2009
DOI: 10.1007/978-3-642-02490-0_111
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Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons

Abstract: Abstract. Environmental changes in oceanic conditions have the potential to cause jellyfish populations to rapidly expand leading to ecosystem level repercussions. To predict potential changes it is necessary to understand how such populations are influenced by oceanographic conditions. Data recording the presence or absence of jellyfish of the genus Physalia at beaches in the West Auckland region of New Zealand were modelled using Multi-Layer Perceptrons (MLP) with time lagged oceanographic data as input data… Show more

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Cited by 4 publications
(2 citation statements)
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References 19 publications
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“…The time lags account for the period between when physical processes are enacted and when their consequences (jellyfish on beach) are observed. The use of time lags in wind data has previously been shown (Pontin et al, 2009) to be important in predicting jellyfish distribution in Physalia (which have ''sails''). Our study shows that the use of time lags in tide range may be a useful predictor of rhizostome jellyfish distribution, at least, in areas where large tide ranges exist, such as in the north-west of Australia (Short, 2011).…”
Section: Distribution and Occurrence Of Swarmsmentioning
confidence: 99%
See 1 more Smart Citation
“…The time lags account for the period between when physical processes are enacted and when their consequences (jellyfish on beach) are observed. The use of time lags in wind data has previously been shown (Pontin et al, 2009) to be important in predicting jellyfish distribution in Physalia (which have ''sails''). Our study shows that the use of time lags in tide range may be a useful predictor of rhizostome jellyfish distribution, at least, in areas where large tide ranges exist, such as in the north-west of Australia (Short, 2011).…”
Section: Distribution and Occurrence Of Swarmsmentioning
confidence: 99%
“…The different manifestations of high densities of jellyfish and how they are formed have been reviewed previously (Graham et al, 2001;Hamner & Dawson, 2009). However, there has been recent interest in using and understanding oceanographic processes to develop predictive capacity to forecast when jellyfish might swarm near the shore bring them into contact with swimmers (Pontin et al, 2009;Gershwin et al, 2014). The extent to which jellyfish biology and behaviour can affect swarming and beach stranding (Fossette et al, 2015) has also gained recent attention.…”
Section: Introductionmentioning
confidence: 99%