Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland

The amount of operated oil transports continues to increase in the Gulf of Finland and in the case of an accident hazardous amounts of oil may be spilled into the sea. The oil accident may be harmful for the common guillemot and long-tailed duck populations. In this study expert knowledge regarding...

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Main Author: Venesjärvi, Riikka
Other Authors: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Bio- ja ympäristötieteiden laitos, Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2012
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/37781
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author Venesjärvi, Riikka
author2 Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Bio- ja ympäristötieteiden laitos Department of Biological and Environmental Science University of Jyväskylä Jyväskylän yliopisto
author_facet Venesjärvi, Riikka Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Bio- ja ympäristötieteiden laitos Department of Biological and Environmental Science University of Jyväskylä Jyväskylän yliopisto Venesjärvi, Riikka Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Bio- ja ympäristötieteiden laitos Department of Biological and Environmental Science University of Jyväskylä Jyväskylän yliopisto
author_sort Venesjärvi, Riikka
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description The amount of operated oil transports continues to increase in the Gulf of Finland and in the case of an accident hazardous amounts of oil may be spilled into the sea. The oil accident may be harmful for the common guillemot and long-tailed duck populations. In this study expert knowledge regarding the behaviour and population dynamics of common guillemot and long-tailed duck in the Gulf of Finland was used to build a model to assess the impacts of an oil spill on the mortality and population size of these species. The Bayesian networks were used in the modelling. Based on the results the breeding colony of guillemots in Aspskär may survive in the consequence of recolonization. In conclusion, sufficient cleaning of the breeding site is important. The loss of one year offspring production may not have severe impact on the population size, the survival of adult breeders is more significant. The Baltic Sea population of long-tailed duck suffer from high nesting mortality at the breeding sites in the Northern Arctic Ocean. Thus the population has low offspring production; in the lack of chicks the possible oil spill may be directed only to adult breeders. The loss of experienced breeders during their migration may be harmful for the population. The models of common guillemot and long-tailed duck created and their results may be utilized in later oil impact studies on sensitive species.
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spellingShingle Venesjärvi, Riikka Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland The Gulf of Finland oil spill Uria aalge Clangula hyemalis Bayesian networks Akvaattiset tieteet Aquatic sciences 4012 öljyonnettomuudet etelänkiisla alli linnut Suomenlahti
title Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
title_full Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
title_fullStr Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
title_full_unstemmed Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
title_short Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
title_sort assessment of the impacts of an oil spill on the populations of common guillemot uria aalge and long tailed duck clangula hyemalis an expert knowledge based bayesian network for the gulf of finland
title_txtP Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
topic The Gulf of Finland oil spill Uria aalge Clangula hyemalis Bayesian networks Akvaattiset tieteet Aquatic sciences 4012 öljyonnettomuudet etelänkiisla alli linnut Suomenlahti
topic_facet 4012 Akvaattiset tieteet Aquatic sciences Bayesian networks Clangula hyemalis Suomenlahti The Gulf of Finland Uria aalge alli etelänkiisla linnut oil spill öljyonnettomuudet
url https://jyx.jyu.fi/handle/123456789/37781 http://www.urn.fi/URN:NBN:fi:jyu-201205071615
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