2018
DOI: 10.7717/peerj.5066
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How many fish? Comparison of two underwater visual sampling methods for monitoring fish communities

Abstract: BackgroundUnderwater visual surveys (UVSs) for monitoring fish communities are preferred over fishing surveys in certain habitats, such as rocky or coral reefs and seagrass beds and are the standard monitoring tool in many cases, especially in protected areas. However, despite their wide application there are potential biases, mainly due to imperfect detectability and the behavioral responses of fish to the observers.MethodsThe performance of two methods of UVSs were compared to test whether they give similar … Show more

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Cited by 18 publications
(22 citation statements)
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“…The former will be created by combining existing datasets, e.g. by retrieving data from the European Alien Species Information Network -EASIN - , and from the Ellenic Network on Aquatic Invasive Species -ELNAIS - , and new data collected by extensive underwater surveys organized in the framework of ALAS, following the methodology and field protocols described in Issaris et al (2012), Thanopoulou et al (2018). GIS layers of environmental variables will be based on the Marine Environment Monitoring Services of Copernicus, and on the outputs of previous research projects such as MARISCA.…”
Section: Scientific Methodologymentioning
confidence: 99%
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“…The former will be created by combining existing datasets, e.g. by retrieving data from the European Alien Species Information Network -EASIN - , and from the Ellenic Network on Aquatic Invasive Species -ELNAIS - , and new data collected by extensive underwater surveys organized in the framework of ALAS, following the methodology and field protocols described in Issaris et al (2012), Thanopoulou et al (2018). GIS layers of environmental variables will be based on the Marine Environment Monitoring Services of Copernicus, and on the outputs of previous research projects such as MARISCA.…”
Section: Scientific Methodologymentioning
confidence: 99%
“…GIS layers of environmental variables will be based on the Marine Environment Monitoring Services of Copernicus, and on the outputs of previous research projects such as MARISCA. Species distribution modelling will be based on a Machine Learning Ensemble Modelling approach, as it offers better predictions and is more robust than single-model approaches (Zhou 2012, Shabani et al 2016.…”
Section: Scientific Methodologymentioning
confidence: 99%
See 3 more Smart Citations