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  • 1
    Keywords: Phytoplankton ; Meeresplankton
    In: 2009/10
    Type of Medium: Book
    Pages: 197 S. , Ill., graph. Darst.
    ISBN: 9788774821151
    Series Statement: ICES cooperative research report 313
    Language: English
    Note: Literaturverz. S. 180 - 194
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  • 2
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    PANGAEA
    In:  Supplement to: García-Corral, Lara S; Holding, Johnna; Carrillo-de-Albornoz, Paloma; Steckbauer, Alexandra; Pérez-Lorenzo, Maria; Navarro, Nuria; Serret, Pablo; Gasol, Josep M; Morán, Xosé Anxelu G; Estrada, Marta; Fraile-Nuez, Eugenio; Benítez-Barrios, Verónica M; Agustí, Susana; Duarte, Carlos Manuel (2017): Temperature dependence of plankton community metabolism in the subtropical and tropical ocean. Global Biogeochemical Cycles, 31(7), 1141-1154, https://doi.org/10.1002/2017GB005629
    Publication Date: 2023-07-05
    Description: Here we assess the temperature dependence of the metabolic rates (gross primary production - GPP, community respiration - CR and the ratio GPP/CR) of oceanic plankton communities. We compile data from 133 stations of the Malaspina 2010 Expedition, distributed among the subtropical and tropical Atlantic, Pacific and Indian oceans. We used the in vitro technique to measured metabolic rates during 24 h incubations at three different sampled depths: surface, 20% and 1% of the photosynthetically active radiation measured at surface. We also measured the % of ultraviolet B radiation (UVB) penetrating at surface waters. GPP and CR rates increased with warming, albeit different responses were observed for each sampled depth. The overall GPP/CR ratio declined with warming. Higher activation energies (Ea's) were derived for both processes (GPPChla = 0.97; CRChla = 1.26; CRHPA= 0.95 eV) compared to those previously reported. The Indian Ocean showed the highest Ea (GPPChla = 1.70; CRChla = 1.48; CRHPA= 0.57 eV), while the Atlantic Ocean showed the lowest (GPPChla = 0.86; CRChla = 0.77; CRHPA= -0.13 eV). We believe that the difference between previous assessments and the ones presented here can be explained by the overrepresentation of Atlantic communities in the previous data sets. We found that UVB radiation also affects the temperature dependence of surface GPP, which decreased rather than increased under high levels of UVB. Ocean warming, which causes stratification and oligotrophication of the subtropical and tropical oceans, may lead to reduced surface GPP as a result of increased penetration of UVB radiation.
    Keywords: 29HE20101215; 29HE20110117; 29HE20110211; 29HE20110317; 29HE20110416; 29HE20110513; 29HE20110619; Bio-Rosette; BRO; Canarias Sea; Caribbean Sea; Chlorophyll a; DATE/TIME; DEPTH, water; Depth comment; Event label; Gross primary production/Respiration rate ratio; Gross primary production of oxygen; Gross primary production of oxygen, standard error; Hespérides; Indian Ocean; LATITUDE; LONGITUDE; MALASPINA_LEG1; MALASPINA_LEG1_003-2; MALASPINA_LEG1_006-2; MALASPINA_LEG1_007-2; MALASPINA_LEG1_008-2; MALASPINA_LEG1_009-2; MALASPINA_LEG1_010-2; MALASPINA_LEG1_011-2; MALASPINA_LEG1_012-2; MALASPINA_LEG1_013-2; MALASPINA_LEG1_014-2; MALASPINA_LEG1_015-2; MALASPINA_LEG1_016-2; MALASPINA_LEG1_017-2; MALASPINA_LEG1_018-2; MALASPINA_LEG1_019-2; MALASPINA_LEG1_020-2; MALASPINA_LEG1_021-2; MALASPINA_LEG1_022-2; MALASPINA_LEG1_023-2; MALASPINA_LEG1_024-2; MALASPINA_LEG1_025-2; MALASPINA_LEG2; MALASPINA_LEG2_027-2; MALASPINA_LEG2_028-2; MALASPINA_LEG2_029-2; MALASPINA_LEG2_030-2; MALASPINA_LEG2_031-2; MALASPINA_LEG2_032-2; MALASPINA_LEG2_033-2; MALASPINA_LEG2_034-2; MALASPINA_LEG2_035-2; MALASPINA_LEG2_037-2; MALASPINA_LEG2_038-2; MALASPINA_LEG2_040-2; MALASPINA_LEG2_041-2; MALASPINA_LEG2_042-2; MALASPINA_LEG2_043-2; MALASPINA_LEG2_044-2; MALASPINA_LEG3; MALASPINA_LEG3_045-2; MALASPINA_LEG3_046-2; MALASPINA_LEG3_047-2; MALASPINA_LEG3_048-2; MALASPINA_LEG3_049-2; MALASPINA_LEG3_050-2; MALASPINA_LEG3_051-2; MALASPINA_LEG3_052-2; MALASPINA_LEG3_053-2; MALASPINA_LEG3_054-2; MALASPINA_LEG3_055-2; MALASPINA_LEG3_056-2; MALASPINA_LEG3_057-2; MALASPINA_LEG3_058-2; MALASPINA_LEG3_059-2; MALASPINA_LEG3_060-2; MALASPINA_LEG3_061-2; MALASPINA_LEG3_062-2; MALASPINA_LEG3_063-2; MALASPINA_LEG3_064-2; MALASPINA_LEG3_065-2; MALASPINA_LEG3_066-2; MALASPINA_LEG3_067-2; MALASPINA_LEG3_068-2; MALASPINA_LEG4; MALASPINA_LEG4_069-2; MALASPINA_LEG4_070-2; MALASPINA_LEG4_071-2; MALASPINA_LEG4_072-2; MALASPINA_LEG4_073-2; MALASPINA_LEG4_074-2; MALASPINA_LEG4_075-2; MALASPINA_LEG4_076-2; MALASPINA_LEG4_077-2; MALASPINA_LEG4_078-2; MALASPINA_LEG5; MALASPINA_LEG5_079-2; MALASPINA_LEG5_082-2; MALASPINA_LEG5_083-2; MALASPINA_LEG5_084-2; MALASPINA_LEG5_085-2; MALASPINA_LEG5_086-2; MALASPINA_LEG5_087-2; MALASPINA_LEG5_088-2; MALASPINA_LEG5_090-2; MALASPINA_LEG5_091-2; MALASPINA_LEG5_092-2; MALASPINA_LEG5_093-2; MALASPINA_LEG5_094-2; MALASPINA_LEG5_095-2; MALASPINA_LEG5_096-2; MALASPINA_LEG5_097-2; MALASPINA_LEG5_098-2; MALASPINA_LEG5_099-2; MALASPINA_LEG6; MALASPINA_LEG6_101-2; MALASPINA_LEG6_102-2; MALASPINA_LEG6_103-2; MALASPINA_LEG6_104-2; MALASPINA_LEG6_106-2; MALASPINA_LEG6_107-2; MALASPINA_LEG6_108-2; MALASPINA_LEG6_109-2; MALASPINA_LEG6_110-2; MALASPINA_LEG6_111-2; MALASPINA_LEG6_112-2; MALASPINA_LEG6_113-2; MALASPINA_LEG6_114-2; MALASPINA_LEG6_115-2; MALASPINA_LEG6_116-2; MALASPINA_LEG6_117-2; MALASPINA_LEG6_118-2; MALASPINA_LEG6_119-2; MALASPINA_LEG6_120-2; MALASPINA_LEG6_121-2; MALASPINA_LEG6_122-2; MALASPINA_LEG6_123-2; MALASPINA_LEG6_124-2; MALASPINA_LEG6_125-2; MALASPINA_LEG7; MALASPINA_LEG7_127-2; MALASPINA_LEG7_128-2; MALASPINA_LEG7_129-2; MALASPINA_LEG7_130-2; MALASPINA_LEG7_131-2; MALASPINA_LEG7_132-2; MALASPINA_LEG7_133-2; MALASPINA_LEG7_134-2; MALASPINA_LEG7_135-2; MALASPINA_LEG7_136-2; MALASPINA_LEG7_137-2; MALASPINA_LEG7_138-2; MALASPINA_LEG7_139-2; MALASPINA_LEG7_140-2; MALASPINA_LEG7_141-2; MALASPINA_LEG7_142-2; MALASPINA_LEG7_143-2; MALASPINA_LEG7_144-2; MALASPINA_LEG7_145-2; MALASPINA_LEG7_146-2; MH005_003; MH008_006; MH009_007; MH010_008; MH011_009; MH012_010; MH013_011; MH014_012; MH015_013; MH016_014; MH017_015; MH018_016; MH019_017; MH020_018; MH021_019; MH022_020; MH023_021; MH024_022; MH025_023; MH026_024; MH027_025; MH036_027; MH037_028; MH038_029; MH039_030; MH040_031; MH041_032; MH042_033; MH043_034; MH044_035; MH046_037; MH047_038; MH049_040; MH050_041; MH051_042; MH052_043; MH053_044; MH061_045; MH062_046; MH063_047; MH064_048; MH065_049; MH066_050; MH067_051; MH072_052; MH073_053; MH074_054; MH075_055; MH076_056; MH077_057; MH078_058; MH079_059; MH080_060; MH081_061; MH082_062; MH083_063; MH084_064; MH086_066; MH087_067; MH095_069; MH096_070; MH097_071; MH098_072; MH099_073; MH100_074; MH101_075; MH103_077; MH104_078; MH124_080; MH126_082; MH127_083; MH128_084; MH129_085; MH130_086; MH131_087; MH132_088; MH134_090; MH135_091; MH136_092; MH137_093; MH138_094; MH139_095; MH140_096; MH141_097; MH142_098; MH143_099; MH150_101; MH151_102; MH152_103; MH153_104; MH155_106; MH156_107; MH157_108; MH158_109; MH159_110; MH160_111; MH161_112; MH162_113; MH163_114; MH164_115; MH165_116; MH166_117; MH167_118; MH169_120; MH170_121; MH171_122; MH172_123; MH173_124; MH174_125; MH188_127; MH189_128; MH190_129; MH191_130; MH193_131; MH194_132; MH195_133; MH196_134; MH197_135; MH198_136; MH199_137; MH200_138; MH201_139; MH202_140; MH203_141; MH204_142; MH205_143; MH206_144; MH207_145; MH208_146; North Pacific Ocean; Percentage; Prokaryotes, heterotroph; Respiration rate, oxygen; Respiration rate, oxygen, standard error; South Atlantic Ocean; South Pacific Ocean; Station label; Tasman Sea; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3905 data points
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  • 3
    Publication Date: 2017-05-02
    Description: To determine the effects of Saharan dust on the abundance, biomass, community structure, and metabolic activity of oceanic microbial plankton, we conducted eight bioassay experiments between ca. 30 degrees N and 30 degrees S in the central Atlantic Ocean. We found that, although bulk abundance and biomass tended to remain unchanged, different groups of phytoplankton and bacterioplankton responded differently to Saharan dust addition. The predominant type of metabolic response depended on the ecosystem's degree of oligotrophy and was modulated by competition for nutrients between phytoplankton and heterotrophic bacteria. The relative increase in bacterial production, which was the dominant response to dust addition in ultraoligotrophic environments, became larger with increasing oligotrophy. In contrast, primary production, which was stimulated only in the least oligotrophic waters, became less responsive to dust as the ecosystem's degree of oligotrophy increased. Given the divergent consequences of a predominantly bacterial vs. phytoplanktonic response, dust inputs can, depending on the ecosystem's degree of oligotrophy, stimulate or weaken biological CO2 drawdown. Thus, the biogeochemical implications of changing dust fluxes might not be universal, but variable through both space and time.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2018-11-09
    Description: Protists (microbial eukaryotes) are diverse, major components of marine ecosystems, and are fundamental to ecosystem services. In the last 10 years, molecular studies have highlighted substantial novel diversity in marine systems including sequences with no taxonomic context. At the same time, many known protists remain without a DNA identity. Since the majority of pelagic protists are too small to identify by light microscopy, most are neither comprehensively or regularly taken into account, particularly in Long-term Ecological Research Sites. This potentially undermines the quality of research and the accuracy of predictions about biological species shifts in a changing environment. The ICES Working Group for Phytoplankton and Microbial Ecology conducted a questionnaire survey in 2013–2014 on methods and identification of protists using molecular methods plus a literature review of protist molecular diversity studies. The results revealed an increased use of high-throughput sequencing methods and a recognition that sequence data enhance the overall datasets on protist species composition. However, we found only a few long-term molecular studies and noticed a lack of integration between microscopic and molecular methods. Here, we discuss and put forward recommendations to improve and make molecular methods more accessible to Long-term Ecological Research Site investigators.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 5
    Publication Date: 2020-06-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 6
    Publication Date: 2022-05-25
    Description: Author Posting. © Inter-Research, 2008. This article is posted here by permission of Inter-Research for personal use, not for redistribution. The definitive version was published in Aquatic Microbial Ecology 53 (2008): 21-38, doi:10.3354/ame01230.
    Description: We now have a relatively good idea of how bulk microbial processes shape the cycling of organic matter and nutrients in the sea. The advent of the molecular biology era in microbial ecology has resulted in advanced knowledge about the diversity of marine microorganisms, suggesting that we might have reached a high level of understanding of carbon fluxes in the oceans. However, it is becoming increasingly clear that there are large gaps in the understanding of the role of bacteria in regulating carbon fluxes. These gaps may result from methodological as well as conceptual limitations. For example, should bacterial production be measured in the light? Can bacterial production conversion factors be predicted, and how are they affected by loss of tracers through respiration? Is it true that respiration is relatively constant compared to production? How can accurate measures of bacterial growth efficiency be obtained? In this paper, we discuss whether such questions could (or should) be addressed. Ongoing genome analyses are rapidly widening our understanding of possible metabolic pathways and cellular adaptations used by marine bacteria in their quest for resources and struggle for survival (e.g. utilization of light, acquisition of nutrients, predator avoidance, etc.). Further, analyses of the identity of bacteria using molecular markers (e.g. subgroups of Bacteria and Archaea) combined with activity tracers might bring knowledge to a higher level. Since bacterial growth (and thereby consumption of DOC and inorganic nutrients) is likely regulated differently in different bacteria, it will be critical to learn about the life strategies of the key bacterial species to achieve a comprehensive understanding of bacterial regulation of C fluxes. Finally, some processes known to occur in the microbial food web are hardly ever characterized and are not represented in current food web models. We discuss these issues and offer specific comments and advice for future research agendas.
    Description: Our work was supported by the following grants: NSF grant 0217282 (H.D.), Spanish MEC grant MODIVUS (J.M.G.), the Swedish Science Council (J.P.), the IEO time-series RADIALES programme (X.A.G.M.), the Earth and Life Science Division of the Dutch Science Foundation, ARCHIMEDES project, #835.20.023 (G.J.H.).
    Keywords: Carbon flux ; Microbial ecology ; Ocean ; Bacteria ; Protists ; Light ; Genomics ; Chemoautotrophy ; Models
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of Blackwell Publishing for personal use, not for redistribution. The definitive version was published in Global Change Biology 16 (2010): 1137-1144, doi:10.1111/j.1365-2486.2009.01960.x.
    Description: The macroecological relationships between marine phytoplankton total cell density, community size structure and temperature have lacked a theoretical explanation. The tiniest members of this planktonic group comprise cyanobacteria and eukaryotic algae smaller than 2 μm in diameter, collectively known as picophytoplankton. We combine here two ecological rules, the temperature-size relationship with the allometric size-scaling of population abundance to explain a remarkably consistent pattern of increasing picophytoplankton biomass with temperature over the -0.6 to 22ºC range in a merged dataset obtained in the eastern and western temperate North Atlantic Ocean across a diverse range of environmental conditions. Our results show that temperature alone was able to explain 73% of the variance in the relative contribution of small cells to total phytoplankton biomass regardless of differences in trophic status or inorganic nutrient loading. Our analysis predicts a gradual shift towards smaller primary producers in a warmer ocean. Since the fate of photosynthesized organic carbon largely depends on phytoplankton size we anticipate future alterations in the functioning of oceanic ecosystems.
    Description: X.A.G.M., A.C.-D. and Á.L.-U. acknowledge the financial support of research grants VARIPLACA (REN2001-0345/MAR), PERPLAN (CTM2006-04854/MAR) and the RADIALES time-series program of the Instituto Español de Oceanografía. W.K.W.L. was supported by the Canadian Department of Fisheries and Oceans Strategic Science Fund in the Ocean Climate Program and the Atlantic Zone Monitoring Program. This work was partially funded by Theme 6 of the EU Seventh Framework Programme through the Marine Ecosystem Evolution in a Changing Environment (MEECE No 212085) Collaborative Project.
    Keywords: Temperature ; Phytoplankton ; Cell size ; Cell abundance ; Picophytoplankton ; Allometric relationships ; Ocean warming ; North Atlantic
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 8
    Publication Date: 2022-05-26
    Description: Author Posting. © American Society of Limnology and Oceanography, 2011. This article is posted here by permission of American Society of Limnology and Oceanography for personal use, not for redistribution. The definitive version was published in Limnology and Oceanography 56 (2011): 37-48, doi:10.4319/lo.2011.56.1.0037.
    Description: Flow cytometric determinations of membrane integrity, nucleic acid content, and respiratory activity were combined with dilution cultures in Waquoit Bay Estuary (Massachusetts) to estimate specific growth rates of total, live, high (HNA), and low (LNA) nucleic acid content and actively respiring (CTC+) cells. Bacterial abundance ranged from 106 to 107 cells mL-1, with live cells generally contributing 〉 85% to total numbers, 42-82% HNA cells, and 3-36% CTC+ cells. Specific growth rates (µ) from all physiological groups were positively correlated, but they showed different temperature dependences, with activation energies ranging from 0.28 (live) to 0.97 eV (LNA). The µ values of live cells (0.14-2.40 d-1) were similar to those of total bacteria (0.06-1.53 d-1). LNA bacteria were not dormant but showed positive growth in most experiments, although HNA cells greatly outgrew LNA cells (µ ranges of 0.28-2.26 d-1 vs. 0-0.69 d-1), and CTC+ cells showed the highest values (0.12-2.65 d-1). Positive correlations of HNA bacteria µ with total and phytoplankton-derived dissolved organic carbon support the previously hypothesized strong bottom-up control of HNA cells. Bacterial production estimated from leucine incorporation and empirical conversion factors agreed well with estimates based on growth rates. HNA cells were always responsible for the largest share of bacterial production in the estuary. The contribution of CTC+ cells significantly increased with temperature in the 7-27°C range, reaching values of 40% at temperatures higher than 20°C.
    Description: This study was supported by the Spanish Ministry of Science and Innovation (MICINN) sabbatical stay program (to X.A.G.M.), National Science Foundation Office of Polar Programs grant 0823101 to H.W.D., and by the Marine Biological Laboratory.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 9
    Publication Date: 2022-05-26
    Description: Author Posting. © Inter-Research, 2010. This article is posted here by permission of Inter-Research for personal use, not for redistribution. The definitive version was published in Aquatic Microbial Ecology 58 (2010): 229-239, doi:10.3354/ame01374.
    Description: The regulation of heterotrophic bacterial growth by resource supply (bottom-up control) was temperature-dependent in our analysis of data obtained during 2006 in the euphotic layer of the southern Bay of Biscay (NE Atlantic) continental shelf. The dataset was split into 2 subgroups using 16°C as the boundary between warm and cool waters based on differences in associated physico-chemical conditions, e.g. inorganic nutrient limitation at higher temperatures. The linear regressions between bacterial biomass (BB) and leucine incorporation rates (LIR) were significantly positive in both temperature regimes, thus indicating similar total bottom-up control, albeit with a slightly higher slope in warm waters (0.33 vs. 0.22). However, the relationship of LIR with phytoplankton biomass (chl a), which is an indicator of bottom-up control that is mediated by phytoplankton, was only significant in waters below 16°C. The analysis of bimonthly variations in the BB-LIR and LIR-chl a correlations indicated that the strength of total bottom-up control significantly increased while the role of phytoplankton in supplying DOM to bacteria diminished with mean temperatures over the 12 to 19°C range, suggesting a seasonal switch in the major source of substrates used by bacteria. We show that the abundance of cells with relatively high nucleic acid content (HNA), which are hypothesized to be the most active ones, was positively associated with bacterial production and specific growth rates in cool but not in warm conditions. These results suggest that HNA bacteria are good predictors of bulk activity and production in temperate ecosystems only when the community relies principally on phytoplankton substrates for growth and metabolism.
    Description: X.A.G.M. was partially supported by a sabbatical grant at the MBL from the Spanish Ministry of Education and Science (MEC) and A.C.-D. received an FPI research training predoctoral fellowhip. This work was supported by the time-series project RADIALES from the Instituto Espanol de Oceanografia (IEO).
    Keywords: Bacterioplankton ; Bottom-up control ; Temperature ; Bacterial biomass ; Bacterial activity ; Phytoplankton ; Coastal waters
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 10
    Publication Date: 2024-04-10
    Description: Phytoplankton play a central role in the planetary cycling of important elements and compounds. Understanding how phytoplankton are responding to climate change is consequently a major question in Earth Sciences. Monitoring phytoplankton is key to answering this question. Satellite remote sensing of ocean colour is our only means of monitoring phytoplankton in the entire surface ocean at high temporal and large spatial scales, and the continuous ocean-colour data record is now approaching a length suitable for addressing questions around climate change, at least in some regions. Yet, developing ocean-colour algorithms for climate change studies requires addressing issues of ambiguity in the ocean-colour signal. For example, for the same chlorophyll-a concentration (Chl-a) of phytoplankton, the colour of the ocean can be different depending on the type of phytoplankton present. One route to tackle the issue of ambiguity is by enriching the ocean-colour data with information on sea surface temperature (SST), a good proxy of changes in three phytoplankton size classes (PSCs) independent of changes in total Chl-a, a measure of phytoplankton biomass. Using a global surface insitu dataset of HPLC (high performance liquid chromatography) pigments, size-fractionated filtration data, and concurrent satellite SST spanning from 1991 to 2021, we re-tuned, validated and advanced an SST-dependent three-component model that quantifies the relationship between total Chl-a and Chl-a associated with the three PSCs (pico-, nano- and microplankton). Similar to previous studies, striking dependencies between model parameters and SST were captured, which were found to improve model performance significantly. These relationships were applied to 40 years of monthly composites of satellite SST, and significant trends in model parameters were observed globally, in response to climate warming. Changes in these parameters highlight issues in estimating long-term trends in phytoplankton biomass (Chl-a) from ocean colour using standard empirical algorithms, which implicitly assume a fixed relationship between total Chl-a and Chl-a of the three size classes. The proposed ecological model will be at the centre of a new ocean-colour modelling framework, designed for investigating the response of phytoplankton to climate change, described in subsequent parts of this series of papers.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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