Bayesian model averaging for harmful algal bloom prediction

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Bayesian model averaging for harmful algal bloom prediction.

Harmful algal blooms (HABs) are a worldwide problem that have been increasing in frequency and extent over the past several decades. HABs severely damage aquatic ecosystems by destroying benthic habitat, reducing invertebrate and fish populations, and affecting larger species such as dugong that rely on seagrasses for food. Few statistical models for predicting HAB occurrences have been develop...

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Bayesian Model Averaging for Harmful Algal

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SeaWiFS discrimination of harmful algal bloom evolution

The discrimination of harmful algal blooms (HABs) from space would benefit both the capability of early warning systems and the study of environmental factors affecting the initiation of blooms. Unfortunately, there are no published techniques using global monitoring satellite sensors to distinguish the resulting subtle changes in ocean colour, so in situ sampling is needed to identify the spec...

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Selective Algicidal Action of Peptides against Harmful Algal Bloom Species

Recently, harmful algal bloom (HAB), also termed "red tide", has been recognized as a serious problem in marine environments according to climate changes worldwide. Many novel materials or methods to prevent HAB have not yet been employed except for clay dispersion, in which can the resulting sedimentation on the seafloor can also cause alteration in marine ecology or secondary environmental po...

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Prediction of Algal Bloom Using Genetic Programming

In this study an attempt is made to mathematically model and predict algal blooms in Tolo Harbour (Hong Kong) using Genetic Programming (GP). Chlorophyll plays a vital role and is taken as a measure of algal bloom biomass and 8 other variables are taken as input for its prediction. It is observed that GP evolves multiple models with almost same values of errors – of – measure. Previous studies ...

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ژورنال

عنوان ژورنال: Ecological Applications

سال: 2009

ISSN: 1051-0761

DOI: 10.1890/08-1843.1