Statistical developments for understanding anthropogenic impacts on marine ecosystems
MetadataShow full item record
Over the past decades technological developments have both changed and increased human influence on the marine environment. We now have greater potential than ever before to introduce disturbance and deplete marine resources. Two of the issues currently under public scrutiny are the exploitation of fish stocks worldwide and levels of anthropogenic noise in the marine environment. The aim of this thesis is to investigate and develop novel analyses and simulations to provide additional insight into some of the challenges facing the marine ecosystem today. These methodologies will improve the management of these risks to marine ecosystems. This thesis first addresses the issue of competition between humans and grey seals (Halichoerus grypus) for marine resources, providing compelling evidence that a substantial proportion of the sandeels consumed by grey seals in the North Sea are in fact H. lanceolatus, which is not commercially exploited, rather than the commercially important A. marinus. In addition, we present quantitative results regarding sources of bias when estimating the total biomass of sandeels consumed by grey seals. Secondly, we investigate spatially adaptive 2-dimensional smoothing to improve the prediction of both the presence and density of marine species, information that is often key in the management of marine ecosystems. Particularly, we demonstrate the benefits of such methods in the prediction of sandeel occurrence. Lastly this thesis provides a quantitative assessment of the protocols for real-time monitoring of marine mammal presence, which require that acoustic operations cease when an animal is detected within a certain distance (i.e. the "monitoring zone") of the sound source. We assess monitoring zones of different sizes with regards to their effectiveness in reducing the risks of temporary and permanent damage to the animals' hearing, and demonstrate that a monitoring zone of 2 km is generally recommendable.
Thesis, PhD Doctor of Philosophy
Embargo Date: Print and electronic copy of Chapter 4 restricted until 5th June 2017
Embargo Reason: Thesis restricted in accordance with University regulations
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Showing items related by title, author, creator and subject.
Incorporating Model Uncertainty into the Sequential Importance Sampling Framework using a Model Averaging Approach, or Trans-Dimensional Sequential Importance Sampling. Lynam, Christopher; King, Ruth; Thomas, Len; Buckland, Stephen T. (CREEM, University of St Andrews, 2007) - ReportA sequential Bayesian Monte Carlo approach is proposed in which model space can be explored during the Sequential Importance Sampling (SIS, a.k.a. Particle Filtering) fitting process. The algorithm allows model space to ...
Meedeniya, Dulani Apeksha; Perera, Galhenage Indika Udaya Shantha; Bowles, Juliana Kuster Filipe (IEEE, 2015-12-18) - Conference itemSoftware models play a significant role with the growth of software system development based on Model Driven Development (MDD) approach. Model transformations and compositions are the heart of MDD and allow the development ...
Radiation thermo-chemical models of protoplanetary discs IV. Modelling CO ro-vibrational emission from Herbig Ae discs Thi, W.F.; Kamp, I.; Woitke, P.; Van Der Plas, G.; Bertelsen, R.; Wiesenfeld, L. (2013-03) - Journal articleContext. The carbon monoxide (CO) ro-vibrational emission from discs around Herbig Ae stars and T Tauri stars with strong ultraviolet emissions suggests that fluorescence pumping from the ground X1Σ+ to the electronic A1Π ...