2011
DOI: 10.1002/aqc.1224
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Development of benthic monitoring methods using photoquadrats and scuba on heterogeneous hard‐substrata: a boulder‐slope community case study

Abstract: ABSTRACT1. Photoquadrats enable efficient and cost-effective quantitative estimation of epibenthic communities. Despite their utility, however, there has been limited use of photoquadrats for such purposes in temperate north-west Europe, where there is also a growing need for standardized approaches to marine monitoring.2. A rapid photoquadrat-based methodology was trialled by scuba divers on a heterogeneous boulder-slope habitat in a Special Area of Conservation (SAC) in Northern Irish waters. To investigate … Show more

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Cited by 19 publications
(17 citation statements)
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“…Diving time is short but the subsequent frame treatment is long. Cover data is finally estimated using sub-quadrats (Bussotti et al 2006, Deter et al 2012, contact points (Foster et al 1991, Meese and Tomich 1992, Van Rein et al 2011 or species patches , Piazzi et al 2014. These methods have increased in popularity and specific image processing software for them has been released (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Diving time is short but the subsequent frame treatment is long. Cover data is finally estimated using sub-quadrats (Bussotti et al 2006, Deter et al 2012, contact points (Foster et al 1991, Meese and Tomich 1992, Van Rein et al 2011 or species patches , Piazzi et al 2014. These methods have increased in popularity and specific image processing software for them has been released (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…The photoquadrat apparatus was constructed from PVC and attached to the underwater housing camera following other studies (Preskitt et al, 2004;Van Rein et al, 2011). Abundance estimations were made calculating the percentage cover by 100 fixed point-interception (Van Rein et al, 2011;Masi et al, 2009;Van Rein et al, 2012) using image analysis software NIS-Elements Advanced Research V.4.0 (Nikon NIS-Elements Advanced Research, 2014). In the two studied substrates, specimens were identified to the lowest taxonomic level of resolution possible, in most cases to species level.…”
Section: Biological Characterizationmentioning
confidence: 99%
“…Van Rein et al (2011) and Perkins et al (2016) suggest that, while a higher number of points per image can increase the detection rate of more organisms within an image, increasing the number of scored images using fewer points is likely have a similar (or greater) effect. Ideally, increasing both the number of images scored and the number of points scored within an image would result in greater power (Roelfsema et al 2006), but preference is usually for increasing the number of images (Perkins et al 2016).…”
Section: Annotation Frameworkmentioning
confidence: 99%