Developing and assessing methods to census and monitor burrow-nesting seabirds in Ireland

Show simple item record

dc.contributor.advisor Quinn, John en
dc.contributor.advisor Jessopp, Mark John en
dc.contributor.author Arneill, Gavin E.
dc.date.accessioned 2019-01-25T09:35:17Z
dc.date.available 2019-01-25T09:35:17Z
dc.date.issued 2018
dc.date.submitted 2018
dc.identifier.citation Arneill, G. E. 2018. Developing and assessing methods to census and monitor burrow-nesting seabirds in Ireland. PhD Thesis, University College Cork. en
dc.identifier.endpage 177 en
dc.identifier.uri http://hdl.handle.net/10468/7358
dc.description.abstract Censusing and monitoring populations are key priorities in conservation. This is particularly challenging for seabirds, where several life history characteristics and the remote nature of breeding colonies of many species make them difficult to study. Burrow-nesting species are the most difficult of all seabird groups to census due to their cryptic breeding habits, nocturnal behaviours within breeding colonies, and coexistence with other burrowing species. Historically estimates of population size in these species were obtained subjectively from the activity within colonies on a given day/night, though the relatively recent development of methodologies such as tape-playbacks have made it possible to generate population estimates using quantitative data. Nevertheless, gaps remain in our knowledge, such as the appropriate sampling approaches to take, the efficacy of some recently established automated methods, and the use of predictive species distribution modelling that could guide these time consuming efforts. In my thesis, we address some of these issues for three key burrow-nesting species in the northern hemisphere: the Manx shearwater (Puffinus puffinus), the European storm petrel (Hydrobates pelagicus) and the Atlantic puffin (Fratercula arctica). In the first paper, we explore a range of sampling approaches to estimate and detect changes in population size, using data from Manx shearwater censuses as a case study. This demonstrated that a priori knowledge of the density and distribution in a colony allows multi-stage stratification that dramatically improves the accuracy of population estimates at low levels of sampling. Power analyses found that many existing monitoring efforts are likely to fail to detect population trends due to the enormous effect of high variation of densities between randomly selected plots. However, subjectively sampling within areas of highest density significantly increases the power to detect declines. My thesis also shows that these breeding distributions can be predicted a priori using ensemble species distribution models built on density data from censuses, habitat assessments, and digital elevation models. Another paper in my thesis examines the efficacy of emerging automated techniques, which is far from clear. Results here show, for the first time, that soundscapes obtained from passive acoustic monitoring in the Manx shearwater are driven by in-colony flight paths rather than local nest density, although a decline in density within the colony over two years coincided with a decline in acoustic activity. The final empirical paper reports new population size estimates for several colonies and uses matrix population models to retrodict populations to explicate discrepancies between our estimates and those of the only previous census, Seabird 2000 (1998-2002). The findings here suggest that existing estimates for burrow-nesting Procellariiformes in Ireland are likely vast underestimates, however, the extent to which this is true for the national estimates cannot be quantified as factors that determine population size vary across a species range. Atlantic puffin populations appear to be in decline across the sites considered in this study. My thesis as a whole highlights the need for the revision and standardisation of the methods used to census and monitor burrow-nesting seabirds. For these breeding populations in the geographic region studied here, the Seabird Monitoring Handbook should be updated. Finally, the findings of this PhD research are synthesised in the form of an Irish Wildlife Manual, providing the National Parks and Wildlife service feasible options to fulfil their international obligations to report the conservation status of these populations. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher University College Cork en
dc.rights © 2018, Gavin Euan Arneill. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/ en
dc.subject Atlantic puffin en
dc.subject Manx shearwater en
dc.subject European storm petrel en
dc.subject Seabird en
dc.subject Zoology en
dc.subject Census methods en
dc.subject Monitoring methods en
dc.title Developing and assessing methods to census and monitor burrow-nesting seabirds in Ireland en
dc.type Doctoral thesis en
dc.type.qualificationlevel Doctoral en
dc.type.qualificationname PhD en
dc.internal.availability Full text available en
dc.check.info Not applicable en
dc.description.version Accepted Version
dc.contributor.funder National Parks and Wildlife Service en
dc.description.status Not peer reviewed en
dc.internal.school Biological, Earth and Environmental Sciences en
dc.check.type No Embargo Required
dc.check.reason Not applicable en
dc.check.opt-out No en
dc.thesis.opt-out false
dc.check.embargoformat Embargo not applicable (If you have not submitted an e-thesis or do not want to request an embargo) en
ucc.workflow.supervisor j.quinn@ucc.ie
dc.internal.conferring Spring 2019 en
dc.internal.ricu Centre for Marine Renewable Energy Ireland (MaREI) en
dc.internal.ricu Environmental Research Institute (ERI) en


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2018, Gavin Euan Arneill. Except where otherwise noted, this item's license is described as © 2018, Gavin Euan Arneill.
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement