The University of St Andrews

Research@StAndrews:FullText >
Biology (School of) >
Biology >
Biology Theses >

Please use this identifier to cite or link to this item:
This item has been viewed 17 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
LauraMarshallPhDThesis_LessChapter4.pdf8.74 MBAdobe PDFView/Open
Title: Statistical developments for understanding anthropogenic impacts on marine ecosystems
Authors: Marshall, Laura
Supervisors: Harwood, John
MacKenzie, Monique Lea
Donovan, Carl
Keywords: Management
Mixture models
Computer intensive
Grey seals
Marine mammals
Generalised additive models
Zero inflated models
Acoustic pollution
Monitoring zones
Spatial modelling
Issue Date: 20-Jun-2012
Abstract: 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.
Other Identifiers:
Type: Thesis
Publisher: University of St Andrews
Appears in Collections:Scottish Oceans Institute Theses
Biology Theses

This item is protected by original copyright

This item is licensed under a Creative Commons License
Creative Commons

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


DSpace Software Copyright © 2002-2012  Duraspace - Feedback
For help contact: | Copyright for this page belongs to St Andrews University Library | Terms and Conditions (Cookies)