Articles | Volume 20, issue 7
https://doi.org/10.5194/bg-20-1473-2023
© Author(s) 2023. 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-20-1473-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2023
Research article |
| 14 Apr 2023
| 14 Apr 2023
Synergy between TROPOMI sun-induced chlorophyll fluorescence and MODIS spectral reflectance for understanding the dynamics of gross primary productivity at Integrated Carbon Observatory System (ICOS) ecosystem flux sites
Hamadou Balde
CORRESPONDING AUTHOR
Laboratoire de Météorologie Dynamique, Sorbonne
Université, IPSL, CNRS/L'École polytechnique, 91128 Palaiseau CEDEX,
France
Ecologie Systématique et Evolution, Université Paris-Saclay,
CNRS, AgroParisTech, 91190 Gif-sur-Yvette, France
Centre national d'études spatiales (CNES), 18 av Edouard Belin,
31400 Toulouse, France
ACRI-ST, 260 Route du Pin Montard, BP 234, 06904 Sophia-Antipolis,
France
Gabriel Hmimina
Laboratoire de Météorologie Dynamique, Sorbonne
Université, IPSL, CNRS/L'École polytechnique, 91128 Palaiseau CEDEX,
France
Yves Goulas
Laboratoire de Météorologie Dynamique, Sorbonne
Université, IPSL, CNRS/L'École polytechnique, 91128 Palaiseau CEDEX,
France
Gwendal Latouche
Ecologie Systématique et Evolution, Université Paris-Saclay,
CNRS, AgroParisTech, 91190 Gif-sur-Yvette, France
Kamel Soudani
Ecologie Systématique et Evolution, Université Paris-Saclay,
CNRS, AgroParisTech, 91190 Gif-sur-Yvette, France
Related authors
Hamadou Balde, Gabriel Hmimina, Yves Goulas, Gwendal Latouche, Abderrahmane Ounis, Daniel Berveiller, and Kamel Soudani
EGUsphere, https://doi.org/10.5194/egusphere-2024-657, https://doi.org/10.5194/egusphere-2024-657, 2024
Short summary
Short summary
To understand the drivers of GPP and SIF changes and of their links, we examined how SIF and GPP changed at daily and seasonal scales considering canopy structure and abiotic conditions in a deciduous oak forest. The data show that leaf and canopy properties variations, seasonal cycle of PAR, and abiotic factors control not only SIF and GPP changes, but also their links. Further, during the heatwaves in 2022, we noticed that SIF was a proxy of GPP, while VIs were not.
Hamadou Balde, Gabriel Hmimina, Yves Goulas, Gwendal Latouche, Abderrahmane Ounis, and Kamel Soudani
Biogeosciences, 21, 1259–1276, https://doi.org/10.5194/bg-21-1259-2024, https://doi.org/10.5194/bg-21-1259-2024, 2024
Short summary
Short summary
We show that FyieldLIF was not correlated with SIFy at the diurnal timescale, and the diurnal patterns in SIF and PAR did not match under clear-sky conditions due to canopy structure. Φk was sensitive to canopy structure. RF models show that Φk can be predicted using reflectance in different bands. RF models also show that FyieldLIF was more sensitive to reflectance and radiation than SIF and SIFy, indicating that the combined effect of reflectance bands could hide the SIF physiological trait.
Hamadou Balde, Gabriel Hmimina, Yves Goulas, Gwendal Latouche, Abderrahmane Ounis, Daniel Berveiller, and Kamel Soudani
EGUsphere, https://doi.org/10.5194/egusphere-2024-657, https://doi.org/10.5194/egusphere-2024-657, 2024
Short summary
Short summary
To understand the drivers of GPP and SIF changes and of their links, we examined how SIF and GPP changed at daily and seasonal scales considering canopy structure and abiotic conditions in a deciduous oak forest. The data show that leaf and canopy properties variations, seasonal cycle of PAR, and abiotic factors control not only SIF and GPP changes, but also their links. Further, during the heatwaves in 2022, we noticed that SIF was a proxy of GPP, while VIs were not.
Hamadou Balde, Gabriel Hmimina, Yves Goulas, Gwendal Latouche, Abderrahmane Ounis, and Kamel Soudani
Biogeosciences, 21, 1259–1276, https://doi.org/10.5194/bg-21-1259-2024, https://doi.org/10.5194/bg-21-1259-2024, 2024
Short summary
Short summary
We show that FyieldLIF was not correlated with SIFy at the diurnal timescale, and the diurnal patterns in SIF and PAR did not match under clear-sky conditions due to canopy structure. Φk was sensitive to canopy structure. RF models show that Φk can be predicted using reflectance in different bands. RF models also show that FyieldLIF was more sensitive to reflectance and radiation than SIF and SIFy, indicating that the combined effect of reflectance bands could hide the SIF physiological trait.
Kamel Soudani, Nicolas Delpierre, Daniel Berveiller, Gabriel Hmimina, Jean-Yves Pontailler, Lou Seureau, Gaëlle Vincent, and Éric Dufrêne
Biogeosciences, 18, 3391–3408, https://doi.org/10.5194/bg-18-3391-2021, https://doi.org/10.5194/bg-18-3391-2021, 2021
Short summary
Short summary
We present an exhaustive comparative survey of eight proximal methods to estimate forest phenology. We focused on methodological aspects and thoroughly assessed deviations between predicted and observed phenological dates and pointed out their main causes. We show that proximal methods provide robust phenological metrics. They can be used to retrieve long-term phenological series at flux measurement sites and help interpret the interannual variability and trends of mass and energy exchanges.
Jan Pisek, Angela Erb, Lauri Korhonen, Tobias Biermann, Arnaud Carrara, Edoardo Cremonese, Matthias Cuntz, Silvano Fares, Giacomo Gerosa, Thomas Grünwald, Niklas Hase, Michal Heliasz, Andreas Ibrom, Alexander Knohl, Johannes Kobler, Bart Kruijt, Holger Lange, Leena Leppänen, Jean-Marc Limousin, Francisco Ramon Lopez Serrano, Denis Loustau, Petr Lukeš, Lars Lundin, Riccardo Marzuoli, Meelis Mölder, Leonardo Montagnani, Johan Neirynck, Matthias Peichl, Corinna Rebmann, Eva Rubio, Margarida Santos-Reis, Crystal Schaaf, Marius Schmidt, Guillaume Simioni, Kamel Soudani, and Caroline Vincke
Biogeosciences, 18, 621–635, https://doi.org/10.5194/bg-18-621-2021, https://doi.org/10.5194/bg-18-621-2021, 2021
Short summary
Short summary
Understory vegetation is the most diverse, least understood component of forests worldwide. Understory communities are important drivers of overstory succession and nutrient cycling. Multi-angle remote sensing enables us to describe surface properties by means that are not possible when using mono-angle data. Evaluated over an extensive set of forest ecosystem experimental sites in Europe, our reported method can deliver good retrievals, especially over different forest types with open canopies.
Related subject area
Biogeochemistry: Air - Land Exchange
Using automated machine learning for the upscaling of gross primary productivity
Interpretability of negative latent heat fluxes from eddy covariance measurements in dry conditions
Forest-floor respiration, N2O fluxes, and CH4 fluxes in a subalpine spruce forest: drivers and annual budgets
Enhanced net CO2 exchange of a semideciduous forest in the southern Amazon due to diffuse radiation from biomass burning
Observational relationships between ammonia, carbon dioxide and water vapor under a wide range of meteorological and turbulent conditions: RITA-2021 campaign
High interspecific variability indicates pollen ice nucleators are incidental
Environmental controls of winter soil carbon dioxide fluxes in boreal and tundra environments
Origin of secondary fatty alcohols in atmospheric aerosols in a cool–temperate forest based on their mass size distributions
Sap flow and leaf gas exchange response to a drought and heatwave in urban green spaces in a Nordic city
Changes in biogenic volatile organic compound emissions in response to the El Niño–Southern Oscillation
The importance of plant-water stress for predictions of ground-level ozone in a warm world
Rethinking the deployment of static chambers for CO2 flux measurement in dry desert soils
Lichen species across Alaska produce highly active and stable ice nucleators
A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations
Snow–vegetation–atmosphere interactions in alpine tundra
Atmospheric deposition of reactive nitrogen to a deciduous forest in the southern Appalachian Mountains
Tropical cyclones facilitate recovery of forest leaf area from dry spells in East Asia
Minor contributions of daytime monoterpenes are major contributors to atmospheric reactivity
Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope
Forest–atmosphere exchange of reactive nitrogen in a remote region – Part II: Modeling annual budgets
Growth and actual leaf temperature modulate CO2 responsiveness of monoterpene emissions from holm oak in opposite ways
Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia
Reviews and syntheses: VOC emissions from soil cover in boreal and temperate natural ecosystems of the Northern Hemisphere
Internal tree cycling and atmospheric archiving of mercury: examination with concentration and stable isotope analyses
Contrasting drought legacy effects on gross primary productivity in a mixed versus pure beech forest
CO2 and CH4 exchanges between moist moss tundra and atmosphere on Kapp Linné, Svalbard
Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators
Variability and uncertainty in flux-site-scale net ecosystem exchange simulations based on machine learning and remote sensing: a systematic evaluation
Update of a biogeochemical model with process-based algorithms to predict ammonia volatilization from fertilized cultivated uplands and rice paddy fields
Massive warming-induced carbon loss from subalpine grassland soils in an altitudinal transplantation experiment
Climatic variation drives loss and restructuring of carbon and nitrogen in boreal forest wildfire
Gaps in network infrastructure limit our understanding of biogenic methane emissions for the United States
Changes of the aerodynamic characteristics of a flux site after an extensive windthrow
Carbon sequestration potential of street tree plantings in Helsinki
Technical note: Incorporating expert domain knowledge into causal structure discovery workflows
Sensitivity of biomass burning emissions estimates to land surface information
A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet)
Influence of plant ecophysiology on ozone dry deposition: comparing between multiplicative and photosynthesis-based dry deposition schemes and their responses to rising CO2 level
Modeling the interinfluence of fertilizer-induced NH3 emission, nitrogen deposition, and aerosol radiative effects using modified CESM2
Physiological and climate controls on foliar mercury uptake by European tree species
Radiation, soil water content, and temperature effects on carbon cycling in an alpine swamp meadow of the northeastern Qinghai–Tibetan Plateau
Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements
Forest–atmosphere exchange of reactive nitrogen in a remote region – Part I: Measuring temporal dynamics
Ideas and perspectives: Emerging contours of a dynamic exogenous kerogen cycle
Versatile soil gas concentration and isotope monitoring: optimization and integration of novel soil gas probes with online trace gas detection
On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes
Mercury accumulation in leaves of different plant types – the significance of tissue age and specific leaf area
Isolation of subpollen particles (SPPs) of birch: SPPs are potential carriers of ice nucleating macromolecules
Choosing an optimal β factor for relaxed eddy accumulation applications across vegetated and non-vegetated surfaces
Bioaerosols in the Amazon rain forest: temporal variations and vertical profiles of Eukarya, Bacteria, and Archaea
Max Gaber, Yanghui Kang, Guy Schurgers, and Trevor Keenan
Biogeosciences, 21, 2447–2472, https://doi.org/10.5194/bg-21-2447-2024, https://doi.org/10.5194/bg-21-2447-2024, 2024
Short summary
Short summary
Gross primary productivity (GPP) describes the photosynthetic carbon assimilation, which plays a vital role in the carbon cycle. We can measure GPP locally, but producing larger and continuous estimates is challenging. Here, we present an approach to extrapolate GPP to a global scale using satellite imagery and automated machine learning. We benchmark different models and predictor variables and achieve an estimate that can capture 75 % of the variation in GPP.
Sinikka J. Paulus, Rene Orth, Sung-Ching Lee, Anke Hildebrandt, Martin Jung, Jacob A. Nelson, Tarek Sebastian El-Madany, Arnaud Carrara, Gerardo Moreno, Matthias Mauder, Jannis Groh, Alexander Graf, Markus Reichstein, and Mirco Migliavacca
Biogeosciences, 21, 2051–2085, https://doi.org/10.5194/bg-21-2051-2024, https://doi.org/10.5194/bg-21-2051-2024, 2024
Short summary
Short summary
Porous materials are known to reversibly trap water from the air, even at low humidity. However, this behavior is poorly understood for soils. In this analysis, we test whether eddy covariance is able to measure the so-called adsorption of atmospheric water vapor by soils. We find that this flux occurs frequently during dry nights in a Mediterranean ecosystem, while EC detects downwardly directed vapor fluxes. These results can help to map moisture uptake globally.
Luana Krebs, Susanne Burri, Iris Feigenwinter, Mana Gharun, Philip Meier, and Nina Buchmann
Biogeosciences, 21, 2005–2028, https://doi.org/10.5194/bg-21-2005-2024, https://doi.org/10.5194/bg-21-2005-2024, 2024
Short summary
Short summary
This study explores year-round forest-floor greenhouse gas (GHG) fluxes in a Swiss spruce forest. Soil temperature and snow depth affected forest-floor respiration, while CH4 uptake was linked to snow cover. Negligible N2O fluxes were observed. In 2022, a warm year, CO2 emissions notably increased. The study suggests rising forest-floor GHG emissions due to climate change, impacting carbon sink behavior. Thus, for future forest management, continuous year-round GHG flux measurements are crucial.
Simone Rodrigues, Glauber Cirino, Demerval Moreira, Andrea Pozzer, Rafael Palácios, Sung-Ching Lee, Breno Imbiriba, José Nogueira, Maria Isabel Vitorino, and George Vourlitis
Biogeosciences, 21, 843–868, https://doi.org/10.5194/bg-21-843-2024, https://doi.org/10.5194/bg-21-843-2024, 2024
Short summary
Short summary
The radiative effects of atmospheric particles are still unknown for a wide variety of species and types of vegetation present in Amazonian biomes. We examined the effects of aerosols on solar radiation and their impacts on photosynthesis in an area of semideciduous forest in the southern Amazon Basin. Under highly smoky-sky conditions, our results show substantial photosynthetic interruption (20–70 %), attributed specifically to the decrease in solar radiation and leaf canopy temperature.
Ruben B. Schulte, Jordi Vilà-Guerau de Arellano, Susanna Rutledge-Jonker, Shelley van der Graaf, Jun Zhang, and Margreet C. van Zanten
Biogeosciences, 21, 557–574, https://doi.org/10.5194/bg-21-557-2024, https://doi.org/10.5194/bg-21-557-2024, 2024
Short summary
Short summary
We analyzed measurements with the aim of finding relations between the surface atmosphere exchange of NH3 and the CO2 uptake and transpiration by vegetation. We found a high correlation of daytime NH3 emissions with both latent heat flux and photosynthetically active radiation. Very few simultaneous measurements of NH3, CO2 fluxes and meteorological variables exist at sub-diurnal timescales. This study paves the way to finding more robust relations between the NH3 exchange flux and CO2 uptake.
Nina L. H. Kinney, Charles A. Hepburn, Matthew I. Gibson, Daniel Ballesteros, and Thomas F. Whale
EGUsphere, https://doi.org/10.5194/egusphere-2023-2705, https://doi.org/10.5194/egusphere-2023-2705, 2024
Short summary
Short summary
Molecules released from plant pollen induce the formation of ice from supercooled water at temperatures warm enough to suggest an underlying function for this activity. In this study we show that ice nucleators are ubiquitous in pollen. We suggest the molecules responsible fulfil some unrelated biological function and nucleate ice incidentally. The ubiquity of ice nucleating molecules in pollen and particularly active examples reveal a greater potential for pollen to impact weather and climate.
Alex Mavrovic, Oliver Sonnentag, Juha Lemmetyinen, Carolina Voigt, Nick Rutter, Paul Mann, Jean-Daniel Sylvain, and Alexandre Roy
Biogeosciences, 20, 5087–5108, https://doi.org/10.5194/bg-20-5087-2023, https://doi.org/10.5194/bg-20-5087-2023, 2023
Short summary
Short summary
We present an analysis of soil CO2 emissions in boreal and tundra regions during the non-growing season. We show that when the soil is completely frozen, soil temperature is the main control on CO2 emissions. When the soil is around the freezing point, with a mix of liquid water and ice, the liquid water content is the main control on CO2 emissions. This study highlights that the vegetation–snow–soil interactions must be considered to understand soil CO2 emissions during the non-growing season.
Yuhao Cui, Eri Tachibana, Kimitaka Kawamura, and Yuzo Miyazaki
Biogeosciences, 20, 4969–4980, https://doi.org/10.5194/bg-20-4969-2023, https://doi.org/10.5194/bg-20-4969-2023, 2023
Short summary
Short summary
Fatty alcohols (FAs) are major components of surface lipids in plant leaves and serve as surface-active aerosols. Our study on the aerosol size distributions in a forest suggests that secondary FAs (SFAs) originated from plant waxes and that leaf senescence status is likely an important factor controlling the size distribution of SFAs. This study provides new insights into the sources of primary biological aerosol particles (PBAPs) and their effects on the aerosol ice nucleation activity.
Joyson Ahongshangbam, Liisa Kulmala, Jesse Soininen, Yasmin Frühauf, Esko Karvinen, Yann Salmon, Anna Lintunen, Anni Karvonen, and Leena Järvi
Biogeosciences, 20, 4455–4475, https://doi.org/10.5194/bg-20-4455-2023, https://doi.org/10.5194/bg-20-4455-2023, 2023
Short summary
Short summary
Urban vegetation is important for removing urban CO2 emissions and cooling. We studied the response of urban trees' functions (photosynthesis and transpiration) to a heatwave and drought at four urban green areas in the city of Helsinki. We found that tree water use was increased during heatwave and drought periods, but there was no change in the photosynthesis rates. The heat and drought conditions were severe at the local scale but were not excessive enough to restrict urban trees' functions.
Ryan Vella, Andrea Pozzer, Matthew Forrest, Jos Lelieveld, Thomas Hickler, and Holger Tost
Biogeosciences, 20, 4391–4412, https://doi.org/10.5194/bg-20-4391-2023, https://doi.org/10.5194/bg-20-4391-2023, 2023
Short summary
Short summary
We investigated the effect of the El Niño–Southern Oscillation (ENSO) on biogenic volatile organic compound (BVOC) emissions from plants. ENSO events can cause a significant increase in these emissions, which have a long-term impact on the Earth's atmosphere. Persistent ENSO conditions can cause long-term changes in vegetation, resulting in even higher BVOC emissions. We link ENSO-induced emission anomalies with driving atmospheric and vegetational variables.
Tamara Emmerichs, Yen-Sen Lu, and Domenico Taraborrelli
EGUsphere, https://doi.org/10.5194/egusphere-2023-2306, https://doi.org/10.5194/egusphere-2023-2306, 2023
Short summary
Short summary
We assess the representation of the plant' response to surface water in a global atmospheric chemistry model. This sensitivity is crucial for the return of precipitation back to the atmosphere and thus significantly impacts the representation of weather as well as air quality. The newly implemented response function reduces this process towards a better comparison with satellite observations. This yields a higher intensity of unusual warm periods and a higher production of air pollutants.
Nadav Bekin and Nurit Agam
Biogeosciences, 20, 3791–3802, https://doi.org/10.5194/bg-20-3791-2023, https://doi.org/10.5194/bg-20-3791-2023, 2023
Short summary
Short summary
The mechanisms of soil CO2 flux in dry desert soils are not fully understood. Yet studies conducted in desert ecosystems rarely discuss potential errors related to using the commonly used flux chambers in dry and bare soils. In our study, the conventional deployment practice of the chambers underestimated the instantaneous CO2 flux by up to 50 % and the total daily CO2 uptake by 35 %. This suggests that desert soils are a larger carbon sink than previously reported.
Rosemary J. Eufemio, Ingrid de Almeida Ribeiro, Todd L. Sformo, Gary A. Laursen, Valeria Molinero, Janine Fröhlich-Nowoisky, Mischa Bonn, and Konrad Meister
Biogeosciences, 20, 2805–2812, https://doi.org/10.5194/bg-20-2805-2023, https://doi.org/10.5194/bg-20-2805-2023, 2023
Short summary
Short summary
Lichens, the dominant vegetation in the Arctic, contain ice nucleators (INs) that enable freezing close to 0°C. Yet the abundance, diversity, and function of lichen INs is unknown. Our screening of lichens across Alaska reveal that most species have potent INs. We find that lichens contain two IN populations which retain activity under environmentally relevant conditions. The ubiquity and stability of lichen INs suggest that they may have considerable impacts on local atmospheric patterns.
Doaa Aboelyazeed, Chonggang Xu, Forrest M. Hoffman, Jiangtao Liu, Alex W. Jones, Chris Rackauckas, Kathryn Lawson, and Chaopeng Shen
Biogeosciences, 20, 2671–2692, https://doi.org/10.5194/bg-20-2671-2023, https://doi.org/10.5194/bg-20-2671-2023, 2023
Short summary
Short summary
Photosynthesis is critical for life and has been affected by the changing climate. Many parameters come into play while modeling, but traditional calibration approaches face many issues. Our framework trains coupled neural networks to provide parameters to a photosynthesis model. Using big data, we independently found parameter values that were correlated with those in the literature while giving higher correlation and reduced biases in photosynthesis rates.
Norbert Pirk, Kristoffer Aalstad, Yeliz A. Yilmaz, Astrid Vatne, Andrea L. Popp, Peter Horvath, Anders Bryn, Ane Victoria Vollsnes, Sebastian Westermann, Terje Koren Berntsen, Frode Stordal, and Lena Merete Tallaksen
Biogeosciences, 20, 2031–2047, https://doi.org/10.5194/bg-20-2031-2023, https://doi.org/10.5194/bg-20-2031-2023, 2023
Short summary
Short summary
We measured the land–atmosphere exchange of CO2 and water vapor in alpine Norway over 3 years. The extremely snow-rich conditions in 2020 reduced the total annual evapotranspiration to 50 % and reduced the growing-season carbon assimilation to turn the ecosystem from a moderate annual carbon sink to an even stronger source. Our analysis suggests that snow cover anomalies are driving the most consequential short-term responses in this ecosystem’s functioning.
John T. Walker, Xi Chen, Zhiyong Wu, Donna Schwede, Ryan Daly, Aleksandra Djurkovic, A. Christopher Oishi, Eric Edgerton, Jesse Bash, Jennifer Knoepp, Melissa Puchalski, John Iiames, and Chelcy F. Miniat
Biogeosciences, 20, 971–995, https://doi.org/10.5194/bg-20-971-2023, https://doi.org/10.5194/bg-20-971-2023, 2023
Short summary
Short summary
Better estimates of atmospheric nitrogen (N) deposition are needed to accurately assess ecosystem risk and impacts from deposition of nutrients and acidity. Using measurements and modeling, we estimate total N deposition of 6.7 kg N ha−1 yr−1 at a forest site in the southern Appalachian Mountains, a region sensitive to atmospheric deposition. Reductions in deposition of reduced forms of N (ammonia and ammonium) will be needed to meet the lowest estimates of N critical loads for the region.
Yi-Ying Chen and Sebastiaan Luyssaert
Biogeosciences, 20, 349–363, https://doi.org/10.5194/bg-20-349-2023, https://doi.org/10.5194/bg-20-349-2023, 2023
Short summary
Short summary
Tropical cyclones are typically assumed to be associated with ecosystem damage. This study challenges this assumption and suggests that instead of reducing leaf area, cyclones in East Asia may increase leaf area by alleviating water stress.
Deborah F. McGlynn, Graham Frazier, Laura E. R. Barry, Manuel T. Lerdau, Sally E. Pusede, and Gabriel Isaacman-VanWertz
Biogeosciences, 20, 45–55, https://doi.org/10.5194/bg-20-45-2023, https://doi.org/10.5194/bg-20-45-2023, 2023
Short summary
Short summary
Using a custom-made gas chromatography flame ionization detector, 2 years of speciated hourly biogenic volatile organic compound data were collected in a forest in central Virginia. We identify diurnal and seasonal variability in the data, which is shown to impact atmospheric oxidant budgets. A comparison with emission models identified discrepancies with implications for model outcomes. We suggest increased monitoring of speciated biogenic volatile organic compounds to improve modeled results.
Luke D. Schiferl, Jennifer D. Watts, Erik J. L. Larson, Kyle A. Arndt, Sébastien C. Biraud, Eugénie S. Euskirchen, Jordan P. Goodrich, John M. Henderson, Aram Kalhori, Kathryn McKain, Marikate E. Mountain, J. William Munger, Walter C. Oechel, Colm Sweeney, Yonghong Yi, Donatella Zona, and Róisín Commane
Biogeosciences, 19, 5953–5972, https://doi.org/10.5194/bg-19-5953-2022, https://doi.org/10.5194/bg-19-5953-2022, 2022
Short summary
Short summary
As the Arctic rapidly warms, vast stores of thawing permafrost could release carbon dioxide (CO2) into the atmosphere. We combined observations of atmospheric CO2 concentrations from aircraft and a tower with observed CO2 fluxes from tundra ecosystems and found that the Alaskan North Slope in not a consistent source nor sink of CO2. Our study shows the importance of using both site-level and atmospheric measurements to constrain regional net CO2 fluxes and improve biogenic processes in models.
Pascal Wintjen, Frederik Schrader, Martijn Schaap, Burkhard Beudert, Richard Kranenburg, and Christian Brümmer
Biogeosciences, 19, 5287–5311, https://doi.org/10.5194/bg-19-5287-2022, https://doi.org/10.5194/bg-19-5287-2022, 2022
Short summary
Short summary
For the first time, we compared four methods for estimating the annual dry deposition of total reactive nitrogen into a low-polluted forest ecosystem. In our analysis, we used 2.5 years of flux measurements, an in situ modeling approach, a large-scale chemical transport model (CTM), and canopy budget models. Annual nitrogen dry deposition budgets ranged between 4.3 and 6.7 kg N ha−1 a−1, depending on the applied method.
Michael Staudt, Juliane Daussy, Joseph Ingabire, and Nafissa Dehimeche
Biogeosciences, 19, 4945–4963, https://doi.org/10.5194/bg-19-4945-2022, https://doi.org/10.5194/bg-19-4945-2022, 2022
Short summary
Short summary
We studied the short- and long-term effects of CO2 as a function of temperature on monoterpene emissions from holm oak. Similarly to isoprene, emissions decreased non-linearly with increasing CO2, with no differences among compounds and chemotypes. The CO2 response was modulated by actual leaf and growth temperature but not by growth CO2. Estimates of annual monoterpene release under double CO2 suggest that CO2 inhibition does not offset the increase in emissions due to expected warming.
Brendan Byrne, Junjie Liu, Yonghong Yi, Abhishek Chatterjee, Sourish Basu, Rui Cheng, Russell Doughty, Frédéric Chevallier, Kevin W. Bowman, Nicholas C. Parazoo, David Crisp, Xing Li, Jingfeng Xiao, Stephen Sitch, Bertrand Guenet, Feng Deng, Matthew S. Johnson, Sajeev Philip, Patrick C. McGuire, and Charles E. Miller
Biogeosciences, 19, 4779–4799, https://doi.org/10.5194/bg-19-4779-2022, https://doi.org/10.5194/bg-19-4779-2022, 2022
Short summary
Short summary
Plants draw CO2 from the atmosphere during the growing season, while respiration releases CO2 to the atmosphere throughout the year, driving seasonal variations in atmospheric CO2 that can be observed by satellites, such as the Orbiting Carbon Observatory 2 (OCO-2). Using OCO-2 XCO2 data and space-based constraints on plant growth, we show that permafrost-rich northeast Eurasia has a strong seasonal release of CO2 during the autumn, hinting at an unexpectedly large respiration signal from soils.
Valery A. Isidorov and Andrej A. Zaitsev
Biogeosciences, 19, 4715–4746, https://doi.org/10.5194/bg-19-4715-2022, https://doi.org/10.5194/bg-19-4715-2022, 2022
Short summary
Short summary
Biogenic volatile organic compounds (VOCs) play a critical role in earth-system processes: they are
main playersin the formation of tropospheric O3 and secondary aerosols, which have a significant impact on climate, human health and crops. A complex mixture of VOCs, formed as a result of physicochemical and biological processes, is released into the atmosphere from the forest floor. This review presents data on the composition of VOCs and contribution of various processes to their emissions.
David S. McLagan, Harald Biester, Tomas Navrátil, Stephan M. Kraemer, and Lorenz Schwab
Biogeosciences, 19, 4415–4429, https://doi.org/10.5194/bg-19-4415-2022, https://doi.org/10.5194/bg-19-4415-2022, 2022
Short summary
Short summary
Spruce and larch trees are effective archiving species for historical atmospheric mercury using growth rings of bole wood. Mercury stable isotope analysis proved an effective tool to characterise industrial mercury signals and assess mercury uptake pathways (leaf uptake for both wood and bark) and mercury cycling within the trees. These data detail important information for understanding the mercury biogeochemical cycle particularly in forest systems.
Xin Yu, René Orth, Markus Reichstein, Michael Bahn, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Mirco Migliavacca, Martina Mund, Jacob A. Nelson, Benjamin D. Stocker, Sophia Walther, and Ana Bastos
Biogeosciences, 19, 4315–4329, https://doi.org/10.5194/bg-19-4315-2022, https://doi.org/10.5194/bg-19-4315-2022, 2022
Short summary
Short summary
Identifying drought legacy effects is challenging because they are superimposed on variability driven by climate conditions in the recovery period. We develop a residual-based approach to quantify legacies on gross primary productivity (GPP) from eddy covariance data. The GPP reduction due to legacy effects is comparable to the concurrent effects at two sites in Germany, which reveals the importance of legacy effects. Our novel methodology can be used to quantify drought legacies elsewhere.
Anders Lindroth, Norbert Pirk, Ingibjörg S. Jónsdóttir, Christian Stiegler, Leif Klemedtsson, and Mats B. Nilsson
Biogeosciences, 19, 3921–3934, https://doi.org/10.5194/bg-19-3921-2022, https://doi.org/10.5194/bg-19-3921-2022, 2022
Short summary
Short summary
We measured the fluxes of carbon dioxide and methane between a moist moss tundra and the atmosphere on Svalbard in order to better understand how such ecosystems are affecting the climate and vice versa. We found that the system was a small sink of carbon dioxide and a small source of methane. These fluxes are small in comparison with other tundra ecosystems in the high Arctic. Analysis of temperature sensitivity showed that respiration was more sensitive than photosynthesis above about 6 ℃.
Phillip Papastefanou, Christian S. Zang, Zlatan Angelov, Aline Anderson de Castro, Juan Carlos Jimenez, Luiz Felipe Campos De Rezende, Romina C. Ruscica, Boris Sakschewski, Anna A. Sörensson, Kirsten Thonicke, Carolina Vera, Nicolas Viovy, Celso Von Randow, and Anja Rammig
Biogeosciences, 19, 3843–3861, https://doi.org/10.5194/bg-19-3843-2022, https://doi.org/10.5194/bg-19-3843-2022, 2022
Short summary
Short summary
The Amazon rainforest has been hit by multiple severe drought events. In this study, we assess the severity and spatial extent of the extreme drought years 2005, 2010 and 2015/16 in the Amazon. Using nine different precipitation datasets and three drought indicators we find large differences in drought stress across the Amazon region. We conclude that future studies should use multiple rainfall datasets and drought indicators when estimating the impact of drought stress in the Amazon region.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Biogeosciences, 19, 3739–3756, https://doi.org/10.5194/bg-19-3739-2022, https://doi.org/10.5194/bg-19-3739-2022, 2022
Short summary
Short summary
A number of studies have been conducted by using machine learning approaches to simulate carbon fluxes. We performed a meta-analysis of these net ecosystem exchange (NEE) simulations. Random forests and support vector machines performed better than other algorithms. Models with larger timescales had a lower accuracy. For different plant functional types (PFTs), there were significant differences in the predictors used and their effects on model accuracy.
Siqi Li, Wei Zhang, Xunhua Zheng, Yong Li, Shenghui Han, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, and Chong Zhang
Biogeosciences, 19, 3001–3019, https://doi.org/10.5194/bg-19-3001-2022, https://doi.org/10.5194/bg-19-3001-2022, 2022
Short summary
Short summary
The CNMM–DNDC model was modified to simulate ammonia volatilization (AV) from croplands. AV from cultivated uplands followed the first-order kinetics, which was jointly regulated by the factors of soil properties and meteorological conditions. AV simulation from rice paddy fields was improved by incorporating Jayaweera–Mikkelsen mechanisms. The modified model performed well in simulating the observed cumulative AV measured from 63 fertilization events in China.
Matthias Volk, Matthias Suter, Anne-Lena Wahl, and Seraina Bassin
Biogeosciences, 19, 2921–2937, https://doi.org/10.5194/bg-19-2921-2022, https://doi.org/10.5194/bg-19-2921-2022, 2022
Short summary
Short summary
Because soils are an important sink for greenhouse gasses, we subjected sub-alpine grassland to a six-level climate change treatment.
Two independent methods showed that at warming > 1.5 °C the grassland ecosystem lost ca. 14 % or ca. 1 kg C m−2 in 5 years.
This shrinking of the terrestrial C sink implies a substantial positive feedback to the atmospheric greenhouse effect.
It is likely that this dramatic C loss is a transient effect before a new, climate-adjusted steady state is reached.
Johan A. Eckdahl, Jeppe A. Kristensen, and Daniel B. Metcalfe
Biogeosciences, 19, 2487–2506, https://doi.org/10.5194/bg-19-2487-2022, https://doi.org/10.5194/bg-19-2487-2022, 2022
Short summary
Short summary
This study found climate to be a driving force for increasing per area emissions of greenhouse gases and removal of important nutrients from high-latitude forests due to wildfire. It used detailed direct measurements over a large area to uncover patterns and mechanisms of restructuring of forest carbon and nitrogen pools that are extrapolatable to larger regions. It also takes a step forward in filling gaps in global knowledge of northern forest response to climate-change-strengthened wildfires.
Sparkle L. Malone, Youmi Oh, Kyle A. Arndt, George Burba, Roisin Commane, Alexandra R. Contosta, Jordan P. Goodrich, Henry W. Loescher, Gregory Starr, and Ruth K. Varner
Biogeosciences, 19, 2507–2522, https://doi.org/10.5194/bg-19-2507-2022, https://doi.org/10.5194/bg-19-2507-2022, 2022
Short summary
Short summary
To understand the CH4 flux potential of natural ecosystems and agricultural lands in the United States of America, a multi-scale CH4 observation network focused on CH4 flux rates, processes, and scaling methods is required. This can be achieved with a network of ground-based observations that are distributed based on climatic regions and land cover.
Bruna R. F. Oliveira, Jan J. Keizer, and Thomas Foken
Biogeosciences, 19, 2235–2243, https://doi.org/10.5194/bg-19-2235-2022, https://doi.org/10.5194/bg-19-2235-2022, 2022
Short summary
Short summary
This study analyzes the impacts of this windthrow on the aerodynamic characteristics of zero-plane displacement and roughness length and, ultimately, their implications for the turbulent fluxes. The turbulent fluxes were only affected to a minor degree by the windthrow, but the footprint area of the flux tower changed markedly so that the target area of the measurements had to be redetermined.
Minttu Havu, Liisa Kulmala, Pasi Kolari, Timo Vesala, Anu Riikonen, and Leena Järvi
Biogeosciences, 19, 2121–2143, https://doi.org/10.5194/bg-19-2121-2022, https://doi.org/10.5194/bg-19-2121-2022, 2022
Short summary
Short summary
The carbon sequestration potential of two street tree species and the soil beneath them was quantified with the urban land surface model SUEWS and the soil carbon model Yasso. The street tree plantings turned into a modest sink of carbon from the atmosphere after 14 years. Overall, the results indicate the importance of soil in urban carbon sequestration estimations, as soil respiration exceeded the carbon uptake in the early phase, due to the high initial carbon loss from the soil.
Jarmo Mäkelä, Laila Melkas, Ivan Mammarella, Tuomo Nieminen, Suyog Chandramouli, Rafael Savvides, and Kai Puolamäki
Biogeosciences, 19, 2095–2099, https://doi.org/10.5194/bg-19-2095-2022, https://doi.org/10.5194/bg-19-2095-2022, 2022
Short summary
Short summary
Causal structure discovery algorithms have been making headway into Earth system sciences, and they can be used to increase our understanding on biosphere–atmosphere interactions. In this paper we present a procedure on how to utilize prior knowledge of the domain experts together with these algorithms in order to find more robust causal structure models. We also demonstrate how to avoid pitfalls such as over-fitting and concept drift during this process.
Makoto Saito, Tomohiro Shiraishi, Ryuichi Hirata, Yosuke Niwa, Kazuyuki Saito, Martin Steinbacher, Doug Worthy, and Tsuneo Matsunaga
Biogeosciences, 19, 2059–2078, https://doi.org/10.5194/bg-19-2059-2022, https://doi.org/10.5194/bg-19-2059-2022, 2022
Short summary
Short summary
This study tested combinations of two sources of AGB data and two sources of LCC data and used the same burned area satellite data to estimate BB CO emissions. Our analysis showed large discrepancies in annual mean CO emissions and explicit differences in the simulated CO concentrations among the BB emissions estimates. This study has confirmed that BB emissions estimates are sensitive to the land surface information on which they are based.
Johannes Gensheimer, Alexander J. Turner, Philipp Köhler, Christian Frankenberg, and Jia Chen
Biogeosciences, 19, 1777–1793, https://doi.org/10.5194/bg-19-1777-2022, https://doi.org/10.5194/bg-19-1777-2022, 2022
Short summary
Short summary
We develop a convolutional neural network, named SIFnet, that increases the spatial resolution of SIF from TROPOMI by a factor of 10 to a spatial resolution of 0.005°. SIFnet utilizes coarse SIF observations, together with a broad range of high-resolution auxiliary data. The insights gained from interpretable machine learning techniques allow us to make quantitative claims about the relationships between SIF and other common parameters related to photosynthesis.
Shihan Sun, Amos P. K. Tai, David H. Y. Yung, Anthony Y. H. Wong, Jason A. Ducker, and Christopher D. Holmes
Biogeosciences, 19, 1753–1776, https://doi.org/10.5194/bg-19-1753-2022, https://doi.org/10.5194/bg-19-1753-2022, 2022
Short summary
Short summary
We developed and used a terrestrial biosphere model to compare and evaluate widely used empirical dry deposition schemes with different stomatal approaches and found that using photosynthesis-based stomatal approaches can reduce biases in modeled dry deposition velocities in current chemical transport models. Our study shows systematic errors in current dry deposition schemes and the importance of representing plant ecophysiological processes in models under a changing climate.
Ka Ming Fung, Maria Val Martin, and Amos P. K. Tai
Biogeosciences, 19, 1635–1655, https://doi.org/10.5194/bg-19-1635-2022, https://doi.org/10.5194/bg-19-1635-2022, 2022
Short summary
Short summary
Fertilizer-induced ammonia detrimentally affects the environment by not only directly damaging ecosystems but also indirectly altering climate and soil fertility. To quantify these secondary impacts, we enabled CESM to simulate ammonia emission, chemical evolution, and deposition as a continuous cycle. If synthetic fertilizer use is to soar by 30 % from today's level, we showed that the counteracting impacts will increase the global ammonia emission by 3.3 Tg N per year.
Lena Wohlgemuth, Pasi Rautio, Bernd Ahrends, Alexander Russ, Lars Vesterdal, Peter Waldner, Volkmar Timmermann, Nadine Eickenscheidt, Alfred Fürst, Martin Greve, Peter Roskams, Anne Thimonier, Manuel Nicolas, Anna Kowalska, Morten Ingerslev, Päivi Merilä, Sue Benham, Carmen Iacoban, Günter Hoch, Christine Alewell, and Martin Jiskra
Biogeosciences, 19, 1335–1353, https://doi.org/10.5194/bg-19-1335-2022, https://doi.org/10.5194/bg-19-1335-2022, 2022
Short summary
Short summary
Gaseous mercury is present in the atmosphere all over the globe. During the growing season, plants take up mercury from the air in a similar way as CO2. We investigated which factors impact this vegetational mercury uptake by analyzing a large dataset of leaf mercury uptake rates of trees in Europe. As a result, we conclude that mercury uptake is foremost controlled by tree-intrinsic traits like physiological activity but also by climatic factors like dry conditions in the air and in soils.
Junqi Wei, Xiaoyan Li, Lei Liu, Torben Røjle Christensen, Zhiyun Jiang, Yujun Ma, Xiuchen Wu, Hongyun Yao, and Efrén López-Blanco
Biogeosciences, 19, 861–875, https://doi.org/10.5194/bg-19-861-2022, https://doi.org/10.5194/bg-19-861-2022, 2022
Short summary
Short summary
Although water availability has been linked to the response of ecosystem carbon (C) sink–source to climate warming, the mechanisms by which C uptake responds to soil moisture remain unclear. We explored how soil water and other environmental drivers modulate net C uptake in an alpine swamp meadow. Results reveal that nearly saturated soil conditions during warm seasons can help to maintain lower ecosystem respiration and therefore enhance the C sequestration capacity in this alpine swamp meadow.
Martijn M. T. A. Pallandt, Jitendra Kumar, Marguerite Mauritz, Edward A. G. Schuur, Anna-Maria Virkkala, Gerardo Celis, Forrest M. Hoffman, and Mathias Göckede
Biogeosciences, 19, 559–583, https://doi.org/10.5194/bg-19-559-2022, https://doi.org/10.5194/bg-19-559-2022, 2022
Short summary
Short summary
Thawing of Arctic permafrost soils could trigger the release of vast amounts of carbon to the atmosphere, thus enhancing climate change. Our study investigated how well the current network of eddy covariance sites to monitor greenhouse gas exchange at local scales captures pan-Arctic flux patterns. We identified large coverage gaps, e.g., in Siberia, but also demonstrated that a targeted addition of relatively few sites can significantly improve network performance.
Pascal Wintjen, Frederik Schrader, Martijn Schaap, Burkhard Beudert, and Christian Brümmer
Biogeosciences, 19, 389–413, https://doi.org/10.5194/bg-19-389-2022, https://doi.org/10.5194/bg-19-389-2022, 2022
Short summary
Short summary
Fluxes of total reactive nitrogen (∑Nr) over a low polluted forest were analyzed with regard to their temporal dynamics. Mostly deposition was observed with median fluxes ranging from −15 to −5 ng N m−2 s−1, corresponding to a range of deposition velocities from 0.2 to 0.5 cm s−1. While seasonally changing contributions of NH3 and NOx to the ∑Nr signal were found, we estimate an annual total N deposition (dry+wet) of 12.2 and 10.9 kg N ha−1 a−1 in the 2 years of observation.
Thomas M. Blattmann
Biogeosciences, 19, 359–373, https://doi.org/10.5194/bg-19-359-2022, https://doi.org/10.5194/bg-19-359-2022, 2022
Short summary
Short summary
This work enunciates the possibility of kerogen oxidation contributing to atmospheric CO2 increase in the wake of glacial episodes. This hypothesis is substantiated by several lines of independent evidence synthesized in this contribution. The author hypothesizes that the deglaciation of kerogen-rich lithologies in western Canada contributed to the characteristic deglacial increase in atmospheric CO2.
Juliana Gil-Loaiza, Joseph R. Roscioli, Joanne H. Shorter, Till H. M. Volkmann, Wei-Ren Ng, Jordan E. Krechmer, and Laura K. Meredith
Biogeosciences, 19, 165–185, https://doi.org/10.5194/bg-19-165-2022, https://doi.org/10.5194/bg-19-165-2022, 2022
Short summary
Short summary
We evaluated a new diffusive soil probe integrated with high-resolution gas analyzers to measure soil gases in real time at a centimeter scale. Using columns with simple silica and soil, we captured changes in carbon dioxide (CO2), volatile organic compounds (VOCs), and nitrous oxide (N2O) with its isotopes to distinguish potential nutrient sources and microbial metabolism. This approach will advance the use of soil gases as important signals to understand and monitor soil fertility and health.
Yujie Wang and Christian Frankenberg
Biogeosciences, 19, 29–45, https://doi.org/10.5194/bg-19-29-2022, https://doi.org/10.5194/bg-19-29-2022, 2022
Short summary
Short summary
Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to mitigate climate change in the near future. Vegetation canopy model complexity, however, impacts the model-predicted carbon and water fluxes as well as canopy fluorescence, even if the same suite of model inputs is used. Given the biases caused by canopy model complexity, we recommend not misusing parameters inverted using different models or assumptions.
Håkan Pleijel, Jenny Klingberg, Michelle Nerentorp, Malin C. Broberg, Brigitte Nyirambangutse, John Munthe, and Göran Wallin
Biogeosciences, 18, 6313–6328, https://doi.org/10.5194/bg-18-6313-2021, https://doi.org/10.5194/bg-18-6313-2021, 2021
Short summary
Short summary
Mercury is a problematic metal in the environment. It is crucial to understand the Hg circulation in ecosystems. We explored the mercury concentration in foliage from a diverse set of plants, locations and sampling periods to study the accumulation of Hg in leaves–needles over time. Mercury was always higher in older tissue: in broadleaved trees, conifers and wheat. Specific leaf area, the leaf area per unit leaf mass, turned out to be critical for Hg accumulation in leaves–needles.
Julia Burkart, Jürgen Gratzl, Teresa M. Seifried, Paul Bieber, and Hinrich Grothe
Biogeosciences, 18, 5751–5765, https://doi.org/10.5194/bg-18-5751-2021, https://doi.org/10.5194/bg-18-5751-2021, 2021
Short summary
Short summary
Extracts of birch pollen grains are known to be ice nucleation active and thus impact cloud formation and climate. In this study we develop an extraction method to separate subpollen particles from ice nucleating macromolecules. Our results thereby illustrate that ice nucleating macromolecules can be washed off the subpollen particles and that the ice activity is linked to the presence of proteins.
Teresa Vogl, Amy Hrdina, and Christoph K. Thomas
Biogeosciences, 18, 5097–5115, https://doi.org/10.5194/bg-18-5097-2021, https://doi.org/10.5194/bg-18-5097-2021, 2021
Short summary
Short summary
The relaxed eddy accumulation technique is a method used for measuring fluxes of chemical species in the atmosphere. It relies on a proportionality factor, β, which can be determined using different methods. Also, different techniques for sampling can be used by only drawing air into the measurement system when vertical wind velocity exceeds a certain threshold. We compare different ways to obtain β and different threshold techniques to direct flux measurements for three different sites.
Maria Prass, Meinrat O. Andreae, Alessandro C. de Araùjo, Paulo Artaxo, Florian Ditas, Wolfgang Elbert, Jan-David Förster, Marco Aurélio Franco, Isabella Hrabe de Angelis, Jürgen Kesselmeier, Thomas Klimach, Leslie Ann Kremper, Eckhard Thines, David Walter, Jens Weber, Bettina Weber, Bernhard M. Fuchs, Ulrich Pöschl, and Christopher Pöhlker
Biogeosciences, 18, 4873–4887, https://doi.org/10.5194/bg-18-4873-2021, https://doi.org/10.5194/bg-18-4873-2021, 2021
Short summary
Short summary
Bioaerosols in the atmosphere over the Amazon rain forest were analyzed by molecular biological staining and microscopy. Eukaryotic, bacterial, and archaeal aerosols were quantified in time series and altitude profiles which exhibited clear differences in number concentrations and vertical distributions. Our results provide insights into the sources and dispersion of different Amazonian bioaerosol types as a basis for a better understanding of biosphere–atmosphere interactions.
Cited articles
Badgley, G., Field, C. B., and Berry, J. A.: Canopy near-infrared
reflectance and terrestrial photosynthesis, Sci. Adv., 3, e1602244,
https://doi.org/10.1126/sciadv.1602244, 2017.
Baldocchi, D. D., Ryu, Y., Dechant, B., Eichelmann, E., Hemes, K., Ma, S.,
Sanchez, C. R., Shortt, R., Szutu, D., Valach, A., Verfaillie, J., Badgley,
G., Zeng, Y., and Berry, J. A.: Outgoing Near-Infrared Radiation From
Vegetation Scales With Canopy Photosynthesis Across a Spectrum of Function,
Structure, Physiological Capacity, and Weather, J. Geophys.
Res.-Biogeo., 125, e2019JG005534, https://doi.org/10.1029/2019JG005534, 2020.
Bodesheim, P., Jung, M., Gans, F., Mahecha, M. D., and Reichstein, M.: Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product, Earth Syst. Sci. Data, 10, 1327–1365, https://doi.org/10.5194/essd-10-1327-2018, 2018.
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Buchhorn, M., Smets, B., Bertels, L., Roo, B. D., Lesiv, M., Tsendbazar,
N.-E., Li, L., and Tarko, A.: Copernicus Global Land Service: Land Cover
100 m: version 3 Globe 2015–2019: Product User Manual, Zenodo [data set],
https://doi.org/10.5281/ZENODO.3938963, 2020.
Cho, S., Kang, M., Ichii, K., Kim, J., Lim, J.-H., Chun, J.-H., Park, C.-W.,
Kim, H. S., Choi, S.-W., Lee, S.-H., Indrawati, Y. M., and Kim, J.:
Evaluation of forest carbon uptake in South Korea using the national flux
tower network, remote sensing, and data-driven technology, Agr.
Forest Meteorol., 311, 108653,
https://doi.org/10.1016/j.agrformet.2021.108653, 2021.
Chou, S., Chen, J., Yu, H., Chen, B., Zhang, X., Croft, H., Khalid, S., Li,
M., and Shi, Q.: Canopy-Level Photochemical Reflectance Index from
Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as
Early Indicators of Water Stress in Maize, Remote Sens., 9, 794,
https://doi.org/10.3390/rs9080794, 2017.
Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn,
M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi,
D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G.,
Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K.,
Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A.,
Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa,
H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T.,
Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick,
K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E.,
Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E.
S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C.,
Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A.,
Ueyama, M., Vargas, R., Wood, J. D., and Zona, D.: Representativeness of
Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites,
Agr. Forest Meteorol., 301–302, 108350,
https://doi.org/10.1016/j.agrformet.2021.108350, 2021.
Damm, A., Elbers, J., Erler, A., Gioli, B., Hamdi, K., Hutjes, R.,
Kosvancova, M., Meroni, M., Miglietta, F., Moersch, A., Moreno, J.,
Schickling, A., Sonnenschein, R., Udelhoven, T., Van Der LINDEN, S.,
Hostert, P., and Rascher, U.: Remote sensing of sun-induced fluorescence to
improve modeling of diurnal courses of gross primary production (GPP): RS OF
SUN-INDUCED FLUORESCENCE TO IMPROVE MODELING OF GPP, Glob. Change Biol.,
16, 171–186, https://doi.org/10.1111/j.1365-2486.2009.01908.x, 2010.
Damm, A., Guanter, L., Paul-Limoges, E., van der Tol, C., Hueni, A.,
Buchmann, N., Eugster, W., Ammann, C., and Schaepman, M. E.: Far-red
sun-induced chlorophyll fluorescence shows ecosystem-specific relationships
to gross primary production: An assessment based on observational and
modeling approaches, Remote Sens. Environ., 166, 91–105,
https://doi.org/10.1016/j.rse.2015.06.004, 2015.
Daumard, F., Goulas, Y., Champagne, S., Fournier, A., Ounis, A., Olioso, A.,
and Moya, I.: Continuous Monitoring of Canopy Level Sun-Induced Chlorophyll
Fluorescence During the Growth of a Sorghum Field, IEEE T.
Geosci. Remote Sens., 50, 4292–4300,
https://doi.org/10.1109/TGRS.2012.2193131, 2012.
Dechant, B., Ryu, Y., Badgley, G., Zeng, Y., Berry, J. A., Zhang, Y.,
Goulas, Y., Li, Z., Zhang, Q., Kang, M., Li, J., and Moya, I.: Canopy
structure explains the relationship between photosynthesis and sun-induced
chlorophyll fluorescence in crops, Remote Sens. Environ., 241,
111733, https://doi.org/10.1016/j.rse.2020.111733, 2020.
Dechant, B., Ryu, Y., Badgley, G., Köhler, P., Rascher, U., Migliavacca,
M., Zhang, Y., Tagliabue, G., Guan, K., Rossini, M., Goulas, Y., Zeng, Y.,
Frankenberg, C., and Berry, J. A.: NIRVP: A robust structural proxy for
sun-induced chlorophyll fluorescence and photosynthesis across scales,
Remote Sens. Environ., 268, 112763,
https://doi.org/10.1016/j.rse.2021.112763, 2022.
Doughty, R., Xiao, X., Köhler, P., Frankenberg, C., Qin, Y., Wu, X., Ma,
S., and Moore, B.: Global-scale consistency of spaceborne vegetation
indices, chlorophyll fluorescence, and photosynthesis, J. Geophys. Res.-Biogeo., 126, e2020JG006136, https://doi.org/10.1029/2020JG006136, 2021.
Drolet, G. G., Middleton, E. M., Huemmrich, K. F., Hall, F. G., Amiro, B.
D., Barr, A. G., Black, T. A., McCaughey, J. H., and Margolis, H. A.:
Regional mapping of gross light-use efficiency using MODIS spectral indices,
Remote Sens. Environ., 112, 3064–3078, 2008.
Drought 2018 Team and ICOS Ecosystem Thematic Centre: Drought-2018 ecosystem eddy covariance flux product for 52 stations in FLUXNET-Archive format, ICOS [data set], https://doi.org/10.18160/YVR0-4898, 2020.
Drusch, M., Moreno, J., Del Bello, U., Franco, R., Goulas, Y., Huth, A.,
Kraft, S., Middleton, E. M., Miglietta, F., Mohammed, G., Nedbal, L.,
Rascher, U., Schuttemeyer, D., and Verhoef, W.: The FLuorescence EXplorer
Mission Concept—ESA's Earth Explorer 8, IEEE T. Geosci. Remote
Sens., 55, 1273–1284, https://doi.org/10.1109/TGRS.2016.2621820, 2017.
Falge, E., Baldocchi, D., Tenhunen, J., Aubinet, M., Bakwin, P., Berbigier,
P., Bernhofer, C., Burba, G., Clement, R., Davis, K. J., Elbers, J. A.,
Goldstein, A. H., Grelle, A., Granier, A., Guðmundsson, J., Hollinger,
D., Kowalski, A. S., Katul, G., Law, B. E., Malhi, Y., Meyers, T., Monson,
R. K., Munger, J. W., Oechel, W., Paw U, K. T., Pilegaard, K., Rannik,
Ü., Rebmann, C., Suyker, A., Valentini, R., Wilson, K., and Wofsy, S.:
Seasonality of ecosystem respiration and gross primary production as derived
from FLUXNET measurements, Agr. Forest Meteorol., 113, 53–74,
https://doi.org/10.1016/S0168-1923(02)00102-8, 2002.
Fournier, A., Daumard, F., Champagne, S., Ounis, A., Goulas, Y., and Moya,
I.: Effect of canopy structure on sun-induced chlorophyll fluorescence,
ISPRS J. Photogram., 68, 112–120,
https://doi.org/10.1016/j.isprsjprs.2012.01.003, 2012.
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: CHLOROPHYLL FLUORESCENCE
FROM SPACE, Geophys. Res. Lett., 38, L17706, https://doi.org/10.1029/2011GL048738, 2011.
Gamon, J. A.: Reviews and Syntheses: optical sampling of the flux tower footprint, Biogeosciences, 12, 4509–4523, https://doi.org/10.5194/bg-12-4509-2015, 2015.
Gamon, J. A., Peñuelas, J., and Field, C. B.: A narrow-waveband spectral
index that tracks diurnal changes in photosynthetic efficiency, Remote
Sens. Environ., 41, 35–44,
https://doi.org/10.1016/0034-4257(92)90059-S, 1992.
Gamon, J. A., Somers, B., Malenovský, Z., Middleton, E. M., Rascher, U.,
and Schaepman, M. E.: Assessing Vegetation Function with Imaging
Spectroscopy, Surv. Geophys., 40, 489–513,
https://doi.org/10.1007/s10712-019-09511-5, 2019.
Gitelson, A. A., Gamon, J. A., and Solovchenko, A.: Multiple drivers of
seasonal change in PRI: Implications for photosynthesis 2. Stand level,
Remote Sens. Environ., 190, 198–206,
https://doi.org/10.1016/j.rse.2016.12.015, 2017.
Goulas, Y., Fournier, A., Daumard, F., Champagne, S., Ounis, A., Marloie,
O., and Moya, I.: Gross Primary Production of a Wheat Canopy Relates
Stronger to Far Red Than to Red Solar-Induced Chlorophyll Fluorescence,
Remote Sens., 9, 97, https://doi.org/10.3390/rs9010097, 2017.
Gu, L., Wood, J. D., Chang, C. Y.-Y., Sun, Y., and Riggs, J. S.: Advancing
Terrestrial Ecosystem Science With a Novel Automated Measurement System for
Sun-Induced Chlorophyll Fluorescence for Integration With Eddy Covariance
Flux Networks, J. Geophys. Res.-Biogeo., 124,
127–146, https://doi.org/10.1029/2018JG004742, 2019a.
Gu, L., Han, J., Wood, J. D., Chang, C. Y., and Sun, Y.: Sun-induced Chl
fluorescence and its importance for biophysical modeling of photosynthesis
based on light reactions, New Phytol., 223, 1179–1191,
https://doi.org/10.1111/nph.15796, 2019b.
Guanter, L., Frankenberg, C., Dudhia, A., Lewis, P. E., Gómez-Dans, J.,
Kuze, A., Suto, H., and Grainger, R. G.: Retrieval and global assessment of
terrestrial chlorophyll fluorescence from GOSAT space measurements, Remote
Sens. Environ., 121, 236–251,
https://doi.org/10.1016/j.rse.2012.02.006, 2012.
Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J. A.,
Frankenberg, C., Huete, A. R., Zarco-Tejada, P., Lee, J.-E., Moran, M. S.,
Ponce-Campos, G., Beer, C., Camps-Valls, G., Buchmann, N., Gianelle, D.,
Klumpp, K., Cescatti, A., Baker, J. M., and Griffis, T. J.: Global and
time-resolved monitoring of crop photosynthesis with chlorophyll
fluorescence, P. Natl. Acad. Sci. USA, 111,
E1327–E1333, https://doi.org/10.1073/pnas.1320008111, 2014.
Guanter, L., Bacour, C., Schneider, A., Aben, I., van Kempen, T. A., Maignan, F., Retscher, C., Köhler, P., Frankenberg, C., Joiner, J., and Zhang, Y.: The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission, Earth Syst. Sci. Data, 13, 5423–5440, https://doi.org/10.5194/essd-13-5423-2021, 2021.
Hao, D., Asrar, G. R., Zeng, Y., Yang, X., Li, X., Xiao, J., Guan, K., Wen,
J., Xiao, Q., Berry, J. A., and Chen, M.: Potential of hotspot solar-induced
chlorophyll fluorescence for better tracking terrestrial photosynthesis,
Glob. Change Biol., 27, 2144–2158, https://doi.org/10.1111/gcb.15554, 2021.
Hayek, M. N., Longo, M., Wu, J., Smith, M. N., Restrepo-Coupe, N., Tapajós, R., da Silva, R., Fitzjarrald, D. R., Camargo, P. B., Hutyra, L. R., Alves, L. F., Daube, B., Munger, J. W., Wiedemann, K. T., Saleska, S. R., and Wofsy, S. C.: Carbon exchange in an Amazon forest: from hours to years, Biogeosciences, 15, 4833–4848, https://doi.org/10.5194/bg-15-4833-2018, 2018.
He, L., Magney, T., Dutta, D., Yin, Y., Köhler, P., Grossmann, K.,
Stutz, J., Dold, C., Hatfield, J., Guan, K., Peng, B., and Frankenberg, C.:
From the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to
Estimate Crop Productivity, Geophys. Res. Lett., 47, e2020GL087474,
https://doi.org/10.1029/2020GL087474, 2020.
Hilker, T., Coops, N. C., Nesic, Z., Wulder, M. A., and Black, A. T.:
Instrumentation and approach for unattended year round tower based
measurements of spectral reflectance, Computers and Electronics in
Agriculture, 56, 72–84, https://doi.org/10.1016/j.compag.2007.01.003, 2007.
Hilker, T., Lyapustin, A., Hall, F. G., Wang, Y., Coops, N. C., Drolet, G.,
and Black, T. A.: An assessment of photosynthetic light use efficiency from
space: Modeling the atmospheric and directional impacts on PRI reflectance,
Remote Sens. Environ., 13, 24632475, https://doi.org/10.1016/j.rse.2009.07.012, 2009.
Hmimina, G., Merlier, E., Dufrêne, E., and Soudani, K.: Deconvolution of
pigment and physiologically related photochemical reflectance index
variability at the canopy scale over an entire growing season: Towards an
understanding of canopy PRI variability, Plant Cell Environ, 38, 1578–1590,
https://doi.org/10.1111/pce.12509, 2015.
Hornero, A., North, P. R. J., Zarco-Tejada, P. J., Rascher, U., Martín,
M. P., Migliavacca, M., and Hernandez-Clemente, R.: Assessing the
contribution of understory sun-induced chlorophyll fluorescence through 3-D
radiative transfer modelling and field data, Remote Sens. Environ.,
253, 112195, https://doi.org/10.1016/j.rse.2020.112195, 2021.
ICOS RI: Ecosystem final quality (L2) product in ETC-Archive format – release 2022-1, ICOS [data set], https://doi.org/10.18160/PAD9-HQHU, 2022.
Jiang, C. and Ryu, Y.: Multi-scale evaluation of global gross primary
productivity and evapotranspiration products derived from Breathing Earth
System Simulator (BESS), Remote Sens. Environ., 186, 528–547,
https://doi.org/10.1016/j.rse.2016.08.030, 2016.
Jonard, F., De Cannière, S., Brüggemann, N., Gentine, P., Short
Gianotti, D. J., Lobet, G., Miralles, D. G., Montzka, C., Pagán, B. R.,
Rascher, U., and Vereecken, H.: Value of sun-induced chlorophyll
fluorescence for quantifying hydrological states and fluxes: Current status
and challenges, Agr. Forest Meteorol., 291, 108088,
https://doi.org/10.1016/j.agrformet.2020.108088, 2020.
Jung, M., Koirala, S., Weber, U., Ichii, K., Gans, F., Camps-Valls, G.,
Papale, D., Schwalm, C., Tramontana, G., and Reichstein, M.: The FLUXCOM
ensemble of global land-atmosphere energy fluxes, Sci. Data, 6, 74,
https://doi.org/10.1038/s41597-019-0076-8, 2019.
Kim, J., Ryu, Y., Dechant, B., Lee, H., Kim, H. S., Kornfeld, A., and Berry,
J. A.: Solar-induced chlorophyll fluorescence is non-linearly related to
canopy photosynthesis in a temperate evergreen needleleaf forest during the
fall transition, Remote Sens. Environ., 258, 112362,
https://doi.org/10.1016/j.rse.2021.112362, 2021.
Kimm, H., Guan, K., Jiang, C., Miao, G., Wu, G., Suyker, A. E., Ainsworth,
E. A., Bernacchi, C. J., Montes, C. M., Berry, J. A., Yang, X., Frankenberg,
C., Chen, M., and Köhler, P.: A physiological signal derived from
sun-induced chlorophyll fluorescence quantifies crop physiological response
to environmental stresses in the U.S. Corn Belt, Environ. Res. Lett., 16,
124051, https://doi.org/10.1088/1748-9326/ac3b16, 2021.
Koehler, P. and Frankenberg, C.: Ungridded TROPOMI SIF (at 740 nm) (1.0), CaltechDATA [data set], https://doi.org/10.22002/D1.1347, 2020.
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, 10456–10463, https://doi.org/10.1029/2018GL079031,
2018.
Köhler, P., Fischer, W. W., Rossman, G. R., Grotzinger, J. P., Doughty,
R., Wang, Y., Yin, Y., and Frankenberg, C.: Mineral Luminescence Observed
From Space, Geophys. Res. Lett., 48, e2021GL095227, https://doi.org/10.1029/2021GL095227,
2021.
Kong, J., Ryu, Y., Liu, J., Dechant, B., Rey-Sanchez, C., Shortt, R., Szutu,
D., Verfaillie, J., Houborg, R., and Baldocchi, D. D.: Matching high
resolution satellite data and flux tower footprints improves their agreement
in photosynthesis estimates, Agr. Forest Meteorol., 316,
108878, https://doi.org/10.1016/j.agrformet.2022.108878, 2022.
Li, J., Zhang, Y., Gu, L., Li, Z., Li, J., Zhang, Q., Zhang, Z., and Song,
L.: Seasonal variations in the relationship between sun-induced chlorophyll
fluorescence and photosynthetic capacity from the leaf to canopy level in a
rice crop, J. Exp. Bot., 71, 7179–7197,
https://doi.org/10.1093/jxb/eraa408, 2020.
Li, X. and Xiao, J.: TROPOMI observations allow for robust exploration of
the relationship between solar-induced chlorophyll fluorescence and
terrestrial gross primary production, Remote Sens. Environ., 268,
112748, https://doi.org/10.1016/j.rse.2021.112748, 2022.
Li, X., Xiao, J., and He, B.: Chlorophyll fluorescence observed by OCO-2 is
strongly related to gross primary productivity estimated from flux towers in
temperate forests, Remote Sens. Environ., 204, 659–671,
https://doi.org/10.1016/j.rse.2017.09.034, 2018a.
Li, X., Xiao, J., He, B., Altaf Arain, M., Beringer, J., Desai, A. R.,
Emmel, C., Hollinger, D. Y., Krasnova, A., Mammarella, I., Noe, S. M.,
Ortiz, P. S., Rey-Sanchez, A. C., Rocha, A. V., and Varlagin, A.:
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, 2018b.
Li, X., Xiao, J., Fisher, J. B., and Baldocchi, D. D.: ECOSTRESS estimates
gross primary production with fine spatial resolution for different times of
day from the International Space Station, Remote Sens. Environ.,
258, 112360, https://doi.org/10.1016/j.rse.2021.112360, 2021.
Lin, S., Li, J., Liu, Q., Li, L., Zhao, J., and Yu, W.: Evaluating the
Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from
Sentinel-2 to Estimate Gross Primary Productivity, Remote Sens., 11, 1303,
https://doi.org/10.3390/rs11111303, 2019.
Lu, X., Liu, Z., Zhao, F., and Tang, J.: Comparison of total emitted
solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in
estimating photosynthesis, Remote Sens. Environ., 251, 112083,
https://doi.org/10.1016/j.rse.2020.112083, 2020.
Madani, N., Parazoo, N. C., Kimball, J. S., Ballantyne, A. P., Reichle, R.
H., Maneta, M., Saatchi, S., Palmer, P. I., Liu, Z., and Tagesson, T.:
Recent Amplified Global Gross Primary Productivity Due to Temperature
Increase Is Offset by Reduced Productivity Due to Water Constraints, AGU
Advances, 1, e2020AV000180, https://doi.org/10.1029/2020AV000180, 2020.
Magney, T. S., Bowling, D. R., Logan, B. A., Grossmann, K., Stutz, J.,
Blanken, P. D., Burns, S. P., Cheng, R., Garcia, M. A., K?hler, P., Lopez,
S., Parazoo, N. C., Raczka, B., Schimel, D., and Frankenberg, C.:
Mechanistic evidence for tracking the seasonality of photosynthesis with
solar-induced fluorescence, P. Natl. Acad. Sci. USA,
201900278, https://doi.org/10.1073/pnas.1900278116, 2019.
Maguire, A. J., Eitel, J. U. H., Griffin, K. L., Magney, T. S., Long, R. A.,
Vierling, L. A., Schmiege, S. C., Jennewein, J. S., Weygint, W. A., Boelman,
N. T., and Bruner, S. G.: On the Functional Relationship Between
Fluorescence and Photochemical Yields in Complex Evergreen Needleleaf
Canopies, Geophys. Res. Lett., 47, e2020GL087858,
https://doi.org/10.1029/2020GL087858, 2020.
Marrs, J. K., Reblin, J. S., Logan, B. A., Allen, D. W., Reinmann, A. B.,
Bombard, D. M., Tabachnik, D., and Hutyra, L. R.: Solar-Induced Fluorescence
Does Not Track Photosynthetic Carbon Assimilation Following Induced Stomatal
Closure, Geophys. Res. Lett., 47, e2020GL087956, https://doi.org/10.1029/2020GL087956,
2020.
Mengistu, A. G., Mengistu Tsidu, G., Koren, G., Kooreman, M. L., Boersma, K. F., Tagesson, T., Ardö, J., Nouvellon, Y., and Peters, W.: Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa, Biogeosciences, 18, 2843–2857, https://doi.org/10.5194/bg-18-2843-2021, 2021.
Meroni, M., Picchi, V., Rossini, M., Cogliati, S., Panigada, C., Nali, C.,
Lorenzini, G., and Colombo, R.: Leaf level early assessment of ozone
injuries by passive fluorescence and photochemical reflectance index,
Int. J. Remote Sens., 29, 5409–5422,
https://doi.org/10.1080/01431160802036292, 2008.
Miao, G., Guan, K., Yang, X., Bernacchi, C. J., Berry, J. A., DeLucia, E.
H., Wu, J., Moore, C. E., Meacham, K., Cai, Y., Peng, B., Kimm, H., and
Masters, M. D.: Sun-Induced Chlorophyll Fluorescence, Photosynthesis, and
Light Use Efficiency of a Soybean Field from Seasonally Continuous
Measurements, J. Geophys. Res.-Biogeo., 123,
610–623, https://doi.org/10.1002/2017JG004180, 2018.
Mohammed, G. H., Colombo, R., Middleton, E. M., Rascher, U., van der Tol,
C., Nedbal, L., Goulas, Y., Pérez-Priego, O., Damm, A., Meroni, M.,
Joiner, J., Cogliati, S., Verhoef, W., Malenovský, Z.,
Gastellu-Etchegorry, J.-P., Miller, J. R., Guanter, L., Moreno, J., Moya,
I., Berry, J. A., Frankenberg, C., and Zarco-Tejada, P. J.: Remote sensing
of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of
progress, Remote Sens. Environ., 231, 111177,
https://doi.org/10.1016/j.rse.2019.04.030, 2019.
Moureaux, C., Bodson, B., and Aubinet, M.: Mesure des flux de CO2 et bilan
carboné de grandes cultures: état de la question et
méthodologie, Biotechnol. Agron. Soc. Environ., 12, 303–315, 2008.
Nadeau, C. and Bengio, Y.: Inference for the Generalization Error, Mach. Learn., 52, 239–281, https://doi.org/10.1023/A:1024068626366, 2003.
Pabon-Moreno, D. E., Migliavacca, M., Reichstein, M., and Mahecha, M. D.: On
the potential of Sentinel-2 for estimating Gross Primary Production, IEEE
T. Geosci. Remote Sens., 60, 4409412,
https://doi.org/10.1109/TGRS.2022.3152272, 2022.
Paul-Limoges, E., Damm, A., Hueni, A., Liebisch, F., Eugster, W., Schaepman,
M. E., and Buchmann, N.: Effect of environmental conditions on sun-induced
fluorescence in a mixed forest and a cropland, Remote Sens.
Environ., 219, 310–323, https://doi.org/10.1016/j.rse.2018.10.018, 2018.
Porcar-Castell, A., Tyystjärvi, E., Atherton, J., van der Tol, C.,
Flexas, J., Pfündel, E. E., Moreno, J., Frankenberg, C., and Berry, J.
A.: Linking chlorophyll a fluorescence to photosynthesis for remote sensing
applications: mechanisms and challenges, J. Exp. Bot., 65,
4065–4095, https://doi.org/10.1093/jxb/eru191, 2014.
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.
Sippel, S., Reichstein, M., Ma, X., Mahecha, M. D., Lange, H., Flach, M.,
and Frank, D.: Drought, Heat, and the Carbon Cycle: a Review, Curr. Clim.
Change Rep., 4, 266–286, https://doi.org/10.1007/s40641-018-0103-4, 2018.
Smith, W. K., Biederman, J. A., Scott, R. L., Moore, D. J. P., He, M.,
Kimball, J. S., Yan, D., Hudson, A., Barnes, M. L., MacBean, N., Fox, A. M.,
and Litvak, M. E.: Chlorophyll Fluorescence Better Captures Seasonal and
Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of
Southwestern North America, Geophys. Res. Lett., 45, 748–757,
https://doi.org/10.1002/2017GL075922, 2018.
Soudani, K., Hmimina, G., Dufrêne, E., Berveiller, D., Delpierre, N.,
Ourcival, J.-M., Rambal, S., and Joffre, R.: Relationships between
photochemical reflectance index and light-use efficiency in deciduous and
evergreen broadleaf forests, Remote Sens. Environ., 144, 73–84,
https://doi.org/10.1016/j.rse.2014.01.017, 2014.
Sun, Y., Frankenberg, C., Jung, M., Joiner, J., Guanter, L., Köhler, P.,
and Magney, T.: Overview of Solar-Induced chlorophyll Fluorescence (SIF)
from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison,
and global monitoring for GPP, Remote Sens. Environ., 209, 808–823,
https://doi.org/10.1016/j.rse.2018.02.016, 2018.
Tagliabue, G., Panigada, C., Dechant, B., Baret, F., Cogliati, S., Colombo,
R., Migliavacca, M., Rademske, P., Schickling, A., Schüttemeyer, D.,
Verrelst, J., Rascher, U., Ryu, Y., and Rossini, M.: Exploring the spatial
relationship between airborne-derived red and far-red sun-induced
fluorescence and process-based GPP estimates in a forest ecosystem, Remote
Sens. Environ., 231, 111272,
https://doi.org/10.1016/j.rse.2019.111272, 2019.
Toloşi, L. and Lengauer, T.: Classification with correlated
features: unreliability of feature ranking and solutions, Bioinformatics,
27, 1986–1994, https://doi.org/10.1093/bioinformatics/btr300, 2011.
Tramontana, G., Jung, M., Schwalm, C. R., Ichii, K., Camps-Valls, G., Ráduly, B., Reichstein, M., Arain, M. A., Cescatti, A., Kiely, G., Merbold, L., Serrano-Ortiz, P., Sickert, S., Wolf, S., and Papale, D.: Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms, Biogeosciences, 13, 4291–4313, https://doi.org/10.5194/bg-13-4291-2016, 2016.
Tucker, C. J.: Red and photographic infrared linear combinations for
monitoring vegetation, Remote Sens. Environ., 8, 127–150, 1979.
Vermote, E. and Wolfe, R.: MOD09GA MODIS/Terra Surface Reflectance Daily L2G Global 1 km and 500 m SIN Grid V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MOD09GA.006, 2015a.
Vermote, E. and Wolfe, R.: MYD09GQ MODIS/Aqua Surface Reflectance Daily L2G Global 250 m SIN Grid V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MYD09GQ.006, 2015b.
Vermote, P. E. F., Roger, J. C., and Ray, J. P.: MODIS Land Surface
Reflectance Science Computing Facility Principal Investigator: Dr. Eric F.
Vermote, http://modis-sr.ltdri.org (last access: 18 October 2021), 2015.
Wang, N., Suomalainen, J., Bartholomeus, H., Kooistra, L., Masiliûnas,
D., and Clevers, J. G. P. W.: Diurnal variation of sun-induced chlorophyll
fluorescence of agricultural crops observed from a point-based spectrometer
on a UAV, Int. J. Appl. Earth Obs., 96, 102276, https://doi.org/10.1016/j.jag.2020.102276, 2021.
Wang, X., Chen, J. M., and Ju, W.: Photochemical reflectance index (PRI) can
be used to improve the relationship between gross primary productivity (GPP)
and sun-induced chlorophyll fluorescence (SIF), Remote Sens.
Environ., 246, 111888, https://doi.org/10.1016/j.rse.2020.111888, 2020.
Wang, X., Biederman, J. A., Knowles, J. F., Scott, R. L., Turner, A. J.,
Dannenberg, M. P., Köhler, P., Frankenberg, C., Litvak, M. E.,
Flerchinger, G. N., Law, B. E., Kwon, H., Reed, S. C., Parton, W. J.,
Barron-Gafford, G. A., and Smith, W. K.: Satellite solar-induced chlorophyll
fluorescence and near-infrared reflectance capture complementary aspects of
dryland vegetation productivity dynamics, Remote Sens. Environ.,
270, 112858, https://doi.org/10.1016/j.rse.2021.112858, 2022.
Wieneke, S., Ahrends, H., Damm, A., Pinto, F., Stadler, A., Rossini, M., and
Rascher, U.: Airborne based spectroscopy of red and far-red sun-induced
chlorophyll fluorescence: Implications for improved estimates of gross
primary productivity, Remote Sens. Environ., 184, 654–667,
https://doi.org/10.1016/j.rse.2016.07.025, 2016.
Wieneke, S., Burkart, A., Cendrero-Mateo, M. P., Julitta, T., Rossini, M.,
Schickling, A., Schmidt, M., and Rascher, U.: Linking photosynthesis and
sun-induced fluorescence at sub-daily to seasonal scales, Remote Sens.
Environ., 219, 247–258, https://doi.org/10.1016/j.rse.2018.10.019, 2018.
Wolanin, A., Camps-Valls, G., Gómez-Chova, L., Mateo-García, G.,
van der Tol, C., Zhang, Y., and Guanter, L.: Estimating crop primary
productivity with Sentinel-2 and Landsat 8 using machine learning methods
trained with radiative transfer simulations, Remote Sens. Environ.,
225, 441–457, https://doi.org/10.1016/j.rse.2019.03.002, 2019.
Wood, J. D., Griffis, T. J., Baker, J. M., Frankenberg, C., Verma, M., and
Yuen, K.: Multiscale analyses of solar-induced florescence and gross primary
production: Multiscale GPP-SIF RELATIONS, Geophys. Res. Lett., 44, 533–541,
https://doi.org/10.1002/2016GL070775, 2017.
Wu, G., Guan, K., Jiang, C., Peng, B., Kimm, H., Chen, M., Yang, X., Wang,
S., Suyker, A. E., Bernacchi, C. J., Moore, C. E., Zeng, Y., Berry, J. A.,
and Cendrero-Mateo, M. P.: Radiance-based NIRv as a proxy for GPP of
corn and soybean, Environ. Res. Lett., 15, 034009,
https://doi.org/10.1088/1748-9326/ab65cc, 2020.
Xiao, J., Chevallier, F., Gomez, C., Guanter, L., Hicke, J. A., Huete, A.
R., Ichii, K., Ni, W., Pang, Y., Rahman, A. F., Sun, G., Yuan, W., Zhang,
L., and Zhang, X.: Remote sensing of the terrestrial carbon cycle: A review
of advances over 50 years, Remote Sens. Environ., 233, 111383,
https://doi.org/10.1016/j.rse.2019.111383, 2019.
Xiao, X.: Modeling gross primary production of temperate deciduous broadleaf
forest using satellite images and climate data, Remote Sens.
Environ., 91, 256–270, https://doi.org/10.1016/j.rse.2004.03.010, 2004.
Yang, H., Yang, X., Zhang, Y., Heskel, M. A., Lu, X., Munger, J. W., Sun,
S., and Tang, J.: Chlorophyll fluorescence tracks seasonal variations of
photosynthesis from leaf to canopy in a temperate forest, Glob. Change
Biol., 23, 2874–2886, https://doi.org/10.1111/gcb.13590, 2017.
Yang, P., van der Tol, C., Campbell, P. K. E., and Middleton, E. M.: Unraveling the physical and physiological basis for the solar- induced chlorophyll fluorescence and photosynthesis relationship using continuous leaf and canopy measurements of a corn crop, Biogeosciences, 18, 441–465, https://doi.org/10.5194/bg-18-441-2021, 2021.
Yang, X., Tang, J., Mustard, J. F., Lee, J.-E., Rossini, M., Joiner, J.,
Munger, J. W., Kornfeld, A., and Richardson, A. D.: Solar-induced
chlorophyll fluorescence that correlates with canopy photosynthesis on
diurnal and seasonal scales in a temperate deciduous forest: Fluorescence
and photosynthesis, Geophys. Res. Lett., 42, 2977–2987,
https://doi.org/10.1002/2015GL063201, 2015.
Yazbeck, T., Bohrer, G., Gentine, P., Ye, L., Arriga, N., Bernhofer, C.,
Blanken, P. D., Desai, A. R., Durden, D., Knohl, A., Kowalska, N., Metzger,
S., Mölder, M., Noormets, A., Novick, K., Scott, R. L., Šigut, L.,
Soudani, K., Ueyama, M., and Varlagin, A.: Site Characteristics Mediate the
Relationship Between Forest Productivity and Satellite Measured Solar
Induced Fluorescence, Front. For. Glob. Change, 4, 695269,
https://doi.org/10.3389/ffgc.2021.695269, 2021.
Zeng, Y., Badgley, G., Dechant, B., Ryu, Y., Chen, M., and Berry, J. A.: A
practical approach for estimating the escape ratio of near-infrared
solar-induced chlorophyll fluorescence, Remote Sens. Environ., 232,
111209, https://doi.org/10.1016/j.rse.2019.05.028, 2019.
Zhang, J., Xiao, J., Tong, X., Zhang, J., Meng, P., Li, J., Liu, P., and Yu,
P.: NIRv and SIF better estimate phenology than NDVI and EVI: Effects of
spring and autumn phenology on ecosystem production of planted forests,
Agr. Forest Meteorol., 315, 108819,
https://doi.org/10.1016/j.agrformet.2022.108819, 2022.
Zhang, Y., Xiao, X., Wu, X., Zhou, S., Zhang, G., Qin, Y., and Dong, J.: A
global moderate resolution dataset of gross primary production of vegetation
for 2000–2016, Sci. Data, 4, 170165, https://doi.org/10.1038/sdata.2017.165,
2017.
Zhang, Y., Xiao, X., Zhang, Y., Wolf, S., Zhou, S., Joiner, J., Guanter, L.,
Verma, M., Sun, Y., Yang, X., Paul-Limoges, E., Gough, C. M., Wohlfahrt, G.,
Gioli, B., van der Tol, C., Yann, N., Lund, M., and de Grandcourt, A.: On
the relationship between sub-daily instantaneous and daily total gross
primary production: Implications for interpreting satellite-based SIF
retrievals, Remote Sens. Environ., 205, 276–289,
https://doi.org/10.1016/j.rse.2017.12.009, 2018.
Zhang, Y., Migliavacca, M., Penuelas, J., and Ju, W.: Advances in
hyperspectral remote sensing of vegetation traits and functions, Remote
Sens. Environ., 252, 112121,
https://doi.org/10.1016/j.rse.2020.112121, 2021a.
Zhang, Y., Zhang, Q., Liu, L., Zhang, Y., Wang, S., Ju, W., Zhou, G., Zhou,
L., Tang, J., Zhu, X., Wang, F., Huang, Y., Zhang, Z., Qiu, B., Zhang, X.,
Wang, S., Huang, C., Tang, X., and Zhang, J.: ChinaSpec: a Network for
Long-term Ground-based Measurements of Solar-induced Fluorescence in China,
J. Geophys. Res.-Biogeo., 126, e2020JG006042, https://doi.org/10.1029/2020JG006042, 2021b.
Zhang, Z., Zhang, Y., Porcar-Castell, A., Joiner, J., Guanter, L., Yang, X.,
Migliavacca, M., Ju, W., Sun, Z., Chen, S., Martini, D., Zhang, Q., Li, Z.,
Cleverly, J., Wang, H., and Goulas, Y.: Reduction of structural impacts and
distinction of photosynthetic pathways in a global estimation of GPP from
space-borne solar-induced chlorophyll fluorescence, Remote Sens.
Environ., 240, 111722, https://doi.org/10.1016/j.rse.2020.111722, 2020.
Short summary
This study focuses on the relationship between sun-induced chlorophyll fluorescence (SIF) and ecosystem gross primary productivity (GPP) across the ICOS European flux tower network. It shows that SIF, coupled with reflectance observations, explains over 80 % of the GPP variability across diverse ecosystems but fails to bring new information compared to reflectance alone at coarse spatial scales (~5 km). These findings have applications in agriculture and ecophysiological studies.
This study focuses on the relationship between sun-induced chlorophyll fluorescence (SIF) and...
Altmetrics
Final-revised paper
Preprint