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Journal articles on the topic 'Harmful algal bloom (HAB)'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 June 2025

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1

Mitra, Aditee, and Kevin J. Flynn. "Promotion of harmful algal blooms by zooplankton predatory activity." Biology Letters 2, no. 2 (2006): 194–97. http://dx.doi.org/10.1098/rsbl.2006.0447.

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The relationship between algae and their zooplanktonic predators typically involves consumption of nutrients by algae, grazing of the algae by zooplankton which in turn enhances predator biomass, controls algal growth and regenerates nutrients. Eutrophication raises nutrient levels, but does not simply increase normal predator–prey activity; rather, harmful algal bloom (HAB) events develop often with serious ecological and aesthetic implications. Generally, HAB species are outwardly poor competitors for nutrients, while their development of grazing deterrents during nutrient stress ostensibly

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2

Gurning, Lestari Febriant Pitaloka, Ria Azizah Tri Nuraini, and Suryono Suryono. "Kelimpahan Fitoplankton Penyebab Harmful Algal Bloom di Perairan Desa Bedono, Demak." Journal of Marine Research 9, no. 3 (2020): 251–60. http://dx.doi.org/10.14710/jmr.v9i3.27483.

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ABSTRAK: Fitoplankton adalah produsen primer yang struktur komunitasnya mudah berubah oleh perubahan sifat fisik, kimia (zat-zat hara) dan biologi ekosistemnya, sehingga keberadaan fitoplankton dalam suatu perairan bukan hanya dapat dijadikan parameter biologi dalam analisis status kualitas lingkungan perairan. Harmful Algal Bloom (HAB) merupakan fenomena yang sering terjadi di perairan laut. Definisi Harmful Algal Bloom (HAB) adalah pertambahan populasi fitoplankton yang dapat menimbulkan kerugian bagi ekosistem di sekitarnya, biota laut yang hidup didalamnya, maupun manusia yang hidup di wil

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3

Son, Geunsoo, Dongsu Kim, Young Do Kim, Siwan Lyu, and Soojeong Kim. "A Forecasting Method for Harmful Algal Bloom(HAB)-Prone Regions Allowing Preemptive Countermeasures Based only on Acoustic Doppler Current Profiler Measurements in a Large River." Water 12, no. 12 (2020): 3488. http://dx.doi.org/10.3390/w12123488.

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Harmful algal blooms (HABs) have been recognized as a serious problem for aquatic ecosystems and a threat to drinking water systems. The proposed method aimed to develop a practical and rapid countermeasure, enabling preemptive responses to massive algal blooms, through which prior to the algal bloom season we can identify HAB-prone regions based on estimations of where harmful algae initiates and develops significantly. The HAB-prone regions were derived from temperature, depth, flow velocity, and sediment concentration data based only on acoustic Doppler current profilers (ADCPs) without rel

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4

Krimsky, Lisa, Elizabeth Staugler, Dail Laughinghouse IV, and Joy Hazell. "Florida Sea Grant Symposia Promote Collaboration Among Harmful Algal Bloom Stakeholders." Oceanography 37, no. 1 (2024): 70–74. http://dx.doi.org/10.5670/oceanog.2024.209.

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Algal blooms are a pervasive problem for Florida, and successful management decisions must rely on the best available science. In 2019, Florida Sea Grant convened a forum of harmful algal bloom (HAB) scientists for the first Harmful Algal Bloom State of the Science Symposium. The goals of the two-day forum were to develop consensus statements identifying the current state of the science regarding what we know and what we think we know, data gaps and areas of uncertainty, and research priorities, with a focus on Karenia brevis red tides and Microcystis aeruginosa cyanobacterial blooms. In 2023,

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5

Su, Robin C., Casey M. Meyers, Emily A. Warner, et al. "Harmful Algal Bloom Toxicity in Lithobates catesbeiana Tadpoles." Toxins 12, no. 6 (2020): 378. http://dx.doi.org/10.3390/toxins12060378.

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Harmful algal blooms (HAB) have become a major health concern worldwide, not just to humans that consume and recreate on contaminated waters, but also to the fauna that inhabit the environments surrounding affected areas. HABs contain heterotrophic bacteria, cyanobacterial lipopolysaccharide, and cyanobacterial toxins such as microcystins, that can cause severe toxicity in many aquatic species as well as bioaccumulation within various organs. Thus, the possibility of trophic transference of this toxin through the food chain has potentially important health implications for other organisms in t

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6

Yussof, Fatin Nadiah, Normah Maan, Mohd Nadzri Md Md Reba, and Faisal Ahmed Khan. "Mathematical Modelling of Harmful Algal Blooms on West Coast of Sabah." Mathematics 10, no. 16 (2022): 2836. http://dx.doi.org/10.3390/math10162836.

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Algal bloom is a condition in which there is a massive growth of algae in a certain region and it is said to be harmful when the bloom causes damage effects. Due to the tremendous impact of harmful algal bloom (HAB) on some aspects, this research proposes the mathematical modelling of an HAB model to describe the process of HAB together with population dynamics. This research considers the delay terms in the modelling since the liberation of toxic chemicals by toxin-producing phytoplankton (TPP) is not an instantaneous process in which the species need to achieve their maturity. A model of fis

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7

Khan, Saleha, Nowrin Akter Shaika, and Sunzida Sultana. "Harmful algal blooms in the coastal waters of Bangladesh: an overview." Journal of Aquaculture and Marine Biology 11, no. 3 (2022): 105–11. http://dx.doi.org/10.15406/jamb.2022.11.00344.

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Harmful algal blooms (HABs) constitute a global problem, affecting aquatic ecosystems, human health, fisheries and local economies. The Bay of Bengal, along the Bangladesh coast, is exceedingly suffering from pollution or anthropogenic nutrification that influences frequently occurring HAB species. The progression of climate change and eutrophication invigorate HAB trends and responses that in turn affect the respective coastal livelihood and economic growth. Tripos spp., Dinophysis spp., Protoperidinium spp., Chaetoceros spp., and Pseudo-nitzschia spp. are the common bloom-forming HAB species

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8

Aditya, Vishnu, Asep Koswara, Nurul Fitriya, Arief Rachman, Tumpak Sidabutar, and Hikmah Thoha. "PUBLIC AWARENESS ON HARMFUL ALGAL BLOOM (HAB) IN LAMPUNG BAY." Marine Research in Indonesia 38, no. 2 (2015): 71–75. http://dx.doi.org/10.14203/mri.v38i2.58.

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Harmful algal blooms (HABs) cause various problems, such as water quality degradation, fauna mass mortality and impairment of human health. Water quality monitoring in Lampung Bay has been conducted by Lampung Marine Aquaculture Office (BBL) of the Ministry of Marine Affairs and Fisheries since 1994. Occurrence of Pyrodinium bahamense var. compressum (Pbc), a causative organism of paralytic shellfish poisoning (PSP), has been recorded but threats caused by HABs have never been reported. A study aimed to know the level of public knowledge and awareness about HABs in Lampung Bay has been conduct

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9

Busari, Ibrahim, Debabrata Sahoo, R. Daren Harmel, and Brian E. Haggard. "A Review of Machine Learning Models for Harmful Algal Bloom Monitoring in Freshwater Systems." Journal of Natural Resources and Agricultural Ecosystems 1, no. 2 (2023): 63–76. http://dx.doi.org/10.13031/jnrae.15647.

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Highlights Machine Learning (ML) models are identified, reviewed, and analyzed for HAB predictions. Data preprocessing is vital for efficient ML model development. ML models for toxin production and monitoring are limited. Abstract. Harmful algal blooms (HABs) are detrimental to livestock, humans, pets, the environment, and the global economy, which calls for a robust approach to their management. While process-based models can inform practitioners about HAB enabling conditions, they have inherent limitations in accurately predicting harmful algal blooms. To address these limitations, Machine

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10

Matcher, G., DA Lemley, and JB Adams. "Bacterial community dynamics during a harmful algal bloom of Heterosigma akashiwo." Aquatic Microbial Ecology 86 (May 6, 2021): 153–67. http://dx.doi.org/10.3354/ame01963.

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Phytoplankton bloom events result in distinct changes in the composition and availability of nutrients as well as physical conditions within aquatic ecosystems, resulting in significant effects on bacterial communities. Using a metabarcoding approach, this study investigated the effect of a harmful algal bloom (HAB) of Heterosigma akashiwo in the Sundays Estuary, South Africa, on bacterial community structures in this estuarine ecosystem over an entire bloom event. The occurrence of bacterial lineages occurring in both the oxygen-rich surface water and hypoxic bottom waters in this study refle

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FRIEDMAN, MELISSA A., and BONNIE E. LEVIN. "Neurobehavioral effects of harmful algal bloom (HAB) toxins: A critical review." Journal of the International Neuropsychological Society 11, no. 3 (2005): 331–38. http://dx.doi.org/10.1017/s1355617705050381.

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Human exposure to naturally occurring marine toxins has been associated with a range of neurobehavioral abnormalities. The toxins are produced by harmful algal blooms (HABs) and are typically contracted through seafood consumption. The primary target of many of the HAB toxins is the neurologic system, and the neurobehavioral symptoms associated with the HAB illnesses have influenced public health policy. The HAB-related illnesses most frequently linked to neuropsychological disturbance are Amnesic Shellfish Poisoning, Ciguatera Fish Poisoning, and Possible Estuarine Associated Syndrome, which

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Kim, Jungwook, Hongtae Kim, Kyunghyun Kim, and Jung Min Ahn. "Research on the Development and Application of a Deep Learning Model for Effective Management and Response to Harmful Algal Blooms." Water 15, no. 12 (2023): 2293. http://dx.doi.org/10.3390/w15122293.

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Harmful algal blooms (HABs) caused by harmful cyanobacteria adversely impact the water quality in aquatic ecosystems and burden socioecological systems that are based on water utilization. Currently, Korea uses the Environmental Fluid Dynamics Code-National Institute of Environmental Research (EFDC-NIER) model to predict algae conditions and respond to algal blooms through the HAB alert system. This study aimed to establish an additional deep learning model to effectively respond to algal blooms. The prediction model is based on a deep neural network (DNN), which is a type of artificial neural

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13

Li, Changpeng, Bangyi Tao, Yalin Liu, et al. "Assessment of VIIRS on the Identification of Harmful Algal Bloom Types in the Coasts of the East China Sea." Remote Sensing 14, no. 9 (2022): 2089. http://dx.doi.org/10.3390/rs14092089.

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Visible Infrared Imaging Radiometer Suite (VIIRS) data were systematically evaluated and used to detect harmful algal bloom (HAB) and classify algal bloom types in coasts of the East China Sea covered by optically complex and sediment-rich waters. First, the accuracy and spectral characteristics of VIIRS retrieved normalized water-leaving radiance or the equivalent remote sensing reflectance from September 2019 to October 2020 that were validated by the long-term observation data acquired from an offshore platform and underway measurements from a cruise in the Changjiang Estuary and adjacent E

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14

Chen, Yang, Lu Wang, Zhiliang Liu, Du Su, Yibo Wang, and Yanping Qi. "Biodiversity and Interannual Variation of Harmful Algal Bloom Species in the Coastal Sea of Qinhuangdao, China." Life 13, no. 1 (2023): 192. http://dx.doi.org/10.3390/life13010192.

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For the frequent occurrence of harmful algal blooms (HABs) in the Qinhuangdao coastal sea (QCS) of the Bohai Sea in summer, we tested the hypothesis that high-biodiversity HAB species exist in the area, and a series of censuses of HAB species were conducted in the QCS in the summers of 2014–2019. Through morphological identification, we found 100 algae species representing 42 genera in 3 phytoplankton phyla in this study, among which Bacillariophyta was the most dominant phylum. We also found that the population density of Dinoflagellata increased from 2016 to 2019. In total, 59 HAB species we

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15

Zhu, Liangsheng, and Qing Wang. "Numerical Mesocosm Experimental Study on Harmful Algal Blooms of Two Algal Species in the East China Sea." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/169860.

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From the results of algal culture and mesocosm experiments, a numerical mesocosm experiment is designed that accounts for the effect of the marine environment (sea currents, nutrient levels, and temperature) on the harmful algal bloom (HAB) processes ofSkeletonema costatumandProrocentrum donghaiense, two of the most frequent HAB-associated species in the East China Sea. Physical and ecological environment of the waters is simulated numerically by applying a hydrodynamic-ecological-one-way-coupled marine culture box model, which is semienclosed. The algal growth rate is digitalized by a tempera

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16

Bu, Xiangfeng, Kai Liu, Jingyu Liu, and Yunhong Ding. "A Harmful Algal Bloom Detection Model Combining Moderate Resolution Imaging Spectroradiometer Multi-Factor and Meteorological Heterogeneous Data." Sustainability 15, no. 21 (2023): 15386. http://dx.doi.org/10.3390/su152115386.

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Over the past few decades, harmful algal blooms (HABs) have occurred frequently worldwide. The application of harmful algal bloom detection when based solely on water quality measurements proves challenging in achieving broad generalization across various regions. Satellite remote sensing, due to its low risk, cost effectiveness, and wide ground-coverage capabilities, has been extensively employed in HAB detection tasks. However, relying solely on remote sensing data poses issues of false positives, false negatives, and the incomplete consideration of contributing factors in HAB detection. Thi

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17

Messineo, Valentina, Milena Bruno, and Rita De Pace. "The Role of Cyano-HAB (Cyanobacteria Harmful Algal Blooms) in the One Health Approach to Global Health." Hydrobiology 3, no. 3 (2024): 238–62. http://dx.doi.org/10.3390/hydrobiology3030016.

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Harmful algal bloom events occur in salt, brackish, and fresh water. In bodies of water such as oceans and estuaries, diatoms or dinoflagellates form “tides” that produce toxins associated with seafood poisoning, including paralytic shellfish poisoning, or respiratory distress from inhalation of aerosolized toxins. Cyanobacteria predominantly bloom in fresh water; they can produce microcystins; cylindrospermopsin; and other toxins that humans or animals might be exposed to through water contact, inhalation, or ingestion. Animals that become ill or die can be sentinels for harmful algal bloom e

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18

Glibert, Patricia M., Roxane Maranger, Daniel J. Sobota, and Lex Bouwman. "The Haber Bosch–harmful algal bloom (HB–HAB) link." Environmental Research Letters 9, no. 10 (2014): 105001. http://dx.doi.org/10.1088/1748-9326/9/10/105001.

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19

Emiyati, Ety Parwati, and Syarif Budhiman. "HARMFUL ALGAL BLOOM 2012 EVENT VERIFICATION IN LAMPUNG BAY USING RED TIDE DETECTION ON SPOT 4 IMAGE." International Journal of Remote Sensing and Earth Sciences (IJReSES) 14, no. 1 (2017): 1. http://dx.doi.org/10.30536/j.ijreses.2017.v14.a2626.

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In mid-December 2012, harmful algal bloom phenomenon occurred in Lampung Bay. Harmful Algal Bloom (HAB) is blooming of algae in aquatic ecosystems. It has negative impact on living organism, due to its toxic. This study was applied Red Tide (RT) detection algorithm on SPOT 4 images and verified the distribution of HAB 2012 event in Lampung Bay. The HAB event in 2012 in Lampung Bay can be detected by using RT algorithm on SPOT 4 images quantitatively and qualitatively. According to field measurement, the phytoplankton blooming which happen at Lampung Bay in 2012 were Cochlodinium sp. Image anal

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20

Khan, Rabia Munsaf, Bahram Salehi, Masoud Mahdianpari, Fariba Mohammadimanesh, Giorgos Mountrakis, and Lindi J. Quackenbush. "A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective." Remote Sensing 13, no. 21 (2021): 4347. http://dx.doi.org/10.3390/rs13214347.

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Algae serves as a food source for a wide range of aquatic species; however, a high concentration of inorganic nutrients under favorable conditions can result in the development of harmful algal blooms (HABs). Many studies have addressed HAB detection and monitoring; however, no global scale meta-analysis has specifically explored remote sensing-based HAB monitoring. Therefore, this manuscript elucidates and visualizes spatiotemporal trends in HAB detection and monitoring using remote sensing methods and discusses future insights through a meta-analysis of 420 journal articles. The results indi

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Ahn, Soohyoun, David M. Kulis, Deana L. Erdner, Donald M. Anderson, and David R. Walt. "Fiber-Optic Microarray for Simultaneous Detection of Multiple Harmful Algal Bloom Species." Applied and Environmental Microbiology 72, no. 9 (2006): 5742–49. http://dx.doi.org/10.1128/aem.00332-06.

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ABSTRACT Harmful algal blooms (HABs) are a serious threat to coastal resources, causing a variety of impacts on public health, regional economies, and ecosystems. Plankton analysis is a valuable component of many HAB monitoring and research programs, but the diversity of plankton poses a problem in discriminating toxic from nontoxic species using conventional detection methods. Here we describe a sensitive and specific sandwich hybridization assay that combines fiber-optic microarrays with oligonucleotide probes to detect and enumerate the HAB species Alexandrium fundyense, Alexandrium ostenfe

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Rostam, Nur Aqilah Paskhal, Nurul Hashimah Ahamed Hassain Malim, Nur Afzalina Azmee, Renato J. Figueiredo, Mohd Azam Osman, and Rosni Abdullah. "Harmful algal blooms (HAB) open issues: A review of ecological data challenges, factor analysis and prediction approaches using data-driven method." Computing and Artificial Intelligence 1, no. 1 (2023): 100. http://dx.doi.org/10.59400/cai.v1i1.100.

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Ongoing research on the temporal and spatial distribution of algae ecological data has caused intricacies entailing incomprehensible data, model overfit, and inaccurate algal bloom prediction. Relevant scholars have integrated past historical data with machine learning (ML) and deep learning (DL) approaches to forecast the advent of harmful algal blooms (HAB) following successful data-driven techniques. As potential HAB outbreaks could be predicted through time-series forecasting (TSF) to gauge future events of interest, this research aimed to holistically review field-based complexities, infl

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Wen, Shiyong, Xizhen Liu, Siyang Chen, et al. "Hazard Zoning of Harmful Algal Bloom Disasters in Zhejiang Coastal Waters Using GIS: 1933-2021." Journal of Marine Environmental Engineering 11, no. 2 (2024): 115–28. http://dx.doi.org/10.32908/jmee.v11.2024040101.

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The coastal waters of Zhejiang Province in China experience a high incidence of harmful algal blooms (HABs). It is therefore important to carry out hazard zoning to prevent and mitigate these HAB disasters. According to the historical record data of HAB disasters from 1933 to 2021, the frequency, duration, area and algal toxicity of HAB occurrences can be used as evaluation indicators. A method for hazard zoning of HAB disasters and a method for verifying the rationality of the zoning results are proposed. The hazard zoning results of HAB disasters in the coastal waters of Zhejiang from 1933 t

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Uejio, Christopher K., Elaina Gonsoroski, Samendra P. Sherchan, et al. "Harmful algal bloom-related 311 calls, Cape Coral, Florida 2018–2019." Journal of Water and Health 20, no. 3 (2022): 531–38. http://dx.doi.org/10.2166/wh.2022.257.

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Abstract Harmful algal blooms (HABs) can adversely impact water quality and threaten human and animal health. People working or living along waterways with prolonged HAB contamination may face elevated toxin exposures and breathing complications. Monitoring HABs and potential adverse human health effects is notoriously difficult due to routes and levels of exposure that vary widely across time and space. This study examines the utility of 311 calls to enhance HAB surveillance and monitoring. The study focuses on Cape Coral, FL, USA, located along the banks of the Caloosahatchee River and Estua

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Chin Chwan Chuong, Jeremy Jason, Mahbubur Rahman, Nadiah Ibrahim, Lee Yook Heng, Ling Ling Tan, and Asmat Ahmad. "Harmful Microalgae Detection: Biosensors versus Some Conventional Methods." Sensors 22, no. 9 (2022): 3144. http://dx.doi.org/10.3390/s22093144.

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In the last decade, there has been a steady stream of information on the methods and techniques available for detecting harmful algae species. The conventional approaches to identify harmful algal bloom (HAB), such as microscopy and molecular biological methods are mainly laboratory-based and require long assay times, skilled manpower, and pre-enrichment of samples involving various pre-experimental preparations. As an alternative, biosensors with a simple and rapid detection strategy could be an improvement over conventional methods for the detection of toxic algae species. Moreover, recent b

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Kang, Hye-Eun, Tae-Ho Yoon, Sunyoung Yoon, et al. "Genomic analysis of red-tide water bloomed with Heterosigma akashiwo in Geoje." PeerJ 6 (May 29, 2018): e4854. http://dx.doi.org/10.7717/peerj.4854.

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Microbial community structures of harmful algal bloom (HAB) caused by Heterosigma akashiwo in Geoje were analyzed using the MiSeq platform. To analyze phytoplankton communities without cross-reactivity with predominant bacteria, a new phytoplankton-specific 23S universal primer set was designed by modifying two previously used ones. The new universal primer set turned out to be a useful tool for the analysis of the phytoplankton community; it showed a high specificity for phytoplankton without cross-reactivity to bacterial sequences as well as the wide taxon coverage presenting from prokaryoti

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Gianella, Fatima, Michael T. Burrows, and Keith Davidson. "Risk Assessment of Harmful Algal Blooms in Salmon Farming: Scotland as a Case Study." Toxins 17, no. 1 (2025): 35. https://doi.org/10.3390/toxins17010035.

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This study explored harmful algal bloom (HAB) risk as a function of exposure, hazard and vulnerability, using Scotland as a case study. Exposure was defined as the fish biomass estimated to be lost from a bloom event, based on the total recorded annual production. Hazard was estimated from literature-reported bloom events. Vulnerability was calculated from records of the number of employees (2020), as an estimate of aquaculture-based employment. The dinoflagellate Karenia mikimotoi was identified as the HAB species with the highest frequency of reported bloom events in Scotland, with variable

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Patiño, Reynaldo, Victoria G. Christensen, Jennifer L. Graham, Jane S. Rogosch, and Barry H. Rosen. "Toxic Algae in Inland Waters of the Conterminous United States—A Review and Synthesis." Water 15, no. 15 (2023): 2808. http://dx.doi.org/10.3390/w15152808.

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Cyanobacteria are the most common toxigenic algae in inland waters. Their toxins can affect the health of aquatic and terrestrial organisms, including humans. Other algal groups, such as haptophytes (e.g., Prymnesium parvum) and euglenoids (e.g., Euglena sanguinea), can also form harmful algal blooms (HABs) whose toxins cause injury to aquatic biota but currently have no known effects on human health. Prymnesium parvum, however, is responsible for some of the worst HAB-related ecological disasters recorded in inland waters. Here, we provide an overview of the primary toxigenic algae found in U

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Jochens, Ann E., Thomas C. Malone, Richard P. Stumpf, et al. "Integrated Ocean Observing System in Support of Forecasting Harmful Algal Blooms." Marine Technology Society Journal 44, no. 6 (2010): 99–121. http://dx.doi.org/10.4031/mtsj.44.6.16.

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AbstractHarmful algal bloom (HAB) events threaten human health, living marine resources, and ecosystem health. Their occurrence has increased in frequency, duration, and severity over the last several decades. Preventing, controlling, or mitigating the impacts of HABs requires the development of permanent, operational ocean observing systems that continuously provide the data and information necessary for rapid detection and timely forecasts of changes in ecosystem states. Key elements of such observing systems are observations and modeling that must be efficiently linked via data management a

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Hoke, Alexa K., Guadalupe Reynoso, Morgan R. Smith, et al. "Genomic signatures of Lake Erie bacteria suggest interaction in the Microcystis phycosphere." PLOS ONE 16, no. 9 (2021): e0257017. http://dx.doi.org/10.1371/journal.pone.0257017.

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Microbial interactions in harmful algal bloom (HAB) communities have been examined in marine systems, but are poorly studied in fresh waters. To investigate HAB-microbe interactions, we isolated bacteria with close associations to bloom-forming cyanobacteria, Microcystis spp., during a 2017 bloom in the western basin of Lake Erie. The genomes of five isolates (Exiguobacterium sp. JMULE1, Enterobacter sp. JMULE2, Deinococcus sp. JMULE3, Paenibacillus sp. JMULE4, and Acidovorax sp. JMULE5.) were sequenced on a PacBio Sequel system. These genomes ranged in size from 3.1 Mbp (Exiguobacterium sp. J

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Zhang, Xinfeng, Jian Zhang, Ying Yuan, Wangzuo Shangguan, Ziqian Huang, and Shuo Zhang. "Tentative Prediction of Harmful Algal Blooms in Yangtze Estuary." Journal of Physics: Conference Series 2463, no. 1 (2023): 012053. http://dx.doi.org/10.1088/1742-6596/2463/1/012053.

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Abstract By using spatial autoregressive models, this paper mainly studied the limited factors and spatio-temporal prediction of harmful algal blooms (HAB). The environmental factors of sea surface temperature (SST), dissolved organic matter (DOM) and suspended sediment concentration (SSC) were used to model the chlorophyll a (Cha) distribution and the occurrence of HAB. The results indicated that SST had no significant influence on the growth of phytoplankton in May and June, but higher SST in July and August decreased the frequency of occurrence of HAB. SSC was the main limited factor of HAB

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Masó, Mercedes, Esther Garcés, Francesc Pagès, and Jordi Camp. "Drifting plastic debris as a potential vector for dispersing Harmful Algal Bloom (HAB) species." Scientia Marina 67, no. 1 (2003): 107–11. http://dx.doi.org/10.3989/scimar.2003.67n1107.

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Barokah, Giri Rohmad, Ajeng Kurniasari Putri, and Gunawan Gunawan. "Kelimpahan Fitoplankton Penyebab HAB (Harmful Algal Bloom) di Perairan Teluk Lampung pada Musim Barat dan Timur." Jurnal Pascapanen dan Bioteknologi Kelautan dan Perikanan 11, no. 2 (2017): 115. http://dx.doi.org/10.15578/jpbkp.v11i2.302.

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Telah dilakukan penelitian tentang analisis kelimpahan fitoplankton penyebab HAB (Harmful Algal Bloom) di Perairan Teluk Lampung pada musim barat dan musim timur. Penelitian ini bertujuan untuk mengidentifikasi alga yang berpotensi menyebabkan HAB yang berada di Teluk Lampung dan melihat pola hubungan kelimpahan fitoplankton yang bepotensi menyebabkan HAB dengan nutrien yang terkandung di perairan Teluk Lampung, Kab. Pesawaran, ProvinsiLampung. Pengambilan sampel dilakukan pada musim timur (April) dan musim barat (Oktober) pada tahun 2015. Dari penelitian ini ditemukan bahwa pada musim timur f

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Patin, Nastassia V., Emily Brown, Gabriella Chebli, Claire Garfield, Julia Kubanek, and Frank J. Stewart. "Microbial and chemical dynamics of a toxic dinoflagellate bloom." PeerJ 8 (July 21, 2020): e9493. http://dx.doi.org/10.7717/peerj.9493.

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Harmful Algal Blooms (HABs) exert considerable ecological and economic damage and are becoming increasingly frequent worldwide. However, the biological factors underlying HABs remain uncertain. Relationships between algae and bacteria may contribute to bloom formation, strength, and duration. We investigated the microbial communities and metabolomes associated with a HAB of the toxic dinoflagellate Karenia brevis off the west coast of Florida in June 2018. Microbial communities and intracellular metabolite pools differed based on both bacterial lifestyle and bloom level, suggesting a complex r

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Hushchyna, Kateryna, Bao Quoc Vo, and Tri Nguyen-Quang. "The application of trindex to predict harmful algal bloomsin lake torment (Nova scotia, Canada)." Environmental Problems 5, no. 3 (2020): 156–63. http://dx.doi.org/10.23939/ep2020.03.156.

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This paper introduces the Threshold Index (hereafter called TRINDEX) for the Harmful Algal Bloom (HAB) prediction in lake Torment (Nova Scotia province, Canada). TRINDEX was suggested via the logarithmic transformation and then the thresholds of bloom pattern were established by the discrimination test named the Receiver Operating Characteristic curve (ROC). The cohort studies will be also presented to show how accurate the bloom prediction when using TRINDEX in comparing to the real observations.

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Rolton, Anne, Lesley Rhodes, Kate S. Hutson, et al. "Effects of Harmful Algal Blooms on Fish and Shellfish Species: A Case Study of New Zealand in a Changing Environment." Toxins 14, no. 5 (2022): 341. http://dx.doi.org/10.3390/toxins14050341.

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Harmful algal blooms (HABs) have wide-ranging environmental impacts, including on aquatic species of social and commercial importance. In New Zealand (NZ), strategic growth of the aquaculture industry could be adversely affected by the occurrence of HABs. This review examines HAB species which are known to bloom both globally and in NZ and their effects on commercially important shellfish and fish species. Blooms of Karenia spp. have frequently been associated with mortalities of both fish and shellfish in NZ and the sub-lethal effects of other genera, notably Alexandrium spp., on shellfish (w

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Suhanda, Delilla, Fani Wulan Sari, and Gilang Putra. "Pola Distribusi Harmful Algal Bloom (HAB) Menggunakan Data Satelit Aqua Modis Di Laut Jawa Saat Musim Peralihan." Jurnal Riset Kelautan Tropis (Journal Of Tropical Marine Research) (J-Tropimar) 6, no. 2 (2024): 49–61. https://doi.org/10.30649/jrkt.v6i2.105.

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Penelitian ini bertujuan untuk menganalisis pola distribusi Harmful Algal Bloom (HAB) di perairan Laut Jawa menggunakan data penginderaan jauh dari satelit Aqua MODIS pada musim peralihan I dan II tahun 2015–2016. Metode yang digunakan bersifat deskriptif dengan pendekatan spasial dan temporal untuk mengamati distribusi HAB, dikaitkan dengan parameter curah hujan dan arus laut. Data yang dianalisis meliputi konsentrasi klorofil-a, arus permukaan, dan curah hujan bulanan. Hasil penelitian menunjukkan bahwa keberadaan HAB di Laut Jawa memiliki pola distribusi yang bervariasi, dengan intensitas t

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Lad, Apurva, Joshua D. Breidenbach, Robin C. Su, et al. "As We Drink and Breathe: Adverse Health Effects of Microcystins and Other Harmful Algal Bloom Toxins in the Liver, Gut, Lungs and Beyond." Life 12, no. 3 (2022): 418. http://dx.doi.org/10.3390/life12030418.

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Freshwater harmful algal blooms (HABs) are increasing in number and severity worldwide. These HABs are chiefly composed of one or more species of cyanobacteria, also known as blue-green algae, such as Microcystis and Anabaena. Numerous HAB cyanobacterial species produce toxins (e.g., microcystin and anatoxin—collectively referred to as HAB toxins) that disrupt ecosystems, impact water and air quality, and deter recreation because they are harmful to both human and animal health. Exposure to these toxins can occur through ingestion, inhalation, or skin contact. Acute health effects of HAB toxin

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Xu, Qing, Chunzhi Wang, Kuidong Xu, and Nansheng Chen. "Metabarcoding Analysis of Harmful Algal Bloom Species in the Western Pacific Seamount Regions." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11470. http://dx.doi.org/10.3390/ijerph182111470.

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The Western Pacific is the most oligotrophic sea on Earth, with numerous seamounts. However, the plankton diversity and biogeography of the Western Pacific in general and the seamount regions in particular remains largely unexplored. In this project, we quantitatively analyzed the composition and distribution patterns of plankton species in the Western Pacific seamount regions by applying metabarcoding analysis. We identified 4601 amplicon sequence variants (ASVs) representing 34 classes in seven protist phyla/divisions in the Western Pacific seamount regions, among which Dinoflagellata was by

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Bosse, Karl R., Gary L. Fahnenstiel, Cal D. Buelo, et al. "Are Harmful Algal Blooms Increasing in the Great Lakes?" Water 16, no. 14 (2024): 1944. http://dx.doi.org/10.3390/w16141944.

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This study used satellite remote sensing to investigate trends in harmful algal blooms (HABs) over the last 21 years, focusing on four regions within the Laurentian Great Lakes: western Lake Erie, Green Bay, Saginaw Bay, and western Lake Superior. HABs in the water column were identified from remote sensing-derived chlorophyll concentrations, and surface HAB scums were classified based on the Normalized Difference Vegetation Index (NDVI) band ratio index. Using imagery from the Moderate Resolution Imaging Spectroradiometer sensor on the Aqua satellite (MODIS-Aqua) from 2002 to 2022, we generat

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Clites, Erica, Heather Triezenberg, and Diane Doberneck. "Aligning Audience Needs with Scientists’ Information in the Complex Harmful Algal Bloom Outreach to Engagement Continuum." Journal of Contemporary Water Research & Education 181, no. 1 (2024): 1–10. http://dx.doi.org/10.1111/j.1936-704x.2024.3408.x.

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AbstractAlgae, an important foundation of aquatic ecosystems, can become a nuisance or harmful when it grows in excess. Many government agencies have a role in monitoring, responding to, and confirming a harmful algal bloom (HAB). HAB scientists have important information to share, however, given the complexities of HABs, which often involve decoupled drivers from observed impacts, presents challenges to outreach and engagement. Understanding key audience information needs can help scientists prioritize key science communication and engagement opportunities to maximize the impact of such effor

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Ibrahim, Nur Hanisah, Anwar Iqbal, Normawaty Mohammad-Noor, et al. "A Review on The Biological, Physical and Chemical Mitigation of Harmful Algal Bloom." Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology 17, no. 2 (2022): 95–110. http://dx.doi.org/10.15578/squalen.633.

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The harmful algal bloom (HABs) refers to the rapid growth of toxic or high-biomass-producing microalgae. The impact of this phenomenon can cause significant economic loss affecting many industries and causing harm to wildlife and human health. As technology develops, greater research has been conducted to monitor and reduce HABs occurrence’s impact, including mitigating agents. This review presents the advantages and disadvantages of currently used and recently developed biological, chemical, and physical approaches to tackle issues related to HABs. The present review also emphasizes the inter

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Yussof, Fatin Nadiah, Normah Maan, and Mohd Nadzri Md Reba. "LSTM Networks to Improve the Prediction of Harmful Algal Blooms in the West Coast of Sabah." International Journal of Environmental Research and Public Health 18, no. 14 (2021): 7650. http://dx.doi.org/10.3390/ijerph18147650.

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Harmful algal bloom (HAB) events have alarmed authorities of human health that have caused severe illness and fatalities, death of marine organisms, and massive fish killings. This work aimed to perform the long short-term memory (LSTM) method and convolution neural network (CNN) method to predict the HAB events in the West Coast of Sabah. The results showed that this method could be used to predict satellite time series data in which previous studies only used vector data. This paper also could identify and predict whether there is HAB occurrence in the region. A chlorophyll a concentration (

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Gao, Yida, and Deana L. Erdner. "Insights into Stress-Induced Death Processes during Aging in the Marine Bloom-Forming Dinoflagellate Karenia brevis." Journal of Marine Science and Engineering 10, no. 12 (2022): 1993. http://dx.doi.org/10.3390/jmse10121993.

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Harmful algal blooms (HABs) globally affect marine ecosystems and human health. Significant attention has been paid to understanding the initiation processes of HABs, while much less is known of the mechanisms causing cell demise and bloom decline. Recent evidence reveals that programmed cell death (PCD) can be a possible pathway for HAB termination. However, it is still not clear how PCD expression varies with the growth of marine phytoplankton. In order to characterize how susceptibility to stress-induced cell death changes with the growth of marine harmful algae, we examined the prevalence

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Lasley-Rasher, Rachel S., Kathryn Nagel, Aakanksha Angra, and Jeannette Yen. "Intoxicated copepods: ingesting toxic phytoplankton leads to risky behaviour." Proceedings of the Royal Society B: Biological Sciences 283, no. 1829 (2016): 20160176. http://dx.doi.org/10.1098/rspb.2016.0176.

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Understanding interactions between harmful algal bloom (HAB) species and their grazers is essential for determining mechanisms of bloom proliferation and termination. We exposed the common calanoid copepod, Temora longicornis to the HAB species Alexandrium fundyense and examined effects on copepod survival, ingestion, egg production and swimming behaviour. A. fundyense was readily ingested by T. longicornis and significantly altered copepod swimming behaviour without affecting copepod survival or fitness. A. fundyense caused T. longicornis to increase their swimming speed, and the straightness

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Yao, Yuan, and Takashi Noda. "Immediate Impact of the 2021 Harmful Algal Bloom in Southeast Hokkaido on the Rocky Intertidal Benthic Community and Its Spatial Variation." Journal of Marine Science and Engineering 12, no. 6 (2024): 928. http://dx.doi.org/10.3390/jmse12060928.

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There has been a limited number of studies on the effects of harmful algal blooms (HABs) on natural rocky intertidal ecosystems. From mid-September to early November 2021, an unprecedented HAB caused by Karenia selliformis hit the Pacific coast of southeast Hokkaido, Japan, for the first time, causing massive mortalities among marine organisms. To clarify the immediate impacts of the HAB on the abundance of 10 rocky intertidal species in four functional groups (macroalgae, sessile invertebrates, molluscan grazers, and molluscan carnivores), we focused on two questions: (1) How did the HAB affe

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Huang, Dong-Wei, Hong-Li Wang, Jian-Feng Feng, and Zhi-Wen Zhu. "Modelling algal densities in harmful algal blooms (HAB) with stochastic dynamics." Applied Mathematical Modelling 32, no. 7 (2008): 1318–26. http://dx.doi.org/10.1016/j.apm.2007.04.006.

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Nguyen-Quang, Tri, Louis Labat, and Qurat Ul An Sabir. "A Deterministic Model for Harmful Algal Bloom (HAB) Patterns Under Turing’s Instability Perspective." Knowledge 5, no. 1 (2025): 1. https://doi.org/10.3390/knowledge5010001.

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Turing’s instability has been widely introduced to explain the formation of several biological and ecological patterns, such as the skin patterning of fish or animals, wings of butterflies, pigmentation, and labyrinth patterns of the cerebral cortex of mammals. Such a mechanism may occur in the ecosystem due to the differential diffusion dispersal that happen if one of the constituent species results in the activator or the prey, showing a tendency to undergo autocatalytic growth. The diffusion of the constituent species activator is a random mobility function called passive diffusion. If the

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Mermer, Omer, and Ibrahim Demir. "Multivariate Regression Analysis for Identifying Key Drivers of Harmful Algal Bloom in Lake Erie." Applied Sciences 15, no. 9 (2025): 4824. https://doi.org/10.3390/app15094824.

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Harmful Algal Blooms (HABs), predominantly driven by cyanobacteria, pose significant risks to water quality, public health, and aquatic ecosystems. Lake Erie, particularly its western basin, has been severely impacted by HABs, largely due to nutrient pollution and climatic changes. This study aims to identify key physical, chemical, and biological drivers influencing HABs using a multivariate regression analysis. Water quality data, collected from multiple monitoring stations in Lake Erie from 2013 to 2020, were analyzed to develop predictive models for chlorophyll-a (Chl-a) and total suspende

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Tse, Sirius Pui-Kam, Ka-Fu Yung, Pak-Yeung Lo, et al. "Rapidly Deployable Algae Cleaning System for Applications in Freshwater Reservoirs and Water Bodies." Phycology 2, no. 1 (2022): 60–75. http://dx.doi.org/10.3390/phycology2010004.

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Occurrence of large-scale harmful algal blooms (HABs) in our reservoirs and water bodies threaten both quality of our drinking water and economy of aquaculture immensely. Hence, rapid removal of HAB biomass during and after a bloom is crucial in protecting the quality of our drinking water and preserve our water resources. We reported here a rapidly deployable algae cleaning system based on a high-capacity high-throughput (HCHT) spiral blade continuous centrifuge connected with inlet and effluent water tanks and a series of feed-in and feed-out pumps as well as piping, all fitted into a standa

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