4.6 Article

Quantifying Spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Marine & Freshwater Biology

Three decades of data on phytoplankton and phycotoxins on the French coast: Lessons from REPHY and REPHYTOX

Catherine Belin et al.

Summary: In France, the REPHY and REPHYTOX networks have been monitoring phytoplankton and phycotoxins in coastal waters for over 30 years. The analysis of phytoplankton flora along French coasts has identified key taxa and shown distinct geographical distributions. Various toxins have been affecting shellfish along the French coast since the 1980s, with different categories of toxins appearing at different times in different areas.

HARMFUL ALGAE (2021)

Review Engineering, Marine

A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination

Rafaela C. Cruz et al.

Summary: Harmful algal blooms are a severe ecological marine problem globally, with efforts being made to develop statistical and machine learning forecasting tools, focusing on increased model complexity for predicting HABs, with artificial neural networks leading the way.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)

Article Environmental Sciences

Temporal and Spatial Patterns of Harmful Algae Affecting Scottish Shellfish Aquaculture

Fatima Gianella et al.

Summary: The study reveals temporal and spatial variations in Harmful Algal Bloom (HAB) events in Scotland, with high-risk areas mainly facing southwest. Regional analysis is crucial for HAB early warning systems.

FRONTIERS IN MARINE SCIENCE (2021)

Review Environmental Sciences

Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry

Jose A. Fernandes-Salvador et al.

Summary: The shellfish aquaculture industry in the European Atlantic Arc is impacted by harmful algal blooms that produce biotoxins accumulating in shellfish flesh, affecting consumer health. Regulatory monitoring focuses on harmful cells and toxin concentrations, but there is a need for early warning systems for business planning. Web portals and operational Early Warning Systems (EWS) are being developed, incorporating environmental data parameters and varied forecasting approaches to mitigate HAB-generated harmful effects. Advanced EWS include satellite data and oceanographic modeling to predict HAB behavior, with traffic light indices for easy risk assessment and expert interpretation of multiple data streams for future risk assessment. Proof-of-concept EWS combine model information with in-situ data, sometimes using machine learning-based approaches.

FRONTIERS IN MARINE SCIENCE (2021)

Article Environmental Sciences

Perceived global increase in algal blooms is attributable to intensified monitoring and emerging bloom impacts

Gustaaf M. Hallegraeff et al.

Summary: According to an analysis of global harmful algal bloom events, it was found that there is no uniform increase in the global occurrence of these events over time. The recorded increase in events is primarily due to enhanced coastal monitoring and aquaculture practices.

COMMUNICATIONS EARTH & ENVIRONMENT (2021)

Article Marine & Freshwater Biology

Future HAB science: Directions and challenges in a changing climate

Mark L. Wells et al.

HARMFUL ALGAE (2020)

Review Fisheries

A global review of the ecosystem services provided by bivalve aquaculture

Andrew van der Schatte Olivier et al.

REVIEWS IN AQUACULTURE (2020)

Article Marine & Freshwater Biology

Harmful algae niche responses to environmental and community variation along the French coast

Stephane Karasiewicz et al.

HARMFUL ALGAE (2020)

Article Multidisciplinary Sciences

The future of food from the sea

Christopher Costello et al.

NATURE (2020)

Article Oceanography

The Coastal Ocean Circulation Influence on the 2018 West Florida Shelf K.brevis Red Tide Bloom

Robert H. Weisberg et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2019)

Article Geosciences, Multidisciplinary

Disentangling Dynamic Contributions to Summer 2018 Anomalous Weather Over Europe

Marie Drouard et al.

GEOPHYSICAL RESEARCH LETTERS (2019)

Article Environmental Sciences

In situ Autonomous Acquisition and Preservation of Marine Environmental DNA Using an Autonomous Underwater Vehicle

Kevan M. Yamahara et al.

FRONTIERS IN MARINE SCIENCE (2019)

Review Environmental Sciences

Scaling Up From Regional Case Studies to a Global Harmful Algal Bloom Observing System

Clarissa R. Anderson et al.

FRONTIERS IN MARINE SCIENCE (2019)

Review Food Science & Technology

Accumulation of Dinophysis Toxins in Bivalve Molluscs

Juan Blanco

TOXINS (2018)

Article Oceanography

Satellites to Seafloor TOWARD FULLY AUTONOMOUS OCEAN SAMPLING

Andrew F. Thompson et al.

OCEANOGRAPHY (2017)

Article Multidisciplinary Sciences

Ocean warming since 1982 has expanded the niche of toxic algal blooms in the North Atlantic and North Pacific oceans

Christopher J. Gobler et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)

Review Biochemical Research Methods

Biosensors for the monitoring of harmful algal blooms

Daniel A. McPartlin et al.

CURRENT OPINION IN BIOTECHNOLOGY (2017)

Editorial Material Marine & Freshwater Biology

Forecasting the risk of harmful algal blooms Preface

Keith Davidson et al.

HARMFUL ALGAE (2016)

Article Marine & Freshwater Biology

Harmful algal blooms and climate change: Learning from the past and present to forecast the future

Mark L. Wells et al.

HARMFUL ALGAE (2015)

Review Chemistry, Medicinal

Dinophysis Toxins: Causative Organisms, Distribution and Fate in Shellfish

Beatriz Reguera et al.

MARINE DRUGS (2014)

Article Environmental Sciences

Continuous automated imaging-in-flow cytometry for detection and early warning of Karenia brevis blooms in the Gulf of Mexico

Lisa Campbell et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2013)

Review Geochemistry & Geophysics

Progress in Understanding Harmful Algal Blooms: Paradigm Shifts and New Technologies for Research, Monitoring, and Management

Donald M. Anderson et al.

ANNUAL REVIEW OF MARINE SCIENCE, VOL 4 (2012)

Article Statistics & Probability

Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models

Simon N. Wood

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)

Article Ecology

Neural network modelling of coastal algal blooms

JHW Lee et al.

ECOLOGICAL MODELLING (2003)

Article Statistics & Probability

Geoadditive models

EE Kammann et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2003)