CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Improving the accuracy and utility of harmful algal bloom forecasting systems
Authors
Donald M. Anderson
Bruce A. Keafer
+3 more
Judith L. Kleindinst
Dennis J. McGillicuddy
Andrew R. Solow
Publication date
1 May 2006
Publisher
Abstract
Author Posting. © The Author(s), 2006. This is the author's version of the work. It is posted here by permission of Geological Society for the Micropalaeontological Society for personal use, not for redistribution. The definitive version was published in Biological and Geological Perspectives of Dinoflagellates, edited by Jane Lewis, F. Marret, L.Bradley, :141-147. London: Geological Society for the Micropalaeontological Society, 2013. ISBN: 9781862393684.One of the goals of harmful algal bloom (HAB) research has been to develop predictive capabilities for blooms. Major steps have been made towards this goal, including the development of physical-biological models of HAB species that simulate bloom dynamics in specific regions. In the Gulf of Maine region of the northeastern U.S., models have been developed that have considerable skill in simulating blooms of Alexandrium fundyense, the causative organism for paralytic shellfish poisoning (PSP) outbreaks in the region. This model is now being used for both short-term and long-term forecasts. This paper describes several ongoing activities that will improve the accuracy and usefulness of the model and forecasts. These include efforts to streamline or minimize the sampling and analysis requirements of annual A. fundyense cyst surveys, efforts to quantitatively describe or characterize the severity of predicted outbreaks, and plans to obtain real-time data on Alexandrium cell abundance and toxicity that can be assimilated into the models. Together, these and other activities are moving us towards an operational forecasting system for Alexandrium blooms in the region.Woods Hole Center for Oceans and Human Health, National Science Foundation (NSF) Grants OCE-0430724, and OCE-0911031; and National Institute of Environmental Health Sciences (NIEHS) Grant 1-P50-ES012742-01, the ECOHAB Grant program through NOAA Grants NA06NOS4780245 and NA09NOS4780193, and the MERHAB Grant program through NOAA Grant NA11NOS4780025
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Woods Hole Open Access Server
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:darchive.mblwhoilibrary.or...
Last time updated on 07/08/2019