University of Plymouth
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Survey to establish the infaunal species composition and sediment properties of maerl bed habitats in Falmouth Harbour, from SCUBA diver collected core samples. Surveys were conducted in response to proposed dredging activities to deepen the shipping channel. Core samples collected by divers September - November 2012 and July - August 2013 were used to assess habitat quality and species distribution by quantifying the abundance of infauna and analysing organic content, particle size and maerl structure. There were 6 sites divided into three 5m2 plots. SCUBA divers collected 8 maerl core samples per plot: 5 cores for faunal analysis and 3 cores for sediment and organic content analysis.
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Survey to establish the location and assess the extent, distribution and species composition of maerl bed habitats and quantify the abundance of associated epifauna communities in Falmouth Harbour, UK using a high definition towed underwater video system. Surveys were conducted in response to proposed dredging activities to deepen the shipping channel. The survey took place in November 2011 and transects were approximately 200 x 0.5 metres
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Survey to establish the location and assess the extent, distribution and species composition of maerl bed habitats and quantify the abundance of associated epifauna communities in Falmouth Harbour, UK using a high definition towed underwater video system. Surveys were conducted in response to proposed dredging activities to deepen the shipping channel. The surveys took place in February 2012 and transects were approximately 200 x 0.5 metres.
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Dataset of cold water corals from seamounts.
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Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).
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Classification of the Atlantic Ocean seabed into broad-scale benthic habitats employing a hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. For ease of use, a layer is provided for each level. Level 1 has 4 classes. Level 2 has 15 classes nested within level 1. Layers indices are 2 digits (1[level1 class index]1[level 2 class index]). Level 3 has 157 classes nested within level 2 and class names have 4 digits (1digit[level1 class index]1[level 2 class index]2[level 3 class index]). Note that the classification was performed for the whole world and thus it has more classes than in the presented layer.
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Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).
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Classification of the Atlantic Ocean seabed into broad-scale benthic habitats employing a hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. For ease of use, a layer is provided for each level. Level 1 has 4 classes. Level 2 has 15 classes nested within level 1. Layers indices are 2 digits (1[level1 class index]1[level 2 class index]). Level 3 has 157 classes nested within level 2 and class names have 4 digits (1digit[level1 class index]1[level 2 class index]2[level 3 class index]). Note that the classification was performed for the whole world and thus it has more classes than in the presented layer.
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<p>Species distribution models (GAM, Maxent, and Random Forest ensemble) predicting the distribution of Sea pens and burrowing megafauna assemblages in the Northeast Atlantic. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image samples. Modeling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.</p>
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Stanton Banks was designated as a Special Area of Conservation (SAC) through the Offshore Marine Conservation (Natural Habitats) Regulations 2007 and has now been accepted as a Site of Community Importance (SCI). The Joint Nature Conservation Committee (JNCC) in partnership with Cefas and supported by British Geological Survey (BGS) staff conducted a field survey to investigate the presence and extent of Annex I habitat features within the Stanton Banks SCI in order to facilitate discussions on possible fisheries management options. The survey was designed to acquire sufficient data to provide a robust characterisation of the Annex I rocky reef habitats, targeting areas of particular interest to fishers, and to contribute to the development of a robust baseline for future monitoring within the proposed SAC. In addition, the survey involved the characterisation and mapping of the sedimentary habitats surrounding the reef feature within the site boundary, in order to provide information on the wider environmental context.