Introduction
There is growing evidence that coastal ecosystems are
experiencing an escalating and disturbing trend in the
incidence of problems associated with harmful algae, including
human illness from contaminated shellfish or fish, the closure
of shellfish beds, death of marine mammals and seabirds, and
alteration of marine habitats (see http://ioc.unesco.org/hab).
As a result, government ministries and industries, such
as coastal mariculture operations, are recognizing the need
for more timely detection of HAB events and for the
development of a predictive understanding of when and where
such events are most likely to occur.
Timely access to such information is required to (1)
protect public health; (2) control and mitigate ecological and
economic impacts; and (3) disseminate relevant, accurate and
useful information in a timely fashion to coastal communities
and industried that are impacted or likely to be impacted by
such events.
For the purposes of this scenario, a harmful algal
event may be one or more of the following: (1) a bloom of a
microalgal species that is known to produce toxins harmful to
marine life or to humans;
(2) the occurrence of lesions or mass mortalities of
marine organisms caused by a microalgal species; or (3) human
health pathologies caused by microalgae (Table 1).
The phenomena that cause these events are referred to
as harmful algal blooms (HABs) recognizing (1) that HAB
species represent a broad spectrum of taxa (e.g.,
dinoflagellates, diatoms, cyanobacteria) and trophic levels
(e.g., autotrophic, heterotrophic, mixotrophic) and (2) that
many HAB species cause problems at low cell densities, i.e., a
bloom is not necessary for a HAB event to occur.
Table
1. Examples of toxic microalgae and pthological effects
on people and marine organisms.
| Effect |
Class |
Species |
|
Human
Health
|
|
|
|
Paralytic
shellfish poisoning
|
Dinoflagellates
|
Alexandrium
spp., Pyrodinium bahamense, Gymnodinium
catenatum
|
|
|
Cyanobacteria |
Anabaena
circinalis |
|
Diarrhetic shellfish poisoning |
Dinoflagellates |
Dinophysis
spp., Prorocentrum spp. |
|
Neurotoxic shellfish poisoning |
Dinoflagellates |
Karenia
brevis
(aka Gymnodinium breve) |
|
Amnesic
shellfish poisoning |
Diatoms |
Pseudo-nitzschia
spp., Nitzschia navis-varingica |
|
Ciguatera
fish poisoning |
Dinoflagellate |
Gambierdiscus
toxicus |
|
Respiratory
problems, skin irritation, neurological effects |
Dinoflagellates
Cyanobacteria |
Karenia
brevis, Pfiesteria piscicida, Nodularia spumigena |
|
Hepatotoxicity |
Cyanobacteria |
Microcystis
aeruginosa,
Nodularia spumigena |
| Fish
Health |
|
|
|
Haemolytic,
hepatotoxic, osmoregulatory effects |
Dinoflagellates |
Gymnodinium
spp., Cochlodinium polykrikoides, Pfiesteria
piscicida, Gonyaulax spp., |
|
|
Raphidophytes |
Heterosigma
akashiwo,
Chattonella spp., Fibrocapsa
japonica
|
|
|
Prymnesiophytes |
Chrysochromulina
spp., Phaeocystis pouchetii, Prymnesium
spp.
|
|
|
Cyanobacteria |
Microcystis
aeruginosa, Nodularia spp. |
|
Inhibits
feeding, mechanical damage |
Pelagophytes
Diatoms
|
Aureococcus
anophagefferens,
Chaetoceros |
|
Gill
clogging & necrosis |
Prymnesiophytes |
Phaeocystis
spp. |
The global distribution of harmful algal
events in 1999 compared to the 1970's.

In response to the need to develop the capacity for
rapid detection and timely prediction of HAB events, a
workshop was held in Pensacola Beach, Florida, USA from 27
November to 1 December, 2000 under the auspices of the U.S.
GOOS programme and the National Association of Marine
Laboratories. The
purpose of the workshop was to bring data providers
(scientists) together with data users (government agencies) to
develop plans for the design and implementation of a regional
observing system (HABSOS) that will provide the data and
information needed for rapid detection and useful predictions
of harmful algal blooms and their effects on marine resources
and coastal communities in the Gulf of Mexico.
The full report from this workshop may be found at the
following URL:
http://www.hpl.umces.edu/projects/HABSOS.pdf
Users
The primary issues of concern are (1) protecting public
health and water quality (paralytic shellfish poisoning,
diarrhetic shellfish poisoning, amnesic shellfish poisoning,
neurotoxic shellfish poisoning, and respiratory irritation and
skin lesions in swimmers and beach goers), (2) effects on
aquaculture production (e.g., shellfish bed closures, mass
mortalities, contamination), (3) economic impacts (minimize or
prevent declines in revenues from fisheries, aquaculture,
tourism; decreases in property value), and (4) the
dissemination of useful information to the public.
Thus, the primary users of the initial observing system
will be government agencies responsible for living marine
resources, water quality and public health; fish farmers
(mariculture); the tourist industry; and the residents of
coastal communities. Additional
users include local businesses, teachers and the news media.
User
Requirements
The primary user requirements are (1) protecting public
health, (2) protecting living marine resources (controlling
and mitigating the economic effects of harmful algae on wild
fisheries, aquaculture, tourism, property values), (3)
dissemination of useful information to the public. Managers need information, not data. The following data-products are high priorities
(1)
early alerts (location, magnitude, species) that an event is
in progress;
(2)
timely forecasts of the trajectory of the event in time and
space (with probability zones); and
(3)
predictions of where and when an event is likely to occur
(advance notice of the probability an event will occur).
The
HABSOS Pilot Project
There are approximately 5000 species of microalgae in
the world. Of
these, about 100 are toxic and, of these, Krenia brevis
(formerly called Gymnodinium breve) is by far the most
prevalent in the Gulf of Mexico.
K. brevis causes neurotoxic shellfish poisoning
and blooms (“red tides”) increase public health risks from
exposure to toxins in aerosols and sea food, cause shellfish
bed closures, and impact coastal tourism.
Because it is relatively easy to detect, blooms
frequently, and has a regional impact,
K. brevis was selected as the target organism
for a pilot observing system
The immediate priority is to establish a data
communications and management system that will provide more
timely access to data (from in situ measurements,
autonomous in situ sensing and remote sensing) and
information (as close to real-time as possible) on K.
brevis blooms events and associated environmental
conditions. This
will not only reduce the lag time between the occurrence of an
event and its detection, it will be invaluable in guiding the
development of research programs such as GEOHAB that will
provide the technologies and scientific information required
for more rapid detection and prediction of HAB events (see http://ioc.unesco.org/hab).
Once the initial data communications and management
infrastructure has been established for the Gulf, improving
the sensor and measurement end of the system will become a
priority. The
initial observing subsystem will have a nested design with
higher resolution measurements organized around “hot
spots” or epicenters of HAB events set in the context of a
coarser framework of regional measurements that are made
regularly and routinely throughout the northern Gulf.
The minimum set of common measurements that should be
incorporated into the regional framework of HABSOS are as
follows:
(1)
Real-time wind fields (updated 3-4 times/day ) and freshwater
fluxes (rainfall, rivers, ground water) and related inputs of
sediments and nutrients (daily rates updated weekly); and
(2)
Surface currents and waves, sea surface temperature and
chlorophyll distributions updated daily; vertical profiles
(with measurement at surface, pycnocline, near bottom as a
minimum) of temperature, salinity, dissolved oxygen, inorganic
nutrients (N, P, Si), chlorophyll, colored dissolved organic
matter, and cell densities of K. brevis updated at
weekly (small number of stations) to monthly intervals (more
stations).
Detection of time-dependent changes in 3 dimensions
will rely on a mix of platforms and methods including (1)
discrete in situ sampling followed by laboratory
measurements (results available within 48 hours of sampling);
(2) autonomous in situ sensing with real-time data
telemetry; and (3) remote sensing with real-time or near-time
data telemetry. In
situ measurements (1 and 2) will be made from docks, small
boats, ships, fixed platforms, moorings, drifters, gliders,
remotely operated vehicles and autonomous under water
vehicles. Remote
sensing will be made from space (e.g., SeaWiFS), from aircraft
(e.g., hyperspectral imagery), or from land (e.g., high
frequency radar). Coastal
observatories for in situ and remote sensing will
become important components of the observing system as the
technologies for these platforms and associated sensors
develop.
Although undersampling remains a problem, data on sea
surface winds, sea surface temperature, and surface currents
and waves and nowcasts of forecasts of weather and marine
conditions (surface waves and currents, sea level) are
available in near real time now via the world wide web (
Existing
observing systems will be enhanced and supplemented to improve
temporal and spatial resolution; to make physical, chemical
and biological measurements synoptically in time and space;
and to achieve real time or near-real time data transmission.
For sample-based measurements such as K. brevis
cell counts, the initial goal is a 48 hr turn around time.
Additional infrastructure will initially include remote
sensing to obtain synoptic spatial images of sea surface
chlorophyll concentration (SeaWiFS); in situ sensing of
temperature, salinity and chlorophyll (in vivo
fluorescence); and in situ measurements of temperature,
salinity, dissolved oxygen, inorganic nutrients (N, P, Si),
chlorophyll, colored dissolved organic matter, and G. breve
cell density. In
addition to the measurement program, a high priority will be
placed on developing methods to integrate data from remote and
in situ sensing and measurements to obtain
4-dimensional visualizations of HAB events and associated
environmental variability in a more timely fashion.
Irish
Coastal Waters
As reported on by representatives from the Irish Marine
Institute (IMI) at the HABSOS workshop, a similar effort is
underway in Ireland where interest in harmful algae events
(HAEs) in Irish coastal waters has dramatically increased in
recent years. The
IMI’s Biotoxin Unit is currently in the process of
restructuring its phytoplankton monitoring capability to help
predict, manage and minimize the impacts of marine biotoxins
and potentially harmful algal species on public health and the
aquaculture industry. This
programme and HABSOS will benefit from the ongoing exchange of
information that was initiated at the workshop.
Biotoxins, which have the potential to cause
diarrhetic, paralytic, amnesic and azaspiracid shellfish
poisoning (DSP, PSP, ASP and AZP, respectively), have been
detected in shellfish in Ireland.
The toxic phytoplankton species of concern in Irish
waters are Dinophysis spp. (DSP), Alexandrium
spp. (PSP), and Pseudo-nitzschia spp. (ASP).
The marine source of AZP has yet to be confirmed.
Estimated losses due to biotoxin closures have cost the
Irish shellfish industry $4 million in 2000.
In addition, harmful algal events have been linked to
the mortality of commercial shellfish stocks and indigenous
benthic invertebrates. The
most recent example of this type of impact occurred in Bantry
Bay (southwest Ireland) during summer 2000 when an abalone
shellfishery was decimated following the appearance of a large
bloom of the dinoflagellate Gyrodinium aureolum in the
region.
The immediate objectives of the IMI programme are to
(1) advise the aquaculture industry on early detection and
mapping of harmful algal species; (2) develop and update the
data base on HAEs in Irish waters; (3) develop physical
circulation models and simulation of historic HAEs using
passive particle tracking models; and (4) evaluate the use of
SeaWiFS, AVHRR and SAR remotes sensing data in the detection
and mapping of HAEs and physical features relevant to those
events (i.e., fronts, upwelling zones).
A high priority is early detection and mapping of HAEs
and the rapid communication of this information to the
aquaculture industry, the Food Safety Authority and public
health officials. Toward
this aim, the Marine Institute’s new monitoring programme
will use microscopic techniques to detect the presence of
potentially harmful algal species in aquaculture production
areas. Between
60-80 samples will be analyzed on a weekly year-roung basis
(approx. 3,000 pa). Results,
which will include information on abundance of potentially
harmful algal species, dominant phytoplankton species and a
generic comment on species trends, will be made available by
telephone, fax, e-mail and the world wide web within 48 hours
of collection. To
investigate the relationship between phytoplankton species and
environmental factors, the following parameters are to be
recorded by remote sensors at a subset of sampling sites:
temperature, salinity, nutrients (nitrate, ammonium,
phosphate, and silicate), and wind velocity.
Access to accurate, pertinent and quality assured data
and information regarding HAEs in Irish waters is essential in
assessing cause, and in developing management and mitigation
procedures to deal with these events. The database will provide support for research programmes
investigating the interactions between HAE occurrence and
environmental factors and form the basis for future modeling
efforts. The database will contain the following data sets relevant to
HAEs:
•
The IMI’s data set of potentially harmful algal species
dating back to 1985 (in electronic format 1990 to present).
This data set will be significantly augmented by data
generated by the new National Phytoplankton Monitoring Network;
•
Associated environmental data on temperature, salinity,
currents, nutrients,
chlorophyll, species composition, light attenuation coefficients
and remote sensing data;
•
ICES hydrochemistry and phytoplankton/harmful algal
species data sets from the near-field study area.
The ICES/IOC Harmful Algal Event Database (HAEDAT) and
maps of decadal occurrences in the North Atlantic;
•
Meteorological data sets (wind speed and direction, daily
irradiance, air temperature) from regional meteorological
stations, weather buoys and model outputs (ECMWF);
•
Existing climatology data sets describing the Irish
near-field study area.
One
of the long-term end goals is the development of biophysical
models for harmful algal events in Irish coastal waters.
The main priority at the moment is the construction of a
3-dimensional coastal circulation model, which will be an
essential component for the future development of biophysical
models. A
diagnostic circulation model is currently being developed based
on the observed distribution of temperature and salinity for the
region. Once the
3-d circulation model has been developed, the main priority is
to simulate past HAEs in Irish coastal waters using simple
single species passive-particle tracking models.
This approach will be refined by the inclusion of growth
and mortality rates of the population.
The output from these models will help elucidate the role
of physical mechanisms in the transportation and distribution of
harmful algal species in Irish coastal waters.
In summary, the immediate priority is to develop the
physical model and, over time, to add the biological data from
the MI monitoring programme.
The long term goal of the IMI’s monitoring and
management programme is to develop forecasting capabilities for
the occurrence and projected impacts of HAEs.
The priorities are to develop biophysical models of HAEs
and establish an offshore data buoy network.
To provide an effective forecasting capability, it will
be necessary to improve our modeling capacity from simple single
species models to more complex coupled physical-biological
models. Development
of such models will require a better understanding an knowledge
of (i) linkages between the Irish Coastal Current (ICC) and
harmful algal events; (ii) underlying physical mechanisms
controlling the flow of the ICC along the west coast of Ireland,
i.e., what is the relative role of bottom density fronts and
wind-driven advection in forcing the ICC?; (iii) geographical
source of each species of concern; and (iv) In situ
growth rates, grazing rates, growth-irradiance relationships and
nutrient uptake kinetics of each species of concern.
The IMI, in collaboration with the Department of Marine
and Natural Resources and the UK Met Office, is in the process
of deploying 5 marine weather data buoys at strategic points
around the Irish coast (2000 - 2002).
Three of these buoys will be capable of collecting
oceanographic data such as temperature, salinity and currents.
This network will be complemented by the deployment of
additional offshore data buoys in HAE hot spots.
These additional buoys will collect parameters pertinent
to detecting HAEs, such as temperature, salinity, fluorescence,
light transmission and currents.
The application of digital camera and video technologies
and remote in situ gene probe devices will also be
examined.
|