Predicting the habitat distribution and grazing of coral reef fish

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Predicting the habitat distribution and grazing of coral reef fish

Show simple item record Bejarano Chavarro, Sonia en_GB 2010-05-12T09:54:38Z en_GB 2011-01-25T17:02:11Z en_US 2013-03-21T11:06:31Z 2009-12-14 en_GB
dc.description.abstract Although today coral reefs need to be managed to ensure their persistence in the challenging conditions imposed by a rapidly changing environment, practitioners worldwide often lack adequate tools to achieve this. Spatial patterns of the abundance of reef resources, but also of the processes that govern reef recovery after disturbance, need to be mapped at relevant scales to identify priority conservation measures. In this thesis I took important steps towards the construction of adequate tools for reef managers: towards creating maps of reef resilience. The first step comprised the accuracy enhancement of thematic maps to discriminate typical forereef habitats that differ in their structural complexity. The second step consisted of the creation of statistical models to predict spatial patterns of the density and biomass of several fish species including grazers. To date, fish species richness can be mapped but not the spatial patterns of abundance or biomass of key species of reef fish. Here, I demonstrate that it is possible to predict spatial patterns of the abundance of key species of grazers across large scales on Caribbean reefs by mapping their acoustic roughness. The third and fourth steps focused on improving our understanding of the process of parrotfish grazing on Pacific reefs. I created models to predict the grazing impact of populations of grazers from their abundance data incorporating sources of spatio-temporal variability in their grazing behaviour. Although grazing of Pacific parrotfish communities is a subject of growing concern and several aspects of its dynamics are well understood on the Great Barrier Reef, this thesis contributes with two major future goals: (1) to rank Micronesian parrotfish species according to their relative contribution to grazing impact and (2) to aid the generation of maps of grazing. en_GB
dc.identifier.uri en_GB
dc.language.iso en en_GB
dc.publisher University of Exeter en_GB
dc.title Predicting the habitat distribution and grazing of coral reef fish en_GB
dc.type Thesis or dissertation en_GB 2011-11-11T05:00:05Z en_US 2013-03-21T11:06:31Z
dc.contributor.advisor Mumby, Peter en_GB
dc.publisher.department Biological Sciences en_GB
dc.type.degreetitle PhD in Biological Sciences en_GB
dc.type.qualificationlevel Doctoral en_GB
dc.type.qualificationname PhD en_GB

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