- Article
(2860 KB) - Full-text XML
- Articles & preprints
- Submission
- Policies
- Peer review
- Editorial board
- About
- EGU publications
- Manuscript tracking
Journal cover
Journal topic
Biogeosciences
An interactive open-access journal of the European Geosciences Union
Journal topic
- Articles & preprints
- Submission
- Policies
- Peer review
- Editorial board
- About
- EGU publications
- Manuscript tracking
Journal metrics
IF3.480
IF 5-year
4.194
4.194
CiteScore
6.7
6.7
SNIP1.143
IPP3.65
SJR1.761
Scimago H
index118
index118
h5-index60
Abstracted/indexed
Abstracted/indexed- Science Citation Index Expanded
- Current Contents/ABE
- Current Contents/PCE
- Scopus
- ADS
- AGRICOLA
- Aquatic Sciences and Fisheries Abstracts
- CAB Abstracts
- Cabell's
- Chemical Abstracts
- CLOCKSS
- CNKI
- DOAJ
- EBSCO
- GBA
- Gale/Cengage
- GeoBase
- GeoRef
- GoOA (CAS)
- Google Scholar
- J-Gate
- Portico
- ProQuest
- World Public Library
Short summary
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange but is difficult to observe globally. We analyzed the imprint that this flux leaves on atmospheric CO2 using a set of simulations from HR models with common inputs. Models that represent microbial processes are more variable and have stronger temperature sensitivity than those that do not. Our results show that we can use atmospheric CO2 observations to evaluate and improve models of HR.
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange...
Altmetrics
Final-revised paper
Preprint
BG | Articles | Volume 17, issue 5
Biogeosciences, 17, 1293–1308, 2020
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Biogeosciences, 17, 1293–1308, 2020
https://doi.org/10.5194/bg-17-1293-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 13 Mar 2020
Research article | 13 Mar 2020
Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking
Samantha J. Basile et al.
Related authors
No articles found.
Leah Birch, Christopher R. Schwalm, Sue Natali, Danica Lombardozzi, Gretchen Keppel-Aleks, Jennifer Watts, Xin Lin, Donatella Zona, Walter Oechel, Torsten Sachs, Thomas Andrew Black, and Brendan M. Rogers
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-365, https://doi.org/10.5194/gmd-2020-365, 2020
Preprint under review for GMD
Short summary
Short summary
The high latitude landscape or Arctic-Boreal Zone has been warming rapidly, impacting the carbon balance, both regionally and globally. Given the possible global effects of climate change, it is important to have accurate climate model simulations. We assess the simulation of the Arctic-Boreal carbon cycle in the Community Land Model (CLM 5.0). We find biases in both the timing and magnitude photosynthesis. We then use observational data to improve the simulation of the carbon cycle.
Yuanhong Zhao, Marielle Saunois, Philippe Bousquet, Xin Lin, Antoine Berchet, Michaela I. Hegglin, Josep G. Canadell, Robert B. Jackson, Makoto Deushi, Patrick Jöckel, Douglas Kinnison, Ole Kirner, Sarah Strode, Simone Tilmes, Edward J. Dlugokencky, and Bo Zheng
Atmos. Chem. Phys., 20, 13011–13022, https://doi.org/10.5194/acp-20-13011-2020, https://doi.org/10.5194/acp-20-13011-2020, 2020
Short summary
Short summary
Decadal trends and variations in OH are critical for understanding atmospheric CH4 evolution. We quantify the impacts of OH trends and variations on the CH4 budget by conducting CH4 inversions on a decadal scale with an ensemble of OH fields. We find the negative OH anomalies due to enhanced fires can reduce the optimized CH4 emissions by up to 10 Tg yr−1 during El Niño years and the positive OH trend from 1986 to 2010 results in a ∼ 23 Tg yr−1 additional increase in optimized CH4 emissions.
Julius Vira, Peter Hess, Jeff Melkonian, and William R. Wieder
Geosci. Model Dev., 13, 4459–4490, https://doi.org/10.5194/gmd-13-4459-2020, https://doi.org/10.5194/gmd-13-4459-2020, 2020
Short summary
Short summary
Mostly emitted by the agricultural sector, ammonia has an important role in atmospheric chemistry. We developed a model to simulate how ammonia emissions respond to changes in temperature and soil moisture, and we evaluated agricultural ammonia emissions globally. The simulated emissions agree with earlier estimates over many regions, but the results highlight the variability of ammonia emissions and suggest that emissions in warm climates may be higher than previously thought.
Emily Kyker-Snowman, William R. Wieder, Serita D. Frey, and A. Stuart Grandy
Geosci. Model Dev., 13, 4413–4434, https://doi.org/10.5194/gmd-13-4413-2020, https://doi.org/10.5194/gmd-13-4413-2020, 2020
Short summary
Short summary
Microbes drive carbon (C) and nitrogen (N) transformations in soil, and soil models have started to include explicit microbial physiology and functioning to try to reduce uncertainty in soil–climate feedbacks. Here, we add N cycling to a microbially explicit soil C model and reproduce C and N dynamics in soil during litter decomposition across a range of sites. We discuss model-generated hypotheses about soil C and N cycling and highlight the need for landscape-scale model evaluation data.
Yuanhong Zhao, Marielle Saunois, Philippe Bousquet, Xin Lin, Antoine Berchet, Michaela I. Hegglin, Josep G. Canadell, Robert B. Jackson, Edward J. Dlugokencky, Ray L. Langenfelds, Michel Ramonet, Doug Worthy, and Bo Zheng
Atmos. Chem. Phys., 20, 9525–9546, https://doi.org/10.5194/acp-20-9525-2020, https://doi.org/10.5194/acp-20-9525-2020, 2020
Short summary
Short summary
The hydroxyl radical (OH), which is the dominant sink of methane (CH4), plays a key role in closing the global methane budget. This study quantifies how uncertainties in the hydroxyl radical can influence top-down estimates of CH4 emissions based on 4D Bayesian inversions with different OH fields and the same surface observations. We show that uncertainties in CH4 emissions driven by different OH fields are comparable to the uncertainties given by current bottom-up and top-down estimations.
William R. Wieder, Derek Pierson, Stevan Earl, Kate Lajtha, Sara Baer, Ford Ballantyne, Asmeret Asefaw Berhe, Sharon Billings, Laurel M. Brigham, Stephany S. Chacon, Jennifer Fraterrigo, Serita D. Frey, Katerina Georgiou, Marie-Anne de Graaff, A. Stuart Grandy, Melannie D. Hartman, Sarah E. Hobbie, Chris Johnson, Jason Kaye, Emily Kyker-Snowman, Marcy E. Litvak, Michelle C. Mack, Avni Malhotra, Jessica A. M. Moore, Knute Nadelhoffer, Craig Rasmussen, Whendee L. Silver, Benjamin N. Sulman, Xanthe Walker, and Samantha Weintraub
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-195, https://doi.org/10.5194/essd-2020-195, 2020
Revised manuscript under review for ESSD
Short summary
Short summary
Data collected from research networks present opportunities to test theories and develop models about factors responsible for the long-term persistence and vulnerability of soil organic matter (SOM). Here we present the SOils DAta Harmonization database (SoDaH), a flexible database designed to harmonize diverse SOM datasets from multiple research networks.
Yuanhong Zhao, Marielle Saunois, Philippe Bousquet, Xin Lin, Antoine Berchet, Michaela I. Hegglin, Josep G. Canadell, Robert B. Jackson, Didier A. Hauglustaine, Sophie Szopa, Ann R. Stavert, Nathan Luke Abraham, Alex T. Archibald, Slimane Bekki, Makoto Deushi, Patrick Jöckel, Béatrice Josse, Douglas Kinnison, Ole Kirner, Virginie Marécal, Fiona M. O'Connor, David A. Plummer, Laura E. Revell, Eugene Rozanov, Andrea Stenke, Sarah Strode, Simone Tilmes, Edward J. Dlugokencky, and Bo Zheng
Atmos. Chem. Phys., 19, 13701–13723, https://doi.org/10.5194/acp-19-13701-2019, https://doi.org/10.5194/acp-19-13701-2019, 2019
Short summary
Short summary
The role of hydroxyl radical changes in methane trends is debated, hindering our understanding of the methane cycle. This study quantifies how uncertainties in the hydroxyl radical may influence methane abundance in the atmosphere based on the inter-model comparison of hydroxyl radical fields and model simulations of CH4 abundance with different hydroxyl radical scenarios during 2000–2016. We show that hydroxyl radical changes could contribute up to 54 % of model-simulated methane biases.
Susan J. Cheng, Peter G. Hess, William R. Wieder, R. Quinn Thomas, Knute J. Nadelhoffer, Julius Vira, Danica L. Lombardozzi, Per Gundersen, Ivan J. Fernandez, Patrick Schleppi, Marie-Cécile Gruselle, Filip Moldan, and Christine L. Goodale
Biogeosciences, 16, 2771–2793, https://doi.org/10.5194/bg-16-2771-2019, https://doi.org/10.5194/bg-16-2771-2019, 2019
Short summary
Short summary
Nitrogen deposition and fertilizer can change how much carbon is stored in plants and soils. Understanding how much added nitrogen is recovered in plants or soils is critical to estimating the size of the future land carbon sink. We compared how nitrogen additions are recovered in modeled soil and plant stocks against data from long-term nitrogen addition experiments. We found that the model simulates recovery of added nitrogen into soils through a different process than found in the field.
Xin Lin, Philippe Ciais, Philippe Bousquet, Michel Ramonet, Yi Yin, Yves Balkanski, Anne Cozic, Marc Delmotte, Nikolaos Evangeliou, Nuggehalli K. Indira, Robin Locatelli, Shushi Peng, Shilong Piao, Marielle Saunois, Panangady S. Swathi, Rong Wang, Camille Yver-Kwok, Yogesh K. Tiwari, and Lingxi Zhou
Atmos. Chem. Phys., 18, 9475–9497, https://doi.org/10.5194/acp-18-9475-2018, https://doi.org/10.5194/acp-18-9475-2018, 2018
Short summary
Short summary
We simulate CH4 and CO2 using a zoomed global transport model with a horizontal resolution of ~50 km over South and East Asia, as well as a standard model version for comparison. Model performance is evaluated for both gases and versions at multiple timescales against a new collection of surface stations over this key GHG-emitting region. The evaluation at different timescales and comparisons between gases and model versions have implications for possible model improvements and inversions.
Jessica Liptak, Gretchen Keppel-Aleks, and Keith Lindsay
Biogeosciences, 14, 1383–1401, https://doi.org/10.5194/bg-14-1383-2017, https://doi.org/10.5194/bg-14-1383-2017, 2017
Short summary
Short summary
We analyzed the evolution of the atmospheric CO2 mean annual cycle simulated during 1950–2300 under three scenarios designed to separate the effects of climate change, CO2 fertilization, and land use change. CO2 fertilization in boreal and temperate ecosystems drove mean annual cycle amplification over the NH midlatitudes during 1950–2300. Boreal and Arctic climate change drove high-latitude amplification before 2200, after which CO2 fertilization contributed nearly equally to amplification.
Shushi Peng, Shilong Piao, Philippe Bousquet, Philippe Ciais, Bengang Li, Xin Lin, Shu Tao, Zhiping Wang, Yuan Zhang, and Feng Zhou
Atmos. Chem. Phys., 16, 14545–14562, https://doi.org/10.5194/acp-16-14545-2016, https://doi.org/10.5194/acp-16-14545-2016, 2016
Short summary
Short summary
Methane is an important greenhouse gas, which accounts for about 20 % of the warming induced by long-lived greenhouse gases since 1750. Anthropogenic methane emissions from China may have been growing rapidly in the past decades because of increased coal mining and fast growing livestock. A good long-term methane emissions dataset is still lacking. Here, we produced a detailed bottom-up inventory of anthropogenic methane emissions from the eight major source sectors in China during 1980–2010.
X. Lin, N. K. Indira, M. Ramonet, M. Delmotte, P. Ciais, B. C. Bhatt, M. V. Reddy, D. Angchuk, S. Balakrishnan, S. Jorphail, T. Dorjai, T. T. Mahey, S. Patnaik, M. Begum, C. Brenninkmeijer, S. Durairaj, R. Kirubagaran, M. Schmidt, P. S. Swathi, N. V. Vinithkumar, C. Yver Kwok, and V. K. Gaur
Atmos. Chem. Phys., 15, 9819–9849, https://doi.org/10.5194/acp-15-9819-2015, https://doi.org/10.5194/acp-15-9819-2015, 2015
Short summary
Short summary
We present 5-year flask measurements (2007–2011) of greenhouse gases (GHGs) at three atmospheric stations in India. The results suggest significant sources of CO2, CH4, N2O, CO, and H2 over S and NE India, while SF6 sources are weak. The seasonal cycles for each species reflect the seasonality of sources/sinks and influences of the Indian monsoon circulations. The data show potential to infer regional patterns of GHG fluxes and atmospheric transport over this under-documented region.
W. R. Wieder, A. S. Grandy, C. M. Kallenbach, P. G. Taylor, and G. B. Bonan
Geosci. Model Dev., 8, 1789–1808, https://doi.org/10.5194/gmd-8-1789-2015, https://doi.org/10.5194/gmd-8-1789-2015, 2015
Short summary
Short summary
Projecting biogeochemical responses to environmental change requires multi-scaled perspectives. However, microbes, the drivers of soil organic matter decomposition and stabilization, remain notably absent from models used to project carbon cycle–climate feedbacks. Here, we apply and evaluate representations of microbial functional diversity across scales and find that such representations may be critical to accurately project soil carbon dynamics in a changing world.
W. R. Wieder, A. S. Grandy, C. M. Kallenbach, and G. B. Bonan
Biogeosciences, 11, 3899–3917, https://doi.org/10.5194/bg-11-3899-2014, https://doi.org/10.5194/bg-11-3899-2014, 2014
Y. P. Wang, B. C. Chen, W. R. Wieder, M. Leite, B. E. Medlyn, M. Rasmussen, M. J. Smith, F. B. Agusto, F. Hoffman, and Y. Q. Luo
Biogeosciences, 11, 1817–1831, https://doi.org/10.5194/bg-11-1817-2014, https://doi.org/10.5194/bg-11-1817-2014, 2014
Related subject area
Biogeochemistry: Air - Land Exchange
A climate-dependent global model of ammonia emissions from chicken farming
Calculating canopy stomatal conductance from eddy covariance measurements, in light of the energy budget closure problem
Decoupling of a Douglas fir canopy: a look into the subcanopy with continuous vertical temperature profiles
Variations in diurnal and seasonal net ecosystem carbon dioxide exchange in a semiarid sandy grassland ecosystem in China's Horqin Sandy Land
Biogenic volatile organic compound ambient mixing ratios and emission rates in the Alaskan Arctic tundra
Surfaces of silver birch (Betula pendula) are sources of biological ice nuclei: in vivo and in situ investigations
Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites
Evapotranspiration over agroforestry sites in Germany
OH reactivity from the emissions of different tree species: investigating the missing reactivity in a boreal forest
Technical Note: Inexpensive modification of Exetainers for the reliable storage of trace-level hydrogen and carbon monoxide gas samples
Winter atmospheric nutrients and pollutants deposition on West Sayan mountain lakes (Siberia)
Vegetation influence and environmental controls on greenhouse gas fluxes from a drained thermokarst lake in the western Canadian Arctic
Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions
Environmental controls on ecosystem-scale cold-season methane and carbon dioxide fluxes in an Arctic tundra ecosystem
Distinguishing between early- and late-covering crops in the land surface model Noah-MP: impact on simulated surface energy fluxes and temperature
A robust data cleaning procedure for eddy covariance flux measurements
Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach
Methane efflux from an American bison herd
A double peak in the seasonality of California's photosynthesis as observed from space
Nitrogen use efficiency and N2O and NH3 losses attributed to three fertiliser types applied to an intensively managed silage crop
Biogenic isoprenoid emissions under drought stress: different responses for isoprene and terpenes
Insights from mercury stable isotopes on terrestrial–atmosphere exchange of Hg(0) in the Arctic tundra
Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities
El Niño–Southern Oscillation (ENSO) event reduces CO2 uptake of an Indonesian oil palm plantation
Carbon–water flux coupling under progressive drought
Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality
Identification of secondary fatty alcohols in atmospheric aerosols in temperate forests
Modelling land–atmosphere daily exchanges of NO, NH3, and CO2 in a semi-arid grazed ecosystem in Senegal
Simulating the atmospheric CO2 concentration across the heterogeneous landscape of Denmark using a coupled atmosphere–biosphere mesoscale model system
Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany
Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness
Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate
Assessing biotic contributions to CO2 fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009
Assessing the dynamics of vegetation productivity in circumpolar regions with different satellite indicators of greenness and photosynthesis
Reviews and syntheses: Carbon use efficiency from organisms to ecosystems – definitions, theories, and empirical evidence
Eddy covariance flux errors due to random and systematic timing errors during data acquisition
Synthetic ozone deposition and stomatal uptake at flux tower sites
Integrated management of a Swiss cropland is not sufficient to preserve its soil carbon pool in the long term
Basic and extensible post-processing of eddy covariance flux data with REddyProc
Carbon exchange in an Amazon forest: from hours to years
Seasonal variations of Quercus pubescens isoprene emissions from an in natura forest under drought stress and sensitivity to future climate change in the Mediterranean area
An assessment of natural methane fluxes simulated by the CLASS-CTEM model
Ammonia emission measurements of an intensively grazed pasture
Resource and physiological constraints on global crop production enhancements from atmospheric particulate matter and nitrogen deposition
Technical note: In situ measurement of flux and isotopic composition of CO2 released during oxidative weathering of sedimentary rocks
Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia
Recent past (1979–2014) and future (2070–2099) isoprene fluxes over Europe simulated with the MEGAN–MOHYCAN model
Upside-down fluxes Down Under: CO2 net sink in winter and net source in summer in a temperate evergreen broadleaf forest
Jize Jiang, David S. Stevenson, Aimable Uwizeye, Giuseppe Tempio, and Mark A. Sutton
Biogeosciences, 18, 135–158, https://doi.org/10.5194/bg-18-135-2021, https://doi.org/10.5194/bg-18-135-2021, 2021
Short summary
Short summary
Ammonia is a key water and air pollutant and impacts human health and climate change. Ammonia emissions mainly originate from agriculture. We find that chicken agriculture contributes to large ammonia emissions, especially in hot and wet regions. These emissions can be greatly affected by the local environment, i.e. temperature and humidity, and also by human management. We develop a model that suggests ammonia emissions from chicken farming are likely to increase under a warming climate.
Richard Wehr and Scott R. Saleska
Biogeosciences, 18, 13–24, https://doi.org/10.5194/bg-18-13-2021, https://doi.org/10.5194/bg-18-13-2021, 2021
Short summary
Short summary
Water and carbon exchange between plants and the atmosphere is governed by stomata: adjustable pores in the surfaces of leaves. The combined gas conductance of all the stomata in a canopy has long been estimated using an equation that is shown here to be systematically incorrect because it relies on measurements that are generally inadequate. An alternative approach is shown to be more accurate in all probable scenarios and to imply different responses of stomatal conductance to the environment.
Bart Schilperoort, Miriam Coenders-Gerrits, César Jiménez Rodríguez, Christiaan van der Tol, Bas van de Wiel, and Hubert Savenije
Biogeosciences, 17, 6423–6439, https://doi.org/10.5194/bg-17-6423-2020, https://doi.org/10.5194/bg-17-6423-2020, 2020
Short summary
Short summary
With distributed temperature sensing (DTS) we measured a vertical temperature profile in a forest, from the forest floor to above the treetops. Using this temperature profile we can see which parts of the forest canopy are colder (thus more dense) or warmer (and less dense) and study the effect this has on the suppression of turbulent mixing. This can be used to improve our knowledge of the interaction between the atmosphere and forests and improve carbon dioxide flux measurements over forests.
Yayi Niu, Yuqiang Li, Hanbo Yun, Xuyang Wang, Xiangwen Gong, Yulong Duan, and Jing Liu
Biogeosciences, 17, 6309–6326, https://doi.org/10.5194/bg-17-6309-2020, https://doi.org/10.5194/bg-17-6309-2020, 2020
Short summary
Short summary
We report the results from continuous year-round CO2 observations from a sandy grassland in the Horqin Sandy Land using the eddy covariance technique. To quantify the diurnal, seasonal, and annual variation in net ecosystem CO2 exchange, gross primary productivity, and ecosystem respiration and to identify the different scales of environmental factors and the underlying mechanisms, we also explored how the annual precipitation affects the net ecosystem CO2 exchange and its components.
Hélène Angot, Katelyn McErlean, Lu Hu, Dylan B. Millet, Jacques Hueber, Kaixin Cui, Jacob Moss, Catherine Wielgasz, Tyler Milligan, Damien Ketcherside, M. Syndonia Bret-Harte, and Detlev Helmig
Biogeosciences, 17, 6219–6236, https://doi.org/10.5194/bg-17-6219-2020, https://doi.org/10.5194/bg-17-6219-2020, 2020
Short summary
Short summary
We report biogenic volatile organic compounds (BVOCs) ambient levels and emission rates from key vegetation species in the Alaskan arctic tundra, providing a new data set to further constrain isoprene chemistry under low NOx conditions in models. We add to the growing body of evidence that climate-induced changes in the vegetation composition will significantly affect the BVOC emission potential of the tundra, with implications for atmospheric oxidation processes and climate feedbacks.
Teresa M. Seifried, Paul Bieber, Laura Felgitsch, Julian Vlasich, Florian Reyzek, David G. Schmale III, and Hinrich Grothe
Biogeosciences, 17, 5655–5667, https://doi.org/10.5194/bg-17-5655-2020, https://doi.org/10.5194/bg-17-5655-2020, 2020
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
Short summary
Short summary
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.
Christian Markwitz, Alexander Knohl, and Lukas Siebicke
Biogeosciences, 17, 5183–5208, https://doi.org/10.5194/bg-17-5183-2020, https://doi.org/10.5194/bg-17-5183-2020, 2020
Short summary
Short summary
Agroforestry has been shown to alter the microclimate and to lead to higher carbon sequestration above ground and in the soil. In this study, we investigated the impact of agroforestry systems on system-scale evapotranspiration (ET) due to concerns about increased water losses to the atmosphere. Results showed small differences in annual sums of ET over agroforestry relative to monoculture systems, indicating that agroforestry in Germany can be a land use alternative to monoculture agriculture.
Arnaud P. Praplan, Toni Tykkä, Simon Schallhart, Virpi Tarvainen, Jaana Bäck, and Heidi Hellén
Biogeosciences, 17, 4681–4705, https://doi.org/10.5194/bg-17-4681-2020, https://doi.org/10.5194/bg-17-4681-2020, 2020
Short summary
Short summary
In this paper, we study emissions of volatile organic compounds (VOCs) from three boreal tree species. Individual compounds are quantified with on-line separation analytical techniques, while the total reactivity of the emissions is measured using a custom-built instrument. On some occasions, in particular when the trees suffer from stress, the total reactivity measured is higher than the sum of the reactivity of individual compounds. This indicates that the threes emit VOCs that remain unknown.
Philipp A. Nauer, Eleonora Chiri, Thanavit Jirapanjawat, Chris Greening, and Perran L. M. Cook
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-282, https://doi.org/10.5194/bg-2020-282, 2020
Revised manuscript accepted for BG
Short summary
Short summary
Hydrogen (H2) and carbon monoxide (CO) are atmospheric trace gases cycled via microbial metabolisms. We observed strong H2 and CO contamination from rubber septa used to seal common gas-sample storage vials. Here we propose a simple and inexpensive modification of such vials to allow reliable storage of H2, CO and methane trace-gas samples for timescales of weeks to months, thus enabling extensive field campaigns to investigate H2 and CO biogeochemistry in remote areas.
Daniel Diaz-de-Quijano, Aleksander Vladimirovich Ageev, Elena Anatolevna Ivanova, and Olesia Valerevna Anishchenko
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-125, https://doi.org/10.5194/bg-2020-125, 2020
Preprint under review for BG
Short summary
Short summary
Winter atmospheric nitrogen and phosphorus depositions were measured for the first time in the West Sayan mountains (Siberia). The low and very low atmospheric N and P depositions could be responsible for the observed lake phytoplankton N-P colimitation. We hypothesize that slight imbalances in the nutrient deposition, as expected in the context of global change (climate, forest fire regime, and anthropogenic nitrogen emissions), could have important effects on the ecology of these lakes.
June Skeeter, Andreas Christen, Andrée-Anne Laforce, Elyn Humphreys, and Greg Henry
Biogeosciences, 17, 4421–4441, https://doi.org/10.5194/bg-17-4421-2020, https://doi.org/10.5194/bg-17-4421-2020, 2020
Short summary
Short summary
This study investigates carbon fluxes at Illisarvik, an artificial drained thermokarst lake basin (DTLB) in Canada's Northwest Territories. This is the first carbon balance study in a DTLB outside of Alaska. We used neural networks to identify the factors controlling fluxes and to model the effects of the controlling factors. We discuss the role of vegetation heterogeneity in fluxes, especially of methane, and we show how the carbon fluxes differ from Alaskan DTLBs.
Anne J. Hoek van Dijke, Kaniska Mallick, Martin Schlerf, Miriam Machwitz, Martin Herold, and Adriaan J. Teuling
Biogeosciences, 17, 4443–4457, https://doi.org/10.5194/bg-17-4443-2020, https://doi.org/10.5194/bg-17-4443-2020, 2020
Short summary
Short summary
We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere exchange of water, energy, and carbon fluxes. We show that the correlation between the LAI and water and energy fluxes depends on the vegetation type and aridity. For carbon fluxes, however, the correlation with the LAI was strong and independent of vegetation and aridity. This study provides insight into when the vegetation LAI can be used to model or extrapolate land–atmosphere fluxes.
Jordi Vilà-Guerau de Arellano, Patrizia Ney, Oscar Hartogensis, Hugo de Boer, Kevin van Diepen, Dzhaner Emin, Geiske de Groot, Anne Klosterhalfen, Matthias Langensiepen, Maria Matveeva, Gabriela Miranda-García, Arnold F. Moene, Uwe Rascher, Thomas Röckmann, Getachew Adnew, Nicolas Brüggemann, Youri Rothfuss, and Alexander Graf
Biogeosciences, 17, 4375–4404, https://doi.org/10.5194/bg-17-4375-2020, https://doi.org/10.5194/bg-17-4375-2020, 2020
Short summary
Short summary
The CloudRoots field experiment has obtained an open comprehensive observational data set that includes soil, plant, and atmospheric variables to investigate the interactions between a heterogeneous land surface and its overlying atmospheric boundary layer, including the rapid perturbations of clouds in evapotranspiration. Our findings demonstrate that in order to understand and represent diurnal variability, we need to measure and model processes from the leaf to the landscape scales.
Dean Howard, Yannick Agnan, Detlev Helmig, Yu Yang, and Daniel Obrist
Biogeosciences, 17, 4025–4042, https://doi.org/10.5194/bg-17-4025-2020, https://doi.org/10.5194/bg-17-4025-2020, 2020
Short summary
Short summary
The Arctic tundra represents a vast store of carbon that may be broken down by microbial activity into greenhouse gases such as CO2 and CH4. Though microbes are less active in winter, the long duration of the cold season makes this period very important for carbon cycling. We show that, under conditions of warmer winter air temperatures and greater snowfall, deeper soils can remain warm enough to sustain significantly enhanced CH4 emission. This could have large implications for future climates.
Kristina Bohm, Joachim Ingwersen, Josipa Milovac, and Thilo Streck
Biogeosciences, 17, 2791–2805, https://doi.org/10.5194/bg-17-2791-2020, https://doi.org/10.5194/bg-17-2791-2020, 2020
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
Short summary
Short summary
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.
Martin Jung, Christopher Schwalm, Mirco Migliavacca, Sophia Walther, Gustau Camps-Valls, Sujan Koirala, Peter Anthoni, Simon Besnard, Paul Bodesheim, Nuno Carvalhais, Frédéric Chevallier, Fabian Gans, Daniel S. Goll, Vanessa Haverd, Philipp Köhler, Kazuhito Ichii, Atul K. Jain, Junzhi Liu, Danica Lombardozzi, Julia E. M. S. Nabel, Jacob A. Nelson, Michael O'Sullivan, Martijn Pallandt, Dario Papale, Wouter Peters, Julia Pongratz, Christian Rödenbeck, Stephen Sitch, Gianluca Tramontana, Anthony Walker, Ulrich Weber, and Markus Reichstein
Biogeosciences, 17, 1343–1365, https://doi.org/10.5194/bg-17-1343-2020, https://doi.org/10.5194/bg-17-1343-2020, 2020
Short summary
Short summary
We test the approach of producing global gridded carbon fluxes based on combining machine learning with local measurements, remote sensing and climate data. We show that we can reproduce seasonal variations in carbon assimilated by plants via photosynthesis and in ecosystem net carbon balance. The ecosystem’s mean carbon balance and carbon flux trends require cautious interpretation. The analysis paves the way for future improvements of the data-driven assessment of carbon fluxes.
Christopher Krich, Jakob Runge, Diego G. Miralles, Mirco Migliavacca, Oscar Perez-Priego, Tarek El-Madany, Arnaud Carrara, and Miguel D. Mahecha
Biogeosciences, 17, 1033–1061, https://doi.org/10.5194/bg-17-1033-2020, https://doi.org/10.5194/bg-17-1033-2020, 2020
Short summary
Short summary
Causal inference promises new insight into biosphere–atmosphere interactions using time series only. To understand the behaviour of a specific method on such data, we used artificial and observation-based data. The observed structures are very interpretable and reveal certain ecosystem-specific behaviour, as only a few relevant links remain, in contrast to pure correlation techniques. Thus, causal inference allows to us gain well-constrained insights into processes and interactions.
Paul C. Stoy, Adam A. Cook, John E. Dore, William Kleindl, E. N. Jack Brookshire, and Tobias Gerken
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-38, https://doi.org/10.5194/bg-2020-38, 2020
Revised manuscript accepted for BG
Short summary
Short summary
The reintroduction of American bison creates multiple environmental benefits. Ruminants like bison also emit methane – a potent greenhouse gas – to the atmosphere, which has not been measured to date in a field setting. We measured methane efflux from an American bison herd during winter using eddy covariance. Automated cameras were used to approximate their location to calculate per-animal flux. From the measurements, bison do not emit more methane than the cattle they often replace.
Alexander J. Turner, Philipp Köhler, Troy S. Magney, Christian Frankenberg, Inez Fung, and Ronald C. Cohen
Biogeosciences, 17, 405–422, https://doi.org/10.5194/bg-17-405-2020, https://doi.org/10.5194/bg-17-405-2020, 2020
Short summary
Short summary
We present the highest resolution solar-induced chlorophyll fluorescence (SIF) dataset from satellite measurements, providing previously unobservable phenomena related to plant photosynthesis. We find a strong correspondence between TROPOMI SIF and AmeriFlux GPP. We then observe a double peak in the seasonality of California's photosynthesis, not seen by traditional vegetation indices (e.g., MODIS). This is further corroborated by EOF/PC analysis.
Nicholas Cowan, Peter Levy, Andrea Moring, Ivan Simmons, Colin Bache, Amy Stephens, Joana Marinheiro, Jocelyn Brichet, Ling Song, Amy Pickard, Connie McNeill, Roseanne McDonald, Juliette Maire, Benjamin Loubet, Polina Voylokov, Mark Sutton, and Ute Skiba
Biogeosciences, 16, 4731–4745, https://doi.org/10.5194/bg-16-4731-2019, https://doi.org/10.5194/bg-16-4731-2019, 2019
Short summary
Short summary
Commonly used nitrogen fertilisers, ammonium nitrate, urea and urea coated with a urease inhibitor, were applied to experimental plots. Fertilisation with ammonium nitrate supported the largest yields but also resulted in the largest nitrous oxide emissions. Urea was the largest emitter of ammonia. The coated urea did not significantly increase yields; however, ammonia emissions were substantially smaller than urea. The coated urea was the best environmentally but is economically unattractive.
Boris Bonn, Ruth-Kristina Magh, Joseph Rombach, and Jürgen Kreuzwieser
Biogeosciences, 16, 4627–4645, https://doi.org/10.5194/bg-16-4627-2019, https://doi.org/10.5194/bg-16-4627-2019, 2019
Short summary
Short summary
The effect of soil water availability (SWA) on emissions of isoprenoids by trees was studied by setting up a parameterization from published data. SWA impact on isoprene emissions can be described by a growth type curve, while monoterpene emissions display a pattern reflecting plants’ stomata opening. Sesquiterpene fluxes tend to increase at the start of severe drought until resources decline. Feedbacks on atmospheric processes such as ozone and aerosol particles are further studied.
Martin Jiskra, Jeroen E. Sonke, Yannick Agnan, Detlev Helmig, and Daniel Obrist
Biogeosciences, 16, 4051–4064, https://doi.org/10.5194/bg-16-4051-2019, https://doi.org/10.5194/bg-16-4051-2019, 2019
Short summary
Short summary
The tundra plays a pivotal role in Arctic mercury cycling by storing atmospheric mercury deposition and shuttling it to the Arctic Ocean. We used the isotopic fingerprint of mercury to investigate the processes controlling atmospheric mercury deposition. We found that the uptake of atmospheric mercury by vegetation was the major deposition source. Direct deposition to snow or soils only played a minor role. These results improve our understanding of Arctic mercury cycling.
Paul C. Stoy, Tarek S. El-Madany, Joshua B. Fisher, Pierre Gentine, Tobias Gerken, Stephen P. Good, Anne Klosterhalfen, Shuguang Liu, Diego G. Miralles, Oscar Perez-Priego, Angela J. Rigden, Todd H. Skaggs, Georg Wohlfahrt, Ray G. Anderson, A. Miriam J. Coenders-Gerrits, Martin Jung, Wouter H. Maes, Ivan Mammarella, Matthias Mauder, Mirco Migliavacca, Jacob A. Nelson, Rafael Poyatos, Markus Reichstein, Russell L. Scott, and Sebastian Wolf
Biogeosciences, 16, 3747–3775, https://doi.org/10.5194/bg-16-3747-2019, https://doi.org/10.5194/bg-16-3747-2019, 2019
Short summary
Short summary
Key findings are the nearly optimal response of T to atmospheric water vapor pressure deficits across methods and scales. Additionally, the notion that T / ET intermittently approaches 1, which is a basis for many partitioning methods, does not hold for certain methods and ecosystems. To better constrain estimates of E and T from combined ET measurements, we propose a combination of independent measurement techniques to better constrain E and T at the ecosystem scale.
Christian Stiegler, Ana Meijide, Yuanchao Fan, Ashehad Ashween Ali, Tania June, and Alexander Knohl
Biogeosciences, 16, 2873–2890, https://doi.org/10.5194/bg-16-2873-2019, https://doi.org/10.5194/bg-16-2873-2019, 2019
Short summary
Short summary
We show the response of a commercial oil palm plantation in Indonesia to the extreme El Niño–Southern Oscillation (ENSO) event in 2015. Our measurements and model suggest that without human-induced forest fires and related smoke emissions, the observed negative impact on oil palm carbon dioxide greenhouse gas fluxes, carbon accumulation and yield due to ENSO-related drought would have been less pronounced. With respect to climate change we highlight the importance of fire prevention in the area.
Sven Boese, Martin Jung, Nuno Carvalhais, Adriaan J. Teuling, and Markus Reichstein
Biogeosciences, 16, 2557–2572, https://doi.org/10.5194/bg-16-2557-2019, https://doi.org/10.5194/bg-16-2557-2019, 2019
Short summary
Short summary
This study examines how limited water availability during droughts affects water-use efficiency. This metric describes how much carbon an ecosystem can assimilate for each unit of water lost by transpiration. We test how well different water-use efficiency models can capture the dynamics of transpiration decrease due to increased soil-water limitation. Accounting for the interacting effects of radiation and water limitation is necessary to accurately predict transpiration during these periods.
Raia Silvia Massad, Juliette Lathière, Susanna Strada, Mathieu Perrin, Erwan Personne, Marc Stéfanon, Patrick Stella, Sophie Szopa, and Nathalie de Noblet-Ducoudré
Biogeosciences, 16, 2369–2408, https://doi.org/10.5194/bg-16-2369-2019, https://doi.org/10.5194/bg-16-2369-2019, 2019
Short summary
Short summary
Human activities strongly interfere in the land–atmosphere interactions through changes in land use and land cover changes and land management. The objectives of this review are to synthesize the existing experimental and modelling works that investigate physical, chemical, and biogeochemical interactions between land surface and the atmosphere. Greater consideration of atmospheric chemistry, through land–atmosphere interactions, as a decision parameter for land management is essential.
Yuzo Miyazaki, Divyavani Gowda, Eri Tachibana, Yoshiyuki Takahashi, and Tsutom Hiura
Biogeosciences, 16, 2181–2188, https://doi.org/10.5194/bg-16-2181-2019, https://doi.org/10.5194/bg-16-2181-2019, 2019
Short summary
Short summary
Fatty alcohols (FAs) are major components of surface lipids and can act as surface-active atmospheric organic aerosols, influencing the cloud formation. We identified five secondary FAs in atmospheric aerosols at two temperate forest sites and revealed their distinct seasonal variation for the first time. Our results suggest that they originated mostly from plant wax and could be used as useful tracers for primary biological aerosol particles.
Claire Delon, Corinne Galy-Lacaux, Dominique Serça, Erwan Personne, Eric Mougin, Marcellin Adon, Valérie Le Dantec, Benjamin Loubet, Rasmus Fensholt, and Torbern Tagesson
Biogeosciences, 16, 2049–2077, https://doi.org/10.5194/bg-16-2049-2019, https://doi.org/10.5194/bg-16-2049-2019, 2019
Short summary
Short summary
In the Sahel region during the wet season, CO2 and NO are released to the atmosphere, and NH3 is deposited on the soil. During the dry season, processes are strongly reduced. This paper shows the temporal variation in these soil–atmosphere exchanges of trace gases for 2 years, their sharp increase when the first rains fall onto dry soils, and how microbial processes are involved. We use a modelling approach, which is necessary when continuous measurements are not possible in remote regions.
Anne Sofie Lansø, Thomas Luke Smallman, Jesper Heile Christensen, Mathew Williams, Kim Pilegaard, Lise-Lotte Sørensen, and Camilla Geels
Biogeosciences, 16, 1505–1524, https://doi.org/10.5194/bg-16-1505-2019, https://doi.org/10.5194/bg-16-1505-2019, 2019
Short summary
Short summary
Although coastal regions only amount to 7 % of the global oceans, their contribution to the global oceanic surface exchange of CO2 is much greater. In this study, we gain detailed insight into how these coastal marine fluxes compare to CO2 exchange from coastal land regions. Annually, the coastal marine exchanges are smaller than the total uptake of CO2 from the land surfaces within the study area but comparable in size to terrestrial fluxes from individual land cover classes of the region.
Ravshan Eshonkulov, Arne Poyda, Joachim Ingwersen, Hans-Dieter Wizemann, Tobias K. D. Weber, Pascal Kremer, Petra Högy, Alim Pulatov, and Thilo Streck
Biogeosciences, 16, 521–540, https://doi.org/10.5194/bg-16-521-2019, https://doi.org/10.5194/bg-16-521-2019, 2019
Short summary
Short summary
We compared the energy balance closure (EBC) under varying environmental conditions and investigated a wide range of possible reasons for the energy imbalance. As measures for the imbalance, we used ordinary linear regression, the energy balance ratio (EBR), and the energy residual. The EBR was also investigated as a function of buoyancy, friction velocity, and atmospheric stability. Moreover, the relationship between the EBC and flux source area or footprint was also investigated.
Juha-Pekka Tuovinen, Mika Aurela, Juha Hatakka, Aleksi Räsänen, Tarmo Virtanen, Juha Mikola, Viktor Ivakhov, Vladimir Kondratyev, and Tuomas Laurila
Biogeosciences, 16, 255–274, https://doi.org/10.5194/bg-16-255-2019, https://doi.org/10.5194/bg-16-255-2019, 2019
Short summary
Short summary
We analysed ecosystem-scale measurements of methane exchange between Arctic tundra and the atmosphere, taking into account the large variations in vegetation and soil properties. The measurements are spatial averages, but using meteorological and statistical modelling techniques we could estimate methane emissions for different land cover types and quantify how well the measurements correspond to the spatial variability. This provides a more accurate estimate of the regional methane emission.
Benjamin Gaubert, Britton B. Stephens, Sourish Basu, Frédéric Chevallier, Feng Deng, Eric A. Kort, Prabir K. Patra, Wouter Peters, Christian Rödenbeck, Tazu Saeki, David Schimel, Ingrid Van der Laan-Luijkx, Steven Wofsy, and Yi Yin
Biogeosciences, 16, 117–134, https://doi.org/10.5194/bg-16-117-2019, https://doi.org/10.5194/bg-16-117-2019, 2019
Short summary
Short summary
We have compared global carbon budgets calculated from numerical inverse models and CO2 observations, and evaluated how these systems reproduce vertical gradients in atmospheric CO2 from aircraft measurements. We found that available models have converged on near-neutral tropical total fluxes for several decades, implying consistent sinks in intact tropical forests, and that assumed fossil fuel emissions and predicted atmospheric growth rates are now the dominant axes of disagreement.
Archana Dayalu, J. William Munger, Steven C. Wofsy, Yuxuan Wang, Thomas Nehrkorn, Yu Zhao, Michael B. McElroy, Chris P. Nielsen, and Kristina Luus
Biogeosciences, 15, 6713–6729, https://doi.org/10.5194/bg-15-6713-2018, https://doi.org/10.5194/bg-15-6713-2018, 2018
Short summary
Short summary
Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in China. We model and evaluate hourly vegetation carbon dioxide (CO2) exchange (mass per unit area per unit time) in northern China from 2005 to 2009. The model is driven by satellite and meteorological data, is linked to ground-level ecosystem observations, and is applicable to other time periods. We find vegetation uptake of CO2 in summer is comparable to emissions from fossil fuels in northern China.
Sophia Walther, Luis Guanter, Birgit Heim, Martin Jung, Gregory Duveiller, Aleksandra Wolanin, and Torsten Sachs
Biogeosciences, 15, 6221–6256, https://doi.org/10.5194/bg-15-6221-2018, https://doi.org/10.5194/bg-15-6221-2018, 2018
Short summary
Short summary
We explored the timing of the peak of the short annual growing season in tundra ecosystems as indicated by an extensive suite of satellite indicators of vegetation productivity. Delayed peak greenness compared to peak photosynthesis is consistently found across years and land-cover classes. Plants also experience growth after optimal conditions for assimilation regarding light and temperature have passed. Our results have implications for the modelling of the circumpolar carbon balance.
Stefano Manzoni, Petr Čapek, Philipp Porada, Martin Thurner, Mattias Winterdahl, Christian Beer, Volker Brüchert, Jan Frouz, Anke M. Herrmann, Björn D. Lindahl, Steve W. Lyon, Hana Šantrůčková, Giulia Vico, and Danielle Way
Biogeosciences, 15, 5929–5949, https://doi.org/10.5194/bg-15-5929-2018, https://doi.org/10.5194/bg-15-5929-2018, 2018
Short summary
Short summary
Carbon fixed by plants and phytoplankton through photosynthesis is ultimately stored in soils and sediments or released to the atmosphere during decomposition of dead biomass. Carbon-use efficiency is a useful metric to quantify the fate of carbon – higher efficiency means higher storage and lower release to the atmosphere. Here we summarize many definitions of carbon-use efficiency and study how this metric changes from organisms to ecosystems and from terrestrial to aquatic environments.
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
Short summary
Short summary
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.
Jason A. Ducker, Christopher D. Holmes, Trevor F. Keenan, Silvano Fares, Allen H. Goldstein, Ivan Mammarella, J. William Munger, and Jordan Schnell
Biogeosciences, 15, 5395–5413, https://doi.org/10.5194/bg-15-5395-2018, https://doi.org/10.5194/bg-15-5395-2018, 2018
Short summary
Short summary
We have developed an accurate method (SynFlux) to estimate ozone deposition and stomatal uptake across 103 flux tower sites (43 US, 60 Europe), where ozone concentrations and fluxes have not been measured. In all, the SynFlux public dataset provides monthly values of ozone dry deposition for 926 site years across a wide array of ecosystems. The SynFlux dataset will promote further applications to ecosystem, air quality, or climate modeling across the geoscience community.
Carmen Emmel, Annina Winkler, Lukas Hörtnagl, Andrew Revill, Christof Ammann, Petra D'Odorico, Nina Buchmann, and Werner Eugster
Biogeosciences, 15, 5377–5393, https://doi.org/10.5194/bg-15-5377-2018, https://doi.org/10.5194/bg-15-5377-2018, 2018
Short summary
Short summary
It is of great interest to know whether croplands act as a net source or sink of atmospheric CO2 and if soil carbon (C) stocks are preserved over long timescales due to the role of C in soil fertility. For a cropland in Switzerland it was found that managing the field under the Swiss framework of the Proof of Ecological Performance (PEP) resulted in soil C losses of 18.0 %. Additional efforts are needed to bring Swiss management practices closer to the goal of preserving soil C in the long term.
Thomas Wutzler, Antje Lucas-Moffat, Mirco Migliavacca, Jürgen Knauer, Kerstin Sickel, Ladislav Šigut, Olaf Menzer, and Markus Reichstein
Biogeosciences, 15, 5015–5030, https://doi.org/10.5194/bg-15-5015-2018, https://doi.org/10.5194/bg-15-5015-2018, 2018
Short summary
Short summary
Net fluxes of carbon dioxide at the ecosystem level measured by eddy covariance are a main source for understanding biosphere–atmosphere interactions. However, there is a need for more usable and extensible tools for post-processing steps of the half-hourly flux data. Therefore, we developed the REddyProc package, providing data filtering, gap filling, and flux partitioning. The extensible functions are compatible with state-of-the-art tools but allow easier integration in extended analysis.
Matthew N. Hayek, Marcos Longo, Jin Wu, Marielle N. Smith, Natalia Restrepo-Coupe, Raphael Tapajós, Rodrigo da Silva, David R. Fitzjarrald, Plinio B. Camargo, Lucy R. Hutyra, Luciana F. Alves, Bruce Daube, J. William Munger, Kenia T. Wiedemann, Scott R. Saleska, and Steven C. Wofsy
Biogeosciences, 15, 4833–4848, https://doi.org/10.5194/bg-15-4833-2018, https://doi.org/10.5194/bg-15-4833-2018, 2018
Short summary
Short summary
We investigated the roles that weather and forest disturbances like drought play in shaping changes in ecosystem photosynthesis and carbon exchange in an Amazon forest. We discovered that weather largely influenced differences between years, but a prior drought, which occurred 3 years before measurements started, likely hampered photosynthesis in the first year. This is the first atmospheric evidence that drought can have legacy impacts on Amazon forest photosynthesis.
Anne-Cyrielle Genard-Zielinski, Christophe Boissard, Elena Ormeño, Juliette Lathière, Ilja M. Reiter, Henri Wortham, Jean-Philippe Orts, Brice Temime-Roussel, Bertrand Guenet, Svenja Bartsch, Thierry Gauquelin, and Catherine Fernandez
Biogeosciences, 15, 4711–4730, https://doi.org/10.5194/bg-15-4711-2018, https://doi.org/10.5194/bg-15-4711-2018, 2018
Short summary
Short summary
From seasonal in situ observations on how a Mediterranean ecosystem responds to drought, a specific isoprene emission (ER, emission rates) algorithm was developed, upon which 2100 projections (IPCC RCP2.6 and RCP8.5 scenarios) were made. Emission rates were found to be mainly sensitive to future temperature changes and poorly represented by current empirical emission models. Drought was found to aggravate thermal stress on emission rates.
Vivek K. Arora, Joe R. Melton, and David Plummer
Biogeosciences, 15, 4683–4709, https://doi.org/10.5194/bg-15-4683-2018, https://doi.org/10.5194/bg-15-4683-2018, 2018
Short summary
Short summary
Earth system models (ESMs) project future changes in climate in response to changes in anthropogenic emissions of greenhouse gases (GHGs). However, before this can be achieved the natural fluxes of a given GHG must also be modelled. This paper evaluates the natural methane fluxes simulated by the CLASS-CTEM model (which is the land component of the Canadian ESM) against observations to show that the simulated methane emissions from wetlands and fires, and soil uptake of methane are realistic.
Karl Voglmeier, Markus Jocher, Christoph Häni, and Christof Ammann
Biogeosciences, 15, 4593–4608, https://doi.org/10.5194/bg-15-4593-2018, https://doi.org/10.5194/bg-15-4593-2018, 2018
Luke D. Schiferl, Colette L. Heald, and David Kelly
Biogeosciences, 15, 4301–4315, https://doi.org/10.5194/bg-15-4301-2018, https://doi.org/10.5194/bg-15-4301-2018, 2018
Short summary
Short summary
To understand future food security, it is critical to develop realistic crop models with reliable sensitivity to environmental factors. We find that particulate matter (PM) causes a significant, but smaller, enhancement for global wheat and rice production than estimated without nutrient and physiological limitations imposed by a crop model. In contrast, maize grows near its physiological maximum, with little enhancement from PM. Nitrogen deposition leads to a small increase in crop production.
Guillaume Soulet, Robert G. Hilton, Mark H. Garnett, Mathieu Dellinger, Thomas Croissant, Mateja Ogrič, and Sébastien Klotz
Biogeosciences, 15, 4087–4102, https://doi.org/10.5194/bg-15-4087-2018, https://doi.org/10.5194/bg-15-4087-2018, 2018
Short summary
Short summary
Oxidative weathering of sedimentary rocks can release carbon dioxide to the atmosphere. Here, we designed a chamber-based method to measure these CO2 emissions directly for the first time. The chamber is drilled in the rock and allows us to collect the CO2 to fingerprint its source using carbon isotopes. We tested our method in Draix (France). The measured CO2 fluxes were substantial, with ~20% originating from oxidation of the rock organic matter and ~80% from dissolution of carbonate minerals.
Eliane G. Alves, Julio Tóta, Andrew Turnipseed, Alex B. Guenther, José Oscar W. Vega Bustillos, Raoni A. Santana, Glauber G. Cirino, Julia V. Tavares, Aline P. Lopes, Bruce W. Nelson, Rodrigo A. de Souza, Dasa Gu, Trissevgeni Stavrakou, David K. Adams, Jin Wu, Scott Saleska, and Antonio O. Manzi
Biogeosciences, 15, 4019–4032, https://doi.org/10.5194/bg-15-4019-2018, https://doi.org/10.5194/bg-15-4019-2018, 2018
Short summary
Short summary
This study shows that leaf quantity and leaf age have an important effect on seasonal changes in isoprene emissions and that these could play an even more important role in regulating ecosystem isoprene fluxes than light and temperature at seasonal timescales in tropical forests. These results bring novelty and new insight for future research because in the past leaf phenology was not considered as an important factor that controls biological processes in the tropics.
Maite Bauwens, Trissevgeni Stavrakou, Jean-François Müller, Bert Van Schaeybroeck, Lesley De Cruz, Rozemien De Troch, Olivier Giot, Rafiq Hamdi, Piet Termonia, Quentin Laffineur, Crist Amelynck, Niels Schoon, Bernard Heinesch, Thomas Holst, Almut Arneth, Reinhart Ceulemans, Arturo Sanchez-Lorenzo, and Alex Guenther
Biogeosciences, 15, 3673–3690, https://doi.org/10.5194/bg-15-3673-2018, https://doi.org/10.5194/bg-15-3673-2018, 2018
Short summary
Short summary
Biogenic isoprene fluxes are simulated over Europe with the MEGAN–MOHYCAN model for the recent past and end-of-century climate at high spatiotemporal resolution (0.1°, 3 min). Due to climate change, fluxes increased by 40 % over 1979–2014. Climate scenarios for 2070–2099 suggest an increase by 83 % due to climate, and an even stronger increase when the potential impact of CO2 fertilization is considered (up to 141 %). Accounting for CO2 inhibition cancels out a large part of these increases.
Alexandre A. Renchon, Anne Griebel, Daniel Metzen, Christopher A. Williams, Belinda Medlyn, Remko A. Duursma, Craig V. M. Barton, Chelsea Maier, Matthias M. Boer, Peter Isaac, David Tissue, Victor Resco de Dios, and Elise Pendall
Biogeosciences, 15, 3703–3716, https://doi.org/10.5194/bg-15-3703-2018, https://doi.org/10.5194/bg-15-3703-2018, 2018
Short summary
Short summary
We report the seasonality of net ecosystem–atmosphere CO2 exchange (NEE) in a temperate evergreen broadleaved forest in Sydney, Australia. We investigated how carbon exchange varied with climatic drivers and canopy dynamics (leaf area index, litter fall). We found that our site acted as a net source of carbon in summer and a net sink in winter. Ecosystem respiration (ER) drove NEE seasonality, as the seasonal amplitude of ER was greater than gross primary productivity.
Cited articles
Ahlström, A., Raupach, M., Schurgers, G., Smith, B., Arneth, A., Jung,
M., Reichstein, M., Canadell, J., Friedlingstein, P., Jain, A., Kato, E.,
Poulter, B., Sitch, S., Stocker, B., Viovy, N., Wang, Y. P., Wiltshire, A.,
Zaehle, S., and Zeng, N.: The dominant role of semi-arid ecosystems in the
trend and variability of the land CO2 sink, Science,
348, 895–899, https://doi.org/10.1126/science.aaa1668, 2015.
Anderegg, W. R., Ballantyne, A. P., Smith, W. K., Majkut, J., Rabin, S.,
Beaulieu, C., Birdsey, R., Dunne, J. P., Houghton, R. A., Myneni, R. B., and
Pan, Y.: Tropical nighttime warming as a dominant driver of variability in
the terrestrial carbon sink, P. Natl. Acad. Sci. USA, 112, 15591–15596, https://doi.org/10.1073/pnas.1521479112, 2015.
Arora, V. K., Boer, G. J., Friedlingstein, P., Eby, M., Jones, C. D.,
Christian, J. R., Bonan, G., Bopp, L., Brovkin, V., Cadule, P., Hajima, T.,
Ilyina, T., Lindsay, K., Tjiputra, J. F., and Wu, T.: Carbon-concentration
and carbon-climate feedbacks in CMIP5 earth system models, J. Clim., 26,
5289–5314, https://doi.org/10.1175/JCLI-D-12-00494.1, 2013.
Baldocchi, D.: TURNER REVIEW No. 15. “Breathing” of the terrestrial
biosphere: Lessons learned from a global network of carbon dioxide flux
measurement systems, Aust. J. Bot., 56, 1–26, https://doi.org/10.1071/BT07151, 2008.
Barba, J., Cueva, A., Bahn, M., Barron-Gafford, G. A., Bond-Lamberty, B.,
Hanson, P. J., Jaimes, A., Kulmala, L., Pumpanen, J., Scott, R. L.,
Wohlfahrt, G., and Vargas, R.: Comparing ecosystem and soil respiration:
Review and key challenges of tower-based and soil measurements, Agr. Forest
Meteorol., 249, 434–443, https://doi.org/10.1016/j.agrformet.2017.10.028,
2018.
Basile, S., Lin, X., and Keppel-Aleks, G.: Simulated CO2 dataset using the
atmospheric transport model GEOSChem v12.0.0: Response to regional land
carbon fluxes, https://doi.org/10.7302/xjzc-xy05, 2019.
Battle, M., Bender, M. L., Tans, P. P., White, J. W. C., Ellis, J. T., Conway, T.,
and Francey, R. J.: Global carbon sinks and their variability inferred from
atmospheric O2 and δ13C, Science, 287, 2467–2470,
https://doi.org/10.1126/science.287.5462.2467, 2000.
Bond-Lamberty, B. and Thomson, A.: A global database of soil respiration data, Biogeosciences, 7, 1915–1926, https://doi.org/10.5194/bg-7-1915-2010, 2010.
Bond-Lamberty, B., Wang, C., and Gower, S. T.: A global relationship between
the heterotrophic and autotrophic components of soil respiration?, Glob.
Change Biol., 10, 1756–1766, https://doi.org/10.1111/j.1365-2486.2004.00816.x, 2004.
Bond-Lamberty, B., Bronson, D., Bladyka, E., and Gower, S. T.: A comparison
of trenched plot techniques for partitioning soil respiration, Soil Biol.
Biochem., 43, 2108–2114, https://doi.org/10.1016/j.soilbio.2011.06.011, 2011.
Bradford, M. A., Wieder, W. R., Bonan, G. B., Fierer, N., Raymond, P. A., and
Crowther, T. W.: Managing uncertainty in soil carbon feedbacks to climate
change, Nat. Clim. Chang., 6, 751–758, https://doi.org/10.1038/nclimate3071, 2016.
Bruhwiler, L., Michalak, A. M., Birdsey, R., Huntzinger, D. N., Fisher, J.
B., Miller, J., and Houghton, R. A.: Overview of the Global Carbon Cycle,
Second State Carbon Cycle Rep., 1–33, https://doi.org/10.7930/SOCCR2.2018.Ch1, 2018.
Buchkowski, R. W., Bradford, M. A., Grandy, A. S., Schmitz, O. J., and
Wieder, W. R.: Applying population and community ecology theory to advance
understanding of belowground biogeochemistry, Ecol. Lett., 20, 231–245,
https://doi.org/10.1111/ele.12712, 2017.
Collier, N., Hoffman, F. M., Lawrence, D. M., Keppel-Aleks, G., Koven, C.
D., Riley, W. J., Mu, M., and Randerson, J. T.: The International Land Model
Benchmarking (ILAMB) System: Design, Theory, and Implementation, J. Adv.
Model. Earth Syst., 10, 2731–2754, https://doi.org/10.1029/2018MS001354, 2018.
Conant, R. T., Ryan, M. G., Ågren, G. I., Birge, H. E., Davidson, E. A.,
Eliasson, P. E., Evans, S. E., Frey, S. D., Giardina, C. P., Hopkins, F. M., and
Hyvönen, R.: Temperature and soil organic matter decomposition rates –
synthesis of current knowledge and a way forward, Glob. Chang. Biol.,
17, 3392–3404, https://doi.org/10.1111/j.1365-2486.2011.02496.x, 2011.
Cox, P. M., Pearson, D., Booth, B. B., Friedlingstein, P., Huntingford, C.,
Jones, C. D., and Luke, C. M.: Sensitivity of tropical carbon to climate
change constrained by carbon dioxide variability, Nature, 494,
341–344, https://doi.org/10.1038/nature11882, 2013.
Crisp, D., Pollock, H. R., Rosenberg, R., Chapsky, L., Lee, R. A. M., Oyafuso, F. A., Frankenberg, C., O'Dell, C. W., Bruegge, C. J., Doran, G. B., Eldering, A., Fisher, B. M., Fu, D., Gunson, M. R., Mandrake, L., Osterman, G. B., Schwandner, F. M., Sun, K., Taylor, T. E., Wennberg, P. O., and Wunch, D.: The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products, Atmos. Meas. Tech., 10, 59–81, https://doi.org/10.5194/amt-10-59-2017, 2017.
Davidson, E. A., Savage, K., Verchot, L. V., and Navarro, R.: Minimizing
artifacts and biases in chamber-based measurements of soil respiration,
Agr. Forest Meteorol., 113, 21–37, https://doi.org/10.1016/S0168-1923(02)00100-4,
2002.
Dlugokencky, E. J., Lang P. M., Mund J. W., Crotwell A. M., Crotwell M. J.,
and Thoning K. W.: Atmospheric carbon dioxide dry air mole fractions from
the NOAA ESRL carbon cycle cooperative global air sampling network,
1968–2015, version 2016-08-30, NOAA, available at:
ftp://aftp.cmdl.noaa.gov/data/trace_gases/co2/flask/surface/ (last access:4 January 2017),
2016.
Frankenberg, C., Fisher, J. B., Worden, J., Badgley, G., Saatchi, S. S.,
Lee, J. E., Toon, G. C., Butz, A., Jung, M., Kuze, A., and Yokota, T.: New
global observations of the terrestrial carbon cycle from GOSAT: Patterns of
plant fluorescence with gross primary productivity, Geophys. Res. Lett., 38, 1–6,
https://doi.org/10.1029/2011GL048738, 2011.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan,
K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
da Silva, A. M., Gu, W., Kim, G. K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The modern-era retrospective
analysis for research and applications, version 2 (MERRA-2), J. Clim.,
30, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
German, D. P., Marcelo, K. R. B., Stone, M. M., and Allison, S. D.: The
Michaelis-Menten kinetics of soil extracellular enzymes in response to
temperature: a cross-latitudinal study, Glob. Chang. Biol., 18,
1468–1479, https://doi.org/10.1111/j.1365-2486.2011.02615.x, 2012.
Guan, K., Berry, J. A., Zhang, Y., Joiner, J., Guanter, L., Badgley, G., and
Lobell, D. B.: Improving the monitoring of crop productivity using
spaceborne solar-induced fluorescence, Glob. Change Biol., 22, 716–726,
https://doi.org/10.1111/gcb.13136, 2016.
Hicke, J. A., Asner, G. P., Randerson, J. T., Tucker, C., Los, S., Birdsey,
R., Jenkins, J. C., and Field, C.: Trends in North American net primary
productivity derived from satellite observations, 1982–1998, Global
Biogeochem. Cy., 16, 2-1–2-14, https://doi.org/10.1029/2001gb001550, 2002.
Hoffman, F. M., Koven, C. D., Keppel-Aleks, G., Lawrence, D. M., Riley, W.
J., Randerson, J. T., Ahlström, A., Abramowitz, G., Baldocchi, D. D.,
Best, M. J., Bond-Lamberty, B., De Kauwe, M. G., Denning, A. S., Desai, A.
R., Eyring, V., Fisher, J. B., Fisher, R. A., Gleckler, P. J., Huang, M.,
Hugelius, G., Jain, A. K., Kiang, N. Y., Kim, H., Koster, R. D., Kumar, S.
V., Li, H., Luo, Y., Mao, J., McDowell, N. G., Mishra, U., Moorcroft, P. R.,
Pau, G. S. H., Ricciuto, D. M., Schaefer, K., Schwalm, C. R., Serbin, S. P.,
Shevliakova, E., Slater, A. G., Tang, J., Williams, M., Xia, J., Xu, C.,
Joseph, R., and Koch, D.: 2016 International Land Model Benchmarking (ILAMB)
Workshop Report, USDOE Office of Science, Washington, DC (United States), https://doi.org/10.2172/1330803, 2017.
Humphrey, V., Zscheischler, J., Ciais, P., Gudmundsson, L., Sitch, S., and
Seneviratne, S. I.: Sensitivity of atmospheric CO2 growth rate to
observed changes in terrestrial water storage, Nature, 560, 628–631,
https://doi.org/10.1038/s41586-018-0424-4, 2018.
Jenkinson, A. D. S., Andrew, S. P. S., Lynch, J. M., Goss, M. J., Tinker, P.
B., and Jenkinson, D. S.: The turnover of organic carbon and nitrogen in
soil, Philos. T. Roy. Soc. London B, 329, 361–368,
https://doi.org/10.1098/rstb.1990.0177, 1990.
Jones, P. D., Lister, D. H., Osborn, T. J., Harpham, C., Salmon, M., and
Morice, C. P.: Hemispheric and large-scale land-surface air temperature
variations: An extensive revision and an update to 2010, J. Geophys. Res.-Atmos., 117, D05127, https://doi.org/10.1029/2011JD017139, 2012.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., and Zhu, Y.: The NCEP/NCAR
40-year reanalysis project, B. Am. Meteorol. Soc., 77, 437–472,
https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2, 1996.
Keeling, C. D., Piper, S. C., Whorf, T. P., and Keeling, R. F.: Evolution of
natural and anthropogenic fluxes of atmospheric CO2 from 1957 to 2003,
Tellus B, 63, 1–22,
https://doi.org/10.1111/j.1600-0889.2010.00507.x, 2011.
Keppel-Aleks, G., Randerson, J. T., Lindsay, K., Stephens, B. B., Keith
Moore, J., Doney, S. C., Thornton, P. E., Mahowald, N. M., Hoffman, F. M.,
Sweeney, C., Tans, P. P., Wennberg, P. O., and Wofsy, S. C.: Atmospheric
carbon dioxide variability in the community earth system model: Evaluation
and transient dynamics during the twentieth and twenty-first centuries, J.
Clim., 26, 4447–4475, https://doi.org/10.1175/JCLI-D-12-00589.1, 2013.
Keppel-Aleks, G., Wolf, A. S., Mu, M., Doney, S. C., Morton, D. C.,
Kasibhatla, P. S., Miller, J. B., Dlugokencky, E. J., and Randerson, J. T.:
Separating the influence of temperature, drought, and fire on interannual variability in atmospheric CO2, Global Biogeochem.
Cy., 29, 1295–1310, https://doi.org/10.1002/2014GB004890, 2014.
Keppel-Aleks, G., Basile, S. J., and Hoffman, F. M.: A functional response
metric for the temperature sensitivity of tropical ecosystems, Earth
Interact., 22, 7, https://doi.org/10.1175/EI-D-17-0017.1, 2018.
Köhler, P., Frankenberg, C., Magney, T. S., Guanter, L., Joiner, J., and
Landgraf, J.: Global retrievals of solar – induced chlorophyll fluorescence
with TROPOMI: First results and intersensor comparison to OCO – 2, Geophys.
Res. Lett., 45, 10–456, https://doi.org/10.1029/2018GL079031, 2018.
Koven, C. D., Riley, W. J., Subin, Z. M., Tang, J. Y., Torn, M. S., Collins, W. D., Bonan, G. B., Lawrence, D. M., and Swenson, S. C.: The effect of vertically resolved soil biogeochemistry and alternate soil C and N models on C dynamics of CLM4, Biogeosciences, 10, 7109–7131, https://doi.org/10.5194/bg-10-7109-2013, 2013.
Lavigne, M. B., Ryan, M. G., Anderson, D. E., Baldocchi, D. D., Crill, P.
M., Fitzjarrald, D. R., Goulden, M. L., Gower, S. T., Massheder, J. M.,
McCaughey, J. H., Rayment, M., and Striegl, R. G.: Comparing nocturnal eddy
covariance measurements to estimates of ecosystem respiration made by
scaling chamber measurements at six coniferous boreal sites, J. Geophys.
Res.-Atmos., 102, 28977–28985, https://doi.org/10.1029/97jd01173, 1997.
Lehmann, J. and Kleber, M.: The contentious nature of soil organic matter,
Nature, 528, 60–68, https://doi.org/10.1038/nature16069, 2015.
Li, X., Xiao, J., He, B., Altaf Arain, M., Beringer, J., Desai, A. R., Emmel, C., Hollinger, D. Y., Krasnova, A., Mammarella, I., and Noe, S. M.: Solar‐induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO‐2 and flux tower observations, Glob. Change Biol., 24, 3990–4008, https://doi.org/10.1111/gcb.14297, 2018.
Medlyn, B. E., Zaehle, S., De Kauwe, M. G., Walker, A. P., Dietze, M. C.,
Hanson, P. J., Hickler, T., Jain, A. K., Luo, Y., Parton, W., Prentice, I.
C., Thornton, P. E., Wang, S., Wang, Y. P., Weng, E., Iversen, C. M.,
Mccarthy, H. R., Warren, J. M., Oren, R., and Norby, R. J.: Using ecosystem
experiments to improve vegetation models, Nat. Clim. Chang., 5, 528–534,
https://doi.org/10.1038/nclimate2621, 2015.
Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R.,
and Moreno, J.: Remote sensing of solar-induced chlorophyll fluorescence:
Review of methods and applications, Remote Sens. Environ., 113,
2037–2051, https://doi.org/10.1016/j.rse.2009.05.003, 2009.
Moorhead, D. L. and Weintraub, M. N.: The evolution and application of the
reverse Michaelis-Menten equation, Soil Biol. Biochem., 125, 261–262,
https://doi.org/10.1016/j.soilbio.2018.07.021, 2018.
Nevison, C. D., Mahowald, N. M., Doney, S. C., Lima, I. D., van der Werf, G.
R., Randerson, J. T., Baker, D. F., Kasibhatla, P., and McKinley, G. A.:
Contribution of ocean, fossil fuel, land biosphere, and biomass burning
carbon fluxes to seasonal and interannual variability in atmospheric
CO2, J. Geophys. Res.-Biogeosc., 113, 1–21,
https://doi.org/10.1029/2007JG000408, 2008.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M.,
Charles, D., Levis, S., Li, F., Riley, W. J., Zachary, M., Swenson, S. C.,
Thornton, P. E., Bozbiyik, A., Fisher, R., Heald, C. L., Kluzek, E.,
Lamarque, F., Lawrence, P. J., Leung, L. R., Muszala, S., Ricciuto, D. M.,
and Sacks, W.: Technical description of version 4.5 of the Community Land
Model (CLM), NCAR Technical Note NCAR/TN-503+STR, Natl. Cent. Atmos. Res.
Boulder, CO, (July), 420 pp., https://doi.org/10.5065/D6RR1W7M, 2013.
Parton, W. J.: The CENTURY Model, in: Evaluation of Soil Organic Matter
Models, edited by: Powlson, D. S., Smith, P., and Smith, J. U.,
Springer-Verlag, Berlin, Heidelberg, Germany, 283–291, https://doi.org/10.1007/978-3-642-61094-3_23, 1996.
Piao, S., Wang, X., Wang, K., Li, X., Bastos, A., Canadell, J. G., Ciais, P.,
Friedlingstein, P., and Sitch, S.: Interannual variation of terrestrial
carbon cycle: Issues and perspectives, Glob. Change Biol., 26, 300–318,
https://doi.org/10.1111/gcb.14884, 2020.
Potter, C. S., Randerson, J. T., Field, C. B., Matson, P. A., Vitousek, P.
M., Mooney, H. A., and Klooster, S. A.: Terrestrial ecosystem production: A
process model based on global satellite and surface data, Global Biogeochem.
Cy., 7, 811–841, https://doi.org/10.1029/93GB02725, 1993.
Poulter, B., Frank, D., Ciais, P., Myneni, R. B., Andela, N., Bi, J.,
Broquet, G., Canadell, J. G., Chevallier, F., Liu, Y. Y., Running, S. W.,
Stich, S., and van der Werf, G. R.: Contribution of semi-arid ecosystems to
interannual variability of the global carbon cycle, Nature, 509,
600–603, https://doi.org/10.1038/nature13376, 2014.
Pumpanen, J., Kolari, P., Ilvesniemi, H., Minkkinen, K., Vesala, T.,
Niinistö, S., Lohila, A., Larmola, T., Morero, M., Pihlatie, M.,
Janssens, I., Yuste, J. C., Grünzweig, J. M., Reth, S., Subke, J. A.,
Savage, K., Kutsch, W., Østreng, G., Ziegler, W., Anthoni, P., Lindroth,
A., and Hari, P.: Comparison of different chamber techniques for measuring
soil CO2 efflux, Agr. Forest Meteorol., 123, 159–176,
https://doi.org/10.1016/j.agrformet.2003.12.001, 2004.
Randerson, J. T., Thompson, M. V., and Malmstrom, C. M.: Substrate Limitations
for Heterotrophs: Implications for models that estimate the seasonal cycle
of atmospheric CO2, Global Biogeochem. Cy., 10, 585–602,
https://doi.org/10.1029/96GB01981, 1996.
Randerson, J. T., Thompson, M. V., Conway, T. J., Fung, I. Y., and Field, C.
B.: The contribution of sources and sinks to trends in the seasonal cycle of
atmospheric carbon dioxide, Global Biogeochem. Cy., 11, 535–560,
https://doi.org/10.1029/97GB02268, 1997.
Randerson, J. T., Hoffman, F. M., Thornton, P. E., Mahowald, N. M., Lindsay,
K., Lee, Y. H., Nevison, C. D., Doney, S. C., Bonan, G., Stöckli, R.,
Covey, C., Running, S. W., and Fung, I. Y.: Systematic assessment of
terrestrial biogeochemistry in coupled climate-carbon models, Glob. Change
Biol., 15, 2462–2484, https://doi.org/10.1111/j.1365-2486.2009.01912.x, 2009.
Rasmussen, C., Heckman, K., Wieder, W. R., Keiluweit, M., Lawrence, C. R.,
Berhe, A. A., Blankinship, J. C., Crow, S. E., Druhan, J. L., Hicks Pries,
C. E., Marin-Spiotta, E., Plante, A. F., Schädel, C., Schimel, J. P.,
Sierra, C. A., Thompson, A., and Wagai, R.: Beyond clay: towards an improved
set of variables for predicting soil organic matter content,
Biogeochemistry, 137, 297–306, https://doi.org/10.1007/s10533-018-0424-3, 2018.
Rayner, P. J., Law, R. M., Allison, C. E., Francey, R. J., Trudinger, C. M.,
and Pickett-Heaps, C.: Interannual variability of the global carbon cycle
(1992–2005) inferred by inversion of atmospheric CO2 and δ 13
CO2 measurements, Global Biogeochem. Cy., 22, 1–12,
https://doi.org/10.1029/2007GB003068, 2008.
Running, S. W., Nemani, R. R., Heinsch, F. A., Zhao, M., Reeves, M., and
Hashimoto, H.: A Continuous Satellite-Derived Measure of Global Terrestrial
Primary Production, Bioscience, 54, 547,
https://doi.org/10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2, 2004.
Ryan, M. G. and Law, B. E.: Interpreting, measuring, and modeling soil
respiration, Biogeochemistry, 73, 3–27, https://doi.org/10.1007/s10533-004-5167-7,
2005.
Schädel, C., Beem-Miller, J., Aziz Rad, M., Crow, S. E., Hicks Pries, C., Ernakovich, J., Hoyt, A. M., Plante, A., Stoner, S., Treat, C. C., and Sierra, C. A.: Decomposability of soil organic matter over time: The Soil Incubation Database (SIDb, version 1.0) and guidance for incubation procedures, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-184, in review, 2019.
Schmidt, M. W. I., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G.,
Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D.
A. C., Nannipieri, P., Rasse, D. P., Weiner, S., and Trumbore, S. E.:
Persistence of soil organic matter as an ecosystem property, Nature,
478, 49–56, https://doi.org/10.1038/nature10386, 2011.
Schuur, E. A. and Mack, M. C.: Ecological response to permafrost thaw and
consequences for local and global ecosystem services, Annu. Rev. Ecol. Evol.
S., 49, 279–301, https://doi.org/10.1146/annurev-ecolsys-121415-032349, 2018.
Sulman, B. N., Phillips, R. P., Oishi, A. C., Shevliakova, E., and Pacala, S.
W.: Microbe-driven turnover offsets mineral-mediated storage of soil carbon
under elevated CO2, Nat. Clim. Chang., 4, 1099–1102,
https://doi.org/10.1038/nclimate2436, 2014.
Sulman, B. N., Moore, J. A. M., Abramoff, R., Averill, C., Kivlin, S.,
Georgiou, K., Sridhar, B., Hartman, M. D., Wang, G., Wieder, W. R.,
Bradford, M. A., Luo, Y., Mayes, M. A., Morrison, E., Riley, W. J., Salazar,
A., Schimel, J. P., Tang, J., and Classen, A. T.: Multiple models and
experiments underscore large uncertainty in soil carbon dynamics,
Biogeochemistry, 141, 109–123, https://doi.org/10.1007/s10533-018-0509-z, 2018.
Todd-Brown, K. E. O., Randerson, J. T., Hopkins, F., Arora, V., Hajima, T., Jones, C., Shevliakova, E., Tjiputra, J., Volodin, E., Wu, T., Zhang, Q., and Allison, S. D.: Changes in soil organic carbon storage predicted by Earth system models during the 21st century, Biogeosciences, 11, 2341–2356, https://doi.org/10.5194/bg-11-2341-2014, 2014.
Turner, D. P., Ritts, W. D., Cohen, W. B., Gower, S. T., Running, S. W.,
Zhao, M., Costa, M. H., Kirschbaum, A. A., Ham, J. M., Saleska, S. R., and
Ahl, D. E.: Evaluation of MODIS NPP and GPP products across multiple biomes,
Remote Sens. Environ., 102, 282–292, https://doi.org/10.1016/j.rse.2006.02.017,
2006.
University of East Anglia Climatic Research Unit (Jones, P. D. and Harris, I. C.): CRU TS4.01: Climatic Research Unit (CRU) Time-Series (TS) Version 4.01 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901–Dec. 2016), Centre for Environmental Data Analysis, 4 December 2017, https://doi.org/10.5285/58a8802721c94c66ae45c3baa4d814d0, 2017.
Wang, Y. P., Law, R. M., and Pak, B.: A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere, Biogeosciences, 7, 2261–2282, https://doi.org/10.5194/bg-7-2261-2010, 2010.
Wieder, W. R., Bonan, G. B., and Allison, S. D.: Global soil carbon
projections are improved by modelling microbial processes, Nat. Clim.
Chang., 3, 909–912, https://doi.org/10.1038/nclimate1951, 2013.
Wieder, W. R., Grandy, A. S., Kallenbach, C. M., and Bonan, G. B.: Integrating microbial physiology and physio-chemical principles in soils with the MIcrobial-MIneral Carbon Stabilization (MIMICS) model, Biogeosciences, 11, 3899–3917, https://doi.org/10.5194/bg-11-3899-2014, 2014.
Wieder, W. R., Grandy, A. S., Kallenbach, C. M., Taylor, P. G., and Bonan, G. B.: Representing life in the Earth system with soil microbial functional traits in the MIMICS model, Geosci. Model Dev., 8, 1789–1808, https://doi.org/10.5194/gmd-8-1789-2015, 2015.
Wieder, W. R., Hartman, M. D., Sulman, B. N., Wang, Y. P., Koven, C. D., and
Bonan, G. B.: Carbon cycle confidence and uncertainty: Exploring variation
among soil biogeochemical models, Glob. Change Biol., 24, 1563–1579,
https://doi.org/10.1111/gcb.13979, 2018.
Wunch, D., Wennberg, P. O., Messerschmidt, J., Parazoo, N. C., Toon, G. C., Deutscher, N. M., Keppel-Aleks, G., Roehl, C. M., Randerson, J. T., Warneke, T., and Notholt, J.: The covariation of Northern Hemisphere summertime CO2 with surface temperature in boreal regions, Atmos. Chem. Phys., 13, 9447–9459, https://doi.org/10.5194/acp-13-9447-2013, 2013.
Yang, Z., Washenfelder, R. A., Keppel-Aleks, G., Krakauer, N. Y., Randerson,
J. T., Tans, P. P., Sweeney, C., and Wennberg, P. O.: New constraints on
Northern Hemisphere growing season net flux, Geophys. Res. Lett., 34, L12807,
https://doi.org/10.1029/2007GL029742, 2007.
Yokota, T., Yoshida, Y., Eguchi, N., Ota, Y., Tanaka, T., Watanabe, H., and
Maksyutov, S.: Global Concentrations of CO2 and CH4 Retrieved from
GOSAT: First Preliminary Results, Sola, 5, 160–163,
https://doi.org/10.2151/sola.2009-041, 2009.
Zhao, Z., Peng, C., Yang, Q., Meng, F. R., Song, X., Chen, S., Epule, T. E.,
Li, P., and Zhu, Q.: Model prediction of biome-specific global soil
respiration from 1960 to 2012, Earth's Futur., 5, 715–729,
https://doi.org/10.1002/2016EF000480, 2017.
Zhang, H., Goll, D. S., Wang, Y., Ciais, P., Wieder, W. R., Abramoff, R.,
Huang, Y., Guenet, B., Prescher, A., Viscarra Rossel, R., A., Barré, P.,
Chenu, C., Zhou, G., and Tang, X.: Microbial dynamics and soil physicochemical
properties explain large scale variations in soil organic carbon, Glob. Change
Biol., https://doi.org/10.1111/gcb.14994, 2020.
Search articles
Short summary
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange but is difficult to observe globally. We analyzed the imprint that this flux leaves on atmospheric CO2 using a set of simulations from HR models with common inputs. Models that represent microbial processes are more variable and have stronger temperature sensitivity than those that do not. Our results show that we can use atmospheric CO2 observations to evaluate and improve models of HR.
Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange...
Biogeosciences
An interactive open-access journal of the European Geosciences Union
All site content, except where otherwise noted, is licensed under the Creative Commons Attribution 4.0 License.