Effects of Increased Pco2 and Temperature on the North Atlantic Spring Bloom. III. Dimethylsulfoniopropionate
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Uts Marine Biology Fact Sheet
UTS MARINE BIOLOGY FACT SHEET Topic: Phytoplankton and Cloud Formation 1.The CLAW Hypothesis Background: In 1987 four people (Charlson, Lovelock, Andrea, & Warren) introduced a theory that a natural gas called Dimethylsulfide (DMS), produced by microscopic plants in the ocean (phytoplankton), was a major contributor to the formation of clouds in the atmosphere. This theory was named the CLAW Hypothesis (from the first letter of each of their surnames). Fast facts: . Phytoplankton produce DMSP (dimethylsulphoniopropionate), an organic sulphur compound, which is converted to DMS in the ocean. The majority of this DMS is consumed by bacteria but around 10% escapes into the atmosphere. When DMS is released into the air, a chemical reaction takes place (called an oxidation reaction) and sulphate aerosols are formed – a gas which acts as cloud condensation nuclei (CCN). This means it combines with water droplets in the atmosphere to form clouds. As a result, more clouds increase the reflectivity of the sun’s rays (earth albedo) which decreases the amount of light reaching the earth’s surface, and contributes to cooling the overall climate. A decrease in light causes a decrease in phytoplankton productivity of DMS. (Phytoplankton are primary producers which rely on light to function). This sequence of events is called a Negative Feedback Loop, because phytoplankton increase DMS production but DMS forms clouds which lowers the amount of light reaching the earth, resulting in less phytoplankton and less DMS. DMS emissions are a key step in the global sulphur cycle, which circulates sulphur throughout the earth, oceans, and atmosphere. It is an essential component in the growth of all living things. -
M1 Project: Climate - Biosphere Interactions Using ODE Models
M1 Project: Climate - Biosphere interactions using ODE models Jan Rombouts Erasmus Mundus Master in Complex Systems Science Ecole´ Polytechnique, Paris Supervisors: Michael Ghil, Regis Ferri`ere Ecole´ Normal Sup´erieure,Paris June 30, 2014 Abstract There are many examples of the complex interactions of climate and vegetation through various feedback mechanisms. Climatic models have begun to take into ac- count vegetation as an important player in the evolution of the climate. Climate models range from complicated, large scale GCMs to simple conceptual models. It is this last type of modeling that I looked at in my project. Conceptual models usually use differential equations and techniques from dynamical systems theory to investi- gate basic mechanisms in the climate system. They have in particular been applied to investigate glacial-interglacial cycles. These models have not often included vege- tation as one of their variables, and this is what I've looked at in the project. First I investigate a simple, two equation model, and show that even in such a simple model, interesting oscillatory behaviour can be observed. Then I go on to study models with three equations, based on an existing model for temperature and ice sheet evolution. I extend this model in two ways: by adding a vegetation variable, and by adding a carbon dioxide variable. Again, oscillations are observed, but the existence depends on parameters that are linked to the vegetation. Finally I put it all together in a model with four equations. These models show that vegetation is an important factor, and can account for some specific features of glacial-interglacial cycles. -
The Case Against Climate Regulation Via Oceanic Phytoplankton Sulphur Emissions P
REVIEW doi:10.1038/nature10580 The case against climate regulation via oceanic phytoplankton sulphur emissions P. K. Quinn1 & T. S. Bates1 More than twenty years ago, a biological regulation of climate was proposed whereby emissions of dimethyl sulphide from oceanic phytoplankton resulted in the formation of aerosol particles that acted as cloud condensation nuclei in the marine boundary layer. In this hypothesis—referred to as CLAW—the increase in cloud condensation nuclei led to an increase in cloud albedo with the resulting changes in temperature and radiation initiating a climate feedback altering dimethyl sulphide emissions from phytoplankton. Over the past two decades, observations in the marine boundary layer, laboratory studies and modelling efforts have been conducted seeking evidence for the CLAW hypothesis. The results indicate that a dimethyl sulphide biological control over cloud condensation nuclei probably does not exist and that sources of these nuclei to the marine boundary layer and the response of clouds to changes in aerosol are much more complex than was recognized twenty years ago. These results indicate that it is time to retire the CLAW hypothesis. loud condensation nuclei (CCN) can affect the amount of solar The CLAW hypothesis further postulated that an increase in DMS radiation reaching Earth’s surface by altering cloud droplet emissions from the ocean would result in an increase in CCN, cloud number concentration and size and, as a result, cloud reflectivity droplet concentrations, and cloud albedo, and a decrease in the amount C 1 or albedo . CCN are atmospheric particles that are sufficiently soluble of solar radiation reaching Earth’s surface. -
Enhancing the Natural Sulfur Cycle to Slow Global Warming$
ARTICLE IN PRESS Atmospheric Environment 41 (2007) 7373–7375 www.elsevier.com/locate/atmosenv New Directions: Enhancing the natural sulfur cycle to slow global warming$ Full scale ocean iron fertilization of the Southern The CLAW hypothesis further states that greater Ocean (SO) has been proposed previously as a DMS production would result in additional flux to means to help mitigate rising CO2 in the atmosphere the atmosphere, more cloud condensation nuclei (Martin et al., 1990, Nature 345, 156–158). Here we (CCN) and greater cloud reflectivity by decreasing describe a different, more leveraged approach to cloud droplet size. Thus, increased DMS would partially regulate climate using limited iron en- contribute to the homeostasis of the planet by hancement to stimulate the natural sulfur cycle, countering warming from increasing CO2. A cor- resulting in increased cloud reflectivity that could ollary to the CLAW hypothesis is that elevated CO2 cool large regions of our planet. Some regions of the itself increases DMS production which has been Earth’s oceans are high in nutrients but low in observed during a mesocosm scale CO2 enrichment primary productivity. The largest such region is the experiment (Wingenter et al., 2007, Geophysical SO followed by the equatorial Pacific. Several Research Letters 34, L05710). The CLAW hypoth- mesoscale (102 km2) experiments have shown that esis relies on the assumption that DMS sea-to-air the limiting nutrient to productivity is iron. Yet, the flux leads to new particles and not just the growth of effectiveness of iron fertilization for sequestering existing particles. If the CLAW hypothesis is significant amounts of atmospheric CO2 is still in correct, the danger is that enormous anthropogenic question. -
Representative Diatom and Coccolithophore Species Exhibit Divergent Responses Throughout Simulated Upwelling Cycles
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.30.071480; this version posted May 1, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Representative diatom and coccolithophore species exhibit divergent responses throughout simulated upwelling cycles Robert H. Lampe1,2, Gustavo Hernandez2, Yuan Yu Lin3, and Adrian Marchetti2, 1Integrative Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA 2Department of Marine Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Phytoplankton communities in upwelling regions experience a ton blooms following upwelling (2, 5, 6). When upwelling wide range of light and nutrient conditions as a result of up- delivers cells and nutrients into well-lit surface waters, di- welling cycles. These cycles can begin with a bloom at the sur- atoms quickly respond to available nitrate and increase their face followed by cells sinking to depth when nutrients are de- nitrate uptake rates compared to other phytoplankton groups pleted. Cells can then be transported back to the surface with allowing them to bloom (7). This phenomenon may partially upwelled waters to seed another bloom. In spite of the physico- be explained by frontloading nitrate assimilation genes, i.e. chemical extremes associated with these cycles, diatoms consis- high expression before the upwelling event occurs, in addi- tently outcompete other phytoplankton when upwelling events occur. Here we simulated the conditions of a complete upwelling tion to diatom’s unique metabolic integration of nitrogen and cycle with a common diatom, Chaetoceros decipiens, and coccol- carbon metabolic pathways (6, 8). -
Detection of Coccolithophore Blooms with Biogeochemical-Argo Floats L
Detection of Coccolithophore Blooms With BioGeoChemical-Argo Floats L. Terrats, H. Claustre, M. Cornec, Alain Mangin, G. Neukermans To cite this version: L. Terrats, H. Claustre, M. Cornec, Alain Mangin, G. Neukermans. Detection of Coccolithophore Blooms With BioGeoChemical-Argo Floats. Geophysical Research Letters, American Geophysical Union, 2020, 47 (23), 10.1029/2020GL090559. hal-03099761 HAL Id: hal-03099761 https://hal.archives-ouvertes.fr/hal-03099761 Submitted on 6 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial| 4.0 International License RESEARCH LETTER Detection of Coccolithophore Blooms With 10.1029/2020GL090559 BioGeoChemical‐Argo Floats Key Points: L. Terrats1,2 , H. Claustre1 , M. Cornec1 , A. Mangin2, and G. Neukermans3,4 • We matched profiling float trajectories with ocean‐color 1Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, Villefranche‐sur‐Mer, France, satellite observations of 2 ‐ 3 coccolithophore blooms ACRI ST, Sophia Antipolis, France, Biology Department, MarSens Research Group, Ghent University, Ghent, Belgium, • Two simple bio‐optical indices 4Flanders Marine Institute (VLIZ), InnovOcean site, Ostend, Belgium permitted successful identification of coccolithophore blooms from floats in the Southern Ocean Coccolithophores (calcifying phytoplankton) form extensive blooms in temperate and subpolar • Abstract A method for identifying ‐ coccolithophore blooms at the global oceans as evidenced from ocean color satellites. -
Surface Seawater Plankton Sampling for Coccolithophores Undertaken During IODP Expedition 359
Betzler, C., Eberli, G.P., Alvarez Zarikian, C.A., and the Expedition 359 Scientists Proceedings of the International Ocean Discovery Program Volume 359 publications.iodp.org doi:10.14379/iodp.proc.359.111.2017 Contents 1 Abstract Data report: surface seawater plankton 1 Introduction sampling for coccolithophores undertaken 1 Materials and methods 3 Results 1 during IODP Expedition 359 5 Biogeography 6 Acknowledgments Jeremy R. Young, Santi Pratiwi, Xiang Su, and the Expedition 359 Scientists2 6 References 7 Appendix Keywords: International Ocean Discovery Program, IODP, JOIDES Resolution, Expedition 359, Indian Ocean transect, Maldives, coccolithophores Abstract Darwin, Australia, to the Maldives (Figure F1A). This transit pre- sented a valuable opportunity to sample the equatorial assemblages Data on extant coccolithophore assemblages from plankton to determine broad patterns of coccolithophore distribution and samples collected during International Ocean Discovery Program compare them with those recorded previously, notably by Kleijne et Expedition 359 to the Maldives is presented. Samples include 12 al. (1989). Sampling continued within the Maldives drilling area to collected during passage across the Indian Ocean from Darwin, (1) determine whether assemblages within the Maldives show evi- Australia, to the Maldives and 40 collected in the Maldives. Assem- dence of ecological restriction or modified assemblages related to blages were analyzed by light and scanning electron microscopy, the particular environment of the atoll chain, (2) investigate repro- and detailed assemblage data are presented. Comparison with pre- ducibility of assemblage data by repeat sampling within a limited vious data from the region suggests that there are consistent distinc- area over an extended period, and (3) investigate the potential of the tive aspects to Indian Ocean assemblages. -
The Influence of Environmental Variability on the Biogeography of Coccolithophores and Diatoms in the Great Calcite Belt Helen E
Biogeosciences Discuss., doi:10.5194/bg-2017-110, 2017 Manuscript under review for journal Biogeosciences Discussion started: 13 April 2017 c Author(s) 2017. CC-BY 3.0 License. The Influence of Environmental Variability on the Biogeography of Coccolithophores and Diatoms in the Great Calcite Belt Helen E. K. Smith1,2, Alex J. Poulton1,3, Rebecca Garley4, Jason Hopkins5, Laura C. Lubelczyk5, Dave T. Drapeau5, Sara Rauschenberg5, Ben S. Twining5, Nicholas R. Bates2,4, William M. Balch5 5 1National Oceanography Centre, European Way, Southampton, SO14 3ZH, U.K. 2School of Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, U.K. 3Present address: The Lyell Centre, Heriot-Watt University, Edinburgh, EH14 7JG, U.K. 10 4Bermuda Institute of Ocean Sciences, 17 Biological Station, Ferry Reach, St. George's GE 01, Bermuda. 5Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, P.O. Box 380, East Boothbay, Maine 04544, USA. Correspondence to: Helen E.K. Smith ([email protected]) Abstract. The Great Calcite Belt (GCB) of the Southern Ocean is a region of elevated summertime upper ocean calcite 15 concentration derived from coccolithophores, despite the region being known for its diatom predominance. The overlap of two major phytoplankton groups, coccolithophores and diatoms, in the dynamic frontal systems characteristic of this region, provides an ideal setting to study environmental influences on the distribution of different species within these taxonomic groups. Water samples for phytoplankton enumeration were collected from the upper 30 m during two cruises, the first to the South Atlantic sector (Jan-Feb 2011; 60o W-15o E and 36-60o S) and the second in the South Indian sector (Feb-Mar 2012; 20 40-120o E and 36-60o S). -
Modeling Coccolithophores in the Global Oceans
Modeling Coccolithophores in the Global Oceans Watson W. Gregg Global Modeling and Assimilation Office NASA/Goddard Space Flight Center Greenbelt, MD 20771 [email protected] Nancy W. Casey Science Systems and Applications, Inc. Lanham, MD 20706 [email protected] Deep-Sea Research II Special Issue Submitted March, 2006 Revised May, 2006 Abstract Coccolithophores are important ecological and geochemical components of the global oceans. A global three-dimensional model was used to simulate their distributions in a multi- phytoplankton context. The realism of the simulation was supported by comparisons of model surface nutrients and total chlorophyll with in situ and satellite observations. Nitrate, silica, and dissolved iron surface distributions were positively correlated with in situ data across major oceanographic basins. Global annual departures were +18.9% for nitrate (model high), +5.4% for silica, and +45.0% for iron. Total surface chlorophyll was also positively correlated with satellite and in situ data sets across major basins. Global annual departures were -8.0% with SeaWiFS (model low), +1.1% with Aqua, and -17.1% with in situ data. Global annual primary production estimates were within 1% and 9% of estimates derived from SeaWiFS and Aqua, respectively, using a common primary production algorithm. Coccolithophore annual mean relative abundances were 2.6% lower than observations, but were positively correlated across basins. Two of the other three phytoplankton groups, diatoms and cyanobacteria, were also positively correlated with observations. Distributions of coccolithophores were dependent upon interactions and competition with the other phytoplankton groups. In this model coccolithophores had a competitive advantage over diatoms and chlorophytes by virtue of a greater ability to utilize nutrients and light at low values. -
COCCOLITHOPHORES Optical Properties, Ecology, And
COCCOLITHOPHORES Optical properties, ecology, and biogeochemistry Griet Neukermans Marie Curie Postdoctoral Fellow Laboratoire Océanographique de Villefranche-sur-Mer Griet Neukermans PhD in optical oceanography MSc. Mathematics (VUB-Belgium) MSc. Oceans & Lakes (VUB-Belgium) Core expertise : development and application of remote and in situ optical sensing of marine particles 2008 Remote sensing and light scattering properties of suspended particles in European coastal waters PhD (PhD, ULCO-France, advisors: H. Loisel and K. Ruddick) 2012 Optical detection of particle concentration, size, and composition in the Arctic Ocean (Postdoc SIO UCSD-USA, advisors: D. Stramski and R. Reynolds) Post doc 1 2014 Impact of climate change on phytoplankton blooms on the Arctic Ocean’s inflow shelves (Banting Postdoctoral Fellow, ULaval-Canada, advisor: M. Babin) Remote sensing of ocean colour and physical environment Postdoc 2 + Modeling the light scattering properties of coccolithophores (with G. Fournier) 2017 Poleward expansion of coccolithophore blooms and their role in sinking carbon in the Subarctic Ocean (Marie Curie Postdoctoral Fellow, LOV-France, advisor: H. Claustre + co-advisors: G. Beaugrand and U. Riebesell) Postdoc 3 Optical remote sensing + Ecological niche modeling + optical modeling + Biogeochemical-Argo now floats When not at work… I ride my bike! This course covers • Coccolithophore biology and ecology – Diversity, distribution, and biomass • Remote sensing of coccolithophores and their calcite mass (PIC) – Bloom observations and -
Phytoplankton 1 9
DOMAIN Groups (Kingdom) Dinophyta, Haptophyta, & Bacillariophyta 1.Bacteria- cyanobacteria (blue green algae) 2.Archae 3.Eukaryotes 1. Alveolates- dinoflagellates, coccolithophore Chromista 2. Stramenopiles- diatoms, ochrophyta 3. Rhizaria- unicellular amoeboids 4. Excavates- unicellular flagellates 5. Plantae- rhodophyta, chlorophyta, seagrasses 6. Amoebozoans- slimemolds 7. Fungi- heterotrophs with extracellular digestion 8. Choanoflagellates- unicellular Phytoplankton 1 9. Animals- multicellular heterotrophs 2 DOMAIN Eukaryotes Domain Eukaryotes – have a nucei Supergroup Chromista- chloroplasts derived from red algae Chromista = 21,556 spp. chloroplasts derived from red algae Division Haptophyta- 626 spp. coccolithophore contains Alveolates & Stramenopiles according to Algaebase Group Alveolates- unicellular, plasma membrane supported by flattened vesicles Division Haptophyta- 626 spp. coccolithophore Division Dinophyta- 3,310 spp. of dinoflagellates Group Stramenopiles- two unequal flagella, chloroplasts 4 membranes Division Ochrophyta- 3,763spp. brown algae Division Bacillariophyta -13,437 spp diatoms sphere of stone 3 4 1 Division Haptophyta: Coccolithophore Division Haptophyta: Coccolithophore • Pigments? Chl a &c Autotrophic, Phagotrophic & Osmotrophic Carotenoids:B-carotene, diatoxanthin, diadinoxanthin (uptake of nutrients by osmosis) •Carbon Storage? Sugar: Chrysolaminarian Primary producers in polar, subpolar, temperate & tropical waters • Chloroplasts? 4 membrane Coccolhliths- external bod y scales made of calcium carbonate -
The CLAW Hypothesis Does Anyone Believe That This Feedback Loop
The CLAW Hypothesis Does anyone believe that this feedback loop works as advertised? It is possible that it does, although most steps are too poorly quantified to be certain. CLAW Hypothesis Charlson, Lovelock, Andreae, and Warren, Oceanic phytoplankton, atmospheric sulfur, cloud albedo and climate, Nature, 326, 655-661, 1987. The CLAW Hypothesis DMS fluxes probably control the growth of aerosols into the CCN size range. These CCN help control the radiative properties of stratocumulus clouds. Although CLAW has not been rigorously proven, it is extremely likely that biological processes are linked to cloud properties via sulfur-containing aerosols. Neither can be understood in CLAW Hypothesis isolation from the other. What role do aerosols play in creating these pockets of open cells, POCs? To improve models of this region, we need to quantify the factors controlling clouds and radiation. 2-300 Wm-2 Difference! This aerosol data from an EPIC cruise shows the loss of aerosols when a POC passes overhead. Tony Clarke observed this re-growth from freshly-nucleated particles in the Eastern Pacific MBL during PEM-Tropics. Drizzle Removal > Nucleation > DMS-Controlled Growth is one plausible explanation for several-day POC lifetimes. How much of the recovery is from entrainment vs growth? POC Data courtesy Fairall & Collins The upwelling of cold, nutrient rich deep water creates gradients in biological productivity that should translate into gradients of DMS emissions and other . We can exploit these gradients to study the factors controlling fluxes, aerosol chemistry, and cloud properties. In the remote marine atmosphere the supply of DMS and its oxidation mechanisms limit the rates of new particle nucleation and growth.