Muller-Karger Frank

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Muller-Karger

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Frank

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0000-0003-3159-5011

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Carbon cycling in the North American coastal ocean: a synthesis

(European Geosciences Union, 2019-03-27) Fennel, Katja ; Alin, Simone R. ; Barbero, Leticia ; Evans, Wiley ; Bourgeois, Timothée ; Cooley, Sarah R. ; Dunne, John P. ; Feely, Richard A. ; Hernandez-Ayon, Jose Martin ; Hu, Xinping ; Lohrenz, Steven E. ; Muller-Karger, Frank E. ; Najjar, Raymond G. ; Robbins, Lisa ; Shadwick, Elizabeth H. ; Siedlecki, Samantha A. ; Steiner, Nadja ; Sutton, Adrienne J. ; Turk, Daniela ; Vlahos, Penny ; Wang, Zhaohui Aleck

A quantification of carbon fluxes in the coastal ocean and across its boundaries with the atmosphere, land, and the open ocean is important for assessing the current state and projecting future trends in ocean carbon uptake and coastal ocean acidification, but this is currently a missing component of global carbon budgeting. This synthesis reviews recent progress in characterizing these carbon fluxes for the North American coastal ocean. Several observing networks and high-resolution regional models are now available. Recent efforts have focused primarily on quantifying the net air–sea exchange of carbon dioxide (CO2). Some studies have estimated other key fluxes, such as the exchange of organic and inorganic carbon between shelves and the open ocean. Available estimates of air–sea CO2 flux, informed by more than a decade of observations, indicate that the North American Exclusive Economic Zone (EEZ) acts as a sink of 160±80 Tg C yr−1, although this flux is not well constrained. The Arctic and sub-Arctic, mid-latitude Atlantic, and mid-latitude Pacific portions of the EEZ account for 104, 62, and −3.7 Tg C yr−1, respectively, while making up 51 %, 25 %, and 24 % of the total area, respectively. Combining the net uptake of 160±80 Tg C yr−1 with an estimated carbon input from land of 106±30 Tg C yr−1 minus an estimated burial of 65±55 Tg C yr−1 and an estimated accumulation of dissolved carbon in EEZ waters of 50±25 Tg C yr−1 implies a carbon export of 151±105 Tg C yr−1 to the open ocean. The increasing concentration of inorganic carbon in coastal and open-ocean waters leads to ocean acidification. As a result, conditions favoring the dissolution of calcium carbonate occur regularly in subsurface coastal waters in the Arctic, which are naturally prone to low pH, and the North Pacific, where upwelling of deep, carbon-rich waters has intensified. Expanded monitoring and extension of existing model capabilities are required to provide more reliable coastal carbon budgets, projections of future states of the coastal ocean, and quantification of anthropogenic carbon contributions.
A modern coastal ocean observing system using data from advanced satellite and in situ sensors – an example

(NSF/Ocean Research Coordination Network, 2015-06-01) Yoder, James A. ; Davis, Curtiss O. ; Dierssen, Heidi M. ; Muller-Karger, Frank E. ; Mahadevan, Amala ; Pearlman, Jay ; Sosik, Heidi M.

This report is intended to illustrate and provide recommendations for how ocean observing systems of the next decade could focus on coastal environments using combined satellite and in situ measurements. Until recently, space-based observations have had surface footprints typically spanning hundreds of meters to kilometers. These provide excellent synoptic views for a wide variety of ocean characteristics. In situ observations are instead generally point or linear measurements. The interrelation between space-based and in-situ observations can be challenging. Both are necessary and as sensors and platforms evolve during the next decade, the trend to facilitate interfacing space and in-situ observations must continue and be expanded. In this report, we use coastal observation and analyses to illustrate an observing system concept that combines in situ and satellite observing technologies with numerical models to quantify subseasonal time scale transport of freshwater and its constituents from terrestrial water storage bodies across and along continental shelves, as well as the impacts on some key biological/biogeochemical properties of coastal waters.
Satellite remote sensing and the Marine Biodiversity Observation Network: current science and future steps

(Oceanography Society, 2021-11-09) Kavanaugh, Maria T. ; Bell, Tom W. ; Catlett, Dylan ; Cimino, Megan A. ; Doney, Scott C. ; Klajbor, Willem ; Messie, Monique ; Montes, Enrique ; Muller-Karger, Frank E. ; Otis, Daniel ; Santora, Jarrod A ; Schroeder, Isaac D. ; Trinanes, Joaquin ; Siegel, David A.

Coastal ecosystems are rapidly changing due to human-caused global warming, rising sea level, changing circulation patterns, sea ice loss, and acidification that in turn alter the productivity and composition of marine biological communities. In addition, regional pressures associated with growing human populations and economies result in changes in infrastructure, land use, and other development; greater extraction of fisheries and other natural resources; alteration of benthic seascapes; increased pollution; and eutrophication. Understanding biodiversity is fundamental to assessing and managing human activities that sustain ecosystem health and services and mitigate humankind’s indiscretions. Remote-sensing observations provide rapid and synoptic data for assessing biophysical interactions at multiple spatial and temporal scales and thus are useful for monitoring biodiversity in critical coastal zones. However, many challenges remain because of complex bio-optical signals, poor signal retrieval, and suboptimal algorithms. Here, we highlight four approaches in remote sensing that complement the Marine Biodiversity Observation Network (MBON). MBON observations help quantify plankton community composition, foundation species, and unique species habitat relationships, as well as inform species distribution models. In concert with in situ observations across multiple platforms, these efforts contribute to monitoring biodiversity changes in complex coastal regions by providing oceanographic context, contributing to algorithm and indicator development, and creating linkages between long-term ecological studies, the next generations of satellite sensors, and marine ecosystem management.
Editorial: Oceanobs19: An ocean of opportunity

(Frontiers Media, 2019-09-06) Speich, Sabrina ; Lee, Tong ; Muller-Karger, Frank E. ; Lorenzoni, Laura ; Pascual, Ananda ; Jin, Di ; Delory, Eric ; Reverdin, Gilles ; Siddorn, John ; Lewis, Marlon R. ; Marba, Nuria ; Buttigieg, Pier Luigi ; Chiba, Sanae ; Manley, Justin ; Kabo-Bah, Amos Tiereyangn ; Desai, Kruti ; Ackerman, Abby

The OceanObs conferences are held once every 10 years for the scientific, technical, and operational communities involved in the planning, implementation, and use of ocean observing systems. They serve to communicate progress, promote plans, and to define advances in ocean observing in response to societies' needs. Each conference provides a forum for the community to review the state of the ocean observing science and operations, and to define goals and plans to achieve over the next decade.
Seascapes as a new vernacular for pelagic ocean monitoring, management and conservation

(Oxford University Press, 2016-07-18) Kavanaugh, Maria T. ; Oliver, Matthew J. ; Chavez, Francisco P. ; Letelier, Ricardo M. ; Muller-Karger, Frank E. ; Doney, Scott C.

For terrestrial and marine benthic ecologists, landscape ecology provides a framework to address issues of complexity, patchiness, and scale—providing theory and context for ecosystem based management in a changing climate. Marine pelagic ecosystems are likewise changing in response to warming, changing chemistry, and resource exploitation. However, unlike spatial landscapes that migrate slowly with time, pelagic seascapes are embedded in a turbulent, advective ocean. Adaptations from landscape ecology to marine pelagic ecosystem management must consider the nature and scale of biophysical interactions associated with organisms ranging from microbes to whales, a hierarchical organization shaped by physical processes, and our limited capacity to observe and monitor these phenomena across global oceans. High frequency, multiscale, and synoptic characterization of the 4-D variability of seascapes are now available through improved classification methods, a maturing array of satellite remote sensing products, advances in autonomous sampling of multiple levels of biological complexity, and emergence of observational networks. Merging of oceanographic and ecological paradigms will be necessary to observe, manage, and conserve species embedded in a dynamic seascape mosaic, where the boundaries, extent, and location of features change with time.
Integrated observations and informatics improve understanding of changing marine ecosystems

(Frontiers Media, 2018-11-16) Benson, Abigail ; Brooks, Cassandra M. ; Canonico, Gabrielle ; Duffy, J. Emmett ; Muller-Karger, Frank E. ; Sosik, Heidi M. ; Miloslavich, Patricia ; Klein, Eduardo

Marine ecosystems have numerous benefits for human societies around the world and many policy initiatives now seek to maintain the health of these ecosystems. To enable wise decisions, up to date and accurate information on marine species and the state of the environment they live in is required. Moreover, this information needs to be openly accessible to build indicators and conduct timely assessments that decision makers can use. The questions and problems being addressed demand global-scale investigations, transdisciplinary science, and mechanisms to integrate and distribute data that otherwise would appear to be disparate. Essential Ocean Variables (EOVs) and marine Essential Biodiversity Variables (EBVs), conceptualized by the Global Ocean Observing System (GOOS) and the Marine Biodiversity Observation Network (MBON), respectively, guide observation of the ocean. Additionally, significant progress has been made to coordinate efforts between existing programs, such as the GOOS, MBON, and Ocean Biogeographic Information System collaboration agreement. Globally and nationally relevant indicators and assessments require increased sharing of data and analytical methods, sustained long-term and large-scale observations, and resources to dedicated to these tasks. We propose a vision and key tenets as a guiding framework for building a global integrated system for understanding marine biological diversity and processes to address policy and resource management needs. This framework includes: using EOVs and EBVs and implementing the guiding principles of Findable, Accessible, Interoperable, Reusable (FAIR) data and action ecology. In doing so, we can encourage relevant, rapid, and integrative scientific advancement that can be implemented by decision makers to maintain marine ecosystem health.
CARIACO time series individual CTD profiles from B/O Hermano Gines HG93_CARIACO in the CARIACO basin from 1995-2017 (CARIACO project)

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-07-17) Muller-Karger, Frank ; Astor, Yrene ; Benitez-Nelson, Claudia ; Buck, Kristen N. ; Fanning, Kent ; Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Varela, Ramon ; Capelo, Juan ; Gutierrez, Javier ; Guzman, Laurencia ; Lorenzoni, Laura ; Montes, Enrique ; Rojas, Jaimie ; Rondon, Anadiuska ; Rueda-Roa, Digna

This collection of data comprises all the Individual CTD profiles from the Cariaco basin taken as part of the CARIACO Ocean Time-Series Program from November 1995 to January 2017. These include all the CTD profiles taken during the monthly hydrographic cruises at the CARIACO station (10.50° N, 64.67° W), as well as other CTD profiles from extra legs of the monthly cruises, and few spatial cruises collected in and around the Cariaco basin. CTD’s Salinity and Oxygen where calibrated with in-situ measurements (see Acquisition Description). This dataset is complimentary to the monthly “CTD Composite Profiles” (https://www.bco-dmo.org/dataset/3092), and many fields are very similar to that data-base. The difference with that dataset, is that here we present all the CTD casts for each cruise, the CTD profiles are single (not composite), and the salinity and oxygen profiles were calibrated with in-situ measurements, but fluorescence was no calibrated. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/773146
Time series HPLC pigment data as measured by the NASA Goddard Space Flight Center from B/O Hermano Gines cruises CAR-176 to CAR-232 in the CARIACO basin from 2011-01-11 through 2017-01-12 (CARIACO Ocean Time-Series Program)

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-09-27) Muller-Karger, Frank ; Astor, Yrene ; Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Troccoli, Luis ; Varela, Ramon

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Throughout the CARIACO time-series, High Performance Liquid Chromatography (HPLC) data was analyzed by four different laboratories: Bermuda Biological Research Station; Mote Marine Laboratory; Horn Point Laboratory; and NASA Goddard Space Flight Center. This package contains the data analyzed at the NASA Goddard Space Flight Center, covering cruises CAR-176 to CAR-232 from 2011-01-11 to 2017-01-12. Some of the parameters analyzed were different along time and along the different laboratories. To keep the continuity of the HPLC time-series analyzed by different laboratories, all the HPLC files have the same units and contain the same number and order of columns/parameters (with “nd” to indicate when a parameter was no determined). Fluorometric Chlorophyll-a and Phaeopigments (measured at Estación de Investigaciones Marinas de Margarita, Fundación La Salle, EDIMAR-FLASA) are also included. HPLC was not analyzed for cruises CAR-069 to CAR-123. A general description of the CARIACO Ocean Time-Series Program can be found at www.imars.usf.edu/cariaco. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/777689
Zooplankton biomass and species composition and abundance in the southeastern Caribbean Sea (Cariaco Basin) from October 2001 – January 2017 collected by the CARIACO Ocean Time-Series Program

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-08-15) Rojas, Jaimie ; Gonzalez, Luis ; Gutierrez, Javier ; Muller-Karger, Frank ; Astor, Yrene ; Varela, Ramon ; Lorenzoni, Laura ; Rueda-Roa, Digna

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50° N, 64.67° W) onboard the R/V Hermano Ginés of the Fundación La Salle de Ciencias Naturales de Venezuela. The program studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae). Zooplankton sampling was done during each CARIACO time-series cruise from October 2001 to January 2017 (cruises CAR071 - CAR232). Oblique BONGO net tow samples from 200 m to the surface were analyzed to determine biomass (dry weight and ash content) and taxonomic composition. Empty values denote that a specific zooplankton group was not found at that cruise. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3149
Time series HPLC pigment data as measured by the Bermuda Biological Research Station (BBRS) from B/O Hermano Gines cruises CAR-002 to CAR-030 in the CARIACO basin from 1995-12-13 through 1998-04-21 (CARIACO Ocean Time-Series Program)

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-09-27) Muller-Karger, Frank ; Astor, Yrene ; Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Troccoli, Luis ; Varela, Ramon

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Throughout the CARIACO time-series, High Performance Liquid Chromatography (HPLC) data was analyzed by four different laboratories: Bermuda Biological Research Station; Mote Marine Laboratory; Horn Point Laboratory; and NASA Goddard Space Flight Center. This package contains the data analyzed at the Bermuda Biological Research Station, covering cruises CAR-002 to CAR-030 from 1995-12-13 to 1998-04-21. Some of the parameters analyzed were different along time and along the different laboratories. To keep the continuity of the HPLC time-series analyzed by different laboratories, all the HPLC files have the same units and contain the same number and order of columns/parameters (with “nd” to indicate when a parameter was no determined). Fluorometric Chlorophyll-a and Phaeopigments (measured at Estación de Investigaciones Marinas de Margarita, Fundación La Salle, EDIMAR-FLASA) are also included. HPLC was not analyzed for cruises CAR-069 to CAR-123. A general description of the CARIACO Ocean Time-Series Program can be found at www.imars.usf.edu/cariaco. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3293
Time-series Niskin-bottle sample data from R/V Hermano Gines cruises in the Cariaco Basin from 1995 through 2017 (CARIACO Ocean Time-Series Program)

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-06-07) Muller-Karger, Frank ; Astor, Yrene ; Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Varela, Ramon ; Benitez-Nelson, Claudia ; Buck, Kristen N. ; Fanning, Kent ; Capelo, Juan ; Gutierrez, Javier ; Guzman, Laurencia ; Lorenzoni, Laura ; Montes, Enrique ; Rojas, Jaimie ; Rondon, Anadiuska ; Rueda-Roa, Digna ; Tappa, Eric

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50° N, 64.67° W) onboard the R/V Hermano Ginés of the Fundación La Salle de Ciencias Naturales de Venezuela. During each cruise, a minimum of four hydrocasts were performed to collect a suite of core monthly observations. We conducted separate shallow and deep casts to obtain a better vertical resolution of in-situ Niskin-bottles samples for chemical observations, and for productivity, phytoplankton, and pigment observations. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3093
Time series HPLC pigment data as measured by MOTE Marine Laboratory & Aquarium from B/O Hermano Gines cruises CAR-031 to CAR-068 in the CARIACO basin from 1998-06-09 to 2001-07-10 (CARIACO Ocean Time-Series Program)

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-09-27) Muller-Karger, Frank ; Astor, Yrene ; Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Troccoli, Luis ; Varela, Ramon

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Throughout the CARIACO time-series, High Performance Liquid Chromatography (HPLC) data was analyzed by four different laboratories: Bermuda Biological Research Station; Mote Marine Laboratory; Horn Point Laboratory; and NASA Goddard Space Flight Center. This package contains the data analyzed at the MOTE Marine Laboratory & Aquarium, covering cruises CAR-031 to CAR-068 from 1998-06-09 to 2001-07-10. Some of the parameters analyzed were different along time and along the different laboratories. To keep the continuity of the HPLC time-series analyzed by different laboratories, all the HPLC files have the same units and contain the same number and order of columns/parameters (with “nd” to indicate when a parameter was no determined). Fluorometric Chlorophyll-a and Phaeopigments (measured at Estación de Investigaciones Marinas de Margarita, Fundación La Salle, EDIMAR-FLASA) are also included. HPLC was not analyzed for cruises CAR-069 to CAR-123. A general description of the CARIACO Ocean Time-Series Program can be found at www.imars.usf.edu/cariaco. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3292
Time series HPLC pigment data as measured by Horn Point Laboratory (HPL) from B/O Hermano Gines cruises CAR-124 to CAR-175 in the CARIACO basin from 2006-07-04 to 2010-12-08 (CARIACO Ocean Time-Series Program)

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-09-27) Muller-Karger, Frank ; Astor, Yrene ; Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Troccoli, Luis ; Varela, Ramon

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Throughout the CARIACO time-series, High Performance Liquid Chromatography (HPLC) data was analyzed by four different laboratories: Bermuda Biological Research Station; Mote Marine Laboratory; Horn Point Laboratory; and NASA Goddard Space Flight Center. This package contains the data analyzed at Horn Point Laboratory, covering cruises CAR-124 to CAR-175 from 2006-07-04 to 2010-12-08. Some of the parameters analyzed were different along time and along the different laboratories. To keep the continuity of the HPLC time-series analyzed by different laboratories, all the HPLC files have the same units and contain the same number and order of columns/parameters (with “nd” to indicate when a parameter was no determined). Fluorometric Chlorophyll-a and Phaeopigments (measured at Estación de Investigaciones Marinas de Margarita, Fundación La Salle, EDIMAR-FLASA) are also included. HPLC was not analyzed for cruises CAR-069 to CAR-123. A general description of the CARIACO Ocean Time-Series Program can be found at www.imars.usf.edu/cariaco. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3235
Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO Ocean Time-Series Project from November 1995 to January 2017

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-08-15) Troccoli, Luis ; Diaz-Ramos, Rafael ; Subero-Pino, Sonia ; Muller-Karger, Frank ; Astor, Yrene ; Varela, Ramon ; Rueda-Roa, Digna ; Klein, Eduardo

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50° N, 64.67° W) onboard the R/V Hermano Ginés of the Fundación La Salle de Ciencias Naturales de Venezuela. The program studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae). One of the monthly measurements taken by the program was water sampling at different depths for phytoplankton taxonomy (occurrence and density). Those water samples were collected with Niskin bottles during the first CTD Cast of the morning at 1, 7, 25, 35, 75, and 100 m depth. Phytoplankton taxonomy and density was determined at each depth at the level of species or genera. Values of zero are real and denote that a specific species was not found at that cruise/depth. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3095
Anomalous delta C-13 in particulate organic carbon at the chemoautotrophy maximum in the Cariaco Basin

(Journal of Geophysical Research-Biogeosciences, 2020-01-30) Scranton, Mary I. ; Taylor, Gordon T. ; Thunell, Robert C. ; Muller-Karger, Frank E. ; Astor, Yrene ; Swart, Peter K. ; Edgcomb, Virginia P. ; Pachiadaki, Maria G.

A chemoautotrophy maximum is present in many anoxic basins at the sulfidic layer's upper boundary, but the factors controlling this feature are poorly understood. In 13 of 31 cruises to the Cariaco Basin, particulate organic carbon (POC) was enriched in 13C (δ13CPOC as high as −16‰) within the oxic/sulfidic transition compared to photic zone values (−23 to −26‰). During “heavy” cruises, fluxes of O2 and [NO3− + NO2−] to the oxic/sulfidic interface were significantly lower than during “light” cruises. Cruises with isotopically heavy POC were more common between 2013 and 2015 when suspended particles below the photic zone tended to be nitrogen rich compared to later cruises. Within the chemoautotrophic layer, nitrogen‐rich particles (molar ratio C/N< 10) were more likely to be 13C‐enriched than nitrogen‐poor particles, implying that these inventories were dominated by living cells and fresh detritus rather than laterally transported or extensively decomposed detritus. During heavy cruises, 13C enrichments persisted to 1,300 m, providing the first evidence of downward transport of chemoautotrophically produced POC. Dissolved inorganic carbon assimilation during heavy cruises (n = 3) was faster and occurred deeper than during light cruises (n = 2). Metagenomics data from the chemoautotrophic layer during two cruises support prevalence of microorganisms carrying RuBisCO form II genes, which encode a carbon fixation enzyme that discriminates less against heavy isotopes than most other carbon fixation enzymes, and metatranscriptomics data indicate that higher expression of form II RuBisCO genes during the heavy cruises at depths where essential reactants coexist are responsible for the isotopically heavier POC.
A framework for a marine biodiversity observing network within changing continental shelf seascapes

(The Oceanography Society, 2014-06) Muller-Karger, Frank E. ; Kavanaugh, Maria T. ; Montes, Enrique ; Balch, William M. ; Breitbart, Mya ; Chavez, Francisco P. ; Doney, Scott C. ; Johns, Elizabeth M. ; Letelier, Ricardo M. ; Lomas, Michael W. ; Sosik, Heidi M. ; White, Angelicque E.

Continental shelves and the waters overlying them support numerous industries as diverse as tourism and recreation, energy extraction, fisheries, transportation, and applications of marine bio-molecules (e.g., agribusiness, food processing, pharmaceuticals). Although these shelf ecosystems exhibit impacts of climate change and increased human use of resources (Halpern et al., 2012; IPCC, 2013, 2014; Melillo et al., 2014), there are currently no standardized metrics for assessing changes in ecological function in the coastal ocean. Here, we argue that it is possible to monitor vital signs of ecosystem function by focusing on the lowest levels of the ocean food web. Establishment of biodiversity, biomass, and primary productivity baselines and continuous evaluation of changes in biological resources in these economically and ecologically valuable regions requires an internationally coordinated monitoring effort that fully integrates natural, social, and economic sciences to jointly identify problems and design solutions. Such an ocean observing network is needed to protect the livelihoods of coastal communities in the context of the goals of the Future Earth program (Mooney et al., 2013) and of the Intergovernmental Platform on Biodiversity and Ecosystem Services (http://www.ipbes.net). The tools needed to initiate these assessments are available today.
An ocean-colour time series for use in climate studies: The experience of the ocean-colour climate change initiative (OC-CCI)

(MDPI, 2019-10-03) Sathyendranath, Shubha ; Brewin, Robert J. W. ; Brockmann, Carsten ; Brotas, Vanda ; Calton, Ben ; Chuprin, Andrei ; Cipollini, Paolo ; Couto, André B. ; Dingle, James ; Doerffer, Roland ; Donlon, Craig ; Dowell, Mark ; Farman, Alex ; Grant, Michael ; Groom, Steven ; Horseman, Andrew ; Jackson, Thomas ; Krasemann, Hajo ; Lavender, Samantha ; Martinez-Vicente, Victor ; Mazeran, Constant ; Melin, Frederic ; Moore, Timothy S. ; Müller, Dagmar ; Regner, Peter ; Roy, Shovonlal ; Steele, Chris J. ; Steinmetz, François ; Swinton, John ; Taberner, Malcolm ; Thompson, Adam ; Valente, André ; Zühlke, Marco ; Brando, Vittorio ; Feng, Hui ; Feldman, Gene ; Franz, Bryan A. ; Frouin, Robert ; Gould, Richard ; Hooker, Stanford B. ; Kahru, Mati ; Kratzer, Susanne ; Mitchell, B. Greg ; Muller-Karger, Frank E. ; Sosik, Heidi M. ; Voss, Kenneth ; Werdell, Jeremy ; Platt, Trevor

Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote-sensing reflectances) in the visible domain, and chlorophyll-a concentration are identified as required ECV products. Time series of the products at the global scale and at high spatial resolution, derived from ocean-colour data, are key to studying the dynamics of phytoplankton at seasonal and inter-annual scales; their role in marine biogeochemistry; the global carbon cycle; the modulation of how phytoplankton distribute solar-induced heat in the upper layers of the ocean; and the response of the marine ecosystem to climate variability and change. However, generating a long time series of these products from ocean-colour data is not a trivial task: algorithms that are best suited for climate studies have to be selected from a number that are available for atmospheric correction of the satellite signal and for retrieval of chlorophyll-a concentration; since satellites have a finite life span, data from multiple sensors have to be merged to create a single time series, and any uncorrected inter-sensor biases could introduce artefacts in the series, e.g., different sensors monitor radiances at different wavebands such that producing a consistent time series of reflectances is not straightforward. Another requirement is that the products have to be validated against in situ observations. Furthermore, the uncertainties in the products have to be quantified, ideally on a pixel-by-pixel basis, to facilitate applications and interpretations that are consistent with the quality of the data. This paper outlines an approach that was adopted for generating an ocean-colour time series for climate studies, using data from the MERIS (MEdium spectral Resolution Imaging Spectrometer) sensor of the European Space Agency; the SeaWiFS (Sea-viewing Wide-Field-of-view Sensor) and MODIS-Aqua (Moderate-resolution Imaging Spectroradiometer-Aqua) sensors from the National Aeronautics and Space Administration (USA); and VIIRS (Visible and Infrared Imaging Radiometer Suite) from the National Oceanic and Atmospheric Administration (USA). The time series now covers the period from late 1997 to end of 2018. To ensure that the products meet, as well as possible, the requirements of the user community, marine-ecosystem modellers, and remote-sensing scientists were consulted at the outset on their immediate and longer-term requirements as well as on their expectations of ocean-colour data for use in climate research. Taking the user requirements into account, a series of objective criteria were established, against which available algorithms for processing ocean-colour data were evaluated and ranked. The algorithms that performed best with respect to the climate user requirements were selected to process data from the satellite sensors. Remote-sensing reflectance data from MODIS-Aqua, MERIS, and VIIRS were band-shifted to match the wavebands of SeaWiFS. Overlapping data were used to correct for mean biases between sensors at every pixel. The remote-sensing reflectance data derived from the sensors were merged, and the selected in-water algorithm was applied to the merged data to generate maps of chlorophyll concentration, inherent optical properties at SeaWiFS wavelengths, and the diffuse attenuation coefficient at 490 nm. The merged products were validated against in situ observations. The uncertainties established on the basis of comparisons with in situ data were combined with an optical classification of the remote-sensing reflectance data using a fuzzy-logic approach, and were used to generate uncertainties (root mean square difference and bias) for each product at each pixel.
Open ocean particle flux variability from surface to seafloor

(American Geophysical Union, 2021-04-18) Cael, B. Barry ; Bisson, Kelsey ; Conte, Maureen H. ; Duret, Manon T. ; Follett, Christopher L. ; Henson, Stephanie A. ; Honda, Makio C. ; Iversen, Morten H. ; Karl, David M. ; Lampitt, Richard S. ; Mouw, Colleen B. ; Muller-Karger, Frank E. ; Pebody, Corinne ; Smith, Kenneth L., Jr. ; Talmy, David

The sinking of carbon fixed via net primary production (NPP) into the ocean interior is an important part of marine biogeochemical cycles. NPP measurements follow a log-normal probability distribution, meaning NPP variations can be simply described by two parameters despite NPP's complexity. By analyzing a global database of open ocean particle fluxes, we show that this log-normal probability distribution propagates into the variations of near-seafloor fluxes of particulate organic carbon (POC), calcium carbonate, and opal. Deep-sea particle fluxes at subtropical and temperate time-series sites follow the same log-normal probability distribution, strongly suggesting the log-normal description is robust and applies on multiple scales. This log-normality implies that 29% of the highest measurements are responsible for 71% of the total near-seafloor POC flux. We discuss possible causes for the dampening of variability from NPP to deep-sea POC flux, and present an updated relationship predicting POC flux from mineral flux and depth.
A compilation of global bio-optical in situ data for ocean-colour satellite applications - version two

(Copernicus Publications, 2019-07-15) Valente, André ; Sathyendranath, Shubha ; Brotas, Vanda ; Groom, Steven ; Grant, Michael ; Taberner, Malcolm ; Antoine, David ; Arnone, Robert ; Balch, William M. ; Barker, Kathryn ; Barlow, Ray ; Belanger, Simon ; Berthon, Jean-François ; Besiktepe, Sukru ; Borsheim, Yngve ; Bracher, Astrid ; Brando, Vittorio ; Canuti, Elisabetta ; Chavez, Francisco P. ; Cianca, Andrés ; Claustre, Hervé ; Clementson, Lesley ; Crout, Richard ; Frouin, Robert ; García-Soto, Carlos ; Gibb, Stuart W. ; Gould, Richard ; Hooker, Stanford B. ; Kahru, Mati ; Kampel, Milton ; Klein, Holger ; Kratzer, Susanne ; Kudela, Raphael M. ; Ledesma, Jesus ; Loisel, Hubert ; Matrai, Patricia A. ; McKee, David ; Mitchell, Brian G. ; Moisan, Tiffany ; Muller-Karger, Frank E. ; O'Dowd, Leonie ; Ondrusek, Michael ; Platt, Trevor ; Poulton, Alex J. ; Repecaud, Michel ; Schroeder, Thomas ; Smyth, Timothy ; Smythe-Wright, Denise ; Sosik, Heidi M. ; Twardowski, Michael ; Vellucci, Vincenzo ; Voss, Kenneth ; Werdell, Jeremy ; Wernand, Marcel ; Wright, Simon ; Zibordi, Giuseppe

A global compilation of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (including, inter alia, MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT and GeP&CO) and span the period from 1997 to 2018. Observations of the following variables were compiled: spectral remote-sensing reflectances, concentrations of chlorophyll a, spectral inherent optical properties, spectral diffuse attenuation coefficients and total suspended matter. The data were from multi-project archives acquired via open internet services or from individual projects, acquired directly from data providers. Methodologies were implemented for homogenization, quality control and merging of all data. No changes were made to the original data, other than averaging of observations that were close in time and space, elimination of some points after quality control and conversion to a standard format. The final result is a merged table designed for validation of satellite-derived ocean-colour products and available in text format. Metadata of each in situ measurement (original source, cruise or experiment, principal investigator) was propagated throughout the work and made available in the final table. By making the metadata available, provenance is better documented, and it is also possible to analyse each set of data separately. This paper also describes the changes that were made to the compilation in relation to the previous version (Valente et al., 2016). The compiled data are available at https://doi.org/10.1594/PANGAEA.898188 (Valente et al., 2019).
A compilation of global bio-optical in situ data for ocean-colour satellite applications

(Copernicus Publications on behalf of the European Geosciences Union, 2016-06-03) Valente, André ; Sathyendranath, Shubha ; Brotas, Vanda ; Groom, Steven ; Grant, Michael ; Taberner, Malcolm ; Antoine, David ; Arnone, Robert ; Balch, William M. ; Barker, Kathryn ; Barlow, Ray ; Belanger, Simon ; Berthon, Jean-François ; Besiktepe, Sukru ; Brando, Vittorio ; Canuti, Elisabetta ; Chavez, Francisco P. ; Claustre, Hervé ; Crout, Richard ; Frouin, Robert ; García-Soto, Carlos ; Gibb, Stuart W. ; Gould, Richard ; Hooker, Stanford B. ; Kahru, Mati ; Klein, Holger ; Kratzer, Susanne ; Loisel, Hubert ; McKee, David ; Mitchell, Brian G. ; Moisan, Tiffany ; Muller-Karger, Frank E. ; O'Dowd, Leonie ; Ondrusek, Michael ; Poulton, Alex J. ; Repecaud, Michel ; Smyth, Timothy ; Sosik, Heidi M. ; Twardowski, Michael ; Voss, Kenneth ; Werdell, Jeremy ; Wernand, Marcel ; Zibordi, Giuseppe

A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data records. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT, GeP&CO), span between 1997 and 2012, and have a global distribution. Observations of the following variables were compiled: spectral remote-sensing reflectances, concentrations of chlorophyll a, spectral inherent optical properties and spectral diffuse attenuation coefficients. The data were from multi-project archives acquired via the open internet services or from individual projects, acquired directly from data providers. Methodologies were implemented for homogenisation, quality control and merging of all data. No changes were made to the original data, other than averaging of observations that were close in time and space, elimination of some points after quality control and conversion to a standard format. The final result is a merged table designed for validation of satellite-derived ocean-colour products and available in text format. Metadata of each in situ measurement (original source, cruise or experiment, principal investigator) were preserved throughout the work and made available in the final table. Using all the data in a validation exercise increases the number of matchups and enhances the representativeness of different marine regimes. By making available the metadata, it is also possible to analyse each set of data separately. The compiled data are available at doi:10.1594/PANGAEA.854832 (Valente et al., 2015).

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