Illegal, Unreported and Unregulated fishing has had a major role in the overexploitation of global fish populations. In response, international regulations have been imposed and many fisheries have been 'eco-certified' by consumer organizations, but methods for independent control of catch certificates and eco-labels are urgently needed. Here we show that, by using gene-associated single nucleotide polymorphisms, individual marine fish can be assigned back to population of origin with unprecedented high levels of precision. By applying high differentiation single nucleotide polymorphism assays, in four commercial marine fish, on a pan-European scale, we find 93-100% of individuals could be correctly assigned to origin in policy-driven case studies. We show how case-targeted single nucleotide polymorphism assays can be created and forensically validated, using a centrally maintained and publicly available database. Our results demonstrate how application of gene-associated markers will likely revolutionize origin assignment and become highly valuable tools for fighting illegal fishing and mislabelling worldwide.

Overexploitation

Fish stock

10.1038/ncomms1845

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Citations (256)

User Context Analysis from Spatial Interface Interactions

European Conference on Information Systems (2008)

Eoin Mac Aoidh Michela Bertolotto David C. Wilson

Our work addresses the problem of information overload in the spatial domain. Information overload can confuse and overwhelm users by providing too much detail, often complicating simple interaction tasks. Knowing users’ interests allows the system to alleviate information overload, and therefore facilitate interaction, by tailoring the information displayed at the interface to individual user preferences. Spatial data (e.g. topographic maps) are rich in content and typically require explicit actions such as zooming and panning to view their extent. This paper presents preliminary results which show that user’s spatial interests can viably be ascertained by monitoring mouse movements and clicks as spatial implicit interest indicators. An interest modelling algorithm analyses this interaction information to produce user interest models, reflecting each user’s latest interests as they change over time. These models can be used for the personalisation of user datasets and interfaces, balancing the display content with the relevance of the available information in the system to the user and his context.

Relevance

Information Overload

Panning (audio)

Interface (matter)

Spatial contextual awareness

Source

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Citations (3)

Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus)

Molecular Ecology (2013)

Sara Vandamme Gregory E. Maes Joost A. M. Raeymaekers Karl Cottenie Albert K. Imsland

Unravelling the factors shaping the genetic structure of mobile marine species is challenging due to the high potential for gene flow. However, genetic inference can be greatly enhanced by increasing the genomic, geographical or environmental resolution of population genetic studies. Here, we investigated the population structure of turbot (Scophthalmus maximus) by screening 17 random and gene-linked markers in 999 individuals at 290 geographical locations throughout the northeast Atlantic Ocean. A seascape genetics approach with the inclusion of high-resolution oceanographical data was used to quantify the association of genetic variation with spatial, temporal and environmental parameters. Neutral loci identified three subgroups: an Atlantic group, a Baltic Sea group and one on the Irish Shelf. The inclusion of loci putatively under selection suggested an additional break in the North Sea, subdividing southern from northern Atlantic individuals. Environmental and spatial seascape variables correlated marginally with neutral genetic variation, but explained significant proportions (respectively, 8.7% and 10.3%) of adaptive genetic variation. Environmental variables associated with outlier allele frequencies included salinity, temperature, bottom shear stress, dissolved oxygen concentration and depth of the pycnocline. Furthermore, levels of explained adaptive genetic variation differed markedly between basins (3% vs. 12% in the North and Baltic Sea, respectively). We suggest that stable environmental selection pressure contributes to relatively strong local adaptation in the Baltic Sea. Our seascape genetic approach using a large number of sampling locations and associated oceanographical data proved useful for the identification of population units as the basis of management decisions.

Seascape

Local adaptation

Population Genetics

10.1111/mec.12628

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Citations (44)

A Study of Spatial Interaction Behaviour for Improved Delivery of Web-Based Maps

Lecture notes in computer science (2009)

Eoin Mac Aoidh David C. Wilson Michela Bertolotto

10.1007/978-3-642-10601-9_9

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Citations (8)

Personalizing Location-Aware Applications.

Eoin Mac Aoidh Michela Bertolotto David C. Wilson

Source

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Citations (1)

Improving Archaeological Heritage Information Access Through a Personalised GIS Interface

Lecture notes in computer science (2006)

Eoin Mac Aoidh A. Koinis Michela Bertolotto

Interface (matter)

10.1007/11935148_13

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Citations (9)

Implicit Profiling for Contextual Reasoning About Users' Spatial Preferences.

Eoin Mac Aoidh Michela Bertolotto David C. Wilson

Information overload is a well documented problem in many application domains. A way of addressing this problem is by creating user profiles and by filtering out all irrelevant information while presenting the users only with information that matches their interests. Our focus is on the spatial domain. We follow an implicit profiling approach by logging users’ mouse movements as they interact with spatial data. The logged information is analysed to support context reasoning about each user’s level of interest in the spatial features shown to him. These inferred interests are used to calculate an interest model for each individual user. Based on this interest model we can filter the information returned to the user, reducing information overload and tailoring the content to suit the users spatial preferences. In this paper we present our approach and discuss the implementation of the system we are developing for capturing users’ spatial interactions and generating user profiles.

Profiling (computer programming)

Information Overload

Spatial contextual awareness

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Citations (6)

Understanding geospatial interests by visualizing map interaction behavior

Information Visualization (2008)

Eoin Mac Aoidh Michela Bertolotto David C. Wilson

Much information can be derived about users’ geospatial information requirements based on how they interact with a geospatial system. Our research focuses on the analysis of mouse movements and map navigation operations as a proxy to implicitly determine users’ interests. Visualization provides an effective way of investigating how these interactions can provide an insight into users’ preferences and task at hand. This article describes GIViz (Geospatial Interactions Visualizer), a visualization tool that enables system designers to analyze user interface behavior with a geospatial data set. Behavior traits identified can be exploited to improve map personalization engines. In particular, this article discusses the visualization of user interface behavior to gain a better understanding of the correlation between users’ actions, the interaction strategy employed for approaching a particular type of task and users’ interests.

Geovisualization

Interface (matter)

10.1057/ivs.2008.24

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Citations (30)

Correction: Corrigendum: Gene-associated markers provide tools for tackling illegal fishing and false eco-certification

Nature Communications (2013)

Einar Eg Nielsen Alessia Cariani Eoin Mac Aoidh Gregory E. Maes Ilaria Milano

dbSNP

Identification

Table (database)

Section (typography)

10.1038/ncomms2975

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Citations (5)