Articles | Volume 10, issue 1
Earth Syst. Sci. Data, 10, 251–266, 2018
https://doi.org/10.5194/essd-10-251-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 10, 251–266, 2018
https://doi.org/10.5194/essd-10-251-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
06 Feb 2018
Brief communication
| 06 Feb 2018
Photosynthesis–irradiance parameters of marine phytoplankton: synthesis of a global data set
Heather A. Bouman et al.
Related authors
Neil J. Wyatt, Angela Milne, Eric P. Achterberg, Thomas J. Browning, Heather A. Bouman, E. Malcolm S. Woodward, and Maeve C. Lohan
Biogeosciences, 18, 4265–4280, https://doi.org/10.5194/bg-18-4265-2021, https://doi.org/10.5194/bg-18-4265-2021, 2021
Short summary
Short summary
Using data collected during two expeditions to the South Atlantic Ocean, we investigated how the interaction between external sources and biological activity influenced the availability of the trace metals zinc and cobalt. This is important as both metals play essential roles in the metabolism and growth of phytoplankton and thus influence primary productivity of the oceans. We found seasonal changes in both processes that helped explain upper-ocean trace metal cycling.
Robyn E. Tuerena, Raja S. Ganeshram, Matthew P. Humphreys, Thomas J. Browning, Heather Bouman, and Alexander P. Piotrowski
Biogeosciences, 16, 3621–3635, https://doi.org/10.5194/bg-16-3621-2019, https://doi.org/10.5194/bg-16-3621-2019, 2019
Short summary
Short summary
The carbon isotopes in algae can be used to predict food sources and environmental change. We explore how dissolved carbon is taken up by algae in the South Atlantic Ocean and how this affects their carbon isotope signature. We find that cell size controls isotope fractionation. We use our results to investigate how climate change may impact the carbon isotopes in algae. We suggest a shift to smaller algae in this region would decrease the carbon isotope ratio at the base of the food web.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-159, https://doi.org/10.5194/essd-2022-159, 2022
Preprint under review for ESSD
Short summary
Short summary
A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-54, https://doi.org/10.5194/bg-2022-54, 2022
Revised manuscript accepted for BG
Short summary
Short summary
This study explores the seasonal, interannual and long-term drivers of the South Atlantic air-sea CO2 flux. Our analysis showed seasonally, sea surface temperatures dominate in the subtropics, and the subpolar regions correlated with biological processes. Interannually, the El Nino Southern Oscillation correlated with the CO2 flux by modifying sea surface temperatures and biological activity. Long term trends indicated an important biological contribution to changes in the air-sea CO2 flux.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 93–115, https://doi.org/10.5194/bg-19-93-2022, https://doi.org/10.5194/bg-19-93-2022, 2022
Short summary
Short summary
This study identifies the most accurate biological proxy for the estimation of seawater pCO2 fields, which are key to assessing the ocean carbon sink. Our analysis shows that the net community production (NCP), the balance between photosynthesis and respiration, was more accurate than chlorophyll a within a neural network scheme. The improved pCO2 estimates, based on NCP, identified the South Atlantic Ocean as a net CO2 source, compared to a CO2 sink using chlorophyll a.
Neil J. Wyatt, Angela Milne, Eric P. Achterberg, Thomas J. Browning, Heather A. Bouman, E. Malcolm S. Woodward, and Maeve C. Lohan
Biogeosciences, 18, 4265–4280, https://doi.org/10.5194/bg-18-4265-2021, https://doi.org/10.5194/bg-18-4265-2021, 2021
Short summary
Short summary
Using data collected during two expeditions to the South Atlantic Ocean, we investigated how the interaction between external sources and biological activity influenced the availability of the trace metals zinc and cobalt. This is important as both metals play essential roles in the metabolism and growth of phytoplankton and thus influence primary productivity of the oceans. We found seasonal changes in both processes that helped explain upper-ocean trace metal cycling.
Zhengchao Wu, Qian P. Li, Zaiming Ge, Bangqin Huang, and Chunming Dong
Biogeosciences, 18, 1049–1065, https://doi.org/10.5194/bg-18-1049-2021, https://doi.org/10.5194/bg-18-1049-2021, 2021
Short summary
Short summary
Seasonal hypoxia in the nearshore bottom waters frequently occurs in the Pearl River estuary. Aerobic respiration is the ultimate cause of local hypoxia. We found an elevated level of polyunsaturated aldehydes in the bottom water outside the estuary, which promoted the growth and metabolism of special groups of particle-attached bacteria and thus contributed to oxygen depletion in hypoxic waters. Our results may be important for understanding coastal hypoxia and its linkages to eutrophication.
Angela A. Bahamondes Dominguez, Anna E. Hickman, Robert Marsh, and C. Mark Moore
Geosci. Model Dev., 13, 4019–4040, https://doi.org/10.5194/gmd-13-4019-2020, https://doi.org/10.5194/gmd-13-4019-2020, 2020
Short summary
Short summary
The central Celtic Sea has previously been studied with a 1-D model called S2P3, showing discrepancies between observations and the model results due to poor representation of some processes. Therefore, the S2P3 model was developed to include zooplankton and phytoplankton cells' adaptation to changes in irradiance. Results demonstrate that better agreement with biological observations can be achieved when the model includes these processes and is adequately constrained.
Stephanie Dutkiewicz, Pedro Cermeno, Oliver Jahn, Michael J. Follows, Anna E. Hickman, Darcy A. A. Taniguchi, and Ben A. Ward
Biogeosciences, 17, 609–634, https://doi.org/10.5194/bg-17-609-2020, https://doi.org/10.5194/bg-17-609-2020, 2020
Short summary
Short summary
Phytoplankton are an essential component of the marine food web and earth's carbon cycle. We use observations, ecological theory and a unique trait-based ecosystem model to explain controls on patterns of marine phytoplankton biodiversity. We find that different dimensions of diversity (size classes, biogeochemical functional groups, thermal norms) are controlled by a disparate combination of mechanisms. This may explain why previous studies of phytoplankton diversity had conflicting results.
Robyn E. Tuerena, Raja S. Ganeshram, Matthew P. Humphreys, Thomas J. Browning, Heather Bouman, and Alexander P. Piotrowski
Biogeosciences, 16, 3621–3635, https://doi.org/10.5194/bg-16-3621-2019, https://doi.org/10.5194/bg-16-3621-2019, 2019
Short summary
Short summary
The carbon isotopes in algae can be used to predict food sources and environmental change. We explore how dissolved carbon is taken up by algae in the South Atlantic Ocean and how this affects their carbon isotope signature. We find that cell size controls isotope fractionation. We use our results to investigate how climate change may impact the carbon isotopes in algae. We suggest a shift to smaller algae in this region would decrease the carbon isotope ratio at the base of the food web.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford B. Hooker, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Hubert Loisel, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 11, 1037–1068, https://doi.org/10.5194/essd-11-1037-2019, https://doi.org/10.5194/essd-11-1037-2019, 2019
Short summary
Short summary
A compiled set of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2018) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
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.
Christopher J. Merchant, Frank Paul, Thomas Popp, Michael Ablain, Sophie Bontemps, Pierre Defourny, Rainer Hollmann, Thomas Lavergne, Alexandra Laeng, Gerrit de Leeuw, Jonathan Mittaz, Caroline Poulsen, Adam C. Povey, Max Reuter, Shubha Sathyendranath, Stein Sandven, Viktoria F. Sofieva, and Wolfgang Wagner
Earth Syst. Sci. Data, 9, 511–527, https://doi.org/10.5194/essd-9-511-2017, https://doi.org/10.5194/essd-9-511-2017, 2017
Short summary
Short summary
Climate data records (CDRs) contain data describing Earth's climate and should address uncertainty in the data to communicate what is known about climate variability or change and what range of doubt exists. This paper discusses good practice for including uncertainty information in CDRs for the essential climate variables (ECVs) derived from satellite data. Recommendations emerge from the shared experience of diverse ECV projects within the European Space Agency Climate Change Initiative.
Diana Zúñiga, Celia Santos, María Froján, Emilia Salgueiro, Marta M. Rufino, Francisco De la Granda, Francisco G. Figueiras, Carmen G. Castro, and Fátima Abrantes
Biogeosciences, 14, 1165–1179, https://doi.org/10.5194/bg-14-1165-2017, https://doi.org/10.5194/bg-14-1165-2017, 2017
Short summary
Short summary
Diatoms are one of the most important primary producers in highly productive coastal regions. Their silicified valves are susceptible to escape from the upper water column and be preserved in the sediment record, and thus are frequently used to reconstruct environmental conditions in the past from sediment cores. Here, we assess how water column diatom’s community in the NW Iberian coastal upwelling system is seasonally transferred from the surface to the seafloor sediments.
J. Gloël, C. Robinson, G. H. Tilstone, G. Tarran, and J. Kaiser
Ocean Sci., 11, 947–952, https://doi.org/10.5194/os-11-947-2015, https://doi.org/10.5194/os-11-947-2015, 2015
Short summary
Short summary
We assess benzalkonium chloride (BAC) as alternative to mercuric chloride (HgCl2) for preservation of seawater samples. BAC concentrations of 50mg dm–3 inhibited microbial activity for at least 3 days in samples tested with chlorophyll a concentrations up to 1mg m–3. With fewer risks to health and environment, and lower waste disposal costs, BAC could be a short-term alternative to HgCl2, but cannot replace it for oxygen triple isotope samples, which require storage over weeks to months.
B. Nechad, K. Ruddick, T. Schroeder, K. Oubelkheir, D. Blondeau-Patissier, N. Cherukuru, V. Brando, A. Dekker, L. Clementson, A. C. Banks, S. Maritorena, P. J. Werdell, C. Sá, V. Brotas, I. Caballero de Frutos, Y.-H. Ahn, S. Salama, G. Tilstone, V. Martinez-Vicente, D. Foley, M. McKibben, J. Nahorniak, T. Peterson, A. Siliò-Calzada, R. Röttgers, Z. Lee, M. Peters, and C. Brockmann
Earth Syst. Sci. Data, 7, 319–348, https://doi.org/10.5194/essd-7-319-2015, https://doi.org/10.5194/essd-7-319-2015, 2015
Short summary
Short summary
The CoastColour Round Robin (CCRR) project (European Space Agency) was designed to set up the first database for remote-sensing algorithm testing and accuracy assessment of water quality parameter retrieval in coastal waters, from satellite imagery. This paper analyses the CCRR database, which includes in situ bio-geochemical and optical measurements in various water types, match-up reflectance products from the MEdium Resolution Imaging Spectrometer (MERIS), and radiative transfer simulations.
R. Marsh, A. E. Hickman, and J. Sharples
Geosci. Model Dev., 8, 3163–3178, https://doi.org/10.5194/gmd-8-3163-2015, https://doi.org/10.5194/gmd-8-3163-2015, 2015
Short summary
Short summary
Our relatively shallow shelf seas are warmed at the surface in spring and summer, while strong tidal currents act to mix away the surface warmth. These competing effects strongly influence the conditions for seasonal growth of the phytoplankton that support marine food webs. We have developed a versatile framework for fast computer modelling of shelf seas, to explore seasonal and year-to-year variations of warming and plankton productivity, tested against observations in different regions.
S. Dutkiewicz, A. E. Hickman, O. Jahn, W. W. Gregg, C. B. Mouw, and M. J. Follows
Biogeosciences, 12, 4447–4481, https://doi.org/10.5194/bg-12-4447-2015, https://doi.org/10.5194/bg-12-4447-2015, 2015
Short summary
Short summary
A numerical model is presented that explicitly includes spectral
irradiance and optically important water constituents. The model captures 3-D
biogeochemical, ecosystem, and optical observations, including surface
reflectance analogous to ocean colour satellite observations. Sensitivity
experiments demonstrate the relative importance of each of the water
constituents, and the feedbacks between the light field, fitness of
phytoplankton types, and the biogeochemistry of the ocean.
G. Zibordi, F. Mélin, J.-F. Berthon, and M. Talone
Ocean Sci., 11, 275–286, https://doi.org/10.5194/os-11-275-2015, https://doi.org/10.5194/os-11-275-2015, 2015
Short summary
Short summary
The accuracy of primary satellite ocean color data products from MODIS on-board Aqua and the VIIRS is investigated using in situ measurements from the ocean color component of the Aerosol Robotic Network (AERONET-OC). Results from the comparison of normalized water-leaving radiance LWN indicate biases of a few percent between satellite-derived and in situ data at the center wavelengths relevant for the determination of chlorophyll-a concentration.
G. Zibordi, F. Mélin, J.-F. Berthon, and E. Canuti
Ocean Sci., 9, 521–533, https://doi.org/10.5194/os-9-521-2013, https://doi.org/10.5194/os-9-521-2013, 2013
Related subject area
Biological oceanography
The COSMUS expedition: seafloor images and acoustic bathymetric data from the PS124 expedition to the southern Weddell Sea, Antarctica
Primary productivity measurements in the Ross Sea, Antarctica: a regional synthesis
Patos Lagoon estuary and adjacent marine coastal biodiversity long-term data
Weight-to-weight conversion factors for benthic macrofauna: recent measurements from the Baltic and the North seas
The Plankton Lifeform Extraction Tool: a digital tool to increase the discoverability and usability of plankton time-series data
Collection and analysis of a global marine phytoplankton primary-production dataset
Daily to annual net primary production in the North Sea determined using autonomous underwater gliders and satellite Earth observation
The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea
Diets of the Barents Sea cod (Gadus morhua) from the 1930s to 2018
A global viral oceanography database (gVOD)
PhytoBase: A global synthesis of open-ocean phytoplankton occurrences
A long-term (1965–2015) ecological marine database from the LTER-Italy Northern Adriatic Sea site: plankton and oceanographic observations
An interactive atlas for marine biodiversity conservation in the Coral Triangle
A synthetic satellite dataset of the spatio-temporal distributions of Emiliania huxleyi blooms and their impacts on Arctic and sub-Arctic marine environments (1998–2016)
A 40-year global data set of visible-channel remote-sensing reflectances and coccolithophore bloom occurrence derived from the Advanced Very High Resolution Radiometer catalogue
Two databases derived from BGC-Argo float measurements for marine biogeochemical and bio-optical applications
KRILLBASE: a circumpolar database of Antarctic krill and salp numerical densities, 1926–2016
A trait database for marine copepods
Global ocean particulate organic carbon flux merged with satellite parameters
A compilation of global bio-optical in situ data for ocean-colour satellite applications
Data compilation on the biological response to ocean acidification: an update
CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters
Vertical distribution of chlorophyll a concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean
Biogeography of key mesozooplankton species in the North Atlantic and egg production of Calanus finmarchicus
Biogeography of jellyfish in the North Atlantic, by traditional and genomic methods
A metadata template for ocean acidification data
Spatially explicit estimates of stock sizes, structure and biomass of herring and blue whiting, and catch data of bluefin tuna
A new compilation of stomach content data for commercially important pelagic fish species in the northeast Atlantic
Spatially explicit estimates of stock size, structure and biomass of North Atlantic albacore tuna (Thunnus alalunga)
Data compilation of fluxes of sedimenting material from sediment traps in the Atlantic Ocean
Global database of surface ocean particulate organic carbon export fluxes diagnosed from the 234Th technique
Distribution of known macrozooplankton abundance and biomass in the global ocean
Global marine plankton functional type biomass distributions: coccolithophores
The MAREDAT global database of high performance liquid chromatography marine pigment measurements
Distribution of mesozooplankton biomass in the global ocean
Calibration procedures and first dataset of Southern Ocean chlorophyll a profiles collected by elephant seals equipped with a newly developed CTD-fluorescence tags
The global distribution of pteropods and their contribution to carbonate and carbon biomass in the modern ocean
A global diatom database – abundance, biovolume and biomass in the world ocean
Global marine plankton functional type biomass distributions: Phaeocystis spp.
Picoheterotroph (Bacteria and Archaea) biomass distribution in the global ocean
Picophytoplankton biomass distribution in the global ocean
EPOCA/EUR-OCEANS data compilation on the biological and biogeochemical responses to ocean acidification
Autun Purser, Laura Hehemann, Lilian Boehringer, Ellen Werner, Santiago E. A. Pineda-Metz, Lucie Vignes, Axel Nordhausen, Moritz Holtappels, and Frank Wenzhoefer
Earth Syst. Sci. Data, 14, 3635–3648, https://doi.org/10.5194/essd-14-3635-2022, https://doi.org/10.5194/essd-14-3635-2022, 2022
Short summary
Short summary
Within this paper we present the seafloor images, maps and acoustic camera data collected by a towed underwater research platform deployed in 20 locations across the eastern Weddell Sea, Antarctica, during the PS124 COSMUS expedition with the research icebreaker RV Polarstern in 2021. The 20 deployments highlight the great variability in seafloor structure and faunal communities present. Of key interest was the discovery of the largest fish nesting colony discovered globally to date.
Walker O. Smith Jr.
Earth Syst. Sci. Data, 14, 2737–2747, https://doi.org/10.5194/essd-14-2737-2022, https://doi.org/10.5194/essd-14-2737-2022, 2022
Short summary
Short summary
The rate of photosynthesis of marine phytoplankton – primary productivity – is typically measured by quantifying the rate of radioisotope incorporation. However, generally such measurements are not collected by one individual through time and so are difficult to compare due to methodological differences. A data set compiled by one investigator over more than 20 years in the Ross Sea demonstrates the importance of the region as a "hot spot" for growth and synthesis.
Valéria M. Lemos, Marianna Lanari, Margareth Copertino, Eduardo R. Secchi, Paulo Cesar O. V. de Abreu, José H. Muelbert, Alexandre M. Garcia, Felipe C. Dumont, Erik Muxagata, João P. Vieira, André Colling, and Clarisse Odebrecht
Earth Syst. Sci. Data, 14, 1015–1041, https://doi.org/10.5194/essd-14-1015-2022, https://doi.org/10.5194/essd-14-1015-2022, 2022
Short summary
Short summary
The Patos Lagoon estuary and adjacent marine coast (PLEA) has been a site of the Brazilian Long-Term Ecological Research (LTER) program since 1998. LTER-PLEA contributes information about the biota composition, distribution and abundance, and estuarine ecological processes. The LTER-PLEA database (8 datasets containing 6972 sampling events and records of 275 species) represents one of the most robust and longest databases of biological diversity in an estuarine coastal system of South America.
Mayya Gogina, Anja Zettler, and Michael L. Zettler
Earth Syst. Sci. Data, 14, 1–4, https://doi.org/10.5194/essd-14-1-2022, https://doi.org/10.5194/essd-14-1-2022, 2022
Short summary
Short summary
For the first time we publish a taxonomically detailed and robust dataset of biomass conversion factors for macro-zoobenthos, often required in many studies. Georeferenced raw data for 497 taxa empower the user to make the best selections for combining them with their own data, and aggregation can help to quantify natural variability and uncertainty and refine current ecological theory. Standardised measurements were done on material collected for over 2 decades in the Baltic and the North seas.
Clare Ostle, Kevin Paxman, Carolyn A. Graves, Mathew Arnold, Luis Felipe Artigas, Angus Atkinson, Anaïs Aubert, Malcolm Baptie, Beth Bear, Jacob Bedford, Michael Best, Eileen Bresnan, Rachel Brittain, Derek Broughton, Alexandre Budria, Kathryn Cook, Michelle Devlin, George Graham, Nick Halliday, Pierre Hélaouët, Marie Johansen, David G. Johns, Dan Lear, Margarita Machairopoulou, April McKinney, Adam Mellor, Alex Milligan, Sophie Pitois, Isabelle Rombouts, Cordula Scherer, Paul Tett, Claire Widdicombe, and Abigail McQuatters-Gollop
Earth Syst. Sci. Data, 13, 5617–5642, https://doi.org/10.5194/essd-13-5617-2021, https://doi.org/10.5194/essd-13-5617-2021, 2021
Short summary
Short summary
Plankton form the base of the marine food web and are sensitive indicators of environmental change. The Plankton Lifeform Extraction Tool brings together disparate plankton datasets into a central database from which it extracts abundance time series of plankton functional groups, called
lifeforms, according to shared biological traits. This tool has been designed to make complex plankton datasets accessible and meaningful for policy, public interest, and scientific discovery.
Francesco Mattei and Michele Scardi
Earth Syst. Sci. Data, 13, 4967–4985, https://doi.org/10.5194/essd-13-4967-2021, https://doi.org/10.5194/essd-13-4967-2021, 2021
Short summary
Short summary
Data paucity hinders the understanding of natural processes such as phytoplankton production. Several studies stressed how the lack of data is the main constraint for modeling phytoplankton production. We created a global and ready-to-use dataset regarding phytoplankton production, collecting and processing data from several sources. We performed a general data analysis from a numerical and an ecological perspective. This dataset will help enhance the understanding of phytoplankton production.
Benjamin Loveday, Timothy Smyth, Anıl Akpinar, Tom Hull, Mark Inall, Jan Kaiser, Bastien Queste, Matt Tobermann, Charlotte Williams, and Matthew Palmer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-311, https://doi.org/10.5194/essd-2021-311, 2021
Revised manuscript accepted for ESSD
Short summary
Short summary
Using a new approach to combine autonomous underwater glider data and satellite Earth observations, we have generated a 19-month time-series of North Sea net primary productivity – the rate at which phytoplankton absorbs carbon dioxide, minus that lost through respiration. This time-series, which spans 13 gliders, allows for new investigations into small-scale, high-frequency variability in the biogeochemical processes that underpin the carbon cycle and coastal marine ecosystems in shelf seas.
Annalisa Minelli, Carmen Ferrà, Alessandra Spagnolo, Martina Scanu, Anna Nora Tassetti, Carla Rita Ferrari, Cristina Mazziotti, Silvia Pigozzi, Zrinka Jakl, Tena Šarčević, Miranda Šimac, Claudia Kruschel, Dubravko Pejdo, Enrico Barbone, Michele De Gioia, Diego Borme, Emiliano Gordini, Rocco Auriemma, Ivo Benzon, Đeni Vuković-Stanišić, Sandi Orlić, Vlado Frančić, Damir Zec, Ivana Orlić Kapović, Michela Soldati, Silvia Ulazzi, and Gianna Fabi
Earth Syst. Sci. Data, 13, 1905–1923, https://doi.org/10.5194/essd-13-1905-2021, https://doi.org/10.5194/essd-13-1905-2021, 2021
Short summary
Short summary
This data paper describes a dataset of natural and artificial reefs and wrecks in the Adriatic Sea collected, from a survey, in the frame of the ADRIREEF Interreg project. Information about the identification of the reef and its physical characteristics, surrounding area, and management actions/facilities has been collected in order to create a very detailed dataset, which has been harmonized and published in the SEANOE repository (https://doi.org/10.17882/74880).
Bryony L. Townhill, Rebecca E. Holt, Bjarte Bogstad, Joël M. Durant, John K. Pinnegar, Andrey V. Dolgov, Natalia A. Yaragina, Edda Johannesen, and Geir Ottersen
Earth Syst. Sci. Data, 13, 1361–1370, https://doi.org/10.5194/essd-13-1361-2021, https://doi.org/10.5194/essd-13-1361-2021, 2021
Short summary
Short summary
A dataset on the diet of Atlantic cod in the Barents Sea from the 1930s to 2018 has been compiled to produce one of the largest fish diet datasets available globally. A top predator, cod plays a key role in the food web. The data from Norway, the United Kingdom and Russia include data from 2.5 million fish. Diets have changed considerably from the start of the dataset in the 1930s. This dataset helps us understand how the environment and ecosystems are responding to a changing climate.
Le Xie, Wei Wei, Lanlan Cai, Xiaowei Chen, Yuhong Huang, Nianzhi Jiao, Rui Zhang, and Ya-Wei Luo
Earth Syst. Sci. Data, 13, 1251–1271, https://doi.org/10.5194/essd-13-1251-2021, https://doi.org/10.5194/essd-13-1251-2021, 2021
Short summary
Short summary
Viruses play key roles in marine ecosystems by killing their hosts, maintaining diversity and recycling nutrients. In the global viral oceanography database (gVOD), 10 931 viral abundance data and 727 viral production data, along with host and other oceanographic parameters, were compiled. It identified viral data were undersampled in the southeast Pacific and Indian oceans. The gVOD can be used in marine viral ecology investigation and modeling of marine ecosystems and biogeochemical cycles.
Damiano Righetti, Meike Vogt, Niklaus E. Zimmermann, Michael D. Guiry, and Nicolas Gruber
Earth Syst. Sci. Data, 12, 907–933, https://doi.org/10.5194/essd-12-907-2020, https://doi.org/10.5194/essd-12-907-2020, 2020
Short summary
Short summary
Phytoplankton sustain marine life, as they are the principal primary producers in the global ocean. Despite their ecological importance, their distribution and diversity patterns are poorly known, mostly due to data limitations. We present a global dataset that synthesizes over 1.3 million occurrences of phytoplankton from public archives. It is easily extendable. This dataset can be used to characterize phytoplankton distribution and diversity in current and future oceans.
Francesco Acri, Mauro Bastianini, Fabrizio Bernardi Aubry, Elisa Camatti, Alfredo Boldrin, Caterina Bergami, Daniele Cassin, Amelia De Lazzari, Stefania Finotto, Annalisa Minelli, Alessandro Oggioni, Marco Pansera, Alessandro Sarretta, Giorgio Socal, and Alessandra Pugnetti
Earth Syst. Sci. Data, 12, 215–230, https://doi.org/10.5194/essd-12-215-2020, https://doi.org/10.5194/essd-12-215-2020, 2020
Short summary
Short summary
The present paper describes a database containing observations for 21 parameters of abiotic, phytoplankton, and zooplankton data collected in the northern Adriatic Sea region (Italy) from 1965 to 2015. Due to the long temporal coverage, the majority of parameters changed collection and analysis method over time. These variations are reported in the database and detailed in the paper.
Irawan Asaad, Carolyn J. Lundquist, Mark V. Erdmann, and Mark J. Costello
Earth Syst. Sci. Data, 11, 163–174, https://doi.org/10.5194/essd-11-163-2019, https://doi.org/10.5194/essd-11-163-2019, 2019
Short summary
Short summary
This atlas is a compendium of geospatial online and open-access data describing biodiversity conservation in the Coral Triangle of the Indo-Pacific biogeographic realm. It consists of three sets of interlinked digital maps: (1) biodiversity features; (2) areas of importance for biodiversity conservation; and (3) recommended priorities for Marine Protected Area (MPA) Network Expansion. These maps provide the most comprehensive biodiversity datasets available to date for the region.
Dmitry Kondrik, Eduard Kazakov, and Dmitry Pozdnyakov
Earth Syst. Sci. Data, 11, 119–128, https://doi.org/10.5194/essd-11-119-2019, https://doi.org/10.5194/essd-11-119-2019, 2019
Short summary
Short summary
This paper presents a description of the original database of blooms of the calcifying phytoplankton in sub-Arctic and Arctic seas, their spatio-temporal features and associated environmental influences. This type of phytoplankton is efficient in decreasing the ability of the ocean to intake external carbon dioxide and hence amplifies the greenhouse effect. The published database can be used by a large community of users involved in studies of both aquatic ecology and carbon cycles.
Benjamin Roger Loveday and Timothy Smyth
Earth Syst. Sci. Data, 10, 2043–2054, https://doi.org/10.5194/essd-10-2043-2018, https://doi.org/10.5194/essd-10-2043-2018, 2018
Short summary
Short summary
A 40-year data set of ocean reflectance is derived from an atmospherically corrected climate quality record of top-of-atmosphere signals taken from the satellite-based AVHRR sensor. The data set provides a unique view of visible changes in the global ocean over timescales where climatic effects are demonstrable and spans coverage gaps left by more traditional satellite ocean colour sensors. It is particularly relevant to monitoring bright plankton blooms, such as coccolithophores.
Emanuele Organelli, Marie Barbieux, Hervé Claustre, Catherine Schmechtig, Antoine Poteau, Annick Bricaud, Emmanuel Boss, Nathan Briggs, Giorgio Dall'Olmo, Fabrizio D'Ortenzio, Edouard Leymarie, Antoine Mangin, Grigor Obolensky, Christophe Penkerc'h, Louis Prieur, Collin Roesler, Romain Serra, Julia Uitz, and Xiaogang Xing
Earth Syst. Sci. Data, 9, 861–880, https://doi.org/10.5194/essd-9-861-2017, https://doi.org/10.5194/essd-9-861-2017, 2017
Short summary
Short summary
Autonomous robotic platforms such as Biogeochemical-Argo floats allow observation of the ocean, from the surface to the interior, in a new and systematic way. A fleet of 105 of these platforms have collected several biological, biogeochemical, and optical variables in still unexplored regions. The quality-controlled databases presented here will enable scientists to improve knowledge on the functioning of marine ecosystems and investigate the climatic implications.
Angus Atkinson, Simeon L. Hill, Evgeny A. Pakhomov, Volker Siegel, Ricardo Anadon, Sanae Chiba, Kendra L. Daly, Rod Downie, Sophie Fielding, Peter Fretwell, Laura Gerrish, Graham W. Hosie, Mark J. Jessopp, So Kawaguchi, Bjørn A. Krafft, Valerie Loeb, Jun Nishikawa, Helen J. Peat, Christian S. Reiss, Robin M. Ross, Langdon B. Quetin, Katrin Schmidt, Deborah K. Steinberg, Roshni C. Subramaniam, Geraint A. Tarling, and Peter Ward
Earth Syst. Sci. Data, 9, 193–210, https://doi.org/10.5194/essd-9-193-2017, https://doi.org/10.5194/essd-9-193-2017, 2017
Short summary
Short summary
KRILLBASE is a data rescue and compilation project to improve the availability of information on two key Southern Ocean zooplankton: Antarctic krill and salps. We provide a circumpolar database that combines 15 194 scientific net hauls (1926 to 2016) from 10 countries. These data provide a resource for analysing the distribution and abundance of krill and salps throughout the Southern Ocean to support ecological and biogeochemical research as well as fisheries management and conservation.
Philipp Brun, Mark R. Payne, and Thomas Kiørboe
Earth Syst. Sci. Data, 9, 99–113, https://doi.org/10.5194/essd-9-99-2017, https://doi.org/10.5194/essd-9-99-2017, 2017
Short summary
Short summary
We compiled data to understand the organization of marine zooplankton based on their fundamental traits, such as body size or growth rate, rather than based on species names. Zooplankton, and in particular the dominant crustacean copepods, are central to marine food webs and the carbon cycle. The data include 14 traits and thousands of copepod species and may be used for comparisons between species or communities and ultimately to inspire better large-scale models of planktonic ecosystems.
Colleen B. Mouw, Audrey Barnett, Galen A. McKinley, Lucas Gloege, and Darren Pilcher
Earth Syst. Sci. Data, 8, 531–541, https://doi.org/10.5194/essd-8-531-2016, https://doi.org/10.5194/essd-8-531-2016, 2016
Short summary
Short summary
Particulate organic carbon (POC) flux estimated from POC concentration observations from sediment traps and 234Th are compiled across the global ocean. By providing merged coincident satellite imagery products, the dataset can be used to link phytoplankton surface process with POC flux. Due to rapid remineralization within the first 500 m of the water column, shallow observations from 234Th supplement the more extensive sediment trap record.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Hervé Claustre, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford Hooker, Mati Kahru, Holger Klein, Susanne Kratzer, Hubert Loisel, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Alex J. Poulton, Michel Repecaud, Timothy Smyth, Heidi M. Sosik, Michael Twardowski, Kenneth Voss, Jeremy Werdell, Marcel Wernand, and Giuseppe Zibordi
Earth Syst. Sci. Data, 8, 235–252, https://doi.org/10.5194/essd-8-235-2016, https://doi.org/10.5194/essd-8-235-2016, 2016
Short summary
Short summary
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Y. Yang, L. Hansson, and J.-P. Gattuso
Earth Syst. Sci. Data, 8, 79–87, https://doi.org/10.5194/essd-8-79-2016, https://doi.org/10.5194/essd-8-79-2016, 2016
Short summary
Short summary
The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation was initiated in 2008 and is updated on a regular basis. By January 2015, a total of 581 data sets (over 4,000,000 data points) from 539 papers had been archived.
B. Nechad, K. Ruddick, T. Schroeder, K. Oubelkheir, D. Blondeau-Patissier, N. Cherukuru, V. Brando, A. Dekker, L. Clementson, A. C. Banks, S. Maritorena, P. J. Werdell, C. Sá, V. Brotas, I. Caballero de Frutos, Y.-H. Ahn, S. Salama, G. Tilstone, V. Martinez-Vicente, D. Foley, M. McKibben, J. Nahorniak, T. Peterson, A. Siliò-Calzada, R. Röttgers, Z. Lee, M. Peters, and C. Brockmann
Earth Syst. Sci. Data, 7, 319–348, https://doi.org/10.5194/essd-7-319-2015, https://doi.org/10.5194/essd-7-319-2015, 2015
Short summary
Short summary
The CoastColour Round Robin (CCRR) project (European Space Agency) was designed to set up the first database for remote-sensing algorithm testing and accuracy assessment of water quality parameter retrieval in coastal waters, from satellite imagery. This paper analyses the CCRR database, which includes in situ bio-geochemical and optical measurements in various water types, match-up reflectance products from the MEdium Resolution Imaging Spectrometer (MERIS), and radiative transfer simulations.
R. Sauzède, H. Lavigne, H. Claustre, J. Uitz, C. Schmechtig, F. D'Ortenzio, C. Guinet, and S. Pesant
Earth Syst. Sci. Data, 7, 261–273, https://doi.org/10.5194/essd-7-261-2015, https://doi.org/10.5194/essd-7-261-2015, 2015
W. Melle, J. A. Runge, E. Head, S. Plourde, C. Castellani, P. Licandro, J. Pierson, S. H. Jónasdóttir, C. Johnson, C. Broms, H. Debes, T. Falkenhaug, E. Gaard, A. Gislason, M. R. Heath, B. Niehoff, T. G. Nielsen, P. Pepin, E. K. Stenevik, and G. Chust
Earth Syst. Sci. Data, 7, 223–230, https://doi.org/10.5194/essd-7-223-2015, https://doi.org/10.5194/essd-7-223-2015, 2015
P. Licandro, M. Blackett, A. Fischer, A. Hosia, J. Kennedy, R. R. Kirby, K. Raab, R. Stern, and P. Tranter
Earth Syst. Sci. Data, 7, 173–191, https://doi.org/10.5194/essd-7-173-2015, https://doi.org/10.5194/essd-7-173-2015, 2015
L.-Q. Jiang, S. A. O'Connor, K. M. Arzayus, and A. R. Parsons
Earth Syst. Sci. Data, 7, 117–125, https://doi.org/10.5194/essd-7-117-2015, https://doi.org/10.5194/essd-7-117-2015, 2015
Short summary
Short summary
With the rapid expansion of studies on biological responses of organisms to OA, the lack of a common metadata template to document the resulting data poses a significant hindrance to effective OA data management efforts. In this paper, we present a metadata template that can be applied to a broad spectrum of OA studies, including those studying the biological responses of organisms to OA. This paper defines best practices for documenting ocean acidification (OA) data.
G. Huse, B. R. MacKenzie, V. Trenkel, M. Doray, L. Nøttestad, and G. Oskarsson
Earth Syst. Sci. Data, 7, 35–46, https://doi.org/10.5194/essd-7-35-2015, https://doi.org/10.5194/essd-7-35-2015, 2015
J. K. Pinnegar, N. Goñi, V. M. Trenkel, H. Arrizabalaga, W. Melle, J. Keating, and G. Óskarsson
Earth Syst. Sci. Data, 7, 19–28, https://doi.org/10.5194/essd-7-19-2015, https://doi.org/10.5194/essd-7-19-2015, 2015
Short summary
Short summary
This work describes a 148-year compilation of stomach content data for five pelagic fish species (herring, blue whiting, mackerel, albacore and bluefin tuna) sampled over a broad geographic region of the northeast Atlantic. We describe the main results in terms of diet composition and predator–prey relationships. The analyses suggests significant differences in the prey items selected by predators in different parts of the area at different times of year.
P. Lehodey, I. Senina, A.-C. Dragon, and H. Arrizabalaga
Earth Syst. Sci. Data, 6, 317–329, https://doi.org/10.5194/essd-6-317-2014, https://doi.org/10.5194/essd-6-317-2014, 2014
S. Torres Valdés, S. C. Painter, A. P. Martin, R. Sanders, and J. Felden
Earth Syst. Sci. Data, 6, 123–145, https://doi.org/10.5194/essd-6-123-2014, https://doi.org/10.5194/essd-6-123-2014, 2014
F. A. C. Le Moigne, S. A. Henson, R. J. Sanders, and E. Madsen
Earth Syst. Sci. Data, 5, 295–304, https://doi.org/10.5194/essd-5-295-2013, https://doi.org/10.5194/essd-5-295-2013, 2013
R. Moriarty, E. T. Buitenhuis, C. Le Quéré, and M.-P. Gosselin
Earth Syst. Sci. Data, 5, 241–257, https://doi.org/10.5194/essd-5-241-2013, https://doi.org/10.5194/essd-5-241-2013, 2013
C. J. O'Brien, J. A. Peloquin, M. Vogt, M. Heinle, N. Gruber, P. Ajani, H. Andruleit, J. Arístegui, L. Beaufort, M. Estrada, D. Karentz, E. Kopczyńska, R. Lee, A. J. Poulton, T. Pritchard, and C. Widdicombe
Earth Syst. Sci. Data, 5, 259–276, https://doi.org/10.5194/essd-5-259-2013, https://doi.org/10.5194/essd-5-259-2013, 2013
J. Peloquin, C. Swan, N. Gruber, M. Vogt, H. Claustre, J. Ras, J. Uitz, R. Barlow, M. Behrenfeld, R. Bidigare, H. Dierssen, G. Ditullio, E. Fernandez, C. Gallienne, S. Gibb, R. Goericke, L. Harding, E. Head, P. Holligan, S. Hooker, D. Karl, M. Landry, R. Letelier, C. A. Llewellyn, M. Lomas, M. Lucas, A. Mannino, J.-C. Marty, B. G. Mitchell, F. Muller-Karger, N. Nelson, C. O'Brien, B. Prezelin, D. Repeta, W. O. Jr. Smith, D. Smythe-Wright, R. Stumpf, A. Subramaniam, K. Suzuki, C. Trees, M. Vernet, N. Wasmund, and S. Wright
Earth Syst. Sci. Data, 5, 109–123, https://doi.org/10.5194/essd-5-109-2013, https://doi.org/10.5194/essd-5-109-2013, 2013
R. Moriarty and T. D. O'Brien
Earth Syst. Sci. Data, 5, 45–55, https://doi.org/10.5194/essd-5-45-2013, https://doi.org/10.5194/essd-5-45-2013, 2013
C. Guinet, X. Xing, E. Walker, P. Monestiez, S. Marchand, B. Picard, T. Jaud, M. Authier, C. Cotté, A. C. Dragon, E. Diamond, D. Antoine, P. Lovell, S. Blain, F. D'Ortenzio, and H. Claustre
Earth Syst. Sci. Data, 5, 15–29, https://doi.org/10.5194/essd-5-15-2013, https://doi.org/10.5194/essd-5-15-2013, 2013
N. Bednaršek, J. Možina, M. Vogt, C. O'Brien, and G. A. Tarling
Earth Syst. Sci. Data, 4, 167–186, https://doi.org/10.5194/essd-4-167-2012, https://doi.org/10.5194/essd-4-167-2012, 2012
K. Leblanc, J. Arístegui, L. Armand, P. Assmy, B. Beker, A. Bode, E. Breton, V. Cornet, J. Gibson, M.-P. Gosselin, E. Kopczynska, H. Marshall, J. Peloquin, S. Piontkovski, A. J. Poulton, B. Quéguiner, R. Schiebel, R. Shipe, J. Stefels, M. A. van Leeuwe, M. Varela, C. Widdicombe, and M. Yallop
Earth Syst. Sci. Data, 4, 149–165, https://doi.org/10.5194/essd-4-149-2012, https://doi.org/10.5194/essd-4-149-2012, 2012
M. Vogt, C. O'Brien, J. Peloquin, V. Schoemann, E. Breton, M. Estrada, J. Gibson, D. Karentz, M. A. Van Leeuwe, J. Stefels, C. Widdicombe, and L. Peperzak
Earth Syst. Sci. Data, 4, 107–120, https://doi.org/10.5194/essd-4-107-2012, https://doi.org/10.5194/essd-4-107-2012, 2012
E. T. Buitenhuis, W. K. W. Li, M. W. Lomas, D. M. Karl, M. R. Landry, and S. Jacquet
Earth Syst. Sci. Data, 4, 101–106, https://doi.org/10.5194/essd-4-101-2012, https://doi.org/10.5194/essd-4-101-2012, 2012
E. T. Buitenhuis, W. K. W. Li, D. Vaulot, M. W. Lomas, M. R. Landry, F. Partensky, D. M. Karl, O. Ulloa, L. Campbell, S. Jacquet, F. Lantoine, F. Chavez, D. Macias, M. Gosselin, and G. B. McManus
Earth Syst. Sci. Data, 4, 37–46, https://doi.org/10.5194/essd-4-37-2012, https://doi.org/10.5194/essd-4-37-2012, 2012
A.-M. Nisumaa, S. Pesant, R. G. J. Bellerby, B. Delille, J. J. Middelburg, J. C. Orr, U. Riebesell, T. Tyrrell, D. Wolf-Gladrow, and J.-P. Gattuso
Earth Syst. Sci. Data, 2, 167–175, https://doi.org/10.5194/essd-2-167-2010, https://doi.org/10.5194/essd-2-167-2010, 2010
Cited articles
Antoine, D. and Morel, A.: Oceanic primary production 1. Adaptation of a spectral light-photosynthesis model in view of application to satellite chlorophyll observations, Global Biogeochem. Cy., 10, 43–55, 1996.
Babin, M., Morel, A., and Gagnon, R: An incubator designed for extensive and sensitive measurements of phytoplankton photosynthetic parameters, Limnol. Oceanogr., 39, 694–702, 1994.
Babin, M., Morel, A., Claustre, H., Bricaud, A., Kolber, Z., and Falkowski, P. J.: Nitrogen- and irradiance-dependent variations of maximum quantum yield of carbon fixation in eutrophic, mesotrophic and oligotrophic marine systems, Deep-Sea Res., 43, 1241–1272, 1996.
Behrenfeld, M. J., Prasil, O., Babin, M., and Bruyant, F.: In search of a physiological basis for covariations in light-limited and light-saturated photosynthesis, J. Phycol., 40, 4–25, 2004.
Bouman, H. A., Platt, T., Sathyendranath, S., Irwin, B. D., Wernand, M. R., and Kraay, G. W.: Bio-optical properties of the subtropical North Atlantic. II. Relevance to models of primary production, Mar. Ecol.-Prog. Ser., 200, 19–34, 2000a.
Bouman, H. A., Platt, T., Kraay, G. W., Sathyendranath, S., and Irwin, B. D.: Bio-optical properties of the subtropical North Atlantic. I. Vertical variability, Mar. Ecol.-Prog. Ser., 200, 3–18, 2000b.
Bouman, H. A., Platt, T., Sathyendranath, S., and Stuart, V.: Dependence of light-saturated photosynthesis on temperature and community structure, Deep-Sea Res. Pt .I, 52, 1284–1299, 2005.
Bouman, H. A., Platt, T., Doblin, M. A., Figueiras, F. G., Gudmundsson, K., Gudfinnsson, H. G., Huang, B., Hickman, A., Hiscock, M. R., Jackson, T., Lutz, V. A., Melin, F., Rey, F., Pepin, P., Segura, V., Tilstone, G., van Dongen-Vogels, V., and Sathyendranath, S.: A global dataset of photosynthesis-irradiance parameters for marine phytoplankton, https://doi.org/10.1594/PANGAEA.874087, 2017.
Bracher, A., Bouman, H. A., Brewin, R. J. W., Bricaud, A., Brotas, V., Ciotti, A. M., Clementson, L., Devred, E., Di Cicco, A., Dutkiewicz, S., Hardman-Mountford, N. J., Hickman, A. E., Hieronymi, M., Hirata, T., Losa, S. N., Mouw, C. B., Organelli, E., Raitsos, D. E., Uitz, J., Vogt, M., and Wolanin, A.: Obtaining phytoplankton diversity from ocean color: a scientific roadmap for future development, Front. Mar. Sci., 4, 55, https://doi.org/10.3389/fmars.2017.00055, 2017.
Bruyant, F., Babin, M. Genty, B., Prasil, O., Berhrenfeld, M. J., Claustre, H., Bricaud, A., Garczarek, L., Holtzendorff, J., Koblizek, M., Dousova, H., and Partensky, F.: Diel variations in the photosynthetic parameters of Prochlorococcus strain PCC 9511: combined effects of light and cell cycle, Limnol. Oceanogr., 50, 850–863, 2005.
Buitenhuis, E. T., Li, W. K. W., Vaulot, D., Lomas, M. W., Landry, M. R., Partensky, F., Karl, D. M., Ulloa, O., Campbell, L., Jacquet, S., Lantoine, F., Chavez, F., Macias, D., Gosselin, M., and McManus, G. B.: Picophytoplankton biomass distribution in the global ocean, Earth Syst. Sci. Data, 4, 37–46, https://doi.org/10.5194/essd-4-37-2012, 2012.
Carr, M. E., Friedrichs, M., Schmeltz, M., NoguchiAita, M., Antoine, D., Arrigo, K. R., Asanuma, I., Aumont, O., Barber, R., Behrenfeld, M. J., Bidigare, R., Buitenhuis, E., Campbell, J. W., Ciotti, A., Dierssen, H. M., Dowell, M., Dunne, J., Esaias, W., Gentili, B., Gregg, W. W., Groom, S. B., Hoepffner, N., Ishizaka, J., Kameda, T., Le Quere, C., Lohrenz, S., Marra, J., Mélin, F., Moore, K., Morel, A., Reddy, T., Ryan, J., Scardi, M., Smyth, T., Turpie, K., Tilstone, G. H., Waters, K., and Yamanaka, Y.: A comparison of global estimates of marine primary production from ocean color, Deep-Sea Res. Pt. II, 53, 741–770, 2006.
Cullen, J. J.: The deep chlorophyll maximum: comparing vertical profiles of chlorophyll a, Can. J. Fish. Aquat. Sci., 39, 791–803, 1982.
Cullen, J. J., Lewis, M. R., Davis, C. O., and Barber, R. T.: Photosynthetic characteristics and estimated growth rates indicate grazing is the proximate control of primary production in the equatorial Pacific, J. Geophys. Res., 97, 639–654, 1992.
Côté, B. and Platt, T.: Day-to-day variations in the spring-summer photosynthetic parameters of coastal marine phytoplankton, Limnol. Oceanogr., 28, 320–344, 1983.
Côté, B. and Platt, T.: Utility of the light-saturation curve as an operational model for quantifying the effects of environmental conditions on phytoplankton photosynthesis, Mar. Ecol.-Prog. Ser., 18, 57–66, 1984.
Devred, E., Sathyendranath, S., and Platt, T.: Delineation of ecological provinces using ocean colour radiometry, Mar. Ecol.-Prog. Ser., 346, 1–13, 2007.
Dogliotti, A. I., Lutz, V. A., and Segura, V.: Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data, Remote Sens. Environ., 140, 497–508, 2014.
Geider, R. J. and Osborne, B. A.: Algal Photosynthesis: The Measurement of Gas Exchange and Related Processes, Chapman and Hall, New York, 256 pp., 1991.
Geider, R. J, MacIntyre, H. L., and Kana, T. M.: A dynamic model of photoadaptation in phytoplankton, Limnol. Oceanogr., 41, 1–15, 1996.
Griffiths, F. B., Bates, T. S., Quinn, P. K., Clementson, L. A., and Parslow, J. S.: Oceanographical context of the first Aerosol Characterisation Experiment (ACE-1): a physical, chemical and biological overview, J. Geophys. Res., 104, 21649–21671, 1999.
Gudmundsson, K.: Long-term variation in phytoplankton productivity during spring in Icelandic waters, ICES J. Mar. Sci., 55, 635–643, 1998.
Hanson, C. E., Pattiaratchi, C. B., Waite, A. M.: Sporadic upwelling on a downwelling coast: phytoplankton responses to spatially variable nutrient dynamics off the Gascoyne region of Western Australia, Cont. Shelf Res., 25, 1561–1582, 2005a.
Hanson, C. E., Pattiaratchi, C. B., and Waite, A. M.: Seasonal production regimes off south-western Australia: influence of the Capes and Leeuwin Currents on phytoplankton dynamics, Mar. Freshwater Res., 56, 1011–1026, 2005b.
Harding, L. W., Meeson, B. W., and Tyler, M. A.: Photoadaptation and diel periodicity of photosynthesis in the dinoflagellate Prorocentrum mariaelebouriae, Mar. Ecol.-Prog. Ser., 13, 73–85, 1983.
Harrison, W. G. and Platt, T.: Photosynthesis–irradiance relationships in polar and temperate phytoplankton populations, Polar Biol., 5, 153–164, 1986.
Hickman, A. E.: The photophysiology and primary productivity of phytoplankton within the deep chlorophyll maximum, doctoral thesis, University of Southampton, Southampton, UK, 237 pp., 2007.
Hiscock, M. R.: The regulation of primary productivity in the Southern Ocean, doctoral thesis, Duke University, Beaufort, USA, 120 pp., 2004.
Hiscock, M. R., Marra, J., Smith Jr., W. O., Goericke, R., Measures, C., Vink, S., Olson, R. J., Sosik, H. M., and Barber, R. T.: Primary productivity and its regulation in the Pacific Sector of the Southern Ocean, Deep-Sea Res. Pt. II, 50, 533–558, 2003.
Holm-Hansen, O., Lorenzen, C. J., Holmes, R. W., and Strickland, J. D. H.: Fluorometric determination of chlorophyll, J. Cons. Perm. Int. Explor. Mer., 30, 3–15, 1965.
Huot, Y., Babin, M., Bruyant, F., Grob, C., Twardowski, M. S., and Claustre, H.: Relationship between photosynthetic parameters and different proxies of phytoplankton biomass in the subtropical ocean, Biogeosciences, 4, 853–868, https://doi.org/10.5194/bg-4-853-2007, 2007.
Huot, Y., Babin, M., and Bruyant, F.: Photosynthetic parameters in the Beaufort Sea in relation to the phytoplankton community structure, Biogeosciences, 10, 3445–3454, https://doi.org/10.5194/bg-10-3445-2013, 2013.
Jackson, T.: Phytoplankton community structure, photophysiology and primary production in the Atlantic Arctic, doctoral thesis, University of Oxford, Oxford, UK, 222 pp., 2013.
Jassby, A. D. and Platt, T.: Mathematical formulation of the relationship between photosynthesis and light for phytoplankton, Limnol. Oceanogr., 21, 540–547, 1976.
Johnson, Z. I., Zinser, E. R., Coe, A., McNulty, N. P., Woodward, E. M. S., and Chisholm, S. W.: Niche partitioning among Prochlorococcus ecotypes along ocean-scale environmental gradients, Science, 311, 1737–40, 2006.
Kyewalyanga, M. N., Platt, T., and Sathyendranath, S.: Estimation of the photosynthetic action spectrum: implication for primary production models, Mar. Ecol.-Prog. Ser., 146, 207–223, 1997.
Kyewalyanga, M. N., Platt, T., Sathyendranath, S., Lutz, V. A., and Stuart, V.: Seasonal variation in physiological parameters of phytoplankton across the North Atlantic, J. Plankton Res., 20, 17–42, 1998.
Lawrenz, E., Silsbe, G., Capuzzo, E., Ylöstalo, P., Forster, R. M., Simis, S. G. H., Prásil, O., Kromkamp, J. C., Hickman, A. E., Moore, C. M., Forget, M.-H., Geider, R. J., and Suggett, D. J.: Predicting the electron requirement for carbon fixation in seas and oceans, PLoS ONE, 8, e58137, https://doi.org/10.1371/journal.pone.0058137, 2013.
Lee, Y. J., Matrai, P. A., Friedrichs, M. A. M., Saba, V. S., Antoine, D., Ardyna, M., Asanuma, I., Babin, M., Bélanger, S., Benoît-Gagné, M., Devred, E., Fernández-Méndez, M., Gentili, B., Hirawake, T., Kang, S.-H., Kameda, T., Katlein, C., Lee, S. H., Lee, Z., Mélin, F., Scardi, M., Smyth, T. J., Tang, S., Turpie, K. R., Waters, K. J., and Westberry, T. K.: An assessment of phytoplankton primary productivity in the Arctic Ocean from satellite ocean color/in situ chlorophyll a based models, J. Geophys. Res., 120, 6508–6541, 2015.
Le Quéré, C., Harrison, S. P., Prentice, I. C., Buitenhuis, E. T., Aumont, O., Bopp, L., Claustre, H., da Cunha, L. C., Geider, R., Giraud, X., Klaas, C., Kohfeld, K. E., Legendre, L., Manizza, M., Platt, T., Rivkin, R. B., Sathyendranath, S., Uitz, J., Watson, A. J., and Wolf-Gladrow, D.: Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models, Glob. Change Biol., 11, 2016–2040, 2005.
Lewis, M. R. and Smith, J. C.: A small volume, short-incubation time method for measurement of photosynthesis as a function of incident irradiance, Mar. Ecol.-Prog. Ser., 13, 99–102, 1983.
Longhurst, A. R.: Ecological Geography of the Sea, Academic Press, London, 2007.
Longhurst, A., Sathyendranath, S., Platt, T., and Caverhill, C.: An estimate of global primary production in the ocean from satellite radiometer data, J. Plankton Res., 17, 1245–1271, 1995.
Lorenzo, L. M., Arbones, B., Figueiras, F. G., Tilstone, G. H., and Figueroa, F. L.: Photosynthesis, primary production and phytoplankton growth rates in Gerlache and Bransfield Straits during Austral summer: cruise FRUELA 95, Deep-Sea Res. Pt. II, 49, 707–721, 2002.
Lutz, V. A., Segura, V., Dogliotti, A. I., Gagliardini, D. A., Bianchi, A. A., and Balestrini, C. F.: Primary production in the Argentine Sea during spring estimated by field and satellite models, J. Plankton Res., 32, 181–195, 2010.
MacCaull, W. A. and Platt. T.: Die1 variations in the photosynthetic parameters of coastal marine phytoplankton, Limnol. Oceanogr., 22, 723–731, 1977.
MacIntyre, H. L., Kana, T. M., Anning, T., and Geider, R. J.: Photoacclimation of photosynthesis irradiance response curves and photosynthetic pigments in microalgae and cyanobacteria, J. Phycol., 38, 17–38, 2002.
Mackey, D. J., Parslow, J. S., Higgins, H. W., griffiths, F. B., and O'Sullivan, J. E.: Plankton productivity and biomass in the western equatorial Pacific: biological and physical controls, Deep-Sea Res. Pt. II, 42, 499–533, 1995.
Mantoura, R. F. C., Jeffrey, S. W., Llewellyn, C. A., Claustre, H., and Morales, C. E.: Comparison between spectrophotometric, fluorometric and HPLC methods for chlorophyll analysis, in: Phytoplankton Pigments in Oceanography: Guidelines to Modern Methods, edited by: Jeffrey, S. W., Mantoura, R. F. C., and Wright, S. W., UNESCO, Paris, p. 361, 1997.
Nair, A., Sathyendranath, S., Platt, T., Morales, J., Stuart, V., Forget, M.-H., Devred, E., and Bouman, H.: Remote sensing of phytoplankton functional types, Remote Sens. Environ., 112, 3366–3375, 2008.
Pálsson, Ó. K., Gislason, A., Guðfinnsson, H. G., Gunnarsson, B., Ólafsdóttir, S. R., Petursdottir, H., Sveinbjörnsson, S., Thorisson, K., and Valdimarsson, H. Ecosystem structure in the Iceland Sea and recent changes to the capelin (Mallotus villosus) population, ICES J. Mar. Sci., 69, 1242–1254, https://doi.org/10.1093/icesjms/fss071, 2012.
Peloquin, J., Swan, C., Gruber, N., Vogt, M., Claustre, H., Ras, J., Uitz, J., Barlow, R., Behrenfeld, M., Bidigare, R., Dierssen, H., Ditullio, G., Fernandez, E., Gallienne, C., Gibb, S., Goericke, R., Harding, L., Head, E., Holligan, P., Hooker, S., Karl, D., Landry, M., Letelier, R., Llewellyn, C. A., Lomas, M., Lucas, M., Mannino, A., Marty, J.-C., Mitchell, B. G., Muller-Karger, F., Nelson, N., O'Brien, C., Prezelin, B., Repeta, D., Jr. Smith, W. O., Smythe-Wright, D., Stumpf, R., Subramaniam, A., Suzuki, K., Trees, C., Vernet, M., Wasmund, N., and Wright, S.: The MAREDAT global database of high performance liquid chromatography marine pigment measurements, Earth Syst. Sci. Data, 5, 109–123, https://doi.org/10.5194/essd-5-109-2013, 2013.
Platt, T. and Jassby, A. D.: The relationship between photosynthesis and light for natural assemblages of coastal marine phytoplankton, J. Phycol., 12, 421–430, 1976.
Platt, T., Gallegos, C. L., and Harrison, W. G.: Photoinhibition of photosynthesis in natural assemblages of marine phytoplankton, J. Mar. Res., 38, 687–701, 1980.
Platt, T., Harrison, G., Irwin, B., and Horne, E. P.: Photosynthesis and photoadaptation in the arctic, Deep-Sea Res. Pt. I, 29, 1159–1170, 1982.
Platt, T., Sathyendranath, S., Joint, I., and Fasham, M. J. R.: Photosynthesis characteristics of phytoplankton in the Celtic Sea during late spring, Fish. Oceanogr., 2, 191–201, 1993.
Platt, T. and Sathyendranath, S.: Latitude as a factor in the calculation of primary production, in: Ecology of Fjords and Coastal Waters, edited by: Skjoldal, H. R., Hopkins, C., Erikstad, K. E., and Leinaas, H. P., Elsevier Science, Tromsø, Norway, 1995.
Platt, T., Sathyendranath, S., Forget, M.-H., White III, G. N., Caverhill, C., Bouman, H., Devred, E., and Son, S.: Operational estimation of primary production at large geographical scales, Remote Sens. Environ., 112, 3437–3448, 2008.
Prézelin, B. B., Meeson, B. W., and Sweeney, B. M.: Characterization of photosynthetic rhythms in marine dinoflagellates. 1. Pigmentation, photosynthetic capacity and respiration, Plant Physiol., 60, 384–387, 1977.
Prézelin, B. B., Putt, M., and Glover, H. E.: Diurnal patterns in photosynthetic capacity and depth-dependent photosynthesis–irradiance relationships in Synechococcus spp., and larger phytoplankton in three water masses in the northwest Atlantic Ocean, Mar. Biol., 92, 205–217, 1986.
Prézelin, B. B., Glover, H. R., Ver Hoven, B. M., Stenberg, D., Matlick, H. A., Schofield, O., Nelson, N. B., Wyman, M., and Campbell, L.: Blue-green light effects on light-limited rates of photosynthesis: relationship to pigmentation and productivity estimates for Synechococcus populations from the Sargasso Sea, Mar. Ecol.-Prog. Ser., 54, 121–136, 1989.
Puxty, R. J., Millard, A. D., Evans, D. J., and Scanlan, D. J.: Viruses inhibit CO2 fixation in the most abundant phototrophs on earth, Curr. Biol., 26, 1585–1589, 2016.
Rey, F.: Photosynthesis–irradiance relationships in natural phytoplankton populations of the Barents Sea, Polar Res., 10, 105–116, 1991.
Sakshaug, E., Bricaud, A., Dandonneau, Y., Falkowski, P. G., Kiefer, D. A., Legendre, L., Morel, A., Parslow, J., and Takahashi, M.: Parameters of photosynthesis: definitions, theory and interpretation of results, J. Plankton Res., 19, 1637–1670, 1997.
Sathyendranath, S., Stuart, V., Irwin, B. D., Maass, H., Savidge, G., Gilpin, L., and Platt, T.: Seasonal variation in bio-optical properties of phytoplankton in the Arabian Sea (1999), Deep-Sea Res. Pt. II, 46, 633–353, 1999.
Sathyendranath, S., Stuart, V., Nair, A., Oka, K., Nakane, T., Bouman, H., Forget, M.-H., Maass, H., and Platt, T.: Carbon-to-chlorophyll ratio and growth rate of phytoplankton in the sea, Mar. Ecol.-Prog. Ser., 383, 73–84, 2009.
Saux-Picart, S., Sathyendranath, S., Dowell, M., Moore, T., and Platt, T.: Remote sensing of assimilation number for marine phytoplankton, Remote Sens. Env., 146, 87–96, 2014.
Schofield, O., Prézelin, B. B., Smith, R. C., Stegmann, P. M., Nelson, N. B., Lewis, M. R., and Baker, K. S.: Variability in spectral and nonspectral measurements of photosynthetic light utilization efficiencies, Mar. Ecol.-Prog. Ser., 78, 253–271, 1991.
Segura, V., Lutz, V. A., Dogliotti, A. I., Silva, R., Negri, R., Akselman, R., and Benavides, H.: Phytoplankton functional types and primary production in the Argentine Sea, Mar. Ecol.-Prog. Ser., 491, 15–31, 2013.
Smith Jr., W. O. and Donaldson, K.: Photosynthesis–irradiance responses in the Ross Sea, Antarctica: a meta-analysis, Biogeosciences, 12, 3567–3577, https://doi.org/10.5194/bg-12-3567-2015, 2015.
Swan, C., Vogt, M., Gruber, N., and Laugkoetter, C.: A global seasonal surface ocean climatology of phytoplankton types based on CHEMTAX analysis of HPLC pigments, Deep-Sea Res. Pt. I, 109, 137–156, https://doi.org/10.1016/j.dsr.2015.12.002, 2015.
Tilstone, G. H., Figueiras, F. G., Lorenzo, L. M., and Arbones, B.: Phytoplankton composition, photosynthesis and primary production during different hydrographic conditions at the Northwest Iberian upwelling system, Mar. Ecol.-Prog. Ser., 252, 89–104, 2003.
Ulloa, O., Hoepffner, N., and Larkin, D.: Depth and wavelength dependence of phytoplankton photosynthesis: implications for the remote sensing of marine primary production, Proc. SPIE 2963, Ocean Optics XIII, 1996, Halifax, Nova Scotia, Canada, https://doi.org/10.1117/12.266456, 1997.
Webb, W. L., Newton, M., and Starr, D.: Carbon dioxide exchange of Alnus rubra: a mathematical model, Oecologia, 17, 281–291, 1974.
Westwood, K. J., Griffiths, F. B., Webb, J. P., and Wright, S. W.: Primary production in the Sub-Antarctic and Polar Frontal zones south of Tasmania, Australia; SAZ-Sense survey, 2007, Deep-Sea Res. Pt. II, 58, 2162–2178, 2011.
Xie, Y., Bangqin, H., Lin, L., Laws, E. A., Wang, L., Shang, S., Zhang, T., and Dai, M.: Photosynthetic parameters in the northern South China Sea in relation to phytoplankton community structure, J. Geophys. Res., 120, 4187–4204, https://doi.org/10.1002/2014JC010415, 2015.
Zhai, L., Gudmundsson, K., Miller, P., Peng, W., Guòfinnsson, H., Debes, H., Hátún, H., White III, G. N., Walls, R. H., Sathyendranath, S., and Platt, T.: Phytoplankton phenology and production around Iceland and Faroes, Cont. Shelf Res., 37, 15–25, 2012.
Zwirglmaier, K., Heywood, J. L., Chamberlain, K., Woodward, E. M. S., Zubkov, M. V., and Scanlan, D. J.: Basin-scale distribution patterns of picocyanobacterial lineages in the Atlantic Ocean, Environ. Microbiol., 9, 1278–1290, 2007.
Short summary
The photosynthetic response of marine phytoplankton to available irradiance is a central part of satellite-based models of ocean productivity. This study brings together data from a variety of oceanographic campaigns to examine how the parameters of photosynthesis–irradiance response curves vary over the global ocean. This global synthesis reveals biogeographic, latitudinal and depth-dependent patterns in the photosynthetic properties of natural phytoplankton assemblages.
The photosynthetic response of marine phytoplankton to available irradiance is a central part of...
