Articles | Volume 12, issue 20
https://doi.org/10.5194/bg-12-6103-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-6103-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Reviews and syntheses
| 
27 Oct 2015
Reviews and syntheses |
| 27 Oct 2015
EUROSPEC: at the interface between remote-sensing and ecosystem CO2 flux measurements in Europe
A. Porcar-Castell
CORRESPONDING AUTHOR
Department of Forest Sciences, University of Helsinki, P.O. Box 27 00014, Finland
A. Mac Arthur
NERC Field Spectroscopy Facility, GeoScience, The King's Buildings, West Mains Road, Edinburgh EH9 3JW, UK
M. Rossini
Remote Sensing of Environmental Dynamics Lab., DISAT, Università degli Studi Milano-Bicocca, piazza della Scienza 1, 20126 Milan, Italy
L. Eklundh
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
J. Pacheco-Labrador
Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Institute of Economics, Geography and Demography, Spanish National Research Council (CSIC), Albasanz 26–28, 28037, Madrid, Spain
K. Anderson
Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR109FE, UK
M. Balzarolo
Department of Biology, Centre of Excellence PLECO (Plant and Vegetation Ecology), University of Antwerp, 2610 Wilrijk, Belgium
M. P. Martín
Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Institute of Economics, Geography and Demography, Spanish National Research Council (CSIC), Albasanz 26–28, 28037, Madrid, Spain
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
E. Tomelleri
Institute for Applied Remote Sensing, Viale Druso 1, 39100 Bolzano, Italy
S. Cerasoli
Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal
K. Sakowska
Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation Centre – Fondazione Edmund Mach, Via E. Mach 1, 38010 – S. Michele all'Adige (TN), Italy
Meteorology Department, Poznan University of Life Sciences, Piatkowska Street 94, 60-649 Poznan, Poland
A. Hueni
Remote Sensing Laboratories, Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
T. Julitta
Remote Sensing of Environmental Dynamics Lab., DISAT, Università degli Studi Milano-Bicocca, piazza della Scienza 1, 20126 Milan, Italy
C. J. Nichol
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
L. Vescovo
Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation Centre – Fondazione Edmund Mach, Via E. Mach 1, 38010 – S. Michele all'Adige (TN), Italy
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The timing of plant development stages and their response to climate and management were investigated using a network of digital cameras installed across different European ecosystems. Using the relative red, green and blue content of images we showed that the green signal could be used to estimate the length of the growing season in broadleaf forests. We also developed a model that predicted the seasonal variations of camera RGB signals and how they relate to leaf pigment content and area well.
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Jiaming Wen, Giulia Tagliabue, Micol Rossini, Francesco Pietro Fava, Cinzia Panigada, Lutz Merbold, Sonja Leitner, and Ying Sun
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Solar-induced chlorophyll fluorescence (SIF), a tiny optical signal emitted from the core photosynthetic machinery, has emerged as a promising tool to evaluate vegetation growth from satellites. We find satellite SIF can capture intra-seasonal (i.e., from days to weeks) vegetation dynamics of dryland ecosystems, while greenness-based vegetation indices cannot. This study generates novel insights for developing effective real-time vegetation monitoring systems to inform climate risk management.
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Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-501, https://doi.org/10.5194/bg-2019-501, 2020
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Biagio Di Mauro, Giovanni Baccolo, Roberto Garzonio, Claudia Giardino, Dario Massabò, Andrea Piazzalunga, Micol Rossini, and Roberto Colombo
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In the paper, we demonstrate the potential of field and satellite hyperspectral reflectance data in characterizing the spatial distribution of impurities on the Morteratsch Glacier. In situ reflectance spectra showed that impurities reduced ice reflectance in visible wavelengths by 80–90 %. Satellite data also showed the outcropping of dust during the melting season in the upper parts of the glacier. Laboratory measurements of cryoconite showed the presence of elemental and organic carbon.
W. Liu, J. Atherton, M. Mõttus, A. MacArthur, H. Teemu, K. Maseyk, I. Robinson, E. Honkavaara, and A. Porcar-Castell
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 107–111, https://doi.org/10.5194/isprs-archives-XLII-3-W3-107-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-107-2017, 2017
Per-Ola Olsson, Michal Heliasz, Hongxiao Jin, and Lars Eklundh
Biogeosciences, 14, 1703–1719, https://doi.org/10.5194/bg-14-1703-2017, https://doi.org/10.5194/bg-14-1703-2017, 2017
O. Perez-Priego, J. Guan, M. Rossini, F. Fava, T. Wutzler, G. Moreno, N. Carvalhais, A. Carrara, O. Kolle, T. Julitta, M. Schrumpf, M. Reichstein, and M. Migliavacca
Biogeosciences, 12, 6351–6367, https://doi.org/10.5194/bg-12-6351-2015, https://doi.org/10.5194/bg-12-6351-2015, 2015
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Sun-induced chlorophyll fluorescence and photochemical reflectance index revealed controls of climate and nutrient availability on photosynthesis (gross primary production, GPP). Meteo-driven models (MMs) were unable to describe nutrient-induced effects on GPP. Important implications can be derived from these results, and uncertainties in the prediction of global GPP still remain when MMs do not account for plant nutrient availability.
L. Wingate, J. Ogée, E. Cremonese, G. Filippa, T. Mizunuma, M. Migliavacca, C. Moisy, M. Wilkinson, C. Moureaux, G. Wohlfahrt, A. Hammerle, L. Hörtnagl, C. Gimeno, A. Porcar-Castell, M. Galvagno, T. Nakaji, J. Morison, O. Kolle, A. Knohl, W. Kutsch, P. Kolari, E. Nikinmaa, A. Ibrom, B. Gielen, W. Eugster, M. Balzarolo, D. Papale, K. Klumpp, B. Köstner, T. Grünwald, R. Joffre, J.-M. Ourcival, M. Hellstrom, A. Lindroth, C. George, B. Longdoz, B. Genty, J. Levula, B. Heinesch, M. Sprintsin, D. Yakir, T. Manise, D. Guyon, H. Ahrends, A. Plaza-Aguilar, J. H. Guan, and J. Grace
Biogeosciences, 12, 5995–6015, https://doi.org/10.5194/bg-12-5995-2015, https://doi.org/10.5194/bg-12-5995-2015, 2015
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The timing of plant development stages and their response to climate and management were investigated using a network of digital cameras installed across different European ecosystems. Using the relative red, green and blue content of images we showed that the green signal could be used to estimate the length of the growing season in broadleaf forests. We also developed a model that predicted the seasonal variations of camera RGB signals and how they relate to leaf pigment content and area well.
G. Mendiguren, M. Pilar Martín, H. Nieto, J. Pacheco-Labrador, and S. Jurdao
Biogeosciences, 12, 5523–5535, https://doi.org/10.5194/bg-12-5523-2015, https://doi.org/10.5194/bg-12-5523-2015, 2015
S. Dengel, J. Grace, and A. MacArthur
Biogeosciences, 12, 4195–4207, https://doi.org/10.5194/bg-12-4195-2015, https://doi.org/10.5194/bg-12-4195-2015, 2015
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We tested the hypothesis that diffuse radiation from cloudy and overcast skies penetrates the canopy more effectively than direct radiation from clear skies. We compared the flux density and spectral properties of direct and diffuse radiation above, within and below a forest stand under sunny, cloudy and overcast conditions in a thinned Sitka spruce forest. We recorded vertical (1m resolution) and horizontal (2.5m resolution) profiles of radiation penetration at 1nm resolution.
M. Balzarolo, L. Vescovo, A. Hammerle, D. Gianelle, D. Papale, E. Tomelleri, and G. Wohlfahrt
Biogeosciences, 12, 3089–3108, https://doi.org/10.5194/bg-12-3089-2015, https://doi.org/10.5194/bg-12-3089-2015, 2015
S. K. von Bueren, A. Burkart, A. Hueni, U. Rascher, M. P. Tuohy, and I. J. Yule
Biogeosciences, 12, 163–175, https://doi.org/10.5194/bg-12-163-2015, https://doi.org/10.5194/bg-12-163-2015, 2015
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Unmanned aerial vehicles (UAVs) equipped with optical sensors facilitate non-invasive, real-time vegetation analysis. To guarantee robust scientific analysis, protocols need to be developed and sensors must be compared to state-of-the-art instruments. Here we compare four UAV sensors (RGB, NIR, six-band, spectrometer) to evaluate their applicability for vegetation monitoring. By showing the opportunities and pitfalls of UAV-based sensing, we describe ways to gather sound scientific data.
K. Sakowska, L. Vescovo, B. Marcolla, R. Juszczak, J. Olejnik, and D. Gianelle
Biogeosciences, 11, 4695–4712, https://doi.org/10.5194/bg-11-4695-2014, https://doi.org/10.5194/bg-11-4695-2014, 2014
J. B. Fisher, M. Sikka, W. C. Oechel, D. N. Huntzinger, J. R. Melton, C. D. Koven, A. Ahlström, M. A. Arain, I. Baker, J. M. Chen, P. Ciais, C. Davidson, M. Dietze, B. El-Masri, D. Hayes, C. Huntingford, A. K. Jain, P. E. Levy, M. R. Lomas, B. Poulter, D. Price, A. K. Sahoo, K. Schaefer, H. Tian, E. Tomelleri, H. Verbeeck, N. Viovy, R. Wania, N. Zeng, and C. E. Miller
Biogeosciences, 11, 4271–4288, https://doi.org/10.5194/bg-11-4271-2014, https://doi.org/10.5194/bg-11-4271-2014, 2014
J. Zscheischler, M. Reichstein, S. Harmeling, A. Rammig, E. Tomelleri, and M. D. Mahecha
Biogeosciences, 11, 2909–2924, https://doi.org/10.5194/bg-11-2909-2014, https://doi.org/10.5194/bg-11-2909-2014, 2014
M. Balzarolo, S. Boussetta, G. Balsamo, A. Beljaars, F. Maignan, J.-C. Calvet, S. Lafont, A. Barbu, B. Poulter, F. Chevallier, C. Szczypta, and D. Papale
Biogeosciences, 11, 2661–2678, https://doi.org/10.5194/bg-11-2661-2014, https://doi.org/10.5194/bg-11-2661-2014, 2014
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Carbon sequestration potential of street tree plantings in Helsinki
Technical note: Incorporating expert domain knowledge into causal structure discovery workflows
Laura Nadolski, Tarek S. El-Madany, Jacob Nelson, Arnaud Carrara, Gerardo Moreno, Richard Nair, Yunpeng Luo, Anke Hildebrandt, Victor Rolo, Markus Reichstein, and Sung-Ching Lee
Biogeosciences, 22, 2935–2958, https://doi.org/10.5194/bg-22-2935-2025, https://doi.org/10.5194/bg-22-2935-2025, 2025
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Semi-arid ecosystems are crucial for Earth's carbon balance and are sensitive to changes in nitrogen (N) and phosphorus (P) levels. Their carbon dynamics are complex and not fully understood. We studied how long-term nutrient changes affect carbon exchange. In summer, the addition of N+P changed plant composition and productivity. In transitional seasons, carbon exchange was less weather-dependent with N. The addition of N and N+P increases carbon-exchange variability, driven by grass greenness.
Rosemary J. Eufemio, Galit Renzer, Mariah Rojas, Jolanta Miadlikowska, Todd L. Sformo, François Lutzoni, Boris A. Vinatzer, and Konrad Meister
Biogeosciences, 22, 2087–2096, https://doi.org/10.5194/bg-22-2087-2025, https://doi.org/10.5194/bg-22-2087-2025, 2025
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Biological ice nucleation plays key roles in organism survival and in shaping Earth’s atmospheric patterns. Our pan-American screening of Peltigera lichens reveals that the lichen thalli produce highly active ice nucleators (INs) resistant to freeze–thaw cycles. Notably, a pure fungal culture from Peltigera britannica released the most potent INs reported to date. Given the global abundance of these lichens, the INs may be important contributors to atmospheric processes.
Archana Dayalu, Marikate Mountain, Bharat Rastogi, John B. Miller, and Luciana Gatti
Biogeosciences, 22, 1509–1528, https://doi.org/10.5194/bg-22-1509-2025, https://doi.org/10.5194/bg-22-1509-2025, 2025
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The Amazon is facing unprecedented disturbance. Determining trends in Amazonia's carbon balance and its sensitivity to disturbance requires reliable vegetation models that adequately capture how its ecosystems exchange carbon with the atmosphere. Using ground- and satellite-based ecosystem products, we present an improved model of land–atmosphere vegetation carbon exchange across the Amazon. Our model agrees with independent aircraft observations from different locations.
José Ángel Callejas-Rodelas, Alexander Knohl, Ivan Mammarella, Timo Vesala, Olli Peltola, and Christian Markwitz
EGUsphere, https://doi.org/10.5194/egusphere-2025-810, https://doi.org/10.5194/egusphere-2025-810, 2025
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The spatial variability of CO2 and water vapour exchanges with the atmosphere was quantified above an agroforestry system, and further compared to a monocropping system, using a total of four eddy covariance stations. The variability of fluxes within the agroforestry was found to be as large as the variability between agroforestry and monocropping, induced by the heterogeneity of the site, which highlights the need for replicated measurements above such ecosystems.
Andrew S. Kowalski
Biogeosciences, 22, 785–789, https://doi.org/10.5194/bg-22-785-2025, https://doi.org/10.5194/bg-22-785-2025, 2025
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The laws of physics show that leaf oxygen is not photosynthetically enriched but extremely dilute due to the overwhelming effects of humidification. This challenges the prevailing diffusion-only paradigm regarding leaf gas exchanges because non-diffusive transport is required. Such transport also explains why fluxes of carbon dioxide and water vapour become decoupled at very high temperatures, as has been observed but not explained by plant physiologists.
Florian Wieland, Nadine Bothen, Ralph Schwidetzky, Teresa M. Seifried, Paul Bieber, Ulrich Pöschl, Konrad Meister, Mischa Bonn, Janine Fröhlich-Nowoisky, and Hinrich Grothe
Biogeosciences, 22, 103–115, https://doi.org/10.5194/bg-22-103-2025, https://doi.org/10.5194/bg-22-103-2025, 2025
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Betula pendula is a widespread birch tree species containing ice nucleation agents that can trigger the freezing of cloud droplets and thereby alter the evolution of clouds. Our study identifies three distinct ice-nucleating macromolecule (INM) aggregates of varying size that can nucleate ice at temperatures up to –5.4°C. Our findings suggest that these vegetation-derived particles may influence atmospheric processes, weather, and climate more strongly than previously thought.
Nicholas Cowan, Toby Roberts, Mark Hanlon, Aurelia Bezanger, Galina Toteva, Alex Tweedie, Karen Yeung, Ajinkya Deshpande, Peter Levy, Ute Skiba, Eiko Nemitz, and Julia Drewer
EGUsphere, https://doi.org/10.5194/egusphere-2024-3654, https://doi.org/10.5194/egusphere-2024-3654, 2024
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We measured soil hydrogen (H2) fluxes from two field sites, a managed grassland and a planted deciduous woodland, with flux measurements of H2 covering full seasonal cycles. We estimate annual H2 uptake of -3.1 ± 0.1 and -12.0 ± 0.4 kg H2 ha-1 yr-1 for the grassland and woodland sites, respectively. Soil moisture was found to be the primary driver of H2 uptake, with the clay content of the soils providing a physical barrier which limited H2 uptake.
Matthew G. Davis, Kevin Yan, and Jennifer G. Murphy
Biogeosciences, 21, 5381–5392, https://doi.org/10.5194/bg-21-5381-2024, https://doi.org/10.5194/bg-21-5381-2024, 2024
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Ammonia applied as fertilizer can volatilize into the atmosphere. This can threaten vulnerable ecosystems and human health. We investigated the partitioning of ammonia between an immobile adsorbed phase and mobile aqueous phase using several adsorption models. Using the Temkin model we determined that previous approaches to this issue may overestimate the quantity available for exchange by a factor of 5–20, suggesting that ammonia emissions from soil may be overestimated.
Annika Einbock and Franz Conen
Biogeosciences, 21, 5219–5231, https://doi.org/10.5194/bg-21-5219-2024, https://doi.org/10.5194/bg-21-5219-2024, 2024
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A small fraction of particles found at great heights in the atmosphere can freeze cloud droplets at temperatures of ≥ −10 °C and thus influence cloud properties. We provide a novel type of evidence that plant canopies are a major source of such biological ice-nucleating particles in the air above the Alps, potentially affecting mixed-phase cloud development.
Stephen E. Schwartz
Biogeosciences, 21, 5045–5057, https://doi.org/10.5194/bg-21-5045-2024, https://doi.org/10.5194/bg-21-5045-2024, 2024
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Anticorrelation in uptake of atmospheric CO2 following pulse emission or abrupt cessation of emissions is examined in two key model intercomparison studies. In both studies net transfer coefficients from the atmosphere to the world ocean and the terrestrial biosphere are anticorrelated across models, reducing inter-model diversity in decrease of atmospheric CO2 following the perturbation, increasing uncertainties of global warming potentials and consequences of prospective emission reductions.
Qian Li, Gil Lerner, Einat Bar, Efraim Lewinsohn, and Eran Tas
Biogeosciences, 21, 4133–4147, https://doi.org/10.5194/bg-21-4133-2024, https://doi.org/10.5194/bg-21-4133-2024, 2024
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Our research indicates that instantaneous changes in meteorological parameters better reflect drought-induced changes in the emission rates of biogenic volatile organic compounds (BVOCs) from natural vegetation than their absolute values. However, following a small amount of irrigation, this trend became more moderate or reversed, accompanied by a dramatic increase in BVOC emission rates. These findings advance our understanding of BVOC emissions under climate change.
Pia Gottschalk, Aram Kalhori, Zhan Li, Christian Wille, and Torsten Sachs
Biogeosciences, 21, 3593–3616, https://doi.org/10.5194/bg-21-3593-2024, https://doi.org/10.5194/bg-21-3593-2024, 2024
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To improve the accuracy of spatial carbon exchange estimates, we evaluated simple linear models for net ecosystem exchange (NEE) and gross primary productivity (GPP) and how they can be used to upscale the CO2 exchange of agricultural fields. The models are solely driven by Sentinel-2-derived vegetation indices (VIs). Evaluations show that different VIs have variable power to estimate NEE and GPP of crops in different years. The overall performance is as good as results from complex crop models.
Liliana Scapucci, Ankit Shekhar, Sergio Aranda-Barranco, Anastasiia Bolshakova, Lukas Hörtnagl, Mana Gharun, and Nina Buchmann
Biogeosciences, 21, 3571–3592, https://doi.org/10.5194/bg-21-3571-2024, https://doi.org/10.5194/bg-21-3571-2024, 2024
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Forests face increased exposure to “compound soil and atmospheric drought” (CSAD) events due to global warming. We examined the impacts and drivers of CO2 fluxes during CSAD events at multiple layers of a deciduous forest over 18 years. Results showed reduced net ecosystem productivity and forest-floor respiration during CSAD events, mainly driven by soil and atmospheric drought. This unpredictability in forest CO2 fluxes jeopardises reforestation projects aimed at mitigating CO2 emissions.
Piaopiao Ke, Anna Lintunen, Pasi Kolari, Annalea Lohila, Santeri Tuovinen, Janne Lampilahti, Roseline Thakur, Maija Peltola, Otso Peräkylä, Tuomo Nieminen, Ekaterina Ezhova, Mari Pihlatie, Asta Laasonen, Markku Koskinen, Helena Rautakoski, Laura Heimsch, Tom Kokkonen, Aki Vähä, Ivan Mammarella, Steffen Noe, Jaana Bäck, Veli-Matti Kerminen, and Markku Kulmala
EGUsphere, https://doi.org/10.5194/egusphere-2024-1967, https://doi.org/10.5194/egusphere-2024-1967, 2024
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Our research explores diverse ecosystems’ role in climate cooling via the concept of CarbonSink+ Potential. We measured CO2 uptake and loaal aerosol production in forests, farms, peatlands, urban gardens, and coastal areas across Finland and Estonia. The long-term data reveal that while forests are vital regarding CarbonSink+ Potential, farms and urban gardens also play significant roles. These insights can help optimize management policy of natural resource to mitigate global warming.
Tamara Emmerichs, Yen-Sen Lu, and Domenico Taraborrelli
Biogeosciences, 21, 3251–3269, https://doi.org/10.5194/bg-21-3251-2024, https://doi.org/10.5194/bg-21-3251-2024, 2024
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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 into the atmosphere and thus significantly impacts the representation of weather as well as air quality. The newly implemented response function reduces this process and has a better comparison with satellite observations. This yields a higher intensity of unusual warm periods and higher production of air pollutants.
Nina L. H. Kinney, Charles A. Hepburn, Matthew I. Gibson, Daniel Ballesteros, and Thomas F. Whale
Biogeosciences, 21, 3201–3214, https://doi.org/10.5194/bg-21-3201-2024, https://doi.org/10.5194/bg-21-3201-2024, 2024
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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.
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
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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
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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
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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
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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
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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.
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
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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
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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
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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
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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.
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
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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
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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
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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
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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.
Hamadou Balde, Gabriel Hmimina, Yves Goulas, Gwendal Latouche, and Kamel Soudani
Biogeosciences, 20, 1473–1490, https://doi.org/10.5194/bg-20-1473-2023, https://doi.org/10.5194/bg-20-1473-2023, 2023
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
Cited articles
Alton, P. B.: From site-level to global simulation: Reconciling carbon, water and energy fluxes over different spatial scales using a process-based ecophysiological land-surface model, Agr. Forest Meteorol., 176, 111–124, https://doi.org/10.1016/j.agrformet.2013.03.010, 2013.
Anderson, K., Milton, E. J., and Rollin, E. M.: Calibration of dual-beam spectroradiometric data, Int. J. Remote Sens., 27, 975–986, https://doi.org/10.1080/01431160500213375, 2006.
Anderson, K., Dungan, J. L., and MacArthur, A.: On the reproducibility of field-measured reflectance factors in the context of vegetation studies, Remote Sens. Environ., 115, 1893–1905, https://doi.org/10.1016/j.rse.2011.03.012, 2011.
Anderson, K., Rossini, M., Pacheco-Labrador, J., Balzarolo, M., Mac Arthur, A., Fava, F., Julitta, T., and Vescovo, L.: Inter-comparison of hemispherical conical reflectance factors (HCRF) measured with four fibre-based spectrometers, Opt. Express, 21, 605–617, https://doi.org/10.1364/oe.21.000605, 2013.
Anderson, N., Biggar, S. F., Burkhart, C. J., Kurtis, J. T., and Mavko, M.: Bi-directional calibration results for the cleaning of SpectralonTM reference panels, in: Proceedings of SPIE – The International Society for Optical Engineering, vol. 4814, Earth Observing Systems VII, Seattle, WA, 25 September 2002, 201–210, 2002.
Aubinet, M., Grelle, A., Ibrom, A., Rannik, U., Moncrieff, J., Foken, T., Kowalski, A. S., Martin, P. H., Berbigier, P., Bernhofer, C., Clement, R., Elbers, J., Granier, A., Grunwald, T., Morgenstern, K., Pilegaard, K., Rebmann, C., Snijders, W., Valentini, R., and Vesala, T.: Estimates of the annual net carbon and water exchange of forests: The EUROFLUX methodology, Adv. Ecol. Res., 30, 113–175, 2000.
Baldocchi, D.: 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.
Balzarolo, M., Anderson, K., Nichol, C., Rossini, M., Vescovo, L., Arriga, N., Wohlfahrt, G., Calvet, J.-C. C., Carrara, A., Cerasoli, S., Cogliati, S., Daumard, F., Eklundh, L., Elbers, J. A., Evrendilek, F., Handcock, R. N., Kaduk, J., Klumpp, K., Longdoz, B., Matteucci, G., Meroni, M., Montagnani, L., Ourcival, J.-M. M., Sánchez-Cañete, E. P., Pontailler, J.-Y. Y., Juszczak, R., Scholes, B., Martín, M. P., Pilar Martín, M., and Martín, M. P.: Ground-based optical measurements at european flux sites: A review of methods, instruments and current controversies, Sensors, 11, 7954–7981, 2011.
Balzarolo, M., Boussetta, S., Balsamo, G., Beljaars, A., Maignan, F., Calvet, J.-C., Lafont, S., Barbu, A., Poulter, B., Chevallier, F., Szczypta, C., and Papale, D.: Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network, Biogeosciences, 11, 2661–2678, https://doi.org/10.5194/bg-11-2661-2014, 2014.
Balzarolo, M., Vescovo, L., Hammerle, A., Gianelle, D., Papale, D., Tomelleri, E., and Wohlfahrt, G.: On the relationship between ecosystem-scale hyperspectral reflectance and CO2 exchange in European mountain grasslands, Biogeosciences, 12, 3089–3108, https://doi.org/10.5194/bg-12-3089-2015, 2015.
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rodenbeck, C., Arain, M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A., Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., Veenendaal, E., Viovy, N., Williams, C., Woodward, F. I., and Papale, D.: Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate, Science, 329, 834–838, https://doi.org/10.1126/science.1184984, 2010.
Biggs, W. W., Edison, A. R., Eastin, J. D., Brown, K. W., Maranville, J. W., and Clegg, M. D.: Photosynthesis light sensor and meter, Ecology, 52, 125–131, https://doi.org/10.2307/1934743, 1971.
Bojinski, S., Schaepman, M., Schläpfer, D., and Itten, K.: SPECCHIO: A spectrum database for remote sensing applications, Comput. Geosci., 29, 27–38, https://doi.org/10.1016/S0098-3004(02)00107-3, 2003.
Bresciani, M., Rossini, M., Morabito, G., Matta, E., Pinardi, M., Cogliati, S., Julitta, T., Colombo, R., Braga, F., and Giardino, C.: Analysis of within- and between-day chlorophyll-a dynamics in Mantua Superior Lake, with a continuous spectroradiometric measurement, Mar. Freshwater Res., 64, 303–316, https://doi.org/10.1071/mf12229, 2013.
Brook, A. and Ben-Dor, E.: Supervised Vicarious Calibration (SVC) of multi-source hyperspectral remote-sensing data, Remote Sens., 7, 6196–6223, https://doi.org/10.3390/rs70506196, 2015.
Burkart, A., Schickling, A., Pilar Cendrero Mateo, M., Wrobel, T., Rossini, M., Cogliati, S., Julitta, T., and Rascher, U.: A Method for uncertainty assessment of passive sun-induced chlorophyll fluorescence retrieval by using an infrared reference light, IEEE Sens. J., 15, 4603–4611, https://doi.org/10.1109/JSEN.2015.2422894, 2015.
Caras, T., Karnieli, A., and Hedley, J.: Exploring field-of-view non-uniformities produced by a hand-held spectroradiometer, J. Spectr. Imaging, 2, 1–11, https://doi.org/10.1255/jsi.2011.a1, 2011.
Castro-Esau, K. L., Sánchez-Azofeifa, G. A., and Rivard, B.: Comparison of spectral indices obtained using multiple spectroradiometers, Remote Sens. Environ., 103, 276–288, https://doi.org/10.1016/j.rse.2005.01.019, 2006.
Chen, B., Coops, N. C., Fu, D., Margolis, H. A., Amiro, B. D., Black, T. A., Arain, M. A., Barr, A. G., Bourque, C. P. A, Flanagan, L. B., Lafleur, P. M., McCaughey, J. H., and Wofsy, S. C.: Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis, Remote Sens. Environ., 124, 742–755, https://doi.org/10.1016/j.rse.2012.06.007, 2012.
Cheng, Y., Gamon, J. A., Fuentes, D. A., Mao, Z., Sims, D. A., Qiu, H., Claudio, H., Huete, A., and Rahman, A. F.: A multi-scale analysis of dynamic optical signals in a Southern California chaparral ecosystem: A comparison of field, AVIRIS and MODIS data, Remote Sens. Environ., 103, 369–378, https://doi.org/10.1016/j.rse.2005.06.013, 2006.
Ciais, P., Dolman, A. J., Bombelli, A., Duren, R., Peregon, A., Rayner, P. J., Miller, C., Gobron, N., Kinderman, G., Marland, G., Gruber, N., Chevallier, F., Andres, R. J., Balsamo, G., Bopp, L., Bréon, F.-M., Broquet, G., Dargaville, R., Battin, T. J., Borges, A., Bovensmann, H., Buchwitz, M., Butler, J., Canadell, J. G., Cook, R. B., DeFries, R., Engelen, R., Gurney, K. R., Heinze, C., Heimann, M., Held, A., Henry, M., Law, B., Luyssaert, S., Miller, J., Moriyama, T., Moulin, C., Myneni, R. B., Nussli, C., Obersteiner, M., Ojima, D., Pan, Y., Paris, J.-D., Piao, S. L., Poulter, B., Plummer, S., Quegan, S., Raymond, P., Reichstein, M., Rivier, L., Sabine, C., Schimel, D., Tarasova, O., Valentini, R., Wang, R., van der Werf, G., Wickland, D., Williams, M., and Zehner, C.: Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system, Biogeosciences, 11, 3547–3602, https://doi.org/10.5194/bg-11-3547-2014, 2014.
CIE: Methods of characterizing illuminance meters and luminance meters: performance, characteristics and specifications, Central Bureau of the CIE, Technical Report 69, Vienna, Austria, 35 pp., 1987.
Clement, R. J., Jarvis, P. G., and Moncrieff, J. B.: Carbon dioxide exchange of a Sitka spruce plantation in Scotland over five years, Agr. Forest Meteorol., 153, 106–123, https://doi.org/10.1016/j.agrformet.2011.07.012, 2012.
Clevers, J. G. P. W. and Gitelson, A. A.: Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3, Remote Sens. Environ., 23, 344–351, https://doi.org/10.1016/j.jag.2012.10.008, 2013.
Cogliati, S., Rossini, M., Julitta, T., Meroni, M., Schickling, A., Burkart, A., Pinto, F., Rascher, U., and Colombo, R.: Continuous and long-term measurements of reflectance and sun-induced chlorophyll fluorescence by using novel automated field spectroscopy systems, Remote Sens. Environ., 164, 270–281, https://doi.org/10.1016/j.rse.2015.03.027, 2015.
Czapla-Myers, J., McCorkel, J., Anderson, N., Thome, K., Biggar, S., Helder, D., Aaron, D., Leigh, L., and Mishra, N.: The ground-based absolute radiometric calibration of Landsat 8 OLI, Remote Sens., 7, 600–626, 2015.
Dandois, J. P. and Ellis, E. C.: High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision, Remote Sens. Environ., 136, 259–276, https://doi.org/10.1016/j.rse.2013.04.005, 2013.
Di Bella, C. M., Paruelo, J. M., Becerra, J. E., Bacour, C., and Baret, F.: Effect of senescent leaves on NDVI-based estimates of fAPAR: Experimental and modelling evidences, Int. J. Remote Sens., 25, 5415–5427, https://doi.org/10.1080/01431160412331269724, 2004.
Drolet, G. G., Huemmrich, K. F., Hall, F. G., Middleton, E. M., Black, T. A., Barr, A. G., and Margolis, H. A.: A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest, Remote Sens. Environ., 98, 212–224, https://doi.org/10.1016/j.rse.2005.07.006, 2005.
Drolet, G., Wade, T., Nichol, C. J., MacLellan, C., Levula, J., Porcar-Castell, A., Nikinmaa, E., and Vesala, T.: A temperature-controlled spectrometer system for continuous and unattended measurements of canopy spectral radiance and reflectance, Int. J. Remote Sens., 35, 1769–1785, https://doi.org/10.1080/01431161.2014.882035, 2014.
Eklundh, L., Jin, H., Schubert, P., Guzinski, R., and Heliasz, M.: An optical sensor network for vegetation phenology monitoring and satellite data calibration, Sensors, 11, 7678–709, https://doi.org/10.3390/s110807678, 2011.
Enting, I. G., Rayner, P. J., and Ciais, P.: Carbon Cycle Uncertainty in REgional Carbon Cycle Assessment and Processes (RECCAP), Biogeosciences, 9, 2889–2904, https://doi.org/10.5194/bg-9-2889-2012, 2012.
Ferrero, A., Campos, J., and Pons, A.: Apparent violation of the radiant exposure reciprocity law in interline CCDs., Appl. Optics, 45, 3991–3997, https://doi.org/10.1364/AO.45.003991, 2006.
Ferrier, G., Hudson-Edwards, K. A., and Pope, R. J.: Characterisation of the environmental impact of the Rodalquilar mine, Spain by ground-based reflectance spectroscopy, J. Geochemical Explor., 100, 11–19, https://doi.org/10.1016/j.gexplo.2008.03.001, 2009.
Ferwerda, J. G., Jones, S. D., and Reston, M.: A free online reference library for hyperspectral reflectance signatures, SPIE Newsroom, https://doi.org/10.1117/2.1200612.0551, 2006.
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, L17706, https://doi.org/10.1029/2011GL048738, 2011.
Frankenberg, C., O'Dell, C., Berry, J., Guanter, L., Joiner, J., Köhler, P., Pollock, R., and Taylor, T. E.: Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2, Remote Sens. Environ., 147, 1–12, https://doi.org/10.1016/j.rse.2014.02.007, 2014.
Gamon, J. A., Penuelas, J., and Field, C. B.: A narrow-wave band spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sens. Environ., 41, 35–44, 1992.
Gamon, J. A., Field, C. B., Goulden, M. L., Griffin, K. L., Hartley, A. E., Joel, G., Peñuelas, J., and Valentini, R.: Relationships between NDVI, canopy structure, and photosynthesis in three californian vegetation types, Ecol. Appl., 5, 28–41, 1995.
Gamon, J. A., Rahman, A. F., Dungan, J. L., Schildhauer, M., and Huemmrich, K. F.: Spectral Network (SpecNet) – what is it and why do we need it?, Remote Sens. Environ., 103, 227–235, https://doi.org/10.1016/j.rse.2006.04.003, 2006.
Gamon, J. A., Coburn, C., Flanagan, L. B., Huemmrich, K. F., Kiddle, C., Sanchez-Azofeifa, G. A., Thayer, D. R., Vescovo, L., Gianelle, D., Sims, D. A., Rahman, A. F., and Pastorello, G. Z.: SpecNet revisited: bridging flux and remote sensing communities, Can. J. Remote Sens., 36, S376–S390, 2010.
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., Kovalchuck, O., Wong, C. Y. S., Harris, A., and Garrity, S. R.: Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors, Biogeosciences, 12, 4149–4159, https://doi.org/10.5194/bg-12-4149-2015, 2015.
Garbulsky, M. F., Penuelas, J., Papale, D., and Filella, I.: Remote estimation of carbon dioxide uptake by a Mediterranean forest, Glob. Change Biol., 14, 2860–2867, https://doi.org/10.1111/j.1365-2486.2008.01684.x, 2008.
Gelybó, G., Barcza, Z., Kern, A., and Kljun, N.: Effect of spatial heterogeneity on the validation of remote sensing based GPP estimations, Agr. Forest Meteorol., 174–175, 43–53, https://doi.org/10.1016/j.agrformet.2013.02.003, 2013.
Georgiev, G. T. and Butler, J. J.: Long-term calibration monitoring of Spectralon diffusers BRDF in the air-ultraviolet, Appl. Optics, 46, 7892–7899, https://doi.org/10.1364/ao.46.007892, 2007.
Georgiev, G. T., Butler, J. J., Cooksey, C., Ding, L., and Thome, K. J.: SWIR calibration of spectralon reflectance factor, in: Sensors, Systems, and Next-Generation Satellites XV, vol. 8176, edited by: Meynart, R., Neeck, S. P., and Shimoda, H., Proceedings of SPIE, Prague, Czech Republic, 81760W, https://doi.org/10.1117/12.898325, 2011.
Gitelson, A. A., Viña, A., Verma, S. B., Rundquist, D. C., Arkebauer, T. J., Keydan, G., Leavitt, B., Ciganda, V., Burba, G. G., and Suyker, A. E.: Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity, J. Geophys. Res.-Atmos., 111, D08S11, https://doi.org/10.1029/2005jd006017, 2006.
Gitelson, A. A., Viña, A., Masek, J. G., Verma, S. B., Suyker, A. E., Viña, A., Masek, J. G., Verma, S. B., and Suyker, A. E.: Synoptic monitoring of gross primary productivity of maize using Landsat data, IEEE Geosci. Remote S., 5, 133–137, https://doi.org/10.1109/lgrs.2008.915598, 2008.
Gitelson, A. A., Peng, Y., Masek, J. G., Rundquist, D. C., Verma, S., Suyker, A., Baker, J. M., Hatfield, J. L., and Meyers, T.: Remote estimation of crop gross primary production with Landsat data, Remote Sens. Environ., 121, 404–414, https://doi.org/10.1016/j.rse.2012.02.017, 2012.
Göckede, M., Foken, T., Aubinet, M., Aurela, M., Banza, J., Bernhofer, C., Bonnefond, J. M., Brunet, Y., Carrara, A., Clement, R., Dellwik, E., Elbers, J., Eugster, W., Fuhrer, J., Granier, A., Grünwald, T., Heinesch, B., Janssens, I. A., Knohl, A., Koeble, R., Laurila, T., Longdoz, B., Manca, G., Marek, M., Markkanen, T., Mateus, J., Matteucci, G., Mauder, M., Migliavacca, M., Minerbi, S., Moncrieff, J., Montagnani, L., Moors, E., Ourcival, J.-M., Papale, D., Pereira, J., Pilegaard, K., Pita, G., Rambal, S., Rebmann, C., Rodrigues, A., Rotenberg, E., Sanz, M. J., Sedlak, P., Seufert, G., Siebicke, L., Soussana, J. F., Valentini, R., Vesala, T., Verbeeck, H., and Yakir, D.: Quality control of CarboEurope flux data – Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems, Biogeosciences, 5, 433–450, https://doi.org/10.5194/bg-5-433-2008, 2008.
Goulden, M. L.: Carbon assimilation and water-use efficiency by neighboring Mediterranean-climate oaks that differ in water access, Tree Physiol., 16, 417–424, 1996.
Grace, J., San Jose, J., Meir, P., Miranda, H. S., Montes, R. A., José, J. S., Meir, P., Miranda, H. S., and Montes, R. A.: Productivity and carbon fluxes of tropical savannas, J. Biogeogr., 33, 387–400, https://doi.org/10.1111/j.1365-2699.2005.01448.x, 2006.
Guan, K., Pan, M., Li, H., Wolf, A., Wu, J., Medvigy, D., Caylor, K. K., Sheffield, J., Wood, E. F., Malhi, Y., Liang, M., Kimball, J. S., Saleska, S. R., Berry, J., Joiner, J., and Lyapustin, A. I.: Photosynthetic seasonality of global tropical forests constrained by hydroclimate, Nat. Geosci., 8, 284–289, https://doi.org/10.1038/ngeo2382, 2015.
Guanter, L., Alonso, L., Gómez-Chova, L., Amorós-López, J., Vila, J., and Moreno, J.: Estimation of solar-induced vegetation fluorescence from space measurements, Geophys. Res. Lett., 34, L08401, https://doi.org/10.1029/2007GL029289, 2007.
Guanter, L., Aben, I., Tol, P., Krijger, J. M., Hollstein, A., Köhler, P., Damm, A., Joiner, J., Frankenberg, C., and Landgraf, J.: Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence, Atmos. Meas. Tech., 8, 1337–1352, https://doi.org/10.5194/amt-8-1337-2015, 2015.
Harris, A. and Dash, J.: The potential of the MERIS terrestrial chlorophyll index for carbon flux estimation, Remote Sens. Environ., 114, 1856–1862, https://doi.org/10.1016/j.rse.2010.03.010, 2010.
Harris, A., Gamon, J. A., Pastorello, G. Z., and Wong, C. Y. S.: Retrieval of the photochemical reflectance index for assessing xanthophyll cycle activity: a comparison of near-surface optical sensors, Biogeosciences, 11, 6277–6292, https://doi.org/10.5194/bg-11-6277-2014, 2014.
Heiskanen, J., Rautiainen, M., Stenberg, P., Mõttus, M., and Vesanto, V.-H.: Sensitivity of narrowband vegetation indices to boreal forest LAI, reflectance seasonality and species composition, ISPRS J. Photogramm., 78, 1–14, https://doi.org/10.1016/j.isprsjprs.2013.01.001, 2013.
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, Comput. Electron. Agr., 56, 72–84, https://doi.org/10.1016/j.compag.2007.01.003, 2007.
Hilker, T., Coops, N. C., Wulder, M. A., Black, T. A., and Guy, R. D.: The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements, Sci. Total Environ., 404, 411–423, https://doi.org/10.1016/j.scitotenv.2007.11.007, 2008a.
Hilker, T., Coops, N. C., Hall, F. G., Black, T. A., Wulder, M. A., Nesic, Z., and Krishnan, P.: Separating physiologically and directionally induced changes in PRI using BRDF models, Remote Sens. Environ., 112, 2777–2788, https://doi.org/10.1016/j.rse.2008.01.011, 2008b.
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., 113, 2463–2475, https://doi.org/10.1016/j.rse.2009.07.012, 2009.
Hilker, T., Nesic, Z., Coops, N. C., and Lessard, D.: A new, automated, multiangular radiometer instrument for tower-based observations of canopy reflectance (Amspec II), Instrum. Sci. Technol., 38, 319–340, https://doi.org/10.1080/10739149.2010.508357, 2010.
Huber, S., Tagesson, T., and Fensholt, R.: An automated field spectrometer system for studying VIS, NIR and SWIR anisotropy for semi-arid savanna, Remote Sens. Environ., 152, 547–556, https://doi.org/10.1016/j.rse.2014.06.007, 2014.
Hueni, A. and Tuohy, M.: Spectroradiometer data structuring, pre-processing and analysis – an IT based approach, J. Spat. Sci., 51, 93–102, https://doi.org/10.1080/14498596.2006.9635084, 2006.
Hueni, A., Nieke, J., Schopfer, J., Kneubühler, M., and Itten, K.: The spectral database SPECCHIO for improved long term usability and data sharing, Comput. Geosci., 35, 557–565, 2009.
Hueni, A., Chisholm, L., Suarez, L., Ong, C., and Wyatt, M.: Spectral information system development for Australia, in: Proceedings of the 2nd Geospatial Science Research Symposium, Melbourne, Australia, December, 2012.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G.: Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83, 195–213, https://doi.org/10.1016/S0034-4257(02)00096-2, 2002.
Inoue, Y., Peñuelas, J., Miyata, A., and Mano, M.: Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice, Remote Sens. Environ., 112, 156–172, https://doi.org/10.1016/j.rse.2007.04.011, 2008.
Jin, H. and Eklundh, L.: A physically based vegetation index for improved monitoring of plant phenology, Remote Sens. Environ., 152, 512–525, https://doi.org/10.1016/j.rse.2014.07.010, 2014.
Jin, H. and Eklundh, L.: In situ calibration of light sensors for long-term monitoring of vegetation, IEEE T. Geosci. Remote, 53, 3405–3416, 2015.
Joiner, J., Yoshida, Y., Vasilkov, A. P., Yoshida, Y., Corp, L. A., and Middleton, E. M.: First observations of global and seasonal terrestrial chlorophyll fluorescence from space, Biogeosciences, 8, 637–651, https://doi.org/10.5194/bg-8-637-2011, 2011.
Jones, H. G. and Vaughan, R. A.: Remote sensing of vegetation: Principles, techniques, and applications, Oxford University Press, Oxford, 353 pp., 2010.
Joos, F., Prentice, I. C., Sitch, S., Meyer, R., Hooss, G., Plattner, G.-K., Gerber, S., and Hasselmann, K.: Global warming feedbacks on terrestrial carbon uptake under the Intergovernmental Panel on Climate Change (IPCC) emission scenarios, Global Biogeochem. Cy., 15, 891–907, https://doi.org/10.1029/2000gb001375, 2001.
Ju, J., Gopal, S., and Kolaczyk, E. D.: On the choice of spatial and categorical scale in remote sensing land cover classification, Remote Sens. Environ., 96, 62–77, https://doi.org/10.1016/j.rse.2005.01.016, 2005.
Julitta, T.: Optical proximal sensing for vegetation monitoring, Phd thesis, Faculty of Mathematical, Physical and Natural Sciences, Department of Environmental and Earth Sciences, University of Milano-Bicocca, Milan, Italy, 136 pp., 2015.
Jung, A., Götze, C., and Glässer, C.: Overview of experimental setups in spectroscopic laboratory measurements – the SpecTour Project, Photogramm. Fernerkun., 4, 0433–0442, https://doi.org/10.1127/1432-8364/20/0129, 2012.
Jung, M., Reichstein, M., Margolis, H. A., Cescatti, A., Richardson, A. D., Arain, M. A., Arneth, A., Bernhofer, C., Bonal, D., Chen, J., Gianelle, D., Gobron, N., Kiely, G., Kutsch, W., Lasslop, G., Law, B. E., Lindroth, A., Merbold, L., Montagnani, L., Moors, E. J., Papale, D., Sottocornola, M., Vaccari, F., and Williams, C.: Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, J. Geophys. Res.-Biogeo., 116, G00J07, https://doi.org/10.1029/2010jg001566, 2011.
Karpouzli, E., Malthus, T., Place, C., Mitchell, C. A., Garcia, M. I., and Mair, J. D.: Underwater light characterisation for correction of remotely sensed images, Int. J. Remote Sens., 24, 2683–2702, 2003.
Keenan, T. F., Davidson, E., Moffat, A. M., Munger, W., and Richardson, A. D.: Using model-data fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling, Glob. Change Biol., 18, 2555–2569, https://doi.org/10.1111/j.1365-2486.2012.02684.x, 2012.
Knyazikhin, Y., Schull, M. A., Stenberg, P., Mõttus, M., Rautiainen, M., Yang, Y., Marshak, A., Latorre Carmona, P., Kaufmann, R. K., Lewis, P., Disney, M. I., Vanderbilt, V., Davis, A. B., Baret, F., Jacquemoud, S., Lyapustin, A., and Myneni, R. B.: Hyperspectral remote sensing of foliar nitrogen content, P. Natl. Acad. Sci. USA, 110, E185–E192, https://doi.org/10.1073/pnas.1210196109, 2013.
Kormann, R. and Meixner, F. X.: An analytical footprint model for non-neutral stratification, Bound.-Lay Meteorol., 99, 207–224, https://doi.org/10.1023/a:1018991015119, 2001.
Lagergren, F., Eklundh, L., Grelle, A., Lundblad, M., Molder, M., Lankreijer, H., and Lindroth, A.: Net primary production and light use efficiency in a mixed coniferous forest in Sweden, Plant, Cell Environ., 28, 412–423, https://doi.org/10.1111/j.1365-3040.2004.01280.x, 2005.
Le Maire, G., François, C., Soudani, K., Berveiller, D., Pontailler, J. Y., Bréda, N., Genet, H., Davi, H., and Dufrêne, E.: Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass, Remote Sens. Environ., 112, 3846–3864, https://doi.org/10.1016/j.rse.2008.06.005, 2008.
Mac Arthur, A., MacLellan, C. J., and Malthus, T.: The fields of view and directional response functions of two field spectroradiometers, IEEE T. Geosci. Remote, 50, 3892–3907, 2012.
Mac Arthur, A., Alonso, L., Malthus, T., and Moreno, J.: Spectroscopy field strategies and their effect on measurements of heterogeneous and homogeneous earth surfaces, in: Proceedings of the 2013 Living Planet Symposium, 9–13 September, Edinburgh, UK, 2013.
Mac Arthur, A., Robinson, I., Rossini, M., Davis, N., and MacDonald, K.: A dual-field-of-view spectrometer system for reflectance and fluorescence measurements (Piccolo Doppio) and correction of etaloning, in: Proceedings of the Fifth International Workshop on Remote Sensing of Vegetation Fluorescence, 22–24 April, E. S. Agency, Paris, France, 2014.
Malthus, T. J. and MacLellan, C. J.: High performance fore optic accessories and tools for reflectance and radiometric measurements with the ASD FieldSpec 3 Spectroradiometer, in: Art, Science and Applications of Reflectance Spectroscopy Scientific Symposium, Boulder, Colorado, 23–25 February 2010, 1–5, 2010.
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.
Meroni, M., Barducci, A., Cogliati, S., Castagnoli, F., Rossini, M., Busetto, L., Migliavacca, M., Cremonese, E., Galvagno, M., Colombo, R., and Di Cella, U. M.: The hyperspectral irradiometer, a new instrument for long-term and unattended field spectroscopy measurements, Rev. Sci. Instrum., 82, 43106, https://doi.org/10.1063/1.3574360, 2011.
Milton, E. J., Schaepman, M. E., Anderson, K., Kneubühler, M., and Fox, N.: Progress in field spectroscopy, Remote Sens. Environ., 113, S92–S109, https://doi.org/10.1016/j.rse.2007.08.001, 2009.
Monteith, J. L.: Solar radiation and productivity in tropical ecosystems, J. Appl. Ecol., 9, 747–766, https://doi.org/10.2307/2401901, 1972.
Morton, D. C., Nagol, J., Carabajal, C. C., Rosette, J., Palace, M., Cook, B. D., Vermote, E. F., Harding, D. J., and North, P. R. J.: Amazon forests maintain consistent canopy structure and greenness during the dry season, Nature, 506, 221–224, https://doi.org/10.1038/nature13006, 2014.
Murphy, R. J., Tolhurst, T. J., Chapman, M. G., and Underwood, A. J.: Estimation of surface chlorophyll-a on an emersed mudflat using field spectrometry: accuracy of ratios and derivative-based approaches, Int. J. Remote Sens., 26, 1835–1859, https://doi.org/10.1080/01431160512331326530, 2005.
Myneni, R. B. and Williams, D. L.: On the relationship between FAPAR and NDVI, Remote Sens. Environ., 49, 200–211, 1994.
Nichol, C. J. and Grace, J.: Determination of leaf pigment content in Calluna vulgaris shoots from spectral reflectance, Int. J. Remote Sens., 31, 5409–5422, https://doi.org/10.1080/01431160903302957, 2010.
Nichol, C. J., Lloyd, J. O. N., Shibistova, O., Arneth, A., Röser, C., Knohl, A., Matsubara, S., and Grace, J.: Remote sensing of photosynthetic-light-use efficiency of a Siberian boreal forest, Tellus B, 54, 677–687, https://doi.org/10.1034/j.1600-0889.2002.01347.x, 2002.
Nicodemus, F., Richmond, J., and Hsia, J.: Geometrical considerations and nomenclature for reflectance, Sci. Technol., 60, 1–52, https://doi.org/10.1109/LPT.2009.2020494, 1977.
Norton, P.: Photodetectors, in Handbook of Optics, volume II, edited by: Bass, M., Mahajan, V., and Stryland, E., The McGraw-Hill Companies, New York, 2010.
Olofsson, P. and Eklundh, L.: Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: Modeling and evaluating the fractional absorption, Remote Sens. Environ., 110, 240–251, https://doi.org/10.1016/j.rse.2007.02.020, 2007.
Olsson, A. D., van Leeuwen, W. J. D. D., and Marsh, S. E.: Feasibility of invasive grass detection in a desertscrub community using hyperspectral field measurements and Landsat TM imagery, Remote Sens., 3, 2283–2304, https://doi.org/10.3390/rs3102283, 2011.
Oren, R. A. M., Hsieh, C.-I., Stoy, P., Albertson, J., McCarthy, H. R., Harrell, P., and Katul, G. G.: Estimating the uncertainty in annual net ecosystem carbon exchange: spatial variation in turbulent fluxes and sampling errors in eddy-covariance measurements, Glob. Change Biol., 12, 883–896, https://doi.org/10.1111/j.1365-2486.2006.01131.x, 2006.
Pacheco-Labrador, J. and Martin, M. P.: Nonlinear response in a field portable spectroradiometer: Characterization and effects on output reflectance, IEEE T. Geosci. Remote, 52, 920–928, https://doi.org/10.1109/tgrs.2013.2245671, 2014.
Pacheco-Labrador, J. and Martín, M. P.: Characterization of a field spectroradiometer for unattended vegetation monitoring. Key sensor models and impacts on reflectance, Sensors, 15, 4154–4175, https://doi.org/10.3390/s150204154, 2015.
Pacheco-Labrador, J., Ferrero, A., and Martín, M. P.: Characterizing integration time and gray-level-related nonlinearities in a NMOS sensor, Appl. Optics, 53, 7778–7786, https://doi.org/10.1364/ao.53.007778, 2014.
Pacheco-Labrador, J., Martín, M.P., Rossini, M., de Miguel, E., and Zarco-Tejada, P.: Relaciones espacio-temporales entre los datos ópticos adquiridos por el sensor hiperespectral CASI y flujos de carbono en un ecosistema de dehesa, XVI Congreso de la Asociación Española de Teledetección, 21–23 October, 2015 (in Spanish).
Peng, Y. and Gitelson, A. A.: Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content, Remote Sens. Environ., 117, 440–448, https://doi.org/10.1016/j.rse.2011.10.021, 2012.
Pfitzner, K., Bartolo, R., Carr, G., Esparon, A., and Bollhöfer, A.: Standards for reflectance spectral measurement of temporal vegetation plots, Supervising Scientist Report 195, 1325–1554, Supervising Scientist, Darwin NT, Australia, 2011.
Piao, S. L., Sitch, S., Ciais, P., Friedlingstein, P., Peylin, P., Wang, X. H., Ahlstrom, A., Anav, A., Canadell, J. G., Cong, N., Huntingford, C., Jung, M., Levis, S., Levy, P. E., Li, J. S., Lin, X., Lomas, M. R., Lu, M., Luo, Y. Q., Ma, Y. C., Myneni, R. B., Poulter, B., Sun, Z. Z., Wang, T., Viovy, N., Zaehle, S., and Zeng, N.: Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends, Glob. Change Biol., 19, 2117–2132, https://doi.org/10.1111/gcb.12187, 2013.
Porcar-Castell, A., Garcia-Plazaola, J. I., Nichol, C. J., Kolari, P., Olascoaga, B., Kuusinen, N., Fernandez-Marin, B., Pulkkinen, M., Juurola, E., and Nikinmaa, E.: Physiology of the seasonal relationship between the photochemical reflectance index and photosynthetic light use efficiency, Oecologia, 170, 313–323, https://doi.org/10.1007/s00442-012-2317-9, 2012.
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.
Reichstein, M., Bahn, M., Mahecha, M. D., Kattge, J., and Baldocchi, D. D.: Linking plant and ecosystem functional biogeography, P. Natl. Acad. Sci. USA, 111, 13697–13702, https://doi.org/10.1073/pnas.1216065111, 2014.
Richter, R., Wang, X., Bachmann, M., and Schläpfer, D.: Correction of cirrus effects in Sentinel-2 type of imagery, Int. J. Remote Sens., 32, 2931–2941, 2011.
Roberts, G.: A review of the application of BRDF models to infer land cover parameters at regional and global scales, Prog. Phys. Geog., 25, 483–511, 2001.
Rossini, M., Meroni, M., Migliavacca, M., Manca, G., Cogliati, S., Busetto, L., Picchi, V., Cescatti, A., Seufert, G., and Colombo, R.: High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field, Agr. Forest Meteorol., 150, 1283–1296, https://doi.org/10.1016/j.agrformet.2010.05.011, 2010.
Rossini, M., Cogliati, S., Meroni, M., Migliavacca, M., Galvagno, M., Busetto, L., Cremonese, E., Julitta, T., Siniscalco, C., Morra di Cella, U., and Colombo, R.: Remote sensing-based estimation of gross primary production in a subalpine grassland, Biogeosciences, 9, 2565–2584, https://doi.org/10.5194/bg-9-2565-2012, 2012.
Rossini, M., Migliavacca, M., Galvagno, M., Meroni, M., Cogliati, S., Cremonese, E., Fava, F., Gitelson, A., Julitta, T., Morra di Cella, U., Siniscalco, C., and Colombo, R.: Remote estimation of grassland gross primary production during extreme meteorological seasons, Int. J. Appl. Earth Obs., 29, 1–10, https://doi.org/10.1016/j.jag.2013.12.008, 2014.
Rossini, M., Nedbal, L., Guanter, L., Ač, A., Alonso, L., Burkart, A., Cogliati, S., Colombo, R., Damm, A., Drusch, M., Hanus, J., Janoutova, R., Julitta, T., Kokkalis, P., Moreno, J., Novotny, J., Panigada, C., Pinto, F., Schickling, A., Schüttemeyer, D., Zemek, F., and Rascher, U.: Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis, Geophys. Res. Lett., 42, 1632–1639, https://doi.org/10.1002/2014gl062943, 2015.
Rouse, J. W., Haas, R. H., Schell, J. A., and Deering, D. W.: Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation, Progress Report, Goddard Space Flight Center, Greenbelt, Maryland, 112 pp., 1973.
Ruimy, A., Saugier, B., and Dedieu, G.: Methodology for the estimation of terrestrial net primary production from remotely sensed data, J. Geophys. Res.-Atmos., 99, 5263–5283, 1994.
Running, S. W., Nemani, R. R., Heinsch, F. A., Zhao, M. S., Reeves, M., and Hashimoto, H.: A continuous satellite-derived measure of global terrestrial primary production, BioScience, 54, 547–560, https://doi.org/10.1641/0006-3568(2004)054[0547:acsmog]2.0.co;2, 2004.
Ryu, Y., Baldocchi, D. D., Verfaillie, J., Ma, S., Falk, M., Ruiz-Mercado, I., Hehn, T., and Sonnentag, O.: Testing the performance of a novel spectral reflectance sensor, built with light emitting diodes (LEDs), to monitor ecosystem metabolism, structure and function, Agr. Forest Meteorol., 150, 1597–1606, 2010.
Saber, S. G. R., Fox, N. P., Theocharous, E., Sun, T., and Grattan, K. T. V: Temperature and nonlinearity corrections for a photodiode array spectrometer used in the field, Appl. Optics, 50, 866–875, https://doi.org/10.1364/ao.50.000866, 2011.
Sakowska, K., Vescovo, L., Marcolla, B., Juszczak, R., Olejnik, J., and Gianelle, D.: Monitoring of carbon dioxide fluxes in a subalpine grassland ecosystem of the Italian Alps using a multispectral sensor, Biogeosciences, 11, 4695–4712, https://doi.org/10.5194/bg-11-4695-2014, 2014.
Sakowska, K., Gianelle, D., Zaldei, A., Macarthur, A., Carotenuto, F., Miglietta, F., Zampedri, R., Cavagna, M., and Vescovo, L.: WhiteRef: A new tower-based hyperspectral system for continuous reflectance measurements, Sensors, 15, 1088–1105, https://doi.org/10.3390/s150101088, 2015.
Schaepman-Strub, G., Schaepman, M. E. E., Painter, T. H. H., Dangel, S., and Martonchik, J. V. V: Reflectance quantities in optical remote sensing–definitions and case studies, Remote Sens. Environ., 103, 27–42, https://doi.org/10.1016/j.rse.2006.03.002, 2006.
Schimel, D., Pavlick, R., Fisher, J. B., Asner, G. P., Saatchi, S., Townsend, P., Miller, C., Frankenberg, C., Hibbard, K., and Cox, P.: Observing terrestrial ecosystems and the carbon cycle from space, Glob. Change Biol., 21, 1762–1776, https://doi.org/10.1111/gcb.12822, 2015.
Schmid, H. P.: Footprint modeling for vegetation atmosphere exchange studies: a review and perspective, Agr. Forest Meteorol., 113, 159–183, https://doi.org/10.1016/S0168-1923(02)00107-7, 2002.
Schubert, P., Eklundh, L., Lund, M., and Nilsson, M.: Estimating northern peatland CO2 exchange from MODIS time series data, Remote Sens. Environ., 114, 1178–1189, https://doi.org/10.1016/j.rse.2010.01.005, 2010.
Schubert, P., Lagergren, F., Aurela, M., Christensen, T., Grelle, A., Heliasz, M., Klemedtsson, L., Lindroth, A., Pilegaard, K., Vesala, T., and Eklundh, L.: Modeling GPP in the Nordic forest landscape with MODIS time series data-Comparison with the MODIS GPP product, Remote Sens. Environ., 126, 136–147, https://doi.org/10.1016/j.rse.2012.08.005, 2012.
Simic, A., Chen, J. M., Liu, J., and Csillag, F.: Spatial scaling of net primary productivity using subpixel information, Remote Sens. Environ., 93, 246–258, https://doi.org/10.1016/j.rse.2004.07.008, 2004.
Sims, D. A., Luo, H., Hastings, S., Oechel, W. C., Rahman, A. F., and Gamon, J. A.: Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a Southern California chaparral ecosystem, Remote Sens. Environ., 103, 289–303, 2006.
Sjöström, M., Ardö, J., Arneth, A., Boulain, N., Cappelaere, B., Eklundh, L., de Grandcourt, A., Kutsch, W. L., Merbold, L., and Nouvellon, Y.: Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems, Remote Sens. Environ., 115, 1081–1089, https://doi.org/10.1016/j.rse.2010.12.013, 2011.
Soudani, K. and François, C.: Remote sensing: A green illusion, Nature, 506, 165–166, https://doi.org/10.1038/nature13052, 2014.
Tagesson, T., Fensholt, R., Guiro, I., Rasmussen, M. O., Huber, S., Mbow, C., Garcia, M., Horion, S., Sandholt, I., Holm-Rasmussen, B., Göttsche, F. M., Ridler, M.-E., Olén, N., Lundegard Olsen, J., Ehammer, A., Madsen, M., Olesen, F. S., and Ardö, J.: Ecosystem properties of semiarid savanna grassland in West Africa and its relationship with environmental variability, Glob. Change Biol., 21, 250–264, https://doi.org/10.1111/gcb.12734, 2015.
Tan, B., Woodcock, C. E. E., Hu, J., Zhang, P., Ozdogan, M., Huang, D., Yang, W., Knyazikhin, Y., and Myneni, R. B. B.: The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions, Remote Sens. Environ., 105, 98–114, https://doi.org/10.1016/j.rse.2006.06.008, 2006.
Thenkabail, P. S., Smith, R. B., Pauw, E., and De Pauw, E.: Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization, Photogramm. Eng. Rem. S., 68, 607–621, 2002.
Townsend, P. A, Serbin, S. P., Kruger, E. L., and Gamon, J. A.: Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data, P. Natl. Acad. Sci. USA, 110, E1074–E1074, https://doi.org/10.1073/pnas.1300952110, 2013.
Tramontana, G., Ichii, K., Camps-Valls, G., Tomelleri, E., and Papale, D.: Uncertainty analysis of gross primary production upscaling using random forests, remote sensing and eddy covariance data, Remote Sens. Environ., 168, 360–373, 2015.
Tucker, C. J.: Red and photographic infrared linear combinations for monitoring vegetation, Remote Sens. Environ., 8, 127–150, 1979.
Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, T., and Leclerc, M. Y.: Flux and concentration footprint modelling: State of the art, Environ. Pollut., 152, 653–666, https://doi.org/10.1016/j.envpol.2007.06.070, 2008.
Vescovo, L. and Sakowska, K.: Modelling the spatial distribution of CO2 fluxes in a subalpine grassland plateau of the italian Alps using multiple airborne AISA eagle hyperspectral sensor observations and Sentinel-2 simulated data, AGU Fall Meeting, 14–18 December 2015, Abstract Number 79938, 2015.
Wang, Q., Li, P., Pu, Z., and Chen, X.: Calibration and validation of salt-resistant hyperspectral indices for estimating soil moisture in arid land, J. Hydrol., 408, 276–285, https://doi.org/10.1016/j.jhydrol.2011.08.012, 2011.
Whitehead, K. and Hugenholtz, C. H.: Remote sensing of the environment with small unmanned aircraft systems (UASs), Part 1: A review of progress and challenges, Journal of Unmanned Vehicle Systems, 2, 69–85, 2014.
Wong, C. Y. S. and Gamon, J. A.: The photochemical reflectance index provides an optical indicator of spring photosynthetic activation in evergreen conifers, New Phytol., 206, 196–208, https://doi.org/10.1111/nph.13251, 2015.
Wu, H. and Li, Z.-L.: Scale issues in remote sensing: a review on analysis, processing and modeling, Sensors, 9, 1768–1793, https://doi.org/10.3390/s90301768, 2009.
Xiao, J., Zhuang, Q., Law, B. E., Chen, J., Baldocchi, D. D., Cook, D. R., Oren, R., Richardson, A. D., Wharton, S., Ma, S., Timothy, A. M., Shashi, B. V., Suyjer, A. E., Scott, R. L., Monson, R. K., Litvak, M., Hollinger, David, Y., Sun, G., Davis, K. J., Bolstad, P. V., Burns, S. P., Curtis, P. S., Drake, B. G., Falk, M., Fischer, M. L., Foster, D. R., Gu, L., Hadley, J. L., Katul, G. G., Matamala, R., McNulty, S., Meyers, T. P., Munger, J. W., Noormets, A., Oechel, W. C., Paw, U., K. T., Schmid, H. P., Starr, G., Torn, M. S., and Wofsy, S. C.: A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data, Remote Sens. Environ., 114, 576–591, https://doi.org/10.1016/j.rse.2009.10.013, 2010.
Xiao, X., Hollinger, D., Aber, J., Goltz, M., Davidson, E. A., Zhang, Q., and Moore Iii, B.: Satellite-based modeling of gross primary production in an evergreen needleleaf forest, Remote Sens. Environ., 89, 519–534, https://doi.org/10.1016/j.rse.2003.11.008, 2004a.
Xiao, X., Zhang, Q., Braswell, B., Urbanski, S., Boles, S., Wofsy, S., Moore Iii, B., and Ojima, D.: 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, 2004b.
Yao, X., Zhu, Y., Tian, Y., Feng, W., and Cao, W.: Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat, Int. J. Appl. Earth Obs., 12, 89–100, https://doi.org/10.1016/j.jag.2009.11.008, 2010.
Zanotelli, D., Montagnani, L., Manca, G., Scandellari, F., and Tagliavini, M.: Net ecosystem carbon balance of an apple orchard, Eur. J. Agron., 63, 97–104, https://doi.org/10.1016/j.eja.2014.12.002, 2015.
Zarco-Tejada, P. J., Morales, A., Testi, L., and Villalobos, F. J.: Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance, Remote Sens. Environ., 133, 102–115, 2013a.
Zarco-Tejada, P. J., Suárez, L., and González-Dugo, V.: Spatial resolution effects on chlorophyll fluorescence retrievals in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation, IEEE Geosci. Remote S., 10, 937–941, 2013b.
Zhao, M. S., Heinsch, F. A., Nemani, R. R., and Running, S. W.: Improvements of the MODIS terrestrial gross and net primary production global data set, Remote Sens. Environ., 95, 164–176, https://doi.org/10.1016/j.rse.2004.12.011, 2005.
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