjunke, Uta Koedel, Michael Rode, Claudia Schuetze, and Ingeborg Bussmann
Biogeosciences, 21, 1613–1628, https://doi.org/10.5194/bg-21-1613-2024, https://doi.org/10.5194/bg-21-1613-2024, 2024
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We measured the emission of carbon dioxide (CO2) and methane (CH4) from different sites at the river Elbe in Germany over 3 days to find out what is more important for quantification: small-scale spatial variability or diurnal temporal variability. We found that CO2 emissions were very different between day and night, while CH4 emissions were more different between sites. Dried out river sediments contributed to CO2 emissions, while the side areas of the river were important CH4 sources.
Odysseas Sifounakis, Edwin Haas, Klaus Butterbach-Bahl, and Maria P. Papadopoulou
Biogeosciences, 21, 1563–1581, https://doi.org/10.5194/bg-21-1563-2024, https://doi.org/10.5194/bg-21-1563-2024, 2024
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We performed a full assessment of the carbon and nitrogen cycles of a cropland ecosystem. An uncertainty analysis and quantification of all carbon and nitrogen fluxes were deployed. The inventory simulations include greenhouse gas emissions of N2O, NH3 volatilization and NO3 leaching from arable land cultivation in Greece. The inventory also reports changes in soil organic carbon and nitrogen stocks in arable soils.
Sarah M. Ludwig, Luke Schiferl, Jacqueline Hung, Susan M. Natali, and Roisin Commane
Biogeosciences, 21, 1301–1321, https://doi.org/10.5194/bg-21-1301-2024, https://doi.org/10.5194/bg-21-1301-2024, 2024
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Landscapes are often assumed to be homogeneous when using eddy covariance fluxes, which can lead to biases when calculating carbon budgets. In this study we report eddy covariance carbon fluxes from heterogeneous tundra. We used the footprints of each flux observation to unmix the fluxes coming from components of the landscape. We identified and quantified hot spots of carbon emissions in the landscape. Accurately scaling with landscape heterogeneity yielded half as much regional carbon uptake.
Justine Trémeau, Beñat Olascoaga, Leif Backman, Esko Karvinen, Henriikka Vekuri, and Liisa Kulmala
Biogeosciences, 21, 949–972, https://doi.org/10.5194/bg-21-949-2024, https://doi.org/10.5194/bg-21-949-2024, 2024
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We studied urban lawns and meadows in the Helsinki metropolitan area, Finland. We found that meadows are more resistant to drought events but that they do not increase carbon sequestration compared with lawns. Moreover, the transformation from lawns to meadows did not demonstrate any negative climate effects in terms of greenhouse gas emissions. Even though social and economic aspects also steer urban development, these results can guide planning to consider carbon-smart options.
Guantao Chen, Edzo Veldkamp, Muhammad Damris, Bambang Irawan, Aiyen Tjoa, and Marife D. Corre
Biogeosciences, 21, 513–529, https://doi.org/10.5194/bg-21-513-2024, https://doi.org/10.5194/bg-21-513-2024, 2024
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We established an oil palm management experiment in a large-scale oil palm plantation in Jambi, Indonesia. We recorded oil palm fruit yield and measured soil CO2, N2O, and CH4 fluxes. After 4 years of treatment, compared with conventional fertilization with herbicide weeding, reduced fertilization with mechanical weeding did not reduce yield and soil greenhouse gas emissions, which highlights the legacy effects of over a decade of conventional management prior to the start of the experiment.
Elizabeth Gachibu Wangari, Ricky Mwangada Mwanake, Tobias Houska, David Kraus, Gretchen Maria Gettel, Ralf Kiese, Lutz Breuer, and Klaus Butterbach-Bahl
Biogeosciences, 20, 5029–5067, https://doi.org/10.5194/bg-20-5029-2023, https://doi.org/10.5194/bg-20-5029-2023, 2023
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Agricultural landscapes act as sinks or sources of the greenhouse gases (GHGs) CO2, CH4, or N2O. Various physicochemical and biological processes control the fluxes of these GHGs between ecosystems and the atmosphere. Therefore, fluxes depend on environmental conditions such as soil moisture, soil temperature, or soil parameters, which result in large spatial and temporal variations of GHG fluxes. Here, we describe an example of how this variation may be studied and analyzed.
Laurie C. Menviel, Paul Spence, Andrew E. Kiss, Matthew A. Chamberlain, Hakase Hayashida, Matthew H. England, and Darryn Waugh
Biogeosciences, 20, 4413–4431, https://doi.org/10.5194/bg-20-4413-2023, https://doi.org/10.5194/bg-20-4413-2023, 2023
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As the ocean absorbs 25% of the anthropogenic emissions of carbon, it is important to understand the impact of climate change on the flux of carbon between the ocean and the atmosphere. Here, we use a very high-resolution ocean, sea-ice, carbon cycle model to show that the capability of the Southern Ocean to uptake CO2 has decreased over the last 40 years due to a strengthening and poleward shift of the southern hemispheric westerlies. This trend is expected to continue over the coming century.
Cited articles
Agarwal, D., Cheah, Y.-W., Fay, D., Fay, J., Guo, D., Hey, T., Humphrey, M.,
Jackson, K., Li, J., and Poulain, C.: Data-intensive science: The Terapixel
and MODISAzure projects, Int. J. High Perform. Comput. Appl., 25, 304–316, https://doi.org/10.1177/1094342011414746,
2011.
Al-Haj, A. N. and Fulweiler, R. W.: A synthesis of methane emissions from
shallow vegetated coastal ecosystems, Glob. Change Biol., 26, 2988–3005,
https://doi.org/10.1111/gcb.15046, 2020.
Apesteguia, M., Plante, A. F., and Virto, I.: Methods assessment for organic
and inorganic carbon quantification in calcareous soils of the Mediterranean
region, Geoderma Reg., 12, 39–48, 2018.
Arzoumanian, E., Vogel, F. R., Bastos, A., Gaynullin, B., Laurent, O., Ramonet, M., and Ciais, P.: Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO2 monitoring in urban areas, Atmos. Meas. Tech., 12, 2665–2677, https://doi.org/10.5194/amt-12-2665-2019, 2019.
Atickem, A., Stenseth, N. C., Fashing, P. J., Nguyen, N., Chapman, C. A.,
Bekele, A., Mekonnen, A., Omeja, P. A., and Kalbitzer, U.: Build science in
Africa, Nature, 570, 297–300, https://doi.org/10.1038/d41586-019-01885-1, 2019.
Baldocchi, D.: Measuring fluxes of trace gases and energy between ecosystems
and the atmosphere – the state and future of the eddy covariance method,
Glob. Change Biol., 20, 3600–3609, 2014.
Bastin, J.-F., Clark, E., Elliott, T., Hart, S., van den Hoogen, J.,
Hordijk, I., Ma, H., Majumder, S., Manoli, G., and Maschler, J.:
Understanding climate change from a global analysis of city analogues, PLOS
One, 14, https://doi.org/10.1371/journal.pone.0217592, 2019.
Bastviken, D., Sundgren, I., Natchimuthu, S., Reyier, H., and Gålfalk, M.: Technical Note: Cost-efficient approaches to measure carbon dioxide (CO2) fluxes and concentrations in terrestrial and aquatic environments using mini loggers, Biogeosciences, 12, 3849–3859, https://doi.org/10.5194/bg-12-3849-2015, 2015.
Bastviken, D., Nygren, J., Schenk, J., Parellada Massana, R., and Duc, N. T.: Technical note: Facilitating the use of low-cost methane (CH4) sensors in flux chambers – calibration, data processing, and an open-source make-it-yourself logger, Biogeosciences, 17, 3659–3667, https://doi.org/10.5194/bg-17-3659-2020, 2020.
Bates, I., Chabala, L. M., Murray Lark, R., MacDonald, A., Mapfumo, P.,
Mtambanengwe, F., Nalivata, P. C., Owen, R., Phiri, E., and Pulford, J.:
Letter to the Editor: Response to Global soil science research collaboration
in the 21st century: Time to end helicopter research by Minasny et al.,
Geoderma, 378, 114559, https://doi.org/10.1016/j.geoderma.2020.114559, 2020.
Beillouin, D., Cardinael, R., Berre, D., Boyer, A., Corbeels, M., Fallot,
A., Feder, F., and Demenois, J.: A global overview of studies about land
management, land-use change, and climate change effects on soil organic
carbon, Glob. Change Biol., 28, 1690–1702, https://doi.org/10.1111/gcb.15998, 2021.
Bird, T. J., Bates, A. E., Lefcheck, J. S., Hill, N. A., Thomson, R. J.,
Edgar, G. J., Stuart-Smith, R. D., Wotherspoon, S., Krkosek, M., and
Stuart-Smith, J. F.: Statistical solutions for error and bias in global
citizen science datasets, Biol. Conserv., 173, 144–154, 2014.
Bockarie, M. J.: How a partnership is closing the door on “parachute”
research in Africa, The Conversation, available at:
https://theconversation.com/ (last access: 5 February 2022),
2019.
Bond-Lamberty, B.: Data sharing and scientific impact in eddy covariance
research, J. Geophys. Res.-Biogeo., 123, 1440–1443, 2018.
Bond-Lamberty, B.: dgk_biogeosci_2022, GitHub, https://github.com/PNNL-TES/dgk_biogeosci_2022, last
access: 5 February 2022.
Brändle, J. and Kunert, N.: A new automated stem CO2 efflux
chamber based on industrial ultra-low-cost sensors, Tree Phys., 39, 1975–1983, https://doi.org/10.1093/treephys/tpz104,
2019.
Burba, G.: Illustrative maps of past and present Eddy Covariance measurement
locations: II. high-resolution images, https://doi.org/10.13140/RG.2.2.33191.70561,
2019
Carbone, M. S., Seyednasrollah, B., Rademacher, T. T., Basler, D., Le Moine,
J. M., Beals, S., Beasley, J., Greene, A., Kelroy, J., and Richardson, A.
D.: Flux Puppy–An open-source software application and portable system
design for low-cost manual measurements of CO2 and H2O fluxes,
Agr. Forest Meteorol., 274, 1–6, https://doi.org/10.1016/j.agrformet.2019.04.012, 2019.
Castell, N., Dauge, F. R., Schneider, P., Vogt, M., Lerner, U., Fishbain,
B., Broday, D., and Bartonova, A.: Can commercial low-cost sensor platforms
contribute to air quality monitoring and exposure estimates?, Environ. Int.,
99, 293–302, 2017.
Choi, C. Q.: Seven ways scientists handle technology challenges in
resource-poor settings, Nature, 569, 147–149, 2019.
Collier-Oxandale, A., Casey, J. G., Piedrahita, R., Ortega, J., Halliday, H., Johnston, J., and Hannigan, M. P.: Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments, Atmos. Meas. Tech., 11, 3569–3594, https://doi.org/10.5194/amt-11-3569-2018, 2018.
Cooper, C. B., Dickinson, J., Phillips, T., and Bonney, R.: Citizen science
as a tool for conservation in residential ecosystems, Ecol. Soc., 12, 11, http://www.ecologyandsociety.org/vol12/iss2/art11/ (last access: 5 February 2022)
2007.
Costello, A. and Zumla, A.: Moving to research partnerships in developing
countries, BMJ, 321, 827–829, https://doi.org/10.1136/bmj.321.7264.827,
2000.
Dai, S. Q., Li, H., Xiong, J., Ma, J., Guo, H. Q., Xiao, X., and Zhao, B.:
Assessing the extent and impact of online data sharing in eddy covariance
flux research, J. Geophys. Res.-Biogeo., 123, 129–137, 2018.
De-Arteaga, M., Herlands, W., Neill, D. B., and Dubrawski, A.: Machine
learning for the developing world, ACM Trans Inf. Syst., 9, 1–14, 2018.
DeVries, B., Pratihast, A. K., Verbesselt, J., Kooistra, L., and Herold, M.:
Characterizing forest change using community-based monitoring data and
Landsat time series, PLOS One, 11, e0147121, https://doi.org/10.1371/journal.pone.0147121, 2016.
Dias, N. L., Duarte, H. F., Maggiotto, S. R., and Grodzki, L.: An attenuated
eddy covariance method for latent heat flux measurements, Wat. Resour. Res.,
43, W04415, https://doi.org/10.1029/2006WR005259, 2007.
Djukic, I., Kepfer-Rojas, S., Schmidt, I. K., Larsen, K. S., Beier, C.,
Berg, B., Verheyen, K., Caliman, A., Paquette, A., and
Gutiérrez-Girón, A.: Early stage litter decomposition across biomes,
Sci. Tot. Environ., 628, 1369–1394, 2018.
Eldering, A., Taylor, T. E., O'Dell, C. W., and Pavlick, R.: The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data, Atmos. Meas. Tech., 12, 2341–2370, https://doi.org/10.5194/amt-12-2341-2019, 2019.
Epule, T. E.: A new compendium of soil respiration data for Africa, Challenges,
6, 88–97, 2015.
Evans, K., Guariguata, M. R., and Brancalion, P. H.: Participatory
monitoring to connect local and global priorities for forest restoration,
Biol. Conserv., 32, 525–534, 2018.
Ewing, P. M., TerAvest, D., Tu, X., and Snapp, S. S.: Accessible,
affordable, fine-scale estimates of soil carbon for sustainable management
in sub-Saharan Africa, Soil Sci. Soc. Am. J., 85, 1814–1826,
https://doi.org/10.1002/saj1002.20263, 2021.
Feng, H., Guo, J., Han, M., Wang, W., Peng, C., Jin, J., Song, X., and Yu,
S.: A review of the mechanisms and controlling factors of methane dynamics
in forest ecosystems, Forest Ecol. Managm., 455, 117702,
https://doi.org/10.1016/j.foreco.2019.117702, 2020.
Ganesan, A. L., Schwietzke, S., Poulter, B., Arnold, T., Lan, X., Rigby, M., Vogel, F. R., van der Werf, G. R., Janssens-Maenhout, G., Boesch, H., Pandey, S., Manning, A. J., Jackson, R. B., Nisbet, E. G., and Manning, M. R.: Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement, Global Biogeochem. Cy., 33, 1475–1512, https://doi.org/10.1029/2018GB006065, 2019.
Gatica, G., Fernández, M. E., Juliarena, M. P., and Gyenge, J.:
Environmental and anthropogenic drivers of soil methane fluxes in forests:
Global patterns and among-biomes differences, Glob. Change Biol., 26,
6604–6615, https://doi.org/10.1111/gcb.15331, 2020.
Gentemann, C. L., Holdgraf, C., Abernathey, R., Crichton, D., Colliander,
J., Kearns, E. J., Panda, Y., and Signell, R. P.: Science Storms the Cloud,
AGU Adv., 2, e2020AV000354, https://doi.org/10.1029/2020AV000354, 2021.
Geoghegan, H., Dyke, A., Pateman, R., West, S., and Everett, G.:
Understanding motivations for citizen science. Final report on behalf of
UKEOF, University of Reading, Stockholm Environment Institute (University of
York) and University of the West of England, available at: http://www.ukeof.org.uk/resources/citizen-science-resources/MotivationsforCSREPORTFINALMay2016.pdf (last access: 5 February 2022),
2016
Gessesse, T. A. and Khamzina, A.: How reliable is the Walkley-Black method
for analyzing carbon-poor, semi-arid soils in Ethiopia?, J. Arid Environ.,
153, 98–101, 2018.
Giller, K. E.: Grounding the helicopters, Geoderma, 373, 114302,
https://doi.org/10.1016/j.geoderma.2020.114302, 2020.
Giltrap, D. L., Li, C., and Saggar, S.: DNDC: A process-based model of
greenhouse gas fluxes from agricultural soils, Agr. Ecosyst. Environ., 136,
292–300, 2010.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore,
R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone,
Remote Sens. Environ., 202, 18–27, 2017.
Grossman, R. B. and Reinsch, T. G.: Bulk density and linear extensibility,
in: Methods of soil analysis, Part. 4 physical methods, edited by: Dane,
J. H. and Topp, G. C., Soil Science Society of America, Inc., 201–254, 2002
Habib, A.: How academic journals price out developing countries, available at: http://theconversation.com/how-academic-journals-price-out-developing-countries-2484 (last access: 5 February 2022),
2011
Hampton, S. E., Anderson, S. S., Bagby, S. C., Gries, C., Han, X., Hart, E.
M., Jones, M. B., Lenhardt, W. C., MacDonald, A., and Michener, W. K.: The
Tao of open science for ecology, Ecosphere, 6, 1–13, 2015.
Han, M. and Zhu, B.: Changes in soil greenhouse gas fluxes by land use change from primary forest, Glob. Change Biol., 26, 2656–2667, https://doi.org/10.1111/gcb.14993, 2020.
Harden, J. W., Hugelius, G., Ahlström, A., Blankinship, J. C.,
Bond-Lamberty, B., Lawrence, C. R., Loisel, J., Malhotra, A., Jackson, R.
B., Ogle, S., Phillips, C., Ryals, R., Todd-Brown, K., Vargas, R., Vergara,
S. E., Cotrufo, M. F., Keiluweit, M., Heckman, K. A., Crow, S. E., Silver,
W. L., DeLonge, M., and Nave, L. E.: Networking our science to characterize
the state, vulnerabilities, and management opportunities of soil organic
matter, Glob. Change Biol., 24, e705–e718, https://doi.org/10.1111/gcb.13896, 2018.
Heigl, F., Kieslinger, B., Paul, K. T., Uhlik, J., and Dörler, D.: Opinion: Toward an international definition of citizen science, P. Natl. Acad. Sci., 116, 8089–8092, https://doi.org/10.1073/pnas.1903393116, 2019.
Hill, T., Chocholek, M., and Clement, R.: The case for increasing the
statistical power of eddy covariance ecosystem studies: why, where and how?,
Glob. Change Biol., 23, 2154–2165, 2017.
Hook, D., Adams, J., and Szomszor, M.: The Landscape of climate research
funding, available at: https://research.uarctic.org/media/ (last access: 5 February 2022), 2017
Hourdin, F., Mauritsen, T., Gettelman, A., Golaz, J.-C., Balaji, V., Duan,
Q., Folini, D., Ji, D., Klocke, D., and Qian, Y.: The art and science of
climate model tuning, Bull. Am. Meteorol. Soc., 98, 589–602, 2017.
Hurrell, J. W., Holland, M. M., Gent, P. R., Ghan, S., Kay, J. E., Kushner,
P. J., Lamarque, J.-F., Large, W. G., Lawrence, D., and Lindsay, K.: The
community earth system model: a framework for collaborative research, Bull.
Am. Meteorol. Soc., 94, 1339–1360, 2013.
Hwang, Y., Ryu, Y., Kimm, H., Jiang, C., Lang, M., Macfarlane, C., and
Sonnentag, O.: Correction for light scattering combined with sub-pixel
classification improves estimation of gap fraction from digital cover
photography, Agr. Forest Meteorol., 222, 32–44, 2016.
IPCC: Climate Change 2014: Impacts, Adaptation, and Vulnerability, Part B:
Regional Aspects, Contribution of Working Group II to the Fifth Assessment
Report of the Intergovernmental Panel on Climate Change, edited by: Barros, V. R.,
Field, C. B., Dokken, D. J., Mastrandrea, M. D., Mach, K. J., Bilir, T. E., Chatterjee, M.,
Ebi, K. L., Estrada, Y. O., Genova, R. C., Girma, B., Kissel, E. S., Levy, A. N.,
MacCracken, S., Mastrandrea, P. R., and White, L. L., Cambridge University
Press, Cambridge, United Kingdom and New York, NY, USA, 688 pp., ISBN 978-1-107-05816-3 2014
Irwin, A.: No PhDs needed: how citizen science is transforming research,
Nature, 562, 480–482, 2018.
Iyandemye, J. and Thomas, M. P.: Low income countries have the highest
percentages of open access publication: A systematic computational analysis
of the biomedical literature, PLOS One, 14, e0220229, https://doi.org/10.1371/journal.pone.0220229, 2019.
Jha, P., Biswas, A., Lakaria, B. L., Saha, R., Singh, M., and Rao, A. S.:
Predicting total organic carbon content of soils from Walkley and Black
analysis, Comm. Soil Sci. Plant Anal., 45, 713–725, 2014.
Jian, J., Vargas, R., Anderson-Teixeira, K., Stell, E., Herrmann, V., Horn,
M., Kholod, N., Manzon, J., Marchesi, R., Paredes, D., and Bond-Lamberty,
B.: A restructured and updated global soil respiration database (SRDB-V5),
Earth Syst. Sci. Data, 13, 255–267,
https://doi.org/10.5194/essd-13-255-2021, 2021.
Jose, V. S., Sejian, V., Bagath, M., Ratnakaran, A. P., Lees, A. M.,
Al-Hosni, Y. A., Sullivan, M., Bhatta, R., and Gaughan, J. B.: Modeling of
greenhouse gas emission from livestock, Front. Environ. Sci., 4, 27, https://doi.org/10.3389/fenvs.2016.00027, 2016.
Jung, M., Schwalm, C., Migliavacca, M., Walther, S., Camps-Valls, G., Koirala, S., Anthoni, P., Besnard, S., Bodesheim, P., Carvalhais, N., Chevallier, F., Gans, F., Goll, D. S., Haverd, V., Köhler, P., Ichii, K., Jain, A. K., Liu, J., Lombardozzi, D., Nabel, J. E. M. S., Nelson, J. A., O'Sullivan, M., Pallandt, M., Papale, D., Peters, W., Pongratz, J., Rödenbeck, C., Sitch, S., Tramontana, G., Walker, A., Weber, U., and Reichstein, M.: Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach, Biogeosciences, 17, 1343–1365, https://doi.org/10.5194/bg-17-1343-2020, 2020.
Kallimanis, A., Panitsa, M., and Dimopoulos, P.: Quality of non-expert
citizen science data collected for habitat type conservation status
assessment in Natura 2000 protected areas, Sci. Rep., 7, 8873, https://doi.org/10.1038/s41598-017-09316-9, 2017.
Kay, J. E., Deser, C., Phillips, A., Mai, A., Hannay, C., Strand, G.,
Arblaster, J. M., Bates, S., Danabasoglu, G., and Edwards, J.: The Community
Earth System Model (CESM) large ensemble project: A community resource for
studying climate change in the presence of internal climate variability,
Bull. Am. Meteorol. Soc., 96, 1333–1349, 2015.
Keuskamp, J. A., Dingemans, B. J., Lehtinen, T., Sarneel, J. M., and
Hefting, M. M.: Tea Bag Index: a novel approach to collect uniform
decomposition data across ecosystems, Methods Ecol. Evol., 4, 1070–1075,
2013.
Kim, D.-G. and Kirschbaum, M. U. F.: The effect of land-use change on the
net exchange rates of greenhouse gases: A compilation of estimates, Agr.
Ecosyst. Environ., 208, 114–126, 2015.
Kim, D.-G., Giltrap, D. J., and Hernandez-Ramirez, G.: Background nitrous
oxide emissions in agricultural and natural lands: a meta-analysis, Plant
Soil, 373, 17–30, 2013.
Kim, D.-G., Thomas, A. D., Pelster, D., Rosenstock, T. S., and Sanz-Cobena, A.: Greenhouse gas emissions from natural ecosystems and agricultural lands in sub-Saharan Africa: synthesis of available data and suggestions for further research, Biogeosciences, 13, 4789–4809, https://doi.org/10.5194/bg-13-4789-2016, 2016.
Kim, J., Ryu, Y., Jiang, C., and Hwang, Y.: Continuous observation of
vegetation canopy dynamics using an integrated low-cost, near-surface remote
sensing system, Agr. Forest Meteorol., 264, 164–177, 2019.
King, M., Pegrum, M., and Forsey, M.: MOOCs and OER in the Global South:
problems and potential, Int. Rev. Res. Open Distance Learn., 19, 5,
https://doi.org/10.19173/irrodl.v19i5.3742, 2018.
Lausch, A., Schmidt, A., and Tischendorf, L.: Data mining and linked open
data–New perspectives for data analysis in environmental research, Ecol.
Mod., 295, 5–17, 2015.
Lawrence, N. C. and Hall, S. J.: Capturing temporal heterogeneity in soil nitrous oxide fluxes with a robust and low-cost automated chamber apparatus, Atmos. Meas. Tech., 13, 4065–4078, https://doi.org/10.5194/amt-13-4065-2020, 2020.
Li, S., Xu, J., Tang, S., Zhan, Q., Gao, Q., Ren, L., Shao, Q., Chen, L.,
Du, J., and Hao, B.: A meta-analysis of carbon, nitrogen and phosphorus
change in response to conversion of grassland to agricultural land,
Geoderma, 363, 114149, https://doi.org/10.1016/j.geoderma.2019.114149, 2020.
Liang, A., Gong, W., Han, G., and Xiang, C.: Comparison of
satellite-observed XCO2 from GOSAT, OCO-2, and ground-based TCCON, Remote
Sens., 9, 1033, https://doi.org/10.3390/rs9101033, 2017.
López-Ballesteros, A., Beck, J., Bombelli, A., Grieco, E.,
Lorencová, E. K., Merbold, L., Brümmer, C., Hugo, W., Scholes, R.,
Vačkář, D., Vermeulen, A., Acosta, M., Butterbach-Bahl, K.,
Helmschrot, J., Kim, D.-G., Jones, M., Jorch, V., Pavelka, M., Skjelvan, I.,
and Saunders, M.: Towards a feasible and representative pan-African research
infrastructure network for GHG observations, Environ. Res. Lett., 13,
085003, https://doi.org/10.1088/1748-9326/aad66c, 2018.
Lowndes, J. S. S., Best, B. D., Scarborough, C., Afflerbach, J. C., Frazier,
M. R., O'Hara, C. C., Jiang, N., and Halpern, B. S.: Our path to better
science in less time using open data science tools, Nat. Ecol. Evol., 1,
1–7, 2017.
Luo, T., Hostetler, K., Freeman, C., and Stefaniak, J.: The power of open:
benefits, barriers, and strategies for integration of open educational
resources, Open Learn., 35, 140–158,
https://doi.org/10.1080/02680513.2019.1677222, 2020.
Macfarlane, C., Ryu, Y., Ogden, G. N., and Sonnentag, O.: Digital canopy
photography: exposed and in the raw, Agr. Forest Meteorol., 197, 244–253, 2014.
Mapfumo, P., Adjei-Nsiah, S., Mtambanengwe, F., Chikowo, R., and Giller, K.
E.: Participatory action research (PAR) as an entry point for supporting
climate change adaptation by smallholder farmers in Africa, Environ. Dev.,
5, 6–22, 2013.
Markwitz, C. and Siebicke, L.: Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany, Atmos. Meas. Tech., 12, 4677–4696, https://doi.org/10.5194/amt-12-4677-2019, 2019.
Marley, A. R., Smeaton, C., and Austin, W. E.: An assessment of the tea bag
index method as a proxy for organic matter decomposition in intertidal
environments, J. Geophys. Res.-Biogeo., 124, 2991–3004, 2019.
Martinsen, K. T., Kragh, T., and Sand-Jensen, K.: Technical note: A simple and cost-efficient automated floating chamber for continuous measurements of carbon dioxide gas flux on lakes, Biogeosciences, 15, 5565–5573, https://doi.org/10.5194/bg-15-5565-2018, 2018.
McDaniel, M. D., Saha, D., Dumont, M. G., Hernández, M., and Adams, M. A.: The effect of land-use change on soil CH4 and N2O fluxes: a global meta-analysis, Ecosys., 22, 1424–1443, https://doi.org/10.1007/s10021-019-00347-z, 2019.
Mims, F. M.: Sun photometer with light-emitting diodes as spectrally
selective detectors, Appl. Opt., 31, 6965–6967, 1992.
Minasny, B., Fiantis, D., Mulyanto, B., Sulaeman, Y., and Widyatmanti, W.:
Global soil science research collaboration in the 21st century: Time to end
helicopter research, Geoderma, 373, 114299,
https://doi.org/10.1016/j.geoderma.2020.114299, 2020.
Morawska, L., Thai, P. K., Liu, X., Asumadu-Sakyi, A., Ayoko, G., Bartonova, A., Bedini, A., Chai, F., Christensen, B., Dunbabin, M., Gao, J., Hagler, G. S. W., Jayaratne, R., Kumar, P., Lau, A. K. H., Louie, P. K. K., Mazaheri, M., Ning, Z., Motta, N., Mullins, B., Rahman, M. M., Ristovski, Z., Shafiei, M., Tjondronegoro, D., Westerdahl, D., and Williams, R.: Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?, Environ. Int., 116, 286–299, https://doi.org/10.1016/j.envint.2018.04.018, 2018.
Mtebe, J. S. and Raisamo, R.: Investigating perceived barriers to the use
of open educational resources in higher education in Tanzania, Int. Rev.
Res. Open Distance Learn., 15, 43–66,
https://doi.org/10.19173/irrodl.v15i2.1803, 2014.
Muenchow, J., Schäfer, S., and Krüger, E.: Reviewing qualitative GIS
research – Toward a wider usage of open-source GIS and reproducible research
practices, Geogr. Compass, 13, e12441, https://doi.org/10.1111/gec3.12441, 2019.
Murphy, H. M., McBean, E. A., and Farahbakhsh, K.: Appropriate technology –
A comprehensive approach for water and sanitation in the developing world,
Technol. Soc., 31, 158–167, 2009.
National Academies of Sciences, Engineering, and Medicine: Improving
characterization of anthropogenic methane emissions in the United States,
Washington, DC, The National Academies Press, https://doi.org/10.17226/24987, 2018.
Ng, W., Husnain, Anggria, L., Siregar, A. F., Hartatik, W., Sulaeman, Y.,
Jones, E., and Minasny, B.: Developing a soil spectral library using a
low-cost NIR spectrometer for precision fertilization in Indonesia, Geoderma
Reg., 22, e00319, https://doi.org/10.1016/j.geodrs.2020.e00319, 2020.
Nickless, A., Scholes, R. J., Vermeulen, A., Beck, J.,
López-Ballesteros, A., Ardö, J., Karstens, U., Rigby, M., Kasurinen,
V., Pantazatou, K., Jorch, V., and Kutsch, W.: Greenhouse gas observation
network design for Africa, Tellus B, 72,
1–30, https://doi.org/10.1080/16000889.2020.1824486, 2020.
Ochieng, R. M., Visseren-Hamakers, I. J., Arts, B., Brockhaus, M., and
Herold, M.: Institutional effectiveness of REDD+ MRV: Countries progress
in implementing technical guidelines and good governance requirements,
Environ. Sci. Policy, 61, 42–52, 2016.
Oertel, C., Matschullat, J., Zurba, K., Zimmermann, F., and Erasmi, S.:
Greenhouse gas emissions from soils – A review, Geochemistry, 76, 327–352,
2016.
Ogle, S. M., Olander, L., Wollenberg, L., Rosenstock, T., Tubiello, F.,
Paustian, K., Buendia, L., Nihart, A., and Smith, P.: Reducing greenhouse
gas emissions and adapting agricultural management for climate change in
developing countries: providing the basis for action, Glob. Change Biol.,
20, 1–6, https://doi.org/10.1111/gcb.12361, 2014.
Pal, J. S., Giorgi, F., Bi, X., Elguindi, N., Solmon, F., Gao, X., Rauscher,
S. A., Francisco, R., Zakey, A., and Winter, J.: Regional climate modeling
for the developing world: the ICTP RegCM3 and RegCNET, Bull. Am. Meteorol.
Soc., 88, 1395–1410, 2007.
Papale, D.: Ideas and perspectives: enhancing the impact of the FLUXNET
network of eddy covariance sites, Biogeosciences, 17, 5587–5598, https://doi.org/10.5194/bg-17-5587-2020, 2020.
Pearce, J.: Teaching science by encouraging innovation in appropriate
technologies for sustainable development, available at: https://hal.archives-ouvertes.fr/hal-02120521/document (last access: 5 February 2022), 2019
Peltier, R. E.: An Update on Low-cost Sensors for the Measurement of
Atmospheric Composition, available at:
https://library.wmo.int/index.php?lvl=notice_display&id=21508 (last access: 5 February 2022), 2021.
Pettorelli, N., Nagendra, H., Rocchini, D., Rowcliffe, M., Williams, R.,
Ahumada, J., De Angelo, C., Atzberger, C., Boyd, D., and Buchanan, G.:
Remote sensing in ecology and conservation: three years on, Remote. Sens.
Ecol., 3, 53–56, 2017.
Pinfield, S., Salter, J., Bath, P. A., Hubbard, B., Millington, P., Anders,
J. H. S., and Hussain, A.: Open-access repositories worldwide, 2005–2012:
Past growth, current characteristics, and future possibilities, J. Assoc.
Inf. Sci. Technol., 65, 2404–2421, https://doi.org/10.1002/asi.23131, 2014.
Pocock, M. J. O., Roy, H. E., August, T., Kuria, A., Barasa, F., Bett, J.,
Githiru, M., Kairo, J., Kimani, J., Kinuthia, W., Kissui, B., Madindou, I.,
Mbogo, K., Mirembe, J., Mugo, P., Muniale, F. M., Njoroge, P., Njuguna, E.
G., Olendo, M. I., Opige, M., Otieno, T. O., Ng'weno, C. C., Pallangyo, E.,
Thenya, T., Wanjiru, A., and Trevelyan, R.: Developing the global potential
of citizen science: Assessing opportunities that benefit people, society and
the environment in East Africa, J. Appl. Ecol., 56, 274–281, 2019.
Rai, A. C., Kumar, P., Pilla, F., Skouloudis, A. N., Di Sabatino, S., Ratti,
C., Yasar, A., and Rickerby, D.: End-user perspective of low-cost sensors
for outdoor air pollution monitoring, Sci. Total Environ., 607, 691–705,
2017.
Ramirez-Reyes, C., Brauman, K. A., Chaplin-Kramer, R., Galford, G. L.,
Adamo, S. B., Anderson, C. B., Anderson, C., Allington, G. R. H., Bagstad,
K. J., Coe, M. T., Cord, A. F., Dee, L. E., Gould, R. K., Jain, M., Kowal,
V. A., Muller-Karger, F. E., Norriss, J., Potapov, P., Qiu, J., Rieb, J. T.,
Robinson, B. E., Samberg, L. H., Singh, N., Szeto, S. H., Voigt, B., Watson,
K., and Wright, T. M.: Reimagining the potential of Earth observations for
ecosystem service assessments, Sci. Total Environ., 665, 1053–1063, 2019.
Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J.,
Carvalhais, N., and Prabhat: Deep learning and process understanding for
data-driven Earth system science, Nature, 566, 195–204, 2019.
Requena Suarez, D., Rozendaal, D. M. A., De Sy, V., Phillips, O. L.,
Alvarez-Dávila, E., Anderson-Teixeira, K., Araujo-Murakami, A., Arroyo,
L., Baker, T. R., Bongers, F., Brienen, R. J. W., Carter, S., Cook-Patton,
S. C., Feldpausch, T. R., Griscom, B. W., Harris, N., Hérault, B.,
Honorio Coronado, E. N., Leavitt, S. M., Lewis, S. L., Marimon, B. S.,
Monteagudo Mendoza, A., Kassi N'dja, J., N'Guessan, A. E., Poorter, L., Qie,
L., Rutishauser, E., Sist, P., Sonké, B., Sullivan, M. J. P., Vilanova,
E., Wang, M. M. H., Martius, C., and Herold, M.: Estimating aboveground net
biomass change for tropical and subtropical forests: Refinement of IPCC
default rates using forest plot data, Glob. Change Biol., 25, 3609–3624,
2019.
Richardson, A. D., Hufkens, K., Milliman, T., Aubrecht, D. M., Chen, M.,
Gray, J. M., Johnston, M. R., Keenan, T. F., Klosterman, S. T., and Kosmala,
M.: Tracking vegetation phenology across diverse North American biomes using
PhenoCam imagery, Sci. Data, 5, 180028, https://doi.org/10.1038/sdata.2018.28, 2018.
Riddick, S. N., Mauzerall, D. L., Celia, M., Allen, G., Pitt, J., Kang, M.,
and Riddick, J. C.: The calibration and deployment of a low-cost methane
sensor, Atmo. Environ., 230, 117440, https://doi.org/10.1016/j.atmosenv.2020.117440, 2020.
Ritchie, H.: How many internet users does each country have?,
avai;able at: https://ourworldindata.org/how-many-internet-users-does-each-country-have (last access: 5 February 2022),
2019.
Rocchini, D., Petras, V., Petrasova, A., Horning, N., Furtkevicova, L.,
Neteler, M., Leutner, B., and Wegmann, M.: Open data and open source for
remote sensing training in ecology, Ecol. Inform., 40, 57–61, 2017.
Romijn, E., Lantican, C. B., Herold, M., Lindquist, E., Ochieng, R., Wijaya,
A., Murdiyarso, D., and Verchot, L.: Assessing change in national forest
monitoring capacities of 99 tropical countries, Forest Ecol. Managm., 352,
109–123, https://doi.org/10.1016/j.foreco.2015.06.003, 2015.
Rose-Wiles, L. M.: The high cost of science journals: a case study and
discussion, J. Electron. Resour. Librariansh., 23, 219–241, 2011.
Roy, D. P., Jin, Y., Lewis, P. E., and Justice, C. O.: Prototyping a global
algorithm for systematic fire-affected area mapping using MODIS time series
data, Remote Sens. Environ., 97, 137–162, 2005.
Ryu, Y., Baldocchi, D. D., Verfaillie, J., Ma, S., Falk, M., Ruiz-Mercado,
I., Hehn, T., and Sonnentag, O.: Testing the performance of a novel spectral
reflectance sensor, built with light emitting diodes (LEDs), to monitor
ecosystem metabolism, structure and function, Agr. Forest Meteorol., 150,
1597–1606, 2010.
Ryu, Y., Berry, J. A., and Baldocchi, D. D.: What is global photosynthesis?
History, uncertainties and opportunities, Remote Sens. Environ., 223,
95–114, 2019.
Ryu, Y., Lee, G., Jeon, S., Song, Y., and Kimm, H.: Monitoring multi-layer
canopy spring phenology of temperate deciduous and evergreen forests using
low-cost spectral sensors, Remote Sens. Environ., 149, 227–238, 2014.
Ryu, Y., Verfaillie, J., Macfarlane, C., Kobayashi, H., Sonnentag, O.,
Vargas, R., Ma, S., and Baldocchi, D. D.: Continuous observation of tree
leaf area index at ecosystem scale using upward-pointing digital cameras,
Remote Sens. Environ., 126, 116–125, 2012.
Schimel, D., Stephens, B. B., and Fisher, J. B.: Effect of increasing
CO2 on the terrestrial carbon cycle, P. Natl. Acad. Sci. USA, 112, 436–441, 2015.
Shames, S., Heiner, K., Kapukha, M., Kiguli, L., Masiga, M., Kalunda, P. N.,
Ssempala, A., Recha, J., and Wekesa, A.: Building local institutional
capacity to implement agricultural carbon projects: participatory action
research with Vi Agroforestry in Kenya and ECOTRUST in Uganda, Agr. Food
Secur., 5, 13, https://doi.org/10.1186/s40066-016-0060-x, 2016.
Shi, S., Peng, C., Wang, M., Zhu, Q., Yang, G., Yang, Y., Xi, T., and Zhang,
T.: A global meta-analysis of changes in soil carbon, nitrogen, phosphorus
and sulfur, and stoichiometric shifts after forestation, Plant Soil, 407,
323–340, 2016.
Shusterman, A. A., Kim, J., Lieschke, K. J., Newman, C., Wooldridge, P. J., and Cohen, R. C.: Observing local CO2 sources using low-cost, near-surface urban monitors, Atmos. Chem. Phys., 18, 13773–13785, https://doi.org/10.5194/acp-18-13773-2018, 2018.
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, 2020.
Stell, E., Warner, D., Jian, J., Bond-Lamberty, B., and Vargas, R.: Spatial biases of information influence global estimates of soil respiration: How can we improve global predictions?, Glob. Change Biol., 27, 3923–3938, https://doi.org/10.1111/gcb.15666, 2021.
Tan, L., Ge, Z., Zhou, X., Li, S., Li, X., and Tang, J.: Conversion of
coastal wetlands, riparian wetlands, and peatlands increases greenhouse gas
emissions: A global meta-analysis, Glob. Change Biol., 26, 1638–1653,
https://doi.org/10.1111/gcb.14933, 2020.
Tang, Y., Jones, E., and Minasny, B.: Evaluating low-cost portable near
infrared sensors for rapid analysis of soils from South Eastern Australia,
Geoderma Reg., 20, e00240, https://doi.org/10.1016/j.geodrs.2019.e00240,
2020.
Theilade, I., Rutishauser, E., and Poulsen, M. K.: Community assessment of
tropical tree biomass: challenges and opportunities for REDD+, Carbon
Balance Manag., 10, 17, https://doi.org/10.1186/s13021-015-0028-3, 2015.
Tiago, P., Ceia-Hasse, A., Marques, T. A., Capinha, C., and Pereira, H. M.:
Spatial distribution of citizen science casuistic observations for different
taxonomic groups, Sci. Rep., 7, 12832, https://doi.org/10.1038/s41598-017-13130-8, 2017.
Vargas, R., Alcaraz-Segura, D., Birdsey, R., Brunsell, N. A.,
Cruz-Gaistardo, C. O., de Jong, B., Etchevers, J., Guevara, M., Hayes, D.
J., and Johnson, K.: Enhancing interoperability to facilitate implementation
of REDD+: Case study of Mexico, Carbon Manag., 8, 57–65, 2017.
Venter, M., Venter, O., Edwards, W., and Bird, M. I.: Validating community-led forest biomass assessments, PLOS One, 10, e0130529, https://doi.org/10.1371/journal.pone.0130529, 2015.
Villarreal, S. and Vargas, R.: Representativeness of FLUXNET Sites Across
Latin America, J. Geophys. Res.-Biogeo., 126, e2020JG006090,
https://doi.org/10.1029/2020JG006090, 2021.
Vogel, C., Steynor, A., and Manyuchi, A.: Climate services in Africa:
Re-imagining an inclusive, robust and sustainable service, Clim. Serv.,
15, 100107, https://doi.org/10.1016/j.cliser.2019.100107, 2019.
Walkley, A. and Black, I. A.: An examination of the Degtjareff method for
determining soil organic matter, and a proposed modification of the chromic
acid titration method, Soil Sci., 37, 29–38, 1934.
Wang, J.-P., Wang, X.-J., and Zhang, J.: Evaluating loss-on-ignition method
for determinations of soil organic and inorganic carbon in arid soils of
northwestern China, Pedosphere, 23, 593–599, 2013.
Willcock, S., Phillips, O. L., Platts, P. J., Swetnam, R. D., Balmford, A.,
Burgess, N. D., Ahrends, A., Bayliss, J., Doggart, N., Doody, K., Fanning,
E., Green, J. M. H., Hall, J., Howell, K. L., Lovett, J. C., Marchant, R.,
Marshall, A. R., Mbilinyi, B., Munishi, P. K. T., Owen, A. R.,
Topp-Jorgensen, E. J., and Lewis, S. L.: Land cover change and carbon
emissions over 100 years in an African biodiversity hotspot, Glob. Change
Biol., 22, 2787–2800, 2016.
Xu, M. and Shang, H.: Contribution of soil respiration to the global carbon
equation, J. Pl. Physiol., 203, 16–28, 2016.
Yan, L., and Roy, D. P.: Large-area gap filling of landsat reflectance time
series by spectral-angle-mapper based spatio-temporal similarity (SAMSTS),
Remote Sens., 10, 609, 2018.
Yang, S., Lei, L., Zeng, Z., He, Z., and Zhong, H.: An assessment of
anthropogenic CO2 emissions by satellite-based observations in China,
Sens., 19, 1118, https://doi.org/10.3390/s19051118, 2019.
Yoo, E.-H., Zammit-Mangion, A., and Chipeta, M. G.: Adaptive spatial
sampling design for environmental field prediction using low-cost sensing
technologies, Atmos. Environ., 221, 117091, https://doi.org/10.1016/j.atmosenv.2019.117091, 2020.
Zhao, M., Brofeldt, S., Li, Q., Xu, J., Danielsen, F., Læssøe, S. B.
L., Poulsen, M. K., Gottlieb, A., Maxwell, J. F., and Theilade, I.: Can
community members identify tropical tree species for REDD+ carbon and
biodiversity measurements?, PLOS One, 11, e0152061, https://doi.org/10.1371/journal.pone.0152061, 2016.
Zhu, Z., Wulder, M. A., Roy, D. P., Woodcock, C. E., Hansen, M. C.,
Radeloff, V. C., Healey, S. P., Schaaf, C., Hostert, P., and Strobl, P.:
Benefits of the free and open Landsat data policy, Remote Sens. Environ.,
224, 382–385, 2019.
Short summary
As carbon (C) and greenhouse gas (GHG) research has adopted appropriate technology and approach (AT&A), low-cost instruments, open-source software, and participatory research and their results were well accepted by scientific communities. In terms of cost, feasibility, and performance, the integration of low-cost and low-technology, participatory and networking-based research approaches can be AT&A for enhancing C and GHG research in developing countries.
As carbon (C) and greenhouse gas (GHG) research has adopted appropriate technology and approach...
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