Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Björn Elsäßer is active.

Publication


Featured researches published by Björn Elsäßer.


Journal of the Royal Society Interface | 2014

Understanding macroalgal dispersal in a complex hydrodynamic environment: a combined population genetic and physical modelling approach

Georgina Brennan; Louise Kregting; Gemma E. Beatty; Claudia Cole; Björn Elsäßer; Graham Savidge; Jim Provan

Gene flow in macroalgal populations can be strongly influenced by spore or gamete dispersal. This, in turn, is influenced by a convolution of the effects of current flow and specific plant reproductive strategies. Although several studies have demonstrated genetic variability in macroalgal populations over a wide range of spatial scales, the associated current data have generally been poorly resolved spatially and temporally. In this study, we used a combination of population genetic analyses and high-resolution hydrodynamic modelling to investigate potential connectivity between populations of the kelp Laminaria digitata in the Strangford Narrows, a narrow channel characterized by strong currents linking the large semi-enclosed sea lough, Strangford Lough, to the Irish Sea. Levels of genetic structuring based on six microsatellite markers were very low, indicating high levels of gene flow and a pattern of isolation-by-distance, where populations are more likely to exchange migrants with geographically proximal populations, but with occasional long-distance dispersal. This was confirmed by the particle tracking model, which showed that, while the majority of spores settle near the release site, there is potential for dispersal over several kilometres. This combined population genetic and modelling approach suggests that the complex hydrodynamic environment at the entrance to Strangford Lough can facilitate dispersal on a scale exceeding that proposed for L. digitata in particular, and the majority of macroalgae in general. The study demonstrates the potential of integrated physical–biological approaches for the prediction of ecological changes resulting from factors such as anthropogenically induced coastal zone changes.


Marine Pollution Bulletin | 2013

Coupled hydrodynamic and wastewater plume models of Belfast Lough, Northern Ireland: A predictive tool for future ecological studies

Daniel W. Pritchard; Graham Savidge; Björn Elsäßer

Wastewater outfalls provide a natural laboratory for the study of nutrient dynamics in coastal seas, however if properly designed and operated their impact can be difficult to detect. A model was developed and applied to investigate the effect of variation in hydrodynamic conditions on the transport and dilution of a treated wastewater plume in Belfast Lough, Northern Ireland. To validate these predictions we measured the physiochemical properties of the waters surrounding the outfall with a specific focus on inherent plume tracers likely to be relevant to the study of macroalgae (salinity, nitrogen and phosphorus). The model performed well and our data show high dilution of the plume, even under neap-tide conditions. This provides a spatially and temporally defined predictive framework for future studies investigating the compliance of Northern Irelands coastal waters with European Water Framework Directive objectives and for feasibility studies investigating macroalgal aquaculture near wastewater outfalls.


Ship Technology Research | 2012

A Description of the Stationary Wave Pattern of a Marine Craft in Shallow and Intermediate Water Depths

Björn Elsäßer; Trevor Whittaker

Abstract A stationary phase model is used to study supercritical waves generated by high speed ferries. Some general relationships in terms of wave angle, propagation direction, dispersion relationship and depth wavelength relationship are explored and discussed. In particular, it is shown that the wave pattern generated by high speed craft at supercritical speeds depends mainly on the relationship of water depth and ship speed and that the wave patterns are similar in terms of location of crests and troughs for a given depth Froude number. In addition it is found that the far field wave pattern can be described adequately using a single moving point source. The theoretical model compares well with towing tank measurements and full scale data over a range of parameters and hull shapes. The paper also demonstrates that the far field wave pattern at supercritical speeds should be non-dimensionalised by water depth and not hull length unlike it is usually done for subcritical speeds.


Marine Environmental Research | 2018

Hierarchical structuring of genetic variation at differing geographic scales in the cultivated sugar kelp Saccharina latissima

Karen Mooney; Gemma E. Beatty; Björn Elsäßer; Emily S. Follis; Louise Kregting; Nessa E. O'Connor; Gillian E. Riddell; Jim Provan

The cultivation of macroalgae for biofuels, food and fertilisers has increased dramatically in recent years. The demand for such algal-derived products means that large scale cultivation in coastal waters will become necessary to provide sufficient algal biomass. As part of the process of establishing new macroalgal farms, the potential for gene flow between cultivated specimens and natural populations needs to be taken into consideration. Consequently, in the present study we have used a combined population genetic and hydrodynamic modelling approach to determine potential levels and patterns of gene flow in the kelp Saccharina latissima. Microsatellite analysis of 14 populations sampled across the northern part of the Irish Sea indicated four distinct genetic clusters. These were consistent with dispersal patterns indicated by the particle tracking model and show a combination of isolation by distance and genetic structuring due to local hydrodynamic conditions. At smaller scales (less than a few 10s of km), gene flow appears to be fairly extensive, with evidence of local population connectivity due to local currents. At larger scales, however, factors such as freshwater efflux and open water would appear to represent barriers to gene flow. Together, these patterns suggest that factors other than simple geographical distance and proximity need to be taken into account when planning the siting of kelp farms with the aim of minimizing gene flow to and from natural populations.


Journal of Sea Research | 2013

Identifying optimal sites for natural recovery and restoration of impacted biogenic habitats in a special area of conservation using hydrodynamic and habitat suitability modelling

Björn Elsäßer; Jose M. Fariñas-Franco; Conor D. Wilson; Louise Kregting; Dai Roberts


Sustainability | 2017

Experimental Measurement of Wave Field Variations around Wave Energy Converter Arrays

Louise O’Boyle; Björn Elsäßer; Trevor Whittaker


Journal of Sea Research | 2016

Using particle dispersal models to assist in the conservation and recovery of the overexploited native oyster (Ostrea edulis) in an enclosed sea lough

David Smyth; Louise Kregting; Björn Elsäßer; Richard Kennedy; Dai Roberts


Journal of Experimental Marine Biology and Ecology | 2013

The influence of water motion on the growth rate of the kelp Laminaria hyperborea

Louise Kregting; Andrew J. Blight; Björn Elsäßer; Graham Savidge


Journal of Experimental Marine Biology and Ecology | 2016

The influence of water motion on the growth rate of the kelp Laminaria digitata

Louise Kregting; Andrew J. Blight; Björn Elsäßer; Graham Savidge


Ocean Engineering | 2017

The application of Froude scaling to model tests of Oscillating Wave Surge Converters

Pal Schmitt; Björn Elsäßer

Collaboration


Dive into the Björn Elsäßer's collaboration.

Top Co-Authors

Avatar

Louise Kregting

Queen's University Belfast

View shared research outputs
Top Co-Authors

Avatar

Graham Savidge

Queen's University Belfast

View shared research outputs
Top Co-Authors

Avatar

Pal Schmitt

Queen's University Belfast

View shared research outputs
Top Co-Authors

Avatar

Trevor Whittaker

Queen's University Belfast

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Dai Roberts

Queen's University Belfast

View shared research outputs
Top Co-Authors

Avatar

Gemma E. Beatty

Queen's University Belfast

View shared research outputs
Top Co-Authors

Avatar

Jim Provan

Aberystwyth University

View shared research outputs
Top Co-Authors

Avatar

Pia Schuchert

Queen's University Belfast

View shared research outputs
Researchain Logo
Decentralizing Knowledge