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  • 1
    Keywords: Life sciences ; Life Sciences ; Geobiology ; Aquatic ecology ; Marine sciences ; Freshwater ; Life sciences ; Geobiology ; Aquatic ecology ; Marine sciences ; Freshwater
    Description / Table of Contents: Preface to Global Ecology and Oceanography of Harmful Algal BlooHarmful algal Blooms and the Importance of Understanding their Ecology and Oceanography -- Establishment, Goals, and Legacy of the Global Ecology and Oceanography of Harmful Algal Blooms (GEOHAB) Program -- Changing Land, Sea- and Airscapes: Sources of Nutrient Pollution Affecting Habitat Suitability for Harmful Algae -- Harmful Algal Blooms in a Changing Ocean -- Nutrients and HABs: Dynamic Kinetics and Flexible Nutrition -- Mixotrophy in HABs: by Whom, on Whom, When, Why, and What Next -- The Role of Life Cycle Characteristics in Harmful Algal Bloom Dynamics -- Key Questions and Recent Research Advances on Harmful Algal Blooms in Stratified Systems -- Key Questions and Recent Research Advances on Harmful Algal Blooms in Fjords and Coastal Embayments -- Key Questions and Recent Research Advances on Harmful Algal Blooms in Eastern Boundary Upwelling Systems -- Key Questions and Recent Research Advances on Harmful Algal Blooms in Relation to Nutrients and Eutrophication -- Key Questions and Recent Research Advances on Harmful Algal Blooms in Benthic Systems -- Overview of Harmful Algal Blooms in Asia -- Harmful Algal Blooms in the Coastal Waters of China -- Green Tides of the Yellow Sea: Massive Free-floating Blooms of Ulva prolifera -- Ecological Drivers of Green Noctiluca Blooms in Two Monsoonally Driven Ecosystems -- Advancements and Continuing Challenges of Emerging Technologies and Tools for Detecting Harmful Algal Blooms, Their Antecedent Conditions and Toxins, and Applications in Predictive Models -- Recent Advances in Modelling of Harmful Algal Blooms -- Emerging HAB Research Issues in Freshwater Environments -- Mitigation and Control of HABs -- GlobalHAB: Fostering International Coordination on Harmful Algal Bloom Research in Aquatic Systems.
    Type of Medium: Online Resource
    Pages: Online-Ressource (XVI, 461 p. 71 illus., 60 illus. in color, online resource)
    ISBN: 9783319700694
    Series Statement: Ecological Studies, Analysis and Synthesis 232
    RVK:
    Language: English
    Note: Includes bibliographical references and index
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Algal blooms. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (460 pages)
    Edition: 1st ed.
    ISBN: 9783319700694
    Series Statement: Ecological Studies ; v.232
    DDC: 363.738
    Language: English
    Note: Intro -- In Memoriam: Otto Ludwig Lange (1927-2017) -- Contents -- List of Abbreviations -- Part I: Introduction to Harmful Algal Blooms and the GEOHAB Programme -- Chapter 1: Introduction to the Global Ecology and Oceanography of Harmful Algal Blooms (GEOHAB) Synthesis -- References -- Chapter 2: Harmful Algal Blooms and the Importance of Understanding Their Ecology and Oceanography -- 2.1 Introduction -- 2.2 What Are Harmful Algal Blooms? -- 2.3 How Are HABs Harmful? -- 2.4 Where Do HABs Occur? -- 2.5 Why Are HABs Expanding? -- 2.6 Why the Need for Advancing Knowledge of HAB Ecology and Oceanography? -- 2.7 Conclusions and the Role of GEOHAB -- References -- Chapter 3: Establishment, Goals, and Legacy of the Global Ecology and Oceanography of Harmful Algal Blooms (GEOHAB) Programme -- 3.1 Introduction -- 3.2 History of GEOHAB -- 3.3 HABs in Upwelling Systems -- 3.4 HABs in Eutrophic Systems -- 3.5 HABs in Stratified Systems -- 3.6 HABs in Fjords and Coastal Embayments -- 3.7 HABs in Benthic Systems -- 3.8 GEOHAB Targeted, Regional, and National Research -- 3.9 Cross-Cutting and Framework Activities -- 3.10 GEOHAB Legacies -- References -- Part II: Global Changes and Harmful Algal Blooms -- Chapter 4: Changing Land-, Sea-, and Airscapes: Sources of Nutrient Pollution Affecting Habitat Suitability for Harmful Algae -- 4.1 Introduction -- 4.2 Land-Based Nutrient Pollution -- 4.3 Changing Seascapes -- 4.4 Coastal Typology and Anthropogenic Changes in Water Flow: Nutrient Retention Effects -- 4.5 Changing Airscapes -- 4.6 Eutrophication Potential and Global HAB Distribution -- 4.7 Future Projections: Millennium Ecosystem Assessment Scenarios -- 4.8 Future Projections: Global Ecosystem Modelling Approaches -- 4.9 Conclusions -- References -- Chapter 5: Harmful Algal Blooms in a Changing Ocean -- 5.1 Introduction. , 5.2 Direct Effects of Temperature on HABs -- 5.3 Direct Effects of Stratification on HABs -- 5.4 Altered Light Field Effects on HABs -- 5.5 Effects of Ocean Acidification on HABs -- 5.6 Effects of Nutrients on HABs -- 5.7 Grazer Effects on HABs -- 5.8 General Strategies to Accelerate Understanding of Climate Change Impacts on HABs -- References -- Part III: Adaptive Strategies and Harmful Algal Blooms -- Chapter 6: Nutrients and Harmful Algal Blooms: Dynamic Kinetics and Flexible Nutrition -- 6.1 Introduction -- 6.2 Limiting Nutrients -- 6.3 Optimal Nutrients -- 6.4 Dynamic Responses -- 6.5 Stoichiometry and Balancing Excess Nutrients -- 6.6 Mixotrophy -- 6.7 Conclusions -- References -- Chapter 7: Mixotrophy in Harmful Algal Blooms: By Whom, on Whom, When, Why, and What Next -- 7.1 Introduction -- 7.2 Mixotrophy Across the Spectrum of Nutrient Supply -- 7.3 Mixotrophs and Cellular Nutrient Stoichiometry -- 7.4 Mixotrophs and the Food Web -- 7.5 Inclusion of Mixotrophy in State-of-the-Art Ecosystem Modelling: The Rationale -- 7.6 Including Mixotrophy in State-of-the-Art Ecosystem Modelling: An Approach -- 7.7 Conclusions -- References -- Chapter 8: The Role of Life Cycle Characteristics in Harmful Algal Bloom Dynamics -- 8.1 Introduction -- 8.2 Dinoflagellates: Alexandrium fundyense and Pyrodinium bahamense -- 8.2.1 Life Cycle of Cyst-Forming Dinoflagellates -- 8.2.2 Bloom Dynamics -- 8.2.2.1 Major Study Areas -- 8.2.2.2 Cyst Distributions and Initiation of Planktonic Blooms -- 8.2.2.3 Bloom Development and Transport -- 8.2.2.4 Sexual Induction and Cyst Formation -- 8.3 Diatoms: Pseudo-nitzschia spp. -- 8.3.1 Life Cycle -- 8.3.2 Bloom Dynamics -- 8.3.3 Modelling of Life Cycle Transitions -- 8.4 Cyanobacteria: Nodularia spumigena -- 8.4.1 Life Cycle -- 8.4.2 Bloom Dynamics -- 8.4.3 Dispersal and Future Distribution -- 8.5 Synthesis and Recommendations. , References -- Part IV: Harmful Algal Blooms in Specific Habitats and Biomes -- Chapter 9: Key Questions and Recent Research Advances on Harmful Algal Blooms in Stratified Systems -- 9.1 Introduction -- 9.2 Key Questions 1: What Are the Turbulence Length Scales Relevant to Harmful Phytoplankton and the Formation of Thin Layers?... -- 9.3 Key Questions 2: What Are the Main Processes Controlling the Population Evolution of a Given Species, and How Does Their R... -- 9.3.1 Bloom Initiation -- 9.3.2 Bloom Maintenance -- 9.3.3 Bloom Decline and TL Erosion -- 9.4 Key Questions 3: How Can We Quantify Modifications in Turbulence by Phytoplankton Through Changes in the Viscosity of Its ... -- 9.5 Key Questions 4: What Nutritional Opportunities Do Thin Layers Provide to Phytoplankton, Especially to the Species Selecte... -- 9.6 Key Question 5: Are Allelopathy and ``Chemical Warfare´´ at Work In Situ Within TLs? -- 9.7 Conclusions and Next Steps -- References -- Chapter 10: Key Questions and Recent Research Advances on Harmful Algal Blooms in Fjords and Coastal Embayments -- 10.1 Introduction -- 10.2 Key Question 1: Are There Definable Adaptive Strategies for HAB Species in Confined and Semi-confined Systems? -- 10.3 Key Question 2: What Is the Importance of Life History Transitions and Cyst Distribution in Bloom Initiation and Maintena... -- 10.4 Key Question 3: How Do Physical Dispersion and Aggregation Processes Within a Semi-confined Basin Affect HAB Growth and D... -- 10.5 Key Question 4: What Is the Relative Contribution of Nutrient Flux and Supply Ratios to HAB Dynamics in Eutrophic Versus ... -- 10.6 Key Question 5: What Is the Importance of Spatial Scale and Retention Time in the Expression and Effects of Allelochemica... -- 10.7 Key Question 6: How Do Embayment Morphology, Bathymetry and Hydrodynamics Affect HAB Dynamics?. , 10.8 Key Question 7: Are the Effects of Human Activities (e.g. Aquaculture) and Global Climate Change on HAB Dynamics Magnifie... -- 10.9 Future Research Priorities -- References -- Chapter 11: Key Questions and Recent Research Advances on Harmful Algal Blooms in Eastern Boundary Upwelling Systems -- 11.1 Introduction -- 11.2 Key Question 1: Are There Definable Adaptive Strategies that Characterize HAB Species in Upwelling Systems? -- 11.3 Key Question 2: What Seeding Strategies Persist Within Upwelling Regions and Are They Consistent Among Regions? -- 11.4 Key Question 3: How Do Small-Scale Physical Processes Affect HAB Growth and Dispersion in Upwelling Systems? -- 11.5 Key Question 4: How Do Nutrient Supply Type and Ratios Determine HAB Population Dynamics in Upwelling Systems? -- 11.6 Key Question 5: What Is the Role of Genetic Predisposition Versus Environmental Conditions in Toxin Production in Differe... -- 11.7 Key Question 6: How Does Coastal Morphology and Bathymetry Affect HAB Dynamics in Upwelling Systems? -- 11.8 Key Question 7: What Is the Relative Importance of Cross-Shelf and Along-Shore Advection for HABs in Different Upwelling ... -- 11.9 Key Question 8: Are Climate Indicators Predictive of HAB Events in Upwelling Systems? -- 11.10 HAB Prediction -- 11.11 Conclusions -- References -- Chapter 12: Key Questions and Recent Research Advances on Harmful Algal Blooms in Relation to Nutrients and Eutrophication -- 12.1 Introduction -- 12.2 Key Question 1: Are There Clusters or Specific Types of HAB Species that Are Indicative of Global HAB Increases? -- 12.3 Key Question 2: To What Extent Do Residence Time and Other Physical Processes Impact the Relationship Between Nutrient Lo... -- 12.4 Key Question 3: How Do Feedbacks and Interactions Between Nutrients and the Planktonic, Microbial Food Web Impact HABs an. , 12.5 Key Question 4.0: Do Anthropogenic Alterations of the Food Web, Including Overfishing and Aquaculture Activities, Synergi... -- 12.6 Key Question 5: How Do Anthropogenic Changes in Land Use, Agricultural Use of Fertilizer, NOx Emissions from Vehicles, an... -- 12.7 Key Question 6: How Do the Stoichiometry and Quality of These Nutrient Sources Regulate the Biological Response, Includin... -- 12.8 Key Question 7: Do Climate Change and Climate Variability Have Impacts on Ecosystems that Augment the Impacts of Eutrophi... -- 12.9 Conclusions -- References -- Chapter 13: Key Questions and Recent Research Advances on Harmful Algal Blooms in Benthic Systems -- 13.1 Introduction -- 13.2 Key Question 1: What Is the Biogeography and Biodiversity of BHABs and the Relationships Among Distributions of BHAB Spec... -- 13.2.1 Gambierdiscus -- 13.2.2 Ostreopsis -- 13.3 Key Question 2: What Are the Relationships Between Eutrophication and Nutrient Transformation Pathways and BHAB Populatio... -- 13.3.1 Gambierdiscus -- 13.3.2 Ostreopsis -- 13.4 Key Question 3: Are There Particular Characteristics and Adaptations of BHAB Species That Determine When and Where They O... -- 13.4.1 Gambierdiscus -- 13.4.2 Ostreopsis -- 13.5 Key Question 4: Are There Mechanisms Underlying BHAB Population and Community Dynamics Across Ecosystem Types That Are Re... -- 13.6 Key Question 5: What New Observation and Modelling Approaches Are Available to Help in the Detection and Prediction of BH... -- 13.7 BHAB Toxins -- 13.7.1 Gambierdiscus -- 13.7.2 Ostreopsis -- 13.8 Impacts on Human Health -- 13.8.1 Health Disorders Associated with Gambierdiscus Outbreaks -- 13.8.2 Health Disorders Associated with Ostreopsis Outbreaks -- 13.9 Summary and Recommendations -- References -- Part V: Spotlight on Harmful Algal Blooms in Asia -- Chapter 14: Overview of Harmful Algal Blooms in Asia. , 14.1 Introduction.
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  • 3
    Publication Date: 2021-01-08
    Description: In recent years, there has been a widespread deployment of submersible fluorescence sensors by water utilities. They are used to measure diagnostic pigments and estimate algae and cyanobacteria abundance in near real-time. Despite being useful and promising tools, operators and decision-makers often rely on the data provided by these probes without a full understanding of their limitations. As a result, this may lead to wrong and misleading estimations which, in turn, means that researchers and technicians distrust these sensors. In this review paper, we list and discuss the main limitations of such probes, as well as identifying the effect of environmental factors on pigment production, and in turn, the conversion to cyanobacteria abundance estimation. We argue that a comprehensive calibration approach to obtain reliable readings goes well beyond manufacturers’ recommendations, and should involve several context-specific experiments. We also believe that if such a comprehensive set of experiments is conducted, the data collected from fluorescence sensors could be used in artificial intelligence modelling approaches to reliably predict, in near real-time, the presence and abundance of different cyanobacteria species. This would have significant benefits for both drinking and recreational water management, given that cyanobacterial toxicity, and taste and odour compounds production, are species-dependent.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2022-01-31
    Description: Previous studies have shown that under laboratory conditions, dissolved organic matter (DOM) leached from plants can be differentially more phytotoxic to cyanobacteria, compared to green algae. This study examined how DOM source and transformation processes (microbial and photochemical) affect its chemical composition and phytotoxicity towards a cultured species of cyanobacteria (Raphidiopsis raciborskii) using a factorial experimental design. To complement cyanobacterial bioassays, the chemical composition and associated changes in DOM were determined using spectroscopic (nuclear magnetic resonance (NMR) and absorbance) and elemental analyses. Sunlight exposed DOM from leaves of the terrestrial plants, Casuarina cunninghamiana and Eucalyptus tereticornis had the most phytotoxic effect compared to DOM not exposed to sunlight. This phytotoxic DOM was characterised by relatively low nitrogen content, containing highly coloured and relatively high molecular mass constituents. Both mixed effect model and PCA approaches to predict inhibition of photosynthetic yield indicated phytotoxicity could be predicted (P 〈 0.001) based upon the following parameters: C: N ratio; gilvin, and lignin-derived phenol content of DOM. Parallel proton-detected 1D and 2D NMR techniques showed that glucose anomers were the major constituents of fresh leachate. With ageing, glucose anomers disappeared and products of microbial transformation appeared, but there was no indication of the appearance of additional phytotoxic compounds. This suggests that reactive oxygen species may be responsible, at least partially, for DOM phytotoxicity. This study provides important new information highlighting the characteristics of DOM that link with phytotoxic effects.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2017-01-20
    Description: There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,621,847 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://portal.aodn.org.au/) allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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