Articles | Volume 12, issue 13
https://doi.org/10.5194/bg-12-4149-2015
© 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-12-4149-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Jul 2015
Research article |
| 14 Jul 2015
Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors
J. A. Gamon
CORRESPONDING AUTHOR
Department of Earth & Atmospheric Sciences, 1-26 Earth Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
O. Kovalchuck
Department of Earth & Atmospheric Sciences, 1-26 Earth Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
C. Y. S. Wong
Department of Earth & Atmospheric Sciences, 1-26 Earth Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
current address: Department of Biology, 3359 Mississauga Road, University of Toronto Mississauga, Mississauga, L5L 1C6, Canada
A. Harris
Geography, School of Environment, Education and Development, University of Manchester, Manchester, UK
S. R. Garrity
Decagon Devices, Inc., 2365 NE Hopkins Court, Pullman, Washington 99163, USA
Related authors
J. A. Gamon
Biogeosciences, 12, 4509–4523, https://doi.org/10.5194/bg-12-4509-2015, https://doi.org/10.5194/bg-12-4509-2015, 2015
Short summary
Short summary
Optical sampling expands our understanding of the "breathing" of terrestrial ecosystems beyond what is possible by eddy covariance alone. The light-use efficiency (LUE) model provides a useful conceptual framework for integrating optical and CO2 flux measurements. Contrasting optical and flux behavior can reveal distinct optical types that provide key information on flux controls. Practical applications include assessment of ecosystem health, productivity, and biospheric carbon sequestration.
J. A. Gamon
Biogeosciences, 12, 4509–4523, https://doi.org/10.5194/bg-12-4509-2015, https://doi.org/10.5194/bg-12-4509-2015, 2015
Short summary
Short summary
Optical sampling expands our understanding of the "breathing" of terrestrial ecosystems beyond what is possible by eddy covariance alone. The light-use efficiency (LUE) model provides a useful conceptual framework for integrating optical and CO2 flux measurements. Contrasting optical and flux behavior can reveal distinct optical types that provide key information on flux controls. Practical applications include assessment of ecosystem health, productivity, and biospheric carbon sequestration.
A. Harris, J. A. Gamon, G. Z. Pastorello, and C. Y. S. Wong
Biogeosciences, 11, 6277–6292, https://doi.org/10.5194/bg-11-6277-2014, https://doi.org/10.5194/bg-11-6277-2014, 2014
Short summary
Short summary
Lower-cost optical sensors, which can be left outdoors, are often used to provide information regarding plant photosynthetic activity. A lower-cost sensor was compared with an expensive instrument to see if the data collected were comparable. Both instruments were able to track changes in photosynthetic activity, but the values recorded by each were different. This can cause difficulties when comparing data across space and time. We provide advice on how best to use these sensors in the field.
Related subject area
Biogeochemistry: Bio-Optics
Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea
Estimating the seasonal impact of optically significant water constituents on surface heating rates in the western Baltic Sea
Variability of light absorption coefficients by different size fractions of suspensions in the southern Baltic Sea
Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis
Comment on “Fundamental molecules of life are pigments which arose and co-evolved as a response to the thermodynamic imperative of dissipating the prevailing solar spectrum” by K. Michaelian and A. Simeonov (2015)
A limited effect of sub-tropical typhoons on phytoplankton dynamics
The suspended small-particle layer in the oxygen-poor Black Sea: a proxy for delineating the effective N2-yielding section
Diel quenching of Southern Ocean phytoplankton fluorescence is related to iron limitation
A global end-member approach to derive aCDOM(440) from near-surface optical measurements
Floodwater impact on Galveston Bay phytoplankton taxonomy, pigment composition and photo-physiological state following Hurricane Harvey from field and ocean color (Sentinel-3A OLCI) observations
Diurnal regulation of photosynthetic light absorption, electron transport and carbon fixation in two contrasting oceanic environments
Bio-optical characterization of subsurface chlorophyll maxima in the Mediterranean Sea from a Biogeochemical-Argo float database
Carbon Flux Explorer optical assessment of C, N and P fluxes
Phytoplankton size class in the East China Sea derived from MODIS satellite data
An estuarine-tuned quasi-analytical algorithm (QAA-V): assessment and application to satellite estimates of SPM in Galveston Bay following Hurricane Harvey
Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index
Modelling ocean-colour-derived chlorophyll a
Optical properties of size fractions of suspended particulate matter in littoral waters of Québec
Methods to retrieve the complex refractive index of aquatic suspended particles: going beyond simple shapes
Changes in optical characteristics of surface microlayers hint to photochemically and microbially mediated DOM turnover in the upwelling region off the coast of Peru
Quantifying the biological impact of surface ocean light attenuation by colored detrital matter in an ESM using a new optical parameterization
Autonomous profiling float observations of the high-biomass plume downstream of the Kerguelen Plateau in the Southern Ocean
A simple optical index shows spatial and temporal heterogeneity in phytoplankton community composition during the 2008 North Atlantic Bloom Experiment
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications
Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea
Absorption and fluorescence properties of chromophoric dissolved organic matter of the eastern Bering Sea in the summer with special reference to the influence of a cold pool
A synthesis of light absorption properties of the Arctic Ocean: application to semianalytical estimates of dissolved organic carbon concentrations from space
Influence of the Changjiang River on the light absorption properties of phytoplankton from the East China Sea
On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea
Contribution to a bio-optical model for remote sensing of Lena River water
Light absorption and partitioning in Arctic Ocean surface waters: impact of multiyear ice melting
Biogeochemical origins of particles obtained from the inversion of the volume scattering function and spectral absorption in coastal waters
Apparent optical properties of the Canadian Beaufort Sea – Part 1: Observational overview and water column relationships
Apparent optical properties of the Canadian Beaufort Sea – Part 2: The 1% and 1 cm perspective in deriving and validating AOP data products
Increasing cloudiness in Arctic damps the increase in phytoplankton primary production due to sea ice receding
Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space
Variations of net primary productivity and phytoplankton community composition in the Indian sector of the Southern Ocean as estimated from ocean color remote sensing data
Spectroscopic detection of a ubiquitous dissolved pigment degradation product in subsurface waters of the global ocean
Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data
Tracing the transport of colored dissolved organic matter in water masses of the Southern Beaufort Sea: relationship with hydrographic characteristics
Bio-optical provinces in the eastern Atlantic Ocean and their biogeographical relevance
Inferring phytoplankton carbon and eco-physiological rates from diel cycles of spectral particulate beam-attenuation coefficient
Characterization of the bio-optical anomaly and diurnal variability of particulate matter, as seen from scattering and backscattering coefficients, in ultra-oligotrophic eddies of the Mediterranean Sea
MODIS observed phytoplankton dynamics in the Taiwan Strait: an absorption-based analysis
Global variability of phytoplankton functional types from space: assessment via the particle size distribution
Optical Characterization of an Eddy-induced Diatom Bloom West of the Island of Hawaii
The dissolved yellow substance and the shades of blue in the Mediterranean Sea
Eva Álvarez, Gianpiero Cossarini, Anna Teruzzi, Jorn Bruggeman, Karsten Bolding, Stefano Ciavatta, Vincenzo Vellucci, Fabrizio D'Ortenzio, David Antoine, and Paolo Lazzari
Biogeosciences, 20, 4591–4624, https://doi.org/10.5194/bg-20-4591-2023, https://doi.org/10.5194/bg-20-4591-2023, 2023
Short summary
Short summary
Chromophoric dissolved organic matter (CDOM) interacts with the ambient light and gives the waters of the Mediterranean Sea their colour. We propose a novel parameterization of the CDOM cycle, whose parameter values have been optimized by using the data of the monitoring site BOUSSOLE. Nutrient and light limitations for locally produced CDOM caused aCDOM(λ) to covary with chlorophyll, while the above-average CDOM concentrations observed at this site were maintained by allochthonous sources.
Bronwyn E. Cahill, Piotr Kowalczuk, Lena Kritten, Ulf Gräwe, John Wilkin, and Jürgen Fischer
Biogeosciences, 20, 2743–2768, https://doi.org/10.5194/bg-20-2743-2023, https://doi.org/10.5194/bg-20-2743-2023, 2023
Short summary
Short summary
We quantify the impact of optically significant water constituents on surface heating rates and thermal energy fluxes in the western Baltic Sea. During productive months in 2018 (April to September) we found that the combined effect of coloured
dissolved organic matter and particulate absorption contributes to sea surface heating of between 0.4 and 0.9 K m−1 d−1 and a mean loss of heat (ca. 5 W m−2) from the sea to the atmosphere. This may be important for regional heat balance budgets.
Justyna Meler, Dagmara Litwicka, and Monika Zabłocka
Biogeosciences, 20, 2525–2551, https://doi.org/10.5194/bg-20-2525-2023, https://doi.org/10.5194/bg-20-2525-2023, 2023
Short summary
Short summary
We present a variability of absorption properties by different size fractions of particles suspended in the Baltic Sea waters. The light absorption coefficient by all suspended particles (ap), detritus (ad) and phytoplankton (aph) was determined for four size fractions: pico-particles, ultra-particles, nano-particles and micro-particles. We have shown the proportions of particles from the size classes (micro-, nano-, ultra- and pico-particles) in the total ap, ad and aph.
Jenny Choo, Nagur Cherukuru, Eric Lehmann, Matt Paget, Aazani Mujahid, Patrick Martin, and Moritz Müller
Biogeosciences, 19, 5837–5857, https://doi.org/10.5194/bg-19-5837-2022, https://doi.org/10.5194/bg-19-5837-2022, 2022
Short summary
Short summary
This study presents the first observation of water quality changes over space and time in the coastal systems of Sarawak, Malaysian Borneo, using remote sensing technologies. While our findings demonstrate that the southwestern coast of Sarawak is within local water quality standards, historical patterns of water quality degradation that were detected can help to alert local authorities and enhance management and monitoring strategies of coastal waters in this region.
Lars Olof Björn
Biogeosciences, 19, 1013–1019, https://doi.org/10.5194/bg-19-1013-2022, https://doi.org/10.5194/bg-19-1013-2022, 2022
Short summary
Short summary
The origin and evolution of life do not contradict the laws of thermodynamics, but we have no proof that it is an inevitable consequence of these laws. We do not know if the first life arose under illumination or in darkness in the deep ocean or in the Earth's crust. We have no proof that it arose due to a
thermodynamic imperative of dissipating the prevailing solar spectrum, as there are other ways for entropy increase in solar radiation. The biosphere may instead delay entropy production.
Fei Chai, Yuntao Wang, Xiaogang Xing, Yunwei Yan, Huijie Xue, Mark Wells, and Emmanuel Boss
Biogeosciences, 18, 849–859, https://doi.org/10.5194/bg-18-849-2021, https://doi.org/10.5194/bg-18-849-2021, 2021
Short summary
Short summary
The unique observations by a Biogeochemical Argo float in the NW Pacific Ocean captured the impact of a super typhoon on upper-ocean physical and biological processes. Our result reveals typhoons can increase the surface chlorophyll through strong vertical mixing without bringing nutrients upward from the depth. The vertical redistribution of chlorophyll contributes little to enhance the primary production, which is contradictory to many former satellite-based studies related to this topic.
Rafael Rasse, Hervé Claustre, and Antoine Poteau
Biogeosciences, 17, 6491–6505, https://doi.org/10.5194/bg-17-6491-2020, https://doi.org/10.5194/bg-17-6491-2020, 2020
Short summary
Short summary
Here, data collected by BGC-Argo floats are used to investigate the origin of the suspended small-particle layer inferred from optical sensors in the oxygen-poor Black Sea. Our results suggest that this layer is at least partially composed of the microbial communities that produce dinitrogen. We propose that oxygen and the optically derived small-particle layer can be used in combination to refine delineation of the effective N2-yielding section of the Black Sea and oxygen-deficient zones.
Christina Schallenberg, Robert F. Strzepek, Nina Schuback, Lesley A. Clementson, Philip W. Boyd, and Thomas W. Trull
Biogeosciences, 17, 793–812, https://doi.org/10.5194/bg-17-793-2020, https://doi.org/10.5194/bg-17-793-2020, 2020
Short summary
Short summary
Measurements of phytoplankton health still require the use of research vessels and are thus costly and sparse. In this paper we propose a new way to assess the health of phytoplankton using simple fluorescence measurements, which can be made autonomously. In the Southern Ocean, where the most limiting nutrient for phytoplankton is iron, we found a relationship between iron limitation and the depression of fluorescence under high light, the so-called non-photochemical quenching of fluorescence.
Stanford B. Hooker, Atsushi Matsuoka, Raphael M. Kudela, Youhei Yamashita, Koji Suzuki, and Henry F. Houskeeper
Biogeosciences, 17, 475–497, https://doi.org/10.5194/bg-17-475-2020, https://doi.org/10.5194/bg-17-475-2020, 2020
Short summary
Short summary
A Kd(λ) and aCDOM(440) data set spanned oceanic, coastal, and inland waters. The algorithmic approach, based on Kd end-member pairs, can be used globally. End-members with the largest spectral span had an accuracy of 1.2–2.4 % (RMSE). Validation was influenced by subjective
nonconservativewater masses. The influence of subcategories was confirmed with an objective cluster analysis.
Bingqing Liu, Eurico J. D'Sa, and Ishan D. Joshi
Biogeosciences, 16, 1975–2001, https://doi.org/10.5194/bg-16-1975-2019, https://doi.org/10.5194/bg-16-1975-2019, 2019
Short summary
Short summary
An approach using bio-optical field and ocean color (Sentinel-3A OLCI) data combined with inversion models allowed for the first time an assessment of phytoplankton response (changes in taxonomy, pigment composition and physiological state) to a large hurricane-related floodwater perturbation in a turbid estuary. The study revealed the transition in phytoplankton community species as well as the spatiotemporal distributions of phytoplankton diagnostic pigments in the floodwater-impacted bay.
Nina Schuback and Philippe D. Tortell
Biogeosciences, 16, 1381–1399, https://doi.org/10.5194/bg-16-1381-2019, https://doi.org/10.5194/bg-16-1381-2019, 2019
Short summary
Short summary
Understanding the dynamics of primary productivity requires mechanistic insight into the coupling of light absorption, electron transport and carbon fixation in response to environmental variability. Measuring such rates over diurnal timescales in contrasting regions allowed us to gain information on the regulation of photosynthetic efficiencies, with implications for the interpretation of bio-optical data, and the parameterization of models needed to monitor productivity over large scales.
Marie Barbieux, Julia Uitz, Bernard Gentili, Orens Pasqueron de Fommervault, Alexandre Mignot, Antoine Poteau, Catherine Schmechtig, Vincent Taillandier, Edouard Leymarie, Christophe Penkerc'h, Fabrizio D'Ortenzio, Hervé Claustre, and Annick Bricaud
Biogeosciences, 16, 1321–1342, https://doi.org/10.5194/bg-16-1321-2019, https://doi.org/10.5194/bg-16-1321-2019, 2019
Short summary
Short summary
As commonly observed in oligotrophic stratified waters, a subsurface (or deep) chlorophyll maximum (SCM) frequently characterizes the vertical distribution of phytoplankton chlorophyll in the Mediterranean Sea. SCMs often result from photoacclimation of the phytoplankton organisms. However they can also result from an actual increase in phytoplankton carbon biomass. Our results also suggest that a variety of intermediate types of SCMs are encountered between these two endmember situations.
Hannah L. Bourne, James K. B. Bishop, Todd J. Wood, Timothy J. Loew, and Yizhuang Liu
Biogeosciences, 16, 1249–1264, https://doi.org/10.5194/bg-16-1249-2019, https://doi.org/10.5194/bg-16-1249-2019, 2019
Short summary
Short summary
The biological carbon pump, the process by which carbon-laden particles sink out of the surface ocean, is dynamic and fast. The use of autonomous observations will better inform carbon export simulations. The Carbon Flux Explorer (CFE) was developed to optically measure hourly variations of particle flux. We calibrate the optical measurements of the CFE against C and N flux using samples collected during a coastal California cruise in June 2017. Our results yield well-correlated calibrations.
Hailong Zhang, Shengqiang Wang, Zhongfeng Qiu, Deyong Sun, Joji Ishizaka, Shaojie Sun, and Yijun He
Biogeosciences, 15, 4271–4289, https://doi.org/10.5194/bg-15-4271-2018, https://doi.org/10.5194/bg-15-4271-2018, 2018
Short summary
Short summary
The PSC model was re-tuned for regional application in the East China Sea, and successfully applied to MODIS data. We investigated previously unknown temporal–spatial patterns of the PSC in the ECS and analyzed their responses to environmental factors. The results show the PSC varied across both spatial and temporal scales, and was probably affected by the water column stability, upwelling, and Kuroshio. In addition, human activity and riverine discharge may impact the PSC dynamics.
Ishan D. Joshi and Eurico J. D'Sa
Biogeosciences, 15, 4065–4086, https://doi.org/10.5194/bg-15-4065-2018, https://doi.org/10.5194/bg-15-4065-2018, 2018
Short summary
Short summary
The standard quasi-analytical algorithm (QAA) was tuned for various ocean color sensors as QAA-V and optimized for and evaluated in a variety of waters from highly absorbing and turbid to relatively clear shelf waters. The QAA-V-derived optical properties of total absorption and backscattering coefficients showed an obvious improvement when compared to the standard QAA and were used to examine suspended particulate matter dynamics in Galveston Bay following flooding due to Hurricane Harvey.
Yasmina Loozen, Karin T. Rebel, Derek Karssenberg, Martin J. Wassen, Jordi Sardans, Josep Peñuelas, and Steven M. De Jong
Biogeosciences, 15, 2723–2742, https://doi.org/10.5194/bg-15-2723-2018, https://doi.org/10.5194/bg-15-2723-2018, 2018
Short summary
Short summary
Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it using satellite data. The goal was to investigate if it is possible to remotely sense the canopy nitrogen concentration and content of Mediterranean trees using a product calculated from satellite reflectance data, the MERIS Terrestrial Chlorophyll Index (MTCI). The tree plots were located in Catalonia, NE Spain. The relationship between MTCI and canopy N was present but dependent on the type of trees.
Stephanie Dutkiewicz, Anna E. Hickman, and Oliver Jahn
Biogeosciences, 15, 613–630, https://doi.org/10.5194/bg-15-613-2018, https://doi.org/10.5194/bg-15-613-2018, 2018
Short summary
Short summary
This study provides a demonstration that a biogeochemical/ecosystem/optical computer model which explicitly captures how light is radiated at the surface of the ocean and can be used as a laboratory to explore products (such as Chl a) that are derived from satellite measurements of ocean colour. It explores uncertainties that arise from data input used to derive the algorithms for the products, and issues arising from the interplay between optically important constituents in the ocean.
Gholamreza Mohammadpour, Jean-Pierre Gagné, Pierre Larouche, and Martin A. Montes-Hugo
Biogeosciences, 14, 5297–5312, https://doi.org/10.5194/bg-14-5297-2017, https://doi.org/10.5194/bg-14-5297-2017, 2017
Short summary
Short summary
The mass-specific absorption coefficients of total suspended particulate matter (aSPM*) had relatively low (high) values in areas of of the St. Lawrence Estuary influenced by marine (freshwater) waters and dominated by large-sized (small-sized) and organic-rich (mineral-rich) particulates.
The inorganic content of particulates was correlated with size-fractionated aSPM* values at a wavelength of 440 nm and the spectral slope of aSPM* as computed within the spectral range 400–710 nm.
Albert-Miquel Sánchez and Jaume Piera
Biogeosciences, 13, 4081–4098, https://doi.org/10.5194/bg-13-4081-2016, https://doi.org/10.5194/bg-13-4081-2016, 2016
Short summary
Short summary
In this paper, several methods for the retrieval of the refractive indices are used in three different examples modeling different shapes and particle size distributions. The error associated with each method is discussed and analyzed. It is finally demonstrated that those inverse methods using a genetic algorithm provide optimal estimations relative to other techniques that, although faster, are less accurate.
Luisa Galgani and Anja Engel
Biogeosciences, 13, 2453–2473, https://doi.org/10.5194/bg-13-2453-2016, https://doi.org/10.5194/bg-13-2453-2016, 2016
G. E. Kim, M.-A. Pradal, and A. Gnanadesikan
Biogeosciences, 12, 5119–5132, https://doi.org/10.5194/bg-12-5119-2015, https://doi.org/10.5194/bg-12-5119-2015, 2015
Short summary
Short summary
Light absorption by colored detrital material (CDM) was included in a fully coupled Earth system model. Chlorophyll and biomass increased near the surface but decreased at greater depths when CDM was included. Concurrently, total biomass decreased leaving more nutrients in the water. Regional changes were analyzed by comparing the competing factors of diminished light availability and increased nutrient availability on phytoplankton growth.
M. Grenier, A. Della Penna, and T. W. Trull
Biogeosciences, 12, 2707–2735, https://doi.org/10.5194/bg-12-2707-2015, https://doi.org/10.5194/bg-12-2707-2015, 2015
Short summary
Short summary
Four bio-profilers were deployed in the high-biomass plume downstream of the Kerguelen Plateau (KP; Southern Ocean) to examine the conditions favouring phytoplankton accumulation. Regions of very high Chla accumulation were mainly associated with surface waters from the northern KP. Light limitation seems to have a limited influence on production. A cyclonic eddy was associated with a significant export of organic matter and a subsequent dissolved inorganic carbon storage in the ocean interior.
I. Cetinić, M. J. Perry, E. D'Asaro, N. Briggs, N. Poulton, M. E. Sieracki, and C. M. Lee
Biogeosciences, 12, 2179–2194, https://doi.org/10.5194/bg-12-2179-2015, https://doi.org/10.5194/bg-12-2179-2015, 2015
Short summary
Short summary
The ratio of simple optical properties measured from underwater autonomous platforms, such as floats and gliders, is used as a new tool for studying phytoplankton distribution in the North Atlantic Ocean. The resolution that optical instruments carried by autonomous platforms provide allows us to study phytoplankton patchiness and its drivers in the oceanic systems.
B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 2014
M. Kahru and R. Elmgren
Biogeosciences, 11, 3619–3633, https://doi.org/10.5194/bg-11-3619-2014, https://doi.org/10.5194/bg-11-3619-2014, 2014
E. J. D'Sa, J. I. Goes, H. Gomes, and C. Mouw
Biogeosciences, 11, 3225–3244, https://doi.org/10.5194/bg-11-3225-2014, https://doi.org/10.5194/bg-11-3225-2014, 2014
A. Matsuoka, M. Babin, D. Doxaran, S. B. Hooker, B. G. Mitchell, S. Bélanger, and A. Bricaud
Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, https://doi.org/10.5194/bg-11-3131-2014, 2014
S. Q. Wang, J. Ishizaka, H. Yamaguchi, S. C. Tripathy, M. Hayashi, Y. J. Xu, Y. Mino, T. Matsuno, Y. Watanabe, and S. J. Yoo
Biogeosciences, 11, 1759–1773, https://doi.org/10.5194/bg-11-1759-2014, https://doi.org/10.5194/bg-11-1759-2014, 2014
S. L. Shang, Q. Dong, C. M. Hu, G. Lin, Y. H. Li, and S. P. Shang
Biogeosciences, 11, 269–280, https://doi.org/10.5194/bg-11-269-2014, https://doi.org/10.5194/bg-11-269-2014, 2014
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
S. Bélanger, S. A. Cizmeli, J. Ehn, A. Matsuoka, D. Doxaran, S. Hooker, and M. Babin
Biogeosciences, 10, 6433–6452, https://doi.org/10.5194/bg-10-6433-2013, https://doi.org/10.5194/bg-10-6433-2013, 2013
X. Zhang, Y. Huot, D. J. Gray, A. Weidemann, and W. J. Rhea
Biogeosciences, 10, 6029–6043, https://doi.org/10.5194/bg-10-6029-2013, https://doi.org/10.5194/bg-10-6029-2013, 2013
D. Antoine, S. B. Hooker, S. Bélanger, A. Matsuoka, and M. Babin
Biogeosciences, 10, 4493–4509, https://doi.org/10.5194/bg-10-4493-2013, https://doi.org/10.5194/bg-10-4493-2013, 2013
S. B. Hooker, J. H. Morrow, and A. Matsuoka
Biogeosciences, 10, 4511–4527, https://doi.org/10.5194/bg-10-4511-2013, https://doi.org/10.5194/bg-10-4511-2013, 2013
S. Bélanger, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 4087–4101, https://doi.org/10.5194/bg-10-4087-2013, https://doi.org/10.5194/bg-10-4087-2013, 2013
A. Matsuoka, S. B. Hooker, A. Bricaud, B. Gentili, and M. Babin
Biogeosciences, 10, 917–927, https://doi.org/10.5194/bg-10-917-2013, https://doi.org/10.5194/bg-10-917-2013, 2013
S. Takao, T. Hirawake, S. W. Wright, and K. Suzuki
Biogeosciences, 9, 3875–3890, https://doi.org/10.5194/bg-9-3875-2012, https://doi.org/10.5194/bg-9-3875-2012, 2012
R. Röttgers and B. P. Koch
Biogeosciences, 9, 2585–2596, https://doi.org/10.5194/bg-9-2585-2012, https://doi.org/10.5194/bg-9-2585-2012, 2012
A. Sadeghi, T. Dinter, M. Vountas, B. Taylor, M. Altenburg-Soppa, and A. Bracher
Biogeosciences, 9, 2127–2143, https://doi.org/10.5194/bg-9-2127-2012, https://doi.org/10.5194/bg-9-2127-2012, 2012
A. Matsuoka, A. Bricaud, R. Benner, J. Para, R. Sempéré, L. Prieur, S. Bélanger, and M. Babin
Biogeosciences, 9, 925–940, https://doi.org/10.5194/bg-9-925-2012, https://doi.org/10.5194/bg-9-925-2012, 2012
B. B. Taylor, E. Torrecilla, A. Bernhardt, M. H. Taylor, I. Peeken, R. Röttgers, J. Piera, and A. Bracher
Biogeosciences, 8, 3609–3629, https://doi.org/10.5194/bg-8-3609-2011, https://doi.org/10.5194/bg-8-3609-2011, 2011
G. Dall'Olmo, E. Boss, M. J. Behrenfeld, T. K. Westberry, C. Courties, L. Prieur, M. Pujo-Pay, N. Hardman-Mountford, and T. Moutin
Biogeosciences, 8, 3423–3439, https://doi.org/10.5194/bg-8-3423-2011, https://doi.org/10.5194/bg-8-3423-2011, 2011
H. Loisel, V. Vantrepotte, K. Norkvist, X. Mériaux, M. Kheireddine, J. Ras, M. Pujo-Pay, Y. Combet, K. Leblanc, G. Dall'Olmo, R. Mauriac, D. Dessailly, and T. Moutin
Biogeosciences, 8, 3295–3317, https://doi.org/10.5194/bg-8-3295-2011, https://doi.org/10.5194/bg-8-3295-2011, 2011
S. Shang, Q. Dong, Z. Lee, Y. Li, Y. Xie, and M. Behrenfeld
Biogeosciences, 8, 841–850, https://doi.org/10.5194/bg-8-841-2011, https://doi.org/10.5194/bg-8-841-2011, 2011
T. S. Kostadinov, D. A. Siegel, and S. Maritorena
Biogeosciences, 7, 3239–3257, https://doi.org/10.5194/bg-7-3239-2010, https://doi.org/10.5194/bg-7-3239-2010, 2010
F. Nencioli, G. Chang, M. Twardowski, and T. D. Dickey
Biogeosciences, 7, 151–162, https://doi.org/10.5194/bg-7-151-2010, https://doi.org/10.5194/bg-7-151-2010, 2010
A. Morel and B. Gentili
Biogeosciences, 6, 2625–2636, https://doi.org/10.5194/bg-6-2625-2009, https://doi.org/10.5194/bg-6-2625-2009, 2009
Cited articles
Adams, W. W., Demmig-Adams, B., Rosenstiel, T. N., Brightwell, A. K., and Ebbert, V.: Photosynthesis and photoprotection in overwintering plants, Plant Biol., 4, 545–557, https://doi.org/10.1055/s-2002-35434, 2002.
Barton, C. V. M. and North, P. R. J.: Remote sensing of canopy light use efficiency using the photochemical reflectance index – Model and sensitivity analysis, Remote Sens. Environ., 78, 264–273, https://doi.org/10.1016/s0034-4257(01)00224-3, 2001.
Castro-Esau, K. L., Sanchez-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.
Coops, N. C., Hilker, T., Hall, F. G., Nichol, C. J., and Drolet, G. G.: Estimation of light-use efficiency of terrestrial ecosystem from space: A status report, Bioscience, 60, 788–797, https://doi.org/10.1525/bio.2010.60.10.5, 2010.
DeFries, R. S. and Townshend, J. R. G.: NDVI-derived land-cover classifications at a global-scale, Int. J. Remote Sens., 15, 3567–3586, 1994.
Demmig-Adams, B. and Adams, W. W.: Photoprotection and other responses of plants to high light stress, Annu. Rev. Plant Phys., 43, 599–626, https://doi.org/10.1146/annurev.pp.43.060192.003123, 1992.
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, 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, 7678–7709, https://doi.org/10.3390/s110807678, 2011.
Filella, I., Porcar-Castell, A., Munne-Bosch, S., Back, J., Garbulsky, M. F., and Peñuelas, J.: PRI assessment of long-term changes in carotenoids/chlorophyll ratio and short-term changes in de-epoxidation state of the xanthophyll cycle, Int. J. Remote Sens., 30, 4443–4455, https://doi.org/10.1080/01431160802575661, 2009.
Gamon, J. and Qiu, H.-L.: Ecological applications of remote sensing at multiple scales, in: Handbook of Functional Plant Ecology, edited by: Pugnaire, F. and Valladares, F., Marcel Dekker, Inc., New York, 805–846, 1999.
Gamon, J. A. and Berry, J. A.: Facultative and constitutive pigment effects on the Photochemical Reflectance Index (PRI) in sun and shade conifer needles, Isr. J. Plant Sci., 60, 85–95, https://doi.org/10.1560/ijps.60.1-2.85, 2012.
Gamon, J. A. and Bond, B.: Effects of irradiance and photosynthetic downregulation on the photochemical reflectance index in Douglas-fir and ponderosa pine, Remote Sens. Environ., 135, 141–149, https://doi.org/10.1016/j.rse.2013.03.032, 2013.
Gamon, J. A., Peñuelas, J., and Field, C. B.: A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sens. Environ., 41, 35–44, https://doi.org/10.1016/0034-4257(92)90059-s, 1992.
Gamon, J. A., 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, https://doi.org/10.2307/1942049, 1995.
Gamon, J. A., Serrano, L., and Surfus, J. S.: The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels, Oecologia, 112, 492–501, https://doi.org/10.1007/s004420050337, 1997.
Gamon, J. A., Field, C. B., Fredeen, A. L., and Thayer, S.: Assessing photosynthetic downregulation in sunflower stands with an optically-based model, Photosynth. Res., 67, 113–125, https://doi.org/10.1023/a:1010677605091, 2001.
Gamon, J. A., Cheng, Y. F., Claudio, H., MacKinney, L., and Sims, D. A.: A mobile tram system for systematic sampling of ecosystem optical properties, Remote Sens. Environ., 103, 246–254, https://doi.org/10.1016/j.rse.2006.04.006, 2006.
Garbulsky, M. F., Peñuelas, J., Gamon, J., Inoue, Y., and Filella, I.: The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies A review and meta-analysis, Remote Sens. Environ., 115, 281–297, https://doi.org/10.1016/j.rse.2010.08.023, 2011.
Garrity, S. R., Vierling, L. A., and Bickford, K.: A simple filtered photodiode instrument for continuous measurement of narrowband NDVI and PRI over vegetated canopies, Agr. Forest Meteorol., 150, 489–496, https://doi.org/10.1016/j.agrformet.2010.01.004, 2010.
Garrity, S. R., Eitel, J. U. H., and Vierling, L. A.: Disentangling the relationships between plant pigments and the photochemical reflectance index reveals a new approach for remote estimation of carotenoid content, Remote Sens. Environ., 115, 628–635, https://doi.org/10.1016/j.rse.2010.10.007, 2011.
Goward, S. N., Tucker, C. J., and Dye, D. G.: North-American vegetation patterns observed with the NOAA-7 Advanced Very High-Resolution Radiometer, Vegetatio, 64, 3–14, https://doi.org/10.1007/bf00033449, 1985.
Grace, J., Nichol, C., Disney, M., Lewis, P., Quaife, T., and Bowyer, P.: Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence?, Glob. Change Biol., 13, 1484–1497, https://doi.org/10.1111/j.1365-2486.2007.01352.x, 2007.
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.
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., 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, 2008.
Knyazikhin, Y., Schull, M. A., Stenberg, P., Mottus, 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.
Middleton, E. M., Cheng, Y.-B., Hilker, T., Black, T. A., Krishnan, P., Coops, N. C., and Huemmrich, K. F.: Linking foliage spectral responses to canopy-level ecosystem photosynthetic light-use efficiency at a Douglas-fir forest in Canada, Can. J. Remote Sens., 35, 166–188, 2009.
Monteith, J. L.: Principles of Environmental Physics, Elsevier, New York, 1973.
Peñuelas, J., Filella, I., and Gamon, J. A.: Assessment of photosynthetic radiation-use efficiency with spectral reflectance, New Phytol., 131, 291–296, https://doi.org/10.1111/j.1469-8137.1995.tb03064.x, 1995.
Porcar-Castell, A., Ignacio Garcia-Plazaola, J., 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.
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.
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, https://doi.org/10.1016/j.agrformet.2010.08.009, 2010.
Sims, D. A. and Gamon, J. A.: Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages, Remote Sens. of Environ., 81, 337–354, https://doi.org/10.1016/s0034-4257(02)00010-x, 2002.
Sims, D. A., Luo, H. Y., 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. of Environ., 103, 289–303, https://doi.org/10.1016/j.rse.2005.01.020, 2006.
Stylinski, C. D., Gamon, J. A., and Oechel, W. C.: Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species, Oecologia, 131, 366–374, https://doi.org/10.1007/s00442-002-0905-9, 2002.
Thayer, S. S. and Björkman, O.: Leaf xanthophyll content and composition in sun and shade determined by HPLC, Photosynth. Res., 23, 331–343, https://doi.org/10.1007/bf00034864, 1990.
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.
Wong, C. Y. S. and Gamon, J. A.: Three causes of variation in the Photochemical Reflectance Index (PRI) in evergreen conifers, New Phytol., 206, 187–195, https://doi.org/10.1111/nph.13159, 2015a.
Wong, C. Y. S. and Gamon, J. A: The Photochemical Reflectance Index (PRI) provides an optical indicator of spring photosynthetic activity in conifers, New Phytol., 206, 196–208, https://doi.org/10.1111/nph.13251, 2015b.
Short summary
NDVI and PRI sensors (SRS, Decagon Inc.) exhibited complementary responses during spring photosynthetic activation in evergreen and deciduous stands. In evergreens, PRI was most strongly influenced by changing chlorophyll:carotenoid pool sizes over the several weeks of the study, while it was most affected by xanthophyll cycle pigment activity at the diurnal timescale. These automated PRI and NDVI sensors offer new ways to explore environmental and physiological constraints on photosynthesis.
NDVI and PRI sensors (SRS, Decagon Inc.) exhibited complementary responses during spring...
Altmetrics
Final-revised paper
Preprint